math and science background for process...
TRANSCRIPT
Math and Science Background for
Process Instrumentation
1.0 Introduction to Process Control Instrumentation 1.1 A Brief History of Control Systems and the Use of Feedback
1.2 Industrial Control System Types
1.3 Batch Processing vs. Continuous Manufacturing Processes
1.3.1 Batch Processing
1.3.2 Continuous Manufacturing Processes
2.0 Some Math Background
2.1 Review of Algebra and Common Algebraic Manipulations 2.1.1 Introduction to Algebra and Its Uses
2.1.2 Solving for One Unknown
2.1.3 Order of Operations
2.1.4 Manipulating Equations
2.2 Review of Graphs 2.2.1 Line Graphs
2.2.2 Scatter Plots
2.2.2.1 Best Fit Straight Line and Positive (Direct) Relationships
2.2.2.2 Best Fit Straight Line and Negative (Inverse) Relationships
2.2.2.3 Best Fit Curved Line Fit Relationships
2.3 Linear Equations, Linear Interpolation and Regression 2.3.1 Linear Equations Review
2.3.2 Linear Interpolation
2.3.3 Linear Regression
2.3.3.1 Linear Regression Equations – Least Squares Method
2.4 Some Common Equations 2.4.1 Area Equations
2.4.2 Volume Equations
2.5 Unit Conversions 2.5.1 Length Unit Conversions and Unit Analysis
2.5.2 Area Unit Conversions 2.5.3 Volume Unit Conversions 2.5.4 Mass Unit Conversions 2.5.5 Temperature Unit Conversions
3.0 Test Instruments Used with Process Control Instrumentation 3.1 Pressure Calibrators
3.2 Temperature Calibrators
3.3 Current Calibrator
4.0 Some Science Background and Review 4.1 Some Definitions
4.1.1 Matter
4.1.2 Mass
4.1.3 Energy
4.1.4 Power
4.1.5 Force
4.1.6 Weight
4.1.7 Solid
4.1.8 Fluid
4.1.9 Liquid
4.1.10 Gasses
4.1.11 Vessels
4.1.11.1 Closed Vessel
4.1.11.2 Open Vessel
4.2 Force of Gravity
4.3 Density
4.4 Relative Density and Specific Gravity
4.5 Pressure
4.5.1 Hydrostatic Pressure
4.5.2 Absolute Pressure, Gage Pressure and Differential Pressure
4.5.2.1 Absolute Pressure
4.5.2.2 Gage Pressure
4.5.3 Inches of Water Column, inH2O (Pressure)
4.5.4 Hydrostatic Pressure and Closed Vessels
4.6 Archimedes Principal
5.0 Basic Process Instrumentation Concepts and Terminology
5.1 Process Variables and Process Instruments
5.2 Process Instrumentation
5.3 P&IDs
5.4 Standard Signals (The Short Story)
5.6 Percent (%) Value of a Process Variable
5.7 Elements/Sensors
5.8 Transmitters
5.8 Transmitters (cont.)
5.9 Indicators
5.10 Recorders
5.11 Standard 4-20mA Signals and Systems
5.12 Standard 3-15 PSI Signals and Systems
1.0 Introduction to Process Control Instrumentation This class is concerned with the instrumentation used to measure, indicate and control the
process variables affecting a product as it is manufactured. The instrumentation covered
in this course is collectively referred to as process and control instrumentation.
1.1 A Brief History of Control Systems and the Use of Feedback
One of the most notorious early examples of an automatic control system is the float
regulator used for liquid level control; this was developed in the 1740s. The float
regulator is an example of a control system that employs the use of feedback. A float
regulator uses a float as a sensor to provide level (height) feedback to the mechanism that
controls the level of a tank.
Water
Source
Flow
Valve
Float
Drain
Figure 1.1.1 Float Regulator
Between World War I & II, the use of feedback control methods made automated
equipment became more common, often in place of manually operated equipment.
World War II lead to rapid advances feed back control systems due to the high level of
sophistication required by military weapons. After WW II much of this knowledge and
technology was transferred to the field of industrial control systems.
1.2 Industrial Control System Types The types of industrial control systems found in manufacturing can be separated into two
main groups, motion control systems and process control systems. Motion control
systems are concerned with measuring, indicating and controlling (regulating) the
position and velocity of a product as it is being manufactured. Process control systems
are concerned with controlling (regulating) all other variables affecting a product as it is
manufactured. The four process variables that we will focus on most in this class are
temperature, pressure, level and flow.
1.3 Batch Processing vs. Continuous Manufacturing Processes Manufacturing processes can be categorized as either batch processes or continuous
processes.
1.3.1 Batch Processing A batch process is a manufacturing process where a timed sequence of operations is
performed on a product as it is manufactured.
Example 1.3.1.1 Making Apple Cider
1. Grind up the apples.
2. Squeeze the juice out of the ground apples.
3. Pour the apple juice into wooden barrels and add yeast, then allow contents of
barrel to ferment until completed (until it stops bubbling).
4. Transfer cider to kegs ready for shipment.
Apples
Grinder
Ground
Apples
1. Grind up the apples. 2. Squeeze the juice out of the ground apples.
Cider
Press
3. Pour the apple juice into wooden
barrels and add yeast, then allow
contents of barrel to ferment until
completed (until it stops bubbling).
Raw
Cider
Wooden
Barrel
Raw
Cid
er
Wooden
Barrel Keg
4. Transfer cider to kegs ready for shipment.
Figure 1.3.1.1 Batch Process Example, Apple Cider Production
1.3.2 Continuous Manufacturing Processes In a continuous manufacturing process, one or more operations are performed on a
product simultaneously as it moves continuously through a process as it is manufactured.
Example 1.3.2.1 Making Paper
When making paper, each of the following process operates on the source
material simultaneously as paper is produced. Debarked logs continuously enter
the chipper where they arc chipped. The chips pass through a digester where the
wood chips are chemically broken down into pulp. The resulting pulp is washed,
bleached and cleaned. The clean pulp enters the paper machine where it is
converted from a slurry to paper which is wound using a winder.
Chipper
Digester
Washer
Bleaching
Tower
Cleaning
Stage
Head
Box
Winder
Dryer
Paper Machine
Debarked Logs
Figure 1.3.2.1 Continuous Process Example, Paper Production
2.0 Some Math Background
2.1 Review of Algebra and Common Algebraic Manipulations
This section is a Brief Review of Algebra. 2.1.1 Introduction to Algebra and Its Uses Math is used to solve problems in many professions including technical fields. It is
important to express a mathematical concept in a way that can easily be documented and
communicated to other professionals in the same field. One way to document a
mathematical concept takes the form of a word equation.
Example 2.1.1.1: While working for a food service, a word equation to
calculate the total quantity of fruit purchased by a customer might be written as
follows:
Fruit = Apples + Mangos + Bananas (equation 2.1)
Given a customer who purchased 3 apples, 4 mangos and 0 bananas, the quantity
of fruit can be calculated by replacing the words in the word equation with the
quantity of each item:
Fruit = 3 + 4 + 0
Fruit = 7
From this point on each word in a word equation will be referred to as a variable because
it represents a numeric value which is not fixed. A variable is called an unknown
variable unless it is given a value which replaces the word with a number. Since it is
often cumbersome or inconvenient to write large word equations the variables are
typically abbreviated to a single alphabetical symbol in place of the entire word in the
equation.
Example 2.1.1.2
Given: F = Fruit, A = Apples, M = Mangos, B = Bananas and equation 2.1
Therefore:
F = A + M + B (equation 2.2)
2.1.2 Solving for One Unknown When asked to solve an equation with one unknown it is the task of the problem solver is
to somehow calculate the value of the unknown variable. In the some cases such as
example 2.1.1.1 this may be as simple as replacing all the know values of variables into
an equation and calculating the result.
Example 2.1.2.1
A = B + C, B = 2 and C = 3
A = 2 + 3
A = 5
Example 2.1.2.2
z = u - v, u = 2 and v = 6
z = 2 - 6
z = -4
Example 2.1.2.3
w = x - y, x = 1 and y = -4
w = 1 – (-4)
w = 5
Example 2.1.2.4
i = j ∙ k, j = 3 and k = 8
i = 3 * 8 (* and ∙ mean multiply)
i = 24
Example 2.1.2.5
P= Q / r, Q = 12 and r = 4
P = 12 / 4 (/ means divide)
P = 3
2.1.3 Order of Operations
When solving an equation with one unknown variable, but more that two known
variables and/or numbers, it is traditional to perform your calculations from left to right if
all of the operators are the same:
Example 2.1.3.1
a = b + c + 7 + 1, b = 5 and c = 6
a = 5 + 6 + 7 +1
a = 11 + 7 + 1
a = 18 + 1
a = 19
Example 2.1.3.2
a = b ∙ c ∙ 4 ∙ 5, b = 2 and c = 3
a = 2 ∙ 3 ∙ 4 ∙ 5
a = 6 ∙ 4 ∙ 5
a = 24 ∙ 5
a = 120
When more than type of operation is present, the order that they are performed may be
different from simply moving from left to right. Some operations are more “important”
and are to be performed before lower ranking operations. The order of operations is
determined by the following rules in the following order:
1) Perform all operations inside brackets.
2) Perform all multiplies and divides from left to right.
3) Perform all additions and subtractions from left to right.
It does not matter if upper or lower case letters are used to write an equation, just take
care not to change the case of a letter in an equation while solving a problem in order to
avoid confusion.
Example 2.1.3.3
u = v + w x, v = 3, w = 5, x = 4
u = 3 + (5) (4) (A brackets mean multiply by the following number.)
u = 3 + 20
u = 23
Example 2.1.3.4
u = (v + w) x, v = 3, w = 5, x = 4
u = (3 + 5) (4) (Calculate the contents of the brackets first.)
u = (8) (4) (The brackets mean multiply by the following number.)
u = 32
2.1.4 Manipulating Equations
Often the unknown variable does not appear on the left hand side of an equation as we
would like. In this case the equation needs to be manipulated before it can be solved.
For equations that only involve sums and/or differences, the known values are eliminated
from the side of the equation that contains the unknown value. This is done by either
adding or subtracting each known value from the both sides of the equation that in a way
that separates it from the unknown variables.
Example 2.1.4.1
Given: u = v + w, u = 6, v=? and w = 9
Find: v=?
Solution 1:
u = v + w (Substitute the known values.)
6 = v + 9 (Next, subtract 9 from both sides of equation.)
6 – 9 = v + 9 – 9 (The struck through 9s are eliminated from the next line.)
-3 = v + 0 = v
Now rewrite the equation with the unknown on the left:
v = -3
or
Solution 2:
u = v + w
Subtract w from both sides:
u – v = v + w – w (All struck through w are eliminated from the next line.)
u – v = w (Now rewrite the equation with the unknown on the left.)
w = u - v (Substitute the known values.)
w = 6 – 9
If the unknown variable in an equation is multiplied by a coefficient (multiplier) it will be
necessary to divide both sides of the equation by this coefficient.
Example 2.1.4.2
Given: y = m x + b, y = 12, m=3, b = 6 and x = ?
Find: x=?
Solution 1:
y = m x + b (Substitute the known values.)
12 = 3 x + 6
12 - 6 = 3 x + 6 - 6 (Subtract 6 from both sides of equation.)
6 = 3x (Now rewrite the equation with the unknown on the left)
3x = 6
3 x / 3 = 6 / 3 (divide by 3 on both sides)
x = 2
or
Solution 2:
y = m x + b (Subtract b from both sides.)
y – b = m x + b – b (All struck through b are eliminated from the next line.)
y – b = m x
(y – b) / m = m x / m = x (Divide both sides by m, then rearrange equation.)
x = (y – b) / m
Substitute the known values.
x = (12 – 6) / 3 = 6 /3 (Substitute the known values.)
x = 2
2.2 Review of Graphs Graphs are a pictorial representation of the relationship between variables. Graphs
typical are intended to show how a quantity known as the dependent variable occurs as a
function of the independent variable. Graphs can be used to represent data obtained
experimentally or from an equation.
2.2.1 Line Graphs A line graph is used to visually represent the relationship between two variables. The
parts of a line graph include:
X-Axis - A horizontal line which is marked with numbers representing values
between the maximum and minimum values of the independent variable.
Y-Axis - A vertical line which is marked with numbers representing values
between the maximum and minimum values of the independent variable.
Origin - The origin is the point on the graph where the x-value and where the y-
axis both equal zero. General this is where X-Axis and the Y-Axis cross each
other, but there can be exceptions.
Points - Points are used to visually represent the relationship between a particular
value of one variable and value of a second variable.
Lines - The straight lines that connect the points on the graph.
Graph of X vs. Y
0
1
2
3
4
5
6
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5
X-AXIS
Y-A
XIS
Figure 2.2.1 Line Graph
2.2.2 Scatter Plot A scatter plot is used to visually represent the relationship between two variables,
especially when exploring relationship between them and when it is assume that one
variable is dependent on the other. A scatter plot is similar to a line graph except that
there are no lines connected point to point on the graph.
Scatterplot of X vs. Y
0
1
2
3
4
5
6
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
X-AXIS
Y-A
XIS
Figure 2.2.2 Scatter Plot
Whenever the points of a scatter plot seem form an approximate straight line it is said that
these variables are correlated, such as the point on the graph above.
2.2.2.1 Best Fit Straight Line and Positive (Direct) Relationships If the points on the scatter plot seem to form a straight with a positive slope, the graph is
said to show a positive or direct relationship between its data points the line. In this case
it is common to add a line called a best fit line which must appear to fit evenly between
the data points. A best fit straight line can be drawn by hand with a ruler or the equation
for the best fit line can be calculated using a special math procedure known as regression.
Scatterplot of X vs. Y
0
1
2
3
4
5
6
7
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
X-AXIS
Y-A
XIS
Figure 2.2.2.1 Scatterplot with Best Fit Straight Line
2.2.2.2 Best Fit Straight Line and Negative (Inverse) Relationships
When the points of a scatterplot forms a straight line that has a negative slop it is said that
the data points have a negative or inverse relationship. In this case a best fit line is still
possible.
Scatterplot of X vs. Y
0
1
2
3
4
5
6
7
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
X-AXIS
Y-A
XIS
Figure 2.2.2.2 Scatter Plot with Best Fit Straight Line (Negative Slop or Inverse)
2.2.2.3 Best Fit Curved Line Fit Relationships
Sometimes there is a relationship between two variables that does conform to a strait best
line, this relationship is referred to as non-linear relationship. A curved line that fits a
non-linear scatter plot is referred to as a best fit curved line.
Scatterplot of X vs. Y
0
0.5
1
1.5
2
2.5
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
X-AXIS
Y-A
XIS
Figure 2.2.2.3 Scatter Plot with Best Fit Curved Line
Figure 2.2.2.4 Scatter Plot with an Outlier Sometimes when collecting experimental data, one or more pieces of data do not seem to
be a good fit for the best fit line or best fit curve. These misfit points are known as
outliers. Outliers are generally considered to be points so far off from the best fit line or
curve than can not be accounted for by chance. Most of the outlier can be attributed to
human error.
Scatter Plot of X vs. Y
0
1
2
3
4
5
6
7
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
X-AXIS
Y-A
XIS
Figure 2.2.2.4 Scatter Plot with an Outlier
Outlier
2.3 Linear Equations, Linear Interpolation and Regression The relationship between the inputs and outputs of many of the instruments and processes
in the industrial process controls field can be predicted using linear equations. The two
main techniques used in this course that make use of linear equations are interpolation
and regression.
2.3.1 Linear Equations Review In short, a linear equation is an equation for a straight line. Below is one example that
illustrates the general look of a graph of a linear equation:
1 2 3 4
1
2
3
4
0
0
y = 0.5 x + 1
x
y
Figure 2.3.1.1 Sample Linear Equation Graph
One of the most common forms that a linear equation can take is known as the Slope
Intercept Form:
y = m x + b (Slop Intercept Form) (equation 2.3)
x - Known as the independent variable, it is the input of the equation.
y - Known as the dependent variable, it is the output of the equation.
m - Known as the slope, it is the steepness of the line.
b – Known as the y-intercept, the y value where the line crosses y –axis.
Example 2.3.1.1
Find: m = ? and b = ? using the graph.
Solution:
The slope and y-intercept can be determined from the graph as follows:
1 2 3 4
1
2
3
4
0
0
y = 0.5 x + 1
x
y
b =
1
Run = 2
Rise = 1
m = Rise
Run= 1 / 2 = 0.5
Figure 2.3.1.2 Sample Linear Equation Graph
Another common form is called Two Point Form:
y – y1 = [(y2 –y1)/(x2 – x1)] (x –x1) (equation 2.4)
Or more commonly expressed as:
y = [(y2 –y1)/(x2 – x1)] (x –x1) + y1 (Modified two point form) (equation 2.5)
x1, y1 - coordinates that represent a point on a straight line,
x2, y2 - coordinates that represent a second point on a straight line.
x - the independent variable.
y - the dependent variable.
Example 2.3.1.2
Find: x1, y1, x2 and y2 using the graph.
Solution:
The slop and y-intercept can be determined from the graph as follows:
The values of x1, y1, x2 and y2 can be taken directly from a table or from a graph:
1 2 3 4
1
2
3
4
0
0
y = 0.5 x + 1
x
y
(X1, y1) = (2.0, 2.0)
(X2, y2) = (3.0, 2.5)
x y
0.0 1.0
1.0 1.5
2.0 2.0
3.0 2.5
4.0 3.0
Table
x1, = 2.0, y1 = 2.0, x2, = 3.0, y2 = 2.5
Figure 2.3.1.2 Sample, Finding Two Points on Graph or Using Table
The expression [(y2 –y1)/(x2 – x1)] is equivalent to the slope m, therefore:
m = [(y2 –y1)/(x2 – x1)] (equation 2.6)
y = m (x –x1) + y1 (equation 2.7)
2.3.2 Linear Interpolation Linear interpolation is a technique used to approximate the unknown value of a
dependent variable of a non-linear equation or curve given the value of an independent
variable. In order to use interpolation, two points on the non-linear curve must be known
on either side of the interpolated point. This method works because even though a non-
linear curve may have a slope that varies widely from one end of a curve to its other end,
on the average the slope of the non-linear curve will change little between two points on
the curve that are close together. A straight line that connects two points on a non-linear
curve is called a cord.
1 2 3 4
1
2
3
4
0
0
x
y
Known Points
Chord
Non-Linear
CurveApproximate
Value
True Value
(Not Actually Known)
Known
Value
Figure 2.3.2.1 Linear Interpolation
The equation for the cord, thus the interpolation equation is the same as the modified two
point form equation:
y = [(y2 –y1)/(x2 – x1)] (x –x1) + y1 = m (x –x1) + y1 (Modified two point form equation.)
Example 2.3.2.1
Given the table of square roots below, find the square root of 9.5:
x y
8.0000 2.8284
Table
9.0000 3.0000
10.0000 3.1623
11.0000 3.3166
0.0
1.0
2.0
3.0
4.0
5.0
0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0
Figure 2.3.2.2 Square Root Graph
The variable x is the independent variable and y is the dependent variable we are
estimating, in this case the y will be approximately the square root of x.
y = [(y2 –y1)/(x2 – x1)] (x –x1) + y1 = m (x –x1) + y1
Let x = 9.5000, x1 = 9.000, y1 = 3.0000, x2 = 10.0000 & y2 = 3.1623
m = [(y2 –y1)/(x2 – x1)] = [(3.1623 –3.0000)/(10.0000 – 9.00001)] = 0.1623
y = m (x –x1) + y1 = (0.1623) (x – 9.0000) + 3.0000
y = (0.1623) (9.500 – 9.0000) + 3.0000
y = 3.0812
The actual square root of 9.5 with 4 digits of accuracy is 3.0822. The difference
between the actual value and the estimate is called error and is calculated as
follows:
error = estimated value – true value = 3.1612 - 3.1622 = -0.0010
The error can also be expressed as a percentage of the true value:
%error = error / (true value) * 100% = -0.0010/ 3.1622 *100%
%error = -0.032%
Figure 2.3.2.3
Table of Square Roots
2.3.3 Linear Regression (Optional)
Linear regression is a mathematical procedure used to determine the equation of the best
fit line given a set of experimental data. Linear regression assumes a linear relationship
exists between an independent variable and its dependent variable. Linear regression is
useful when it is necessary to determine the unknown value of an independent variable
given the known value of an independent variable. The independent variable is known as
the predictor and the dependent variable is known as the target or response.
2.3.3.1 Linear Regression Equations - Least Squares Method Least squares method uses a particular set of equations that calculate the slope and
intercept of a best fit line. These equations work by reducing the least squares distances
between a set of data points on a scatter plot and the best fit line. Below are the least
square equations:
b = n
n Σ(xy) - Σx Σy
n Σ(x2) - (Σx)
2m =
(equation 2.8) (equation 2.9)
Σy – m Σx
m = slope
b = intercept
n = number of samples used
The values m and be are substistuted into the slope intercept form linear equation:
y = m x + b (equation 2.3):
Example 2.3.3.1.1 Least Squares Best Fit Equation Calculation
Use the data of column x and column y to find the parameters m and b for the best
fit line:
x y x y x2 y
2
0.00 1.19 0.00 0.00 1.41
0.50 1.37 0.69 0.25 1.88
1.00 1.26 1.26 1.00 1.59
1.50 1.73 2.60 2.25 2.99
2.00 2.25 4.50 4.00 5.05
2.50 2.17 5.41 6.25 4.69
3.00 2.29 6.86 9.00 5.23
3.50 2.92 10.23 12.25 8.55
4.00 3.14 12.56 16.00 9.85
N Σx Σy Σ(x y) Σ(x2) Σ(y
2)
9 18.00 18.31 44.10 51.00 41.25
M
0.498355
B
1.038165
Result: y = (0.4984) x + 1.0382
Best Fit Line
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50
X
Y
Figure 2.3.3.1.1.1 Scatter Plot of Source Data
2.4 Some Common Equations
2.4.1 Area Equations Area is the measure of the total amount surface of a figure (shape).
Square: A = a b = ℓ w (equation 2.10)
Area
a
b Area
ℓ
w
Circle: A = πr2 =πd
2/4 (equation 2.11)
r
d
Area
2.4.2 Volume Equations Volume is a measure of the total space that a three dimensional object occupies.
Cylinder: Rectangular Prism:
V = A h = πr2 d = πd
2 h / 4 (equation 2.12) V = A h = a b h (equation 2.13)
A
h
db
a
h
A
2.5 Unit Conversions
A system of measurement is a group of units that can be used to measure quantities such
as temperature, length volume, mass and many other quantities. There are several systems
of units that have developed over history. In modern times the Imperial, US, SI and
Metric systems are dominant. Unfortunately this means that from time to time it will be
necessary convert measured or calculated values from one unit to another.
2.5.1 Length Unit Conversions and Unit Analysis There are a large number of length units to choose from. A short list of length unit
equivalencies is listed in the table below:
Length Equivalencies
1 ft (1') = 12 inch (12")
1 inch (1") = 2.54 cm
1 m = 3.281 ft
1 m = 100 cm
1 m = 1000 mm
1 yard = 3 ft
Figure 2.5.1.1 Length Equivalencies
The expression 1 inch = 2.54 cm states that one inch is the same as 2.54 cm. This
expression can be converted to a fraction that is used as a conversion factor between
inches and cm or to a factor to convert cm to inches:
example 2.5.1.1
inches to cm: 1 inch = 2.54 => (2.54cm/1inch) = 2.54 inch/cm
cm to inches: 1 inch = 2.54 => (1 inch/2.54cm) = 0.392701 cm/inch
When it is necessary to convert a length measured in inches to its equivalent length in cm,
the length needs be multiply by the appropriate conversion factor.
example 2.5.1.2
Convert 4.5 inches to x = ?cm
x = (4.5 inches)(2.54 cm/inch) = 11.43 cm.
Note that after the conversion calculation above that inches are eliminated (cancelled out)
from the result, this leaves only cm as the final unit. The process that examines which
units are left and which are eliminated to verify the correctness of a conversion is called
unit analysis.
example 2.5.1.3
Convert 6.0 cm to x = ? inches
x = (6.0 cm)(0.392701 inches/cm) = 2.3562 inches
At times it is necessary to use more than one conversion factor. If a direct conversion
factor between two units is unknown, then it is necessary two use two separate factors
that share a common unit.
example 2.5.1.4
Given:
cm to inches: 1 inch = 2.54 => (1 inch/2.54cm) = 0.392701 cm/inch
inches to ft: 1 ft = 12 inches => (1 ft/12 inches) = 0.083333 ft/inch
Convert 5.0 cm to x = ? ft
x = (6.0 cm)(0.392701 inches/cm)( 0.083333 ft/inch) = 0.196351 ft
All units except for ft are eliminated; this verifies that the correct conversion
factors were chosen.
2.5.2 Area Unit Conversions Conversions between units of area are calculated the same way as conversions between
length units. Below is a sort table of area equivalencies:
Area Conversion
1 sq. ft (1 ft2) = 929 sq. cm (929 cm2)
1 sq. yd = 9 sq. ft (9 ft2)
1 sq. inch = 6.452 sq. cm (6.452 cm2)
1 sq. m (1 m2) = 10.76 sq. ft (10.76 ft2)
1 sq. m (1 m2) = 1550 sq. inch (1550 inch2)
1 sq. m (1 m2) = 10,000 sq. cm (10,000 cm2)
Figure 2.5.2.1 Area Unit Equivalencies
Converting area unit equivalencies to area unit conversion factors is the same procedure
as is used for length unit conversions factors:
Example 2.5.2.1 Convert sq. yd to ft
2: 1 sq. yd = 9 ft
2 => (1 sq. yd / 9 ft
2) = 0.111111 sq. yd / ft
2
Convert ft2 to sq. yd: 1 sq. yd = 9 ft
2 => (9 ft
2 / 1 sq. yd) = 9.0 ft
2 / sq. yd
Note that the prefix sq. placed in front of a unit is the same as saying that unit squared.
The prefix sq. is used when it is not possible to use a supper script 2 following a unit
(unit2).
example 2.5.2.2
Convert 3 ft2 to x = ? sq. yd
x = (3 ft2)(0.111111 sq. yd/ft2) = 0.333333 sq. yd.
example 2.5.2.3
Convert 5 sq. yd to x = ? ft2
x = (5 sq. yd) (9 ft2
/ 1 sq. yd) = 45 ft2
Sometimes more than one conversion factor is needed for area unit conversion
calculations if a single conversion factor between two units is unknown (just like with
length unit conversion).
example 2.5.2.4
Convert 2 sq. yd to x = ? sq. inch
1 ft2 = (12 inch)(12 inch) = 144 sq. inch => (144 sq. inch/1 ft2) = 144 sq. inch/ft2
X = (2 sq. yd)(9 ft2
/ 1 sq. yd)( 144 sq. inch/ft2) = 2592 sq. inch
If a conversion factor between area units is required which is unknown, it can be derived
squaring the related length conversion factor such as in the example below.
example 2.5.2.5
Given: 1ft = 12 inch
Find: 1ft2 = ? inch
2
(1ft) (1ft) = (12 inch) (12 inch)
1ft2 = 144 inch
2
2.5.3 Volume Unit Conversions The procedure to convert between units of volume is the same as for converting length or
area units, however, keep in mind that the conversion factors values are not the same:
Volume Conversion
1 cu. Ft (1 ft3) = 28,320 cu. cm (cm3)
1 cu. Ft (1 ft3) = 1,728 cu. inch (inch3)
1 cu. Yd = 27 cu. ft (27 ft3)
1 cu. M (1 m3) = 1,000,000 cu. cm (cm3)
1 cu. M (1 m3) = 1.308 cu. Yd ( Yd3)
1 cu. M (1 m3) = 1000 L
1 L = 1000 mL
1 L = 1000 cm3
1 mL = 1 cm3
1 gallon = 3.785 L
Figure 2.5.3.1 Volume Unit Equivalencies
Converting area unit equivalencies to area unit conversion factors is the same procedure
as is used for length unit conversions factors:
example 2.5.3.1
Convert mL to L: 1000 mL = 1 L => (1000 mL / 1 L) = 1000 mL / L
Convert L to mL: 1000 mL = 1 L => (1L / 1000 L) = 0.001 L / mL
example 2.5.3.2
Convert 15 cu. Yd to cu. ft.
1 cu. Yd = 27 cu. ft => (27 cu. ft / 1 cu. Yd) = 27 cu. ft / cu. Yd
X = (15 cu. Yd) (27 cu. ft / cu. Yd) = 404 cu. ft / cu. Yd
If a conversion factor between different volume units is required which is unknown, it
can be derived cubing the related length conversion factor such as in the example below.
example 2.5.3.3
Convert 100 cu. inch to ft3, given 1 ft = 12 inch.
(1 ft) (1 ft) (1 ft) = (12 inch) (12 inch) (12 inch) => 1 ft3 = 1728 inch
3
(1 ft3 / 1728 inch
3) = 0.00057870 ft
3 / inch
3
X = (100 cu. inch) (0.00057870 ft3 / inch
3) = 0.057870 ft
3
2.5.4 Mass Unit Conversions
The procedure to convert between units of mass is the same as for converting length, area
and volume units. A few mass unit equivalencies are listed below:
Mass Conversion
1 kg = 1000 g
1 kg = 2.2046 lb
1 long ton = 2240 lb
1 short ton = 2000 lb
Figure 2.5.4.1 Volume Unit Equivalencies
A few examples of mass conversions are given below.
example 2.5.4.1
Convert 25 g to Kg, given 1kg = 1000g
1kg = 1000g => (1kg / 1000g) = 0.001 kg / g
X = (25 g) (= 0.001 kg / g) = 0.025 kg
example 2.5.4.1
Convert 2.0 short ton to long ton,
Given: 1 short ton = 2000 lb and 1 long ton = 2240 lb
1 short ton = 2000 lb => (2000 lb / 1 short ton) = 2000 lb / short ton
1 long ton = 2240 lb => (1 long ton / 2240 lb) = 0.000446429 long ton / lb.
X = (2.0 short ton) (2000 lb / short ton) (0.000446429 long ton / lb)
X = 1.7857 long ton
2.5.5 Temperature Unit Conversions Temperature is commonly experienced as the hotness or coldness of a substance or an
environment. The actual numerical value of a temperature measurement taken using an
instrument such as a thermometer is a measure of the average kinetic energy of the
particles that make up a substance. The four main units of temperature are listed below:
°C - Celsius
K - Kelvin
°F - Fahrenheit
°R or Ra - Rankine scale
Conversion between temperature units required more effort than simply multiplying by a
conversion factor. Fortunately the units above have simple linear relationships between
them. The most common conversion equations used for temperature unit conversions are
listed below.
K = 273.15 + C C = K – 273.15
C = (F-32) * (5/9) F = C * (9/5) + 32
R = F +459.67 F =R - 459.67
3.0 Test Instruments Used with Process Control Instrumentation This section describes several test instruments used in this class. This is a brief
introduction, for a detailed description of these devices and their operation see the
operating manual for these devices and the lab instructions.
3.1 Pressure Calibrators
Figure 3.1.1 Pressure Calibrator
A pressure calibrator is a device that measures the differential pressure between two
pressure sources with a high degree of accuracy. Typically, the pressure value displayed
by a pressure calibrator is compared to the indicated pressure a second pressure
measuring device to verify the second devices accuracy. When using the pressure
calibrator as a reference for pressure measurements comparison it is referred to as a
reference or standard.
Pressure Calibrator
H L
Pressure
Measuring
Device
(Reference, Standard)(Device Under Test)
Pressure
Source(ex, tank)
Pressure
Regulator
Figure 3.1.2
3.1 Pressure Calibrators (continued) A pressure calibrator has two ports, the port labelled H is called the high side port and
port labelled L is called the low side port. Typically the high side port is connected to the
pressure source to be measured while the low side port is connected to a reference
pressure source. If atmospheric pressure is to be used as a reference then the low side
port is left open to the atmosphere, this is known as a gage pressure measurement.
Measured
Pressure
Source
Pressure
Calibrator
Reference
Pressure
Source
H L
Measured
Pressure
Source
Pressure
Calibrator
H L
Figure 3.1.3 Differential Pressure Figure 3.1.4 Gage Pressure
3.2 Temperature Calibrators
Figure 3.2.1 Temperature Calibrators
A temperature calibrator is a device used to produce (to source) an electrical signal that
simulates the output signal of a temperature sensor. A temperature calibrator is often
called a reference or a standard because of the high accuracy of its output signal. A
temperature calibrator is typically used when calibrating a device called a temperature
transmitter. A temperature transmitter is used to convert the non standard electronic
signal to a standard 4-20mA signal or 3-15 psi signal. If you want to simulate a sensor
that is immersed in an environment that has temperature of 35°C, then press 35°C into the
calibrators keyboard and an electrical signal will appear at the calibrators output that
corresponds to 35°C.
TT+
-
+
-24 VDC
TI
+ -
Temperature Transmitter
Temperature Indicator
Temp.
Sensor
Remove
Temperature
CalibratorAdd
Figure 3.2.2 Temperature Calibrator Simulating Sensor Output
3.2 Temperature Calibrators (continued) A temperature calibrator can also be used to receive output signal from a temperature
sensor and convert this signal to a temperature reading on its display.
Indicates temperature of
sensors environment.
Temperature
Calibrator
Temp.
Sensor
Measures temperature of
environment.
Figure 3.2.3 Temperature Calibrator Used to Display Temperature of Sensor
Often the sensor is placed in a an environment which has a known temperature such as
ice water (0°C) or boiling water at atmospheric temperature (100°C) in order to verify the
correct accuracy of a sensor.
Indicates temperature of
sensors environment.
Temperature
Calibrator
Temp.
Sensor
Ice water
(0 °C)
Indicates temperature of
sensors environment.
Temperature
Calibrator
Temp.
Sensor
Boiling Water
(100 °C)
Heater
Figure 3.2.4 Using Boiling Water Figure 3.2.5 Using Ice Water
as a Temperature Reference as a Temperature Reference
3.3 Current Calibrator
Figure 3.3.1 Current Calibrator
A current calibrator is a device used to provide an accurate source of current ranging
between 0mA and 20 mA to simulate output signal from an instrument. A current
calibrator allows its operator to see the effect that a 4-20 mA signal has on an instrument
receiving a 4-20mA signal (such as a temperature indicator) on the test bench or in the
field without actually having it connected to a transmitters output. This gives the
operator the advantage of controlling the current directly at will rather than having to
attempt to control the current indirectly through the sensor.
+
-
`24 VDC
TI
+ -Temperature
Transmitter
Temperature Indicator
Temp.
SensorTT
+
-
Current
Calibrator
+-
+
-
Figure 3.3.2 Current Calibrator Used as a Current Source
3.3 Current Calibrator (continue) A current calibrator can also be used to accurately measure the 4 – 20mA output signal
generated by an instrument, controller or other signal source.
Current
Calibrator
+
-
+
-
Instrument with
4-20 mA Current
Output Signal
+
-
3.3.3 Current Calibrator Used to Measure an Instruments Output Signal
Many modern currents calibrator also are able to measure and source 0-10 V signals as
well as current signals. This is because 0-10V signals are commonly found in industry.
Since the current calibrators used in this class are used for teaching purposes, an inline
fuse has been added to the current calibrator cord to protect it from overload and short
circuit damage. Always replace the fuse with a 1/8 amp slow blow fuse. A picture of
the cord is shown below:
3.3.4 Current Calibrator Used to Measure an Instruments Output Signal
4.0 Some Science Background and Review Most of the process control instrumentation used today seems quite modern, sleek and
sophisticated; however, many of the principals of operation have been well understood
and used in practice since ancient times. This section covers the theory necsisary to
understand the operation of the process control instrumentation studied in this class.
4.1 Some Definitions
4.1.1 Matter
Matter can be described as the stuff or material that solid, liquids and gasses are made of.
All things that exist that we can touch or feel (water, rocks, the wind, oil,…) are made of
matter. Matter is some times called the “stuff of the universe”. A few examples of things
that may be considered to exist but are not made of matter include energy, ideas, the
mind, corporate entities and friendship.
4.1.2 Mass Mass is a measure of the amount of “stuff” or matter that a thing (object) or substance
has. The amount of mass is not change as an object is deformed and it is not changed
when it is pushed or acted on in any way (heated, kicked, dropped, yelled at,…). Some
units of mass have already been covered in section 2.5.4.
4.1.3 Energy Energy is a measure the ability to do work. The more energy available, the more work
can be done. A couple of common units for measuring energy include Jouls (J) and Btu.
1 Btu(60°F) = 1054.68 J
4.1.4 Power Power is the rate at which energy is consumed or equivalently the rate at which work is
done. A few common units of power are watts (W), horse power (hp) and Btu/h.
4.1.5 Force A force can be considered to be an influence that tends to cause an object to accelerate or
decelerate. A force is commonly experienced as a push or a pull. A few units of force
include Newtons (N), pound-force (lb-f) and kilograms-force (kg-f).
4.1.6 Weight Weight is the force acting on an object due to gravity. The term weight is often
mistakenly used synonymously with the term mass. When weighing an object at the
surface of the Earth the numerical value of the mass of an object is the same as the
numerical value of its weight. If an object was placed on another planet or on the moon
its weight would change but its mass stays the same. Note that even though kg-f and lb-f
are used as units of force, it is still more conventional to write units of weight (force due
to gravity) simply as kg and lb.
4.1.7 Solid A solid is a material that holds its own shape, resists changes in shape and resists changes
in volume (compression). A solid will not flow to assume the shape of its container.
4.1.8 Fluid A fluid is a substance that will flow to conform to the shape of its container. Two
examples of fluids are liquids and gasses.
4.1.9 Liquid A liquid is a fluid that resists changes in volume (fluids are not comprisable). Liquids
tend to have densities similar to solids.
4.1.10 Gasses A gas is a fluid that is compressible. A gas will tend to expand in all directions to fill a
vessel that contains it (and conform to its shape). Gasses have densities many times
lower than liquids because they have many times more average distance between their
particles.
4.1.11 Vessel A vessel is an object used as a container. Vessels are used in industrials setting may
contain liquid and or solids used for applications that include but are not limited to
storage blending/mixing, dissolving, separating, cooking, separation, reaction and
polymerization.
4.1.11.1 Closed Vessel A closed vessel is a vessel that prevents its contents from escaping because it is sealed
from its environment. The contents of a closed vessel may be at the same pressure as the
surrounding environment or the contents may be at a higher or lower pressure with
respect to the surroundings.
4.1.11.2 Open Vessel An open vessel is a vessel that is not sealed from its environment. The only thing that
holds the contents inside an open vessel is the force of gravity. The contents of a closed
vessel are at the same pressure as the surroundings at the contents surface. The only
pressure experienced by the contents of an open vessel is the pressure due to atmospheric
pressure and the pressure due to gravity (hydrostatic pressure).
4.2 Force of Gravity The force of gravity is an effect that is commonly experienced as a force pushing an
object toward the ground (the surface of the Earth). The same gravitational effect can be
observed when an object is placed near any massive body such as the moon or the sun.
Fg
Surface of Earth
object
Figure 4.2.1 Force Acting On an Object near Earths Surface.
The arrow and letters Fg signify the direction of force due to the
Earths gravity acting on an object.
The effect which is referred to as gravitational force, force of gravity or gravitational
attraction occurs because every object in the universe is attracted to every other object in
the universe. Gravitational forces are in fact the reason that the moon is attracted to the
Earth and the Earth is attracted to the sun.
Equation 4.1Sun
Fg Fg Earth
Fg = G m1 m2
r2
Figure 4.2.2 Gravitational Forces Between the Sun, Earth and moon.
The arrows and letters Fg indicate the direction of gravitational forces
acting between these bodies.
Equation 4.1 is known as the universal gravitation equation and is used to determine the
magnitude of the gravitational force attracting two bodies toward each other. The
variables m1 and m2 are the masses of each body, r is the distance between the bodies and
G is the universal gravity constant.
4.2 Force of Gravity (continued) The force of gravity acting on an object at the surface of a large body (such as Earth or
the moon) in can be calculated using the abbreviated version of equation 4.1 shown
below:
Fg = m go (equation 4.2)
In the above equation:
Fg - force of gravity
m - mass of the object
go - constant known as standard gravity
Equation 4.2 assumes that the value of go = G m2/ r2 is relatively constant as long as the
object is stays near the surface.
The value of g0 depends on which planet, sun or moon surface the object is near. If an
object is near the surface of the Earth, then g0 = 9.807 N/kg and is commonly expressed
as ge = 9.807 N/kg. If an object is near the surface of the moon, then g0 = 1.622 N/kg and
is commonly expressed as gm = 1.622 N/kg.
When using metric units, equation 4.2 assumes Newtons (N) as a unit of force and kg as
its mass unit.
example 4.2.1
Given a box with a mass of 10 kg, find the force of gravity acting the box near the
surface of the moon.
moon
10 kg
Fg = ?
Figure 4.2.1
Fg = m go = m gm = (10 kg)( 1.635 N/kg) = 16.35 N
example 4.2.2
Given a TV with a mass of 10 kg, find the force of gravity acting on the TV near
the surface of the Earth.
Earth
10 kg
Fg = ?
Figure 4.2.2
Fg = m go = m gm = (10 kg)(9.807 N / kg) = 98.07 N
Since the term weight is synonymous with the term force of gravity, equation 4.1 is also
expressed as:
W = m go (equation 4.3)
In the above equation:
W - weight (force of gravity)
m - mass of the object
go - constant known as standard gravity
Again, it is more colloquial to express weight in kg or lb, but it is still useful to use kg-f
and lb-f when the distinction between mass and weight might be unclear in a calculation
(particularly while learning about the subject).
example 4.2.3
Given a box with a mass of 5 lb, find the force of gravity acting the box near the
surface of the moon (gm = 1.635 N/kg = 1/6 lb-f/lb).
W = m go = m gm = (5 lb)( 1/6 lb-f / lb) = 0.8333 lb (lb-f)
example 4.2.4
Given a box with a mass of 5 lb, find the force of gravity acting the box near the
surface of the Earth (ge = 1.635 N/kg = 1.000 lb-f/lb)
W = m go = m ge = (5 lb)( 1.000 lb-f / lb) = 5 lb (lb-f)
4.3 Density
Most things in the universe that have mass also occupy space (except for black holes,
black holes will not be discussed further). Density is a measure of a substances mass per
unit volume. The more mass that is squeezed into the same volume, the more dense the
substance is. The symbol ρ (greek letter rho) is used to represent density in equations.
Density is calculated using the following equation:
ρ = m / V (equation 4.4)
In the equation above:
ρ - is density
m - is mass
V - is volume
example 4.3.1
Given a volume of 1.3 L of water with a weight 1.3 kg, calculate the density of
water.
1.3 L
Water
1.3 kg
Weight Scale
Figure 4.3.1
ρwater = m / V = 1.3 kg / 1.3 L = 1.0 kg/L = 1.0 g / mL
The units for density are derived units that reflect the mass and volume units used in the
density calculations. A few useful density unit equivalencies are listed below:
1 g/cm3 = 0.036127292 lb / in3
1 g/cm3 = 1 g / mL
1 g/cm3 = 1 kg/L
Figure 4.3.2 Density Unit Equivalencies
4.3 Density (continued)
example 4.3.2
Given that the cylinder below filled completely filled with water and the
density of water ρwater = 1 g/cm3 = 0.0361 lb / in3 = 1 g / mL, calculate the
mass of the water contained inside the cylinder.
10 in2
10
in
Water
Figure 4.3.2
(1) ρwater = m / V
(2) V = A h
(3) m = ρwater V from (1)
(4) m = ρwater A h plug (2) into (3)
(5) m = (0.036127 lb / in3) (10 in2) (10 in)
(6) m = 3.6127 lb
4.4 Relative Density and Specific Gravity Relative density is the ratio between the density of a specific material and the density of a
second material which is used as a reference. Relative density is typically represented
symbolical as RD in the relative density equation:
RD = ρsubstance / ρreference (equation 4.5)
Specific gravity is also the ratio between the density of a specific material and the density
of a second reference material, however, the reference is always pure water at 4°C and 1
atm. Each material has a specific gravity that is particular to that material, i.e. corn oil
(SG = 0.923) has a different specific gravity than 5W-30 motor oil (SG = 0.860). SG is
typically used as the symbol for standard gravity in the standard gravity equation:
SG = ρsubstance / ρwater (equation 4.6)
Since relative density and specific gravity are both ratios of like dimensions (same units),
relative density and specific gravity is dimensionless (without units) because the density
units cancel out in the equation 4.5 and equation 4.6.
4.4 Relative Density and Specific Gravity (continued) Since specific gravity is a dimensionless ratio of densities, specific gravity can be used to
calculate the density of a material in any unit of density through equation equation 4.5.
example 4.4.1
Given equation 4.6, the specific gravity of 5W-30 motor oil (SG5W-30 = 0.860) and
the density of water is known to be ρwater = 1.0 g/cm = 62.4 lb/ft3 = 8.34 lb/gallon,
calculate the density of 5W-30 in units of g/cm3, lb/ft
3 and lb/gallon.
(1) SG = ρsubstance / ρwater
(2) ρwater * SG = ρwater * ρsubstance / ρwater
(3) ρsubstance = SG ρwater
ρ5W-30 = SG 5W-30 ρwater
ρ5W-30 = (0.860) (1.0 g/cm) = (0.860) (62.4 lb/ft3) = (0.860) (8.34 lb/gallon)
ρ5W-30 = 0.860 g/cm = 56.2 lb/ft3 = 7.17 lb/gallon
4.5 Pressure Pressure is the force per unit area exerted on a surface. In this class pressure is typically
the result of force per unit area exerted on a surface by a fluid.
F
FF
F
F
F
F
F
F
Inner TubePSI
Pressure
Gauge
F
Figure 4.5.1 Cross section of an inner tube illustrating that air pressure inside
the tube caused a force a force be applied against its inner surface.
Whenever a fluid is “squeezed” it pushes back against the surface that contains it
resulting in an increased pressure. The equation that relates pressure, forces and area of
the surface that contains it is:
P = F / A (equation 4.7)
Where
P – is pressure,
F – is force
A – is area
4.5 Pressure (continued)
Pressure is a derived unit. Equation 4.6 can be used to calculate the pressure that results
when a force is applied to the bicycle tire pump handle or to the plunger of a syringe:
Example 4.5.1
Given the syringe shown below, calculate the pressure that results from pressing
its plunger with a force of F =4.0 lb-f.
A
Pressure
Gauge
F
A = 2 in2 Gas or Liquid
Figure 4.5.1 Pressure produced by a syringe due to force applied to its plunger.
P = F / A = 4.0 lb-f / 2 in2 = 2.0 lb/in
2 = 2.0 psi (2.0 pounds per square inch)
Example 4.5.2
Given the information available form the diagram below, calculate the force
exerted by the piston of the cylinder in the upward direction.
Weight
Pressure
GaugeA = 10cm
2
P =10 kPa
Figure 4.5.2 Produced by a Hydraulic Cylinder
First convert area and pressure to units that will make our calculations easier.
A = 10 cm2 = 0.0010 m
2, P = 10 kPa = 10,000 Pa = 10,000 N/ m
2
P = F / A => F = P A = (0.0010 m2) (10,000 N/ m
2)
F = 10.0 N
4.5.1 Hydrostatic Pressure Hydrostatic pressure is defined as the pressure at a point in a liquid due to gravity.
Pressure has been defined as force per unit area. It follows that hydrostatic
pressure can be defined as the force due to gravity acting on a column of liquid
divided by that liquid columns cross-sectional area. The derivation for an
equation to calculate hydrostatic pressure is given below.
A
Column of
Liquid
h
Figure 4.5.1.1
Given:
(1) m = ρliquid V
(2) V =A h
(3) P = F/A
(4) F = mgo
(5) m = ρliquid A h Plug (2) into (1).
(6) F = ρliquid A h go Then plug (5) into (4).
(7) P = F/A = (ρliquid A h go)/ (A) Then plug (6) into (3).
Notice that area is eliminated in (7), therefore
(8) Phydrostatic = ρliquid go h (equation 4.8)
Note that the equation 4.8 is not limited to finding hydrostatic pressure for
rectangular liquid columns. Equation 4.8 will work for any column with any
shape as its base. It is possible to prove that equation 4.8 will work even for
vessels that do not have a constant cross-sectional area, but this proof is beyond
the scope of this program. In a hydrostatic system, the datum is a vertical
reference point from which a level and/or pressure is measured.
h
DatumPressure
Gauge
Figure 4.6.1 The Datum of a Pressure Gauge Used to
Measure Hydrostatic Pressure
4.5.1 Hydrostatic Pressure (continued)
Example 4.5.1.1
Given the information presented in the diagram below and ρwater =
1.0g/cm3 = 0.0361 lb /in
3, find the pressure at the datum in psi (lb/in2).
h =
25
in
ch
P=?
Figure 4.5.1.1 Hydrostatic Pressure Due to Gravity Acting On Water
Phydrostatic = ρliquid go h = (0.0361 lb /in3) (1.000 lb-f/lb)(25in)
Phydrostatic = 0.9025 lb/in2
Example 4.5.1.2
Given the information presented in the diagram below and ρwater =
1.0g/cm3 = 0.0361 lb /in
3, find height of the waters surface above the datum
in cm.
h = ? cm
P=2 kPa
Water
Figure 4.5.1.2 Hydrostatic Pressure Due to Gravity Acting On Water
Phydrostatic = ρliquid go h => h = Phydrostatic / (ρliquid go)
h = Phydrostatic / (ρliquid go) = 2kPa / (1.0g/cm3*9.8N/kg)
h = (2000 N/m2 ) / (1000 kg/ m
3*9.8N/kg)
h = 19.6m = 1960 cm
4.5.2 Absolute Pressure, Gage Pressure and Differential Pressure
4.5.2.1 Absolute Pressure Absolute pressure is a pressure measurement with reference to a vacuum. For example, if
an astronaut were to use a pressure gauge to measure the pressure of an O2 tank using the
vacuum of space as a reference; this would be an absolute pressure measurement.
PI
Pressure
Indicator O2
Tank
Astronaut
Star
Figure 4.5.2.1.1 Absolute Pressure
In order to indicate that a pressure measurements is an absolute pressure measurement the
letter „a‟ is often added to the end of the unit such, as psia in place of psi.
4.5.2.1.1 Atmospheric Pressure (Absolute Pressure of the Atmosphere) When measuring the absolute pressure of the atmosphere with reference to a vacuum the
measurement is referred to as the atmospheric pressure. On the average the pressure of
the atmosphere is 14.7 psi = 1101,325 Pa = 1atm. Atmospheric pressure pressures
typically measured using an instrument known as a barometer.
PI
Vacuum
Atmosphere
Mercury
Vacuum
Figure 4.5.2.1.1.1 A Barometer and its Equivalent Pressure Indicator in a Vacuum (using
the Vacuum as a Reference)
4.5.2.2 Gage Pressure Gauge pressure is the difference between an absolute pressure measurement and the
pressure of the atmosphere, where the atmospheric pressure is the reference. The letter
„g‟ is typically added to a pressure unit to indicate that is a gage pressure measurement,
such as psig for psi. An example of an atmospheric pressure measurement is a tire
pressure measurement. If the absolute pressure inside a tire is 44.7 psia, and the
atmospheric pressure is 14.7psia, then the gauge pressure is 44.7psia - 14.7psia = 30 psig.
Inner Tube
P =
30 psig
Pressure
Gauge
P = 44.7psia
P = 14.7psia
(Atmosphere)
Figure 4.5.2.2.1 Gage Pressure
4.5.2.3 Differential Pressure Differential pressure is the simply the pressure difference measured between two pressure
sources as is illustrated below:
ΔP =
2 psid
H L
PH = 7 psig PL = 5 psig
Tank Tank
Figure 4.5.2.3.1 Differential Pressure
Differential pressure is typically measured using a two port instrument with ports labelled
H (or +) for high side and L (or -) for low side. The differential pressure measured and/or
indicated by such a device is expressed as:
ΔP = PH – PL (equation 4.9)
4.5.3 Inches of Water Column, inH2O (Pressure) Inches of water column is a unit of pressure. The inches of water column unit is
normally written as inH2O. The „2‟ in is not written as a subscript, this probably goes
back to the days so it could be easily typed using a manual typewriter. In short, 1 inH2O
is equal to the amount of hydrostatic pressure produced by a 1 in high column of water
(on Earth only):
h = 1in
P =
1 inH2O
Water
Figure 4.5.3 1 in of water column height producers 1inH20
inH2O can be used as a unit for liquid or gas pressure measurements, but it was made
popular due to a differential pressure measurements device called a manometer which is a
liquid column gauge used to measure air pressure using a U shaped tube.
3 in
Air Tank
P = 3 inH2O
Manometer
Water
Figure 4.5.3 2 in of water column height producers 1inH20
Inches water column is a relatively sensitive scale compared to psi as can be seen by the
equivalency below:
1 psi = 27.68 inH2O
4.5.4 Hydrostatic Pressure and Closed Vessels Pressure measured at the bottom of an open vessel containing a liquid is due entirely to
the force of gravity acting on the liquid inside the container (hydrostatic pressure). In a
closed vessel the total pressure at the bottom of the tank is due to the hydrostatic pressure
plus the pressure of the gas or vapour filling space between the surface of the liquid and
the top of the closed vessel.
Ptotal =PHydrostatic + PGas (equation 4.10)
example 4.5.4.1
Verify that the pressure gauge in Figure 4.5.4.1 is correct by calculate the total
hydrostatic pressure expected at the indicate datum of the pressure gauge.
Datum
Water
Gas, Vapor
3 inH2O
4 in
Water
Wet Leg
7 inH2O
Figure 4.5.4.1
Ptotal =PHydrostatic + PGas
Ptotal = 4inH2O + 3inH2O
Ptotal = 7inH2O
4.5.4 Hydrostatic Pressure and Closed Vessels (continued)
If a differential pressure gauge were used to measure the difference between
the datum of the tank (and gauge) and gas/vapour pressure of the gas above
the liquid in the vessel, the result would be a measurement of the hydrostatic
pressure only:
example 4.5.4.2
Verify that the differential pressure gauge in Figure 4.5.4.2 is correct by calculate
the total hydrostatic pressure expected at the indicate datum of the pressure gauge.
Datum
Water
Gas, Vapor
3 inH2O
4 in
Water
Wet Leg
4 inH2O
Ga
s, V
ap
or
H
L
Dry Leg
Figure 4.5.4.2
PH = PHydrostatic + PGas
PH = 4inH2O + 3inH2O
PH = 7inH2O
PL = PGas
PL = 3inH2O
ΔP = PH – PL = (PHydrostatic + PGas) – (PGas) = PHydrostatic
ΔP = (4inH2O + 3inH2O) – (3inH2O)
ΔP = 4inH2O
4.6 Archimedes Principal Archimedes Principal states that when an object is partially or completely immersed in a
fluid it is buoyed (floated, forced) upward by a force equal to the weight of the liquid it
displaces. In more simple words, when a an object is immersed in a liquid it will appear
to loose weight, the amount of weight loss is equal to the weight of the liquid pushed out
of the way by the object.
liquid
V = A h
A
h
Weight
Scale
Sample
Material
example 4.6.1
The volume of the water displaced by the object is equal to the volume of the immersed
object, therefore:
V = Vdisplaced-liquid = Vobject
According to Archimedes the weight loss of the object is equal to the weight of the
displaced liquid, therefore:
Wweight-loss = Wdisplaced-liquid = m go = V ρliquid go (because m = V ρliquid)
It follows that the weight of the immersed object becomes the initial dry mass of the
object minus the weight of the immersed liquid:
Wimmersed = Wdry-object – Wweight-loss = Wdry-object - V ρliquid go (equation 4.11)
4.6 Archimedes Principal (continued)
example 4.6.1
Given a sample of metal with a volume of V =2cm3 that has a weight of Wdry-object
= 15.0 g before immersion in water, calculate the weight of the sample after it is
immersed in water:
liquid
V = A h
A
h
Weight
Scale
Sample
Material
example 4.6.2
Solution:
The volume of the water displaced by the object is equal to the volume of the
immersed object, therefore:
V = Vdisplaced-liquid = Vobject = 2cm3
Wimmersed = Wdry-object – Wweight-loss = Wdry-object - V ρliquid go
Wimmersed = 15.0 g – (2cm3)(1g/cm
3)(1g-weight/g-mass)
Wimmersed = 13.0 g
Archimedes principal can also be used to determine the standard gravity and the density
of an object immersed in a liquid if the liquid is water and the object dry weight and
immersed weight are measured:
SG = Wdry-object / (Wdry-object - Wimmersed) (equation 4.12)
Proof:
Let (Wdry-object - Wimmersed) = Wweight-loss = Wdisplaced-water
SG = Wdry-object / Wdisplaced-water
SG = (V ρobject go)/(V ρwater go) (because V = Vdisplaced-water = Vobject)
SG = (V ρobject go)/(V ρwater go)
SG = ρobject / ρwater
4.6 Archimedes Principal (continued)
example 4.6.2
Given the object in example 4.6.1, find the standard gravity and the density of the
object:
SG = Wdry-object / (Wdry-object - Wimmersed) = 15.0g / (15.0g – 13.0g)
SG= 7.5
SG = ρobject / ρwater => ρobject = SG ρwater = (7.5)(1.0g/mL)
ρobject = 7.5 g/mL
5.0 Basic Process Instrumentation Concepts and Terminology This section will introduce the basic concepts and terminology required to understand and
communicate concepts regarding process instrumentation.
5.1 Process Variables and Process Instruments Process variables are the variables that have an effect on a product as it is manufactured.
There are many process variables that can affect manufacturing processes, however the
process variables that this course will focus on are:
- pressure of liquids and gasses.
- level (height, volume) of liquids and solids
- temperature.
- flow of liquids and gasses.
These four variables will be the focus of the course because they are the most commonly
measured and controlled process variables during the manufacturing process. A few
industries where these variables affect manufacturing processes are pulp and paper, food,
petrochemical and pharmaceutical manufacturing. In the field of process instrumentation
it is common to represent a process variable with the letters PV and sometimes as %PV.
5.2 Process Instrumentation Process instrumentation is the name given to equipment used measure, transmit, indicate,
record and control the values of process variables. Process instrumentation is generally
divided into the following categories:
-Elements / Sensors, devices that measure process variables.
-Transmitters that converts measurements from elements to standard signals.
-Indicators indicators to display the value of process variables.
-Recorders to records process variables over time on paper or electronically.
-Controllers used to keep a controlled process variable at its desired value.
5.3 P&IDs
The relationship between process instrumentation and the manufacturing equipment is
documented using process instrumentation diagrams, also referred to as P&ID diagrams
for short. In P&IDs instruments are generally represented as a circle with an acromym
typed in its center, a few of these acronyms are listed below:
FE – Flow Element, FT – Flow Transmitter, FI – Flow Indicator,
FR-Flow Recorder, FC-Flow Controller
TE – Temperature Element, TT – Temperature Transmitter, TI –
Temperature Indicator, TR- Temperature Recorder, TC- Temperature
Controller
PT – Pressure Transmitter, PI – Pressure Indicator, PR- Pressure Recorder,
PC-Pressure Controller
LT – Level Transmitter, LI – Level Indicator, LR- Level Recorder, LC-
Level Controller
Below is a sample P&ID showing the relationship between a heat exchanger and its
related instruments:
H L
FT
TIC
FE
Steam
Source
FIRTT
TE PI
Product In
Return
Product Out
Figure 5.1, Heat Exchanger and Related Instruments
5.4 Standard Signals (The Short Story) Standard process instrumentation signals are used to transmit (send) the values of process
variables from one instrument to another, just as USB is used to send documents and
images from a computer to a printer. Standard signals are used to represent value of
process variables in a way that is common to most process instruments, even if they are
built by different manufacturers. The two most common standard signals are 4-20mA
and 3-15 psi signals. In P&IDs electronic signals such as 4-20mA signals are represented
a dashed lines and pneumatic signals such as 3-15 psi signal are represented as solid lines
with double hash marks (see heat exchanger drawing above).
5.5 ZERO, Upper Limit and SPAN Every measuring device has an upper limit and lower limit to its measurement range.
The maximum possible measurement (or signal) value is referred to as the Upper Limit
(U) and the lowest possible measurement value is referred to as the ZERO of the
measurement range. The SPAN is defined as the difference between the upper limit and
the lower limit (SPAN = U – ZERO). ex. Given a thermometer with an upper limit of 120C° and a lower limit of -60C°,
find U, ZERO and SPAN, then plot them on a number line:
-60 C° 60 C°30 C° 90 C°0 C°-30 C° 120 C°-90 C° 120 C°
SPAN = U – ZERO = 120 C° - (- 60 C°) = 180 C°
ZERO = -60 C° U = 120 C°
Figure 5.2, SPAN, ZERO and Upper Limit
5.6 Percent (%) Value of a Process Variable Process variable measurements are typically represented using engineering units. For
example, temperature is often measured in C° or F°, pressure can be measured in psi, kPa
and inH20, level can be measured in ft, m and inch, and flow can be measured in gallons
per min, tonne per hour, etc. At times it is not convenient represent process variables in
engineering units.
Another common, convenient and easily understood method to represent and display a
process variable is to represent its value as a percentage. In cases where the lower limit of
the measurement range is actually ZERO = 0.0, then the common sense notion of
percentage applies where %PV = 100% * PV / U.
ex. Given an air tank with a maximum pressure of 120 psi, but only a measured value
of PV = 60 psi, common sense would lead you to calculate the % pressure as follows:
%PV = 100% * PV / U = 100% * 60 psi / 120 psi = 50%
120 psi
Max
60 psi
Measured
Air Tank
Pressure
Gauge
Figure 5.3, Percent Value of a Process Variable
Sometimes process variables do not have a have a ZERO actually equal to 0.0, in those
cases the common sense notion of percentage does not apply. Whenever the ZERO ≠ 0.0
conditions exists, then the equation %PV = 100% * (PV – ZERO) / SPAN is used to take
account of ZERO ≠ 0.0 conditions.
Ex. For a thermometer with an upper limit of 120C°, a lower limit of -60C° and a
measured temperature of PV =60 C°, calculate the measured temperature as a
percentage value (%PV = ?):
SPAN = U – ZERO = 120 C° - (- 60 C°) = 180 C°
%PV = 100% * (PV – ZERO) / SPAN
%PV = 100% * [60 C° - (- 60 C°)] / 180 C°
%PV = 66.666%
-60 C° 60 C°30 C° 90 C°0 C°-30 C° 120 C°
Temperature = 60 C°
Thermometer
Figure 5.4
The graph below shows the temperature vs. %PV for the thermometer shown above:
-60 C° 60 C°30 C° 90 C°0 C°- 30 C° 120 C°-90 C°
SPAN = 180 C°
U = 120 C°ZERO = - 60 C°
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Figure 5.5, Temperature vs. %PV
5.7 Elements/Sensors Elements and sensors are the instruments that directly measure or detect the value of a
process variable that is being measured. An element/sensor will generally represent the
measured value of a process variable as an electronic sign, a pressure signal or some
other type of signal. Some examples of elements/sensors and their symbols are shown
below:
Name Process Variable
P&ID Symbol Special /
Electronic Symbol
Picture Output Signal
RTD (Resistive Temperature
Detector) Temperature TE
RTD
Electronic
Ohms, change in resistance is affected by temp.
TC (Thermocouple)
Temperature
TE
TC
Electronic
Volts, voltage produced in proportion to temp.
Orifice Plate Flow
(LPM,GPM,...)
Differential Pressure, increases as a function of flow.
Venturi Tube Flow
(LPM,GPM,...)
FE
Differential Pressure, increases as a function of flow.
5.8 Transmitters Transmitters are devices used to convert the weak, non-standard analog signals from
elements and sensors into standard electronic or pneumatic signals which are transmitted
(sent) to another instrument, often at a different location. Some types of transmitters
have their associated element/sensors built in (integrated). Most of the time the output is
a standard 4-20 mA signal or a 3-15 psi signal.
5.8 Transmitters (cont.) Transmitter examples:
Name Process Variable
P&ID Symbol Two Wire Transmitter
Electrical Symbol Picture
Output Signal
Ultrasound Level
Tansmitter
Level (cm, ft,...)
LT
LT
+
-
Electronic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
Pressure Tansmitter
Pressure (psi, kPa, inH2O,...)
PT
PT
+
-
Electronic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
Differential Pressure
Tansmitter
Pressure difference
between two sources
(psi, kPa, inH2O,...)
DP
H
L
DP
H
L
+
-
Electronic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
Temperature Transmitter
Resistance, Voltage or
other signal from
temperature element
TT
TT
+
-
Electronic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
Flow Transmitter for use with Orifice Plate
(DP cell)
Differential Pressure cross Orifice Plate
(psi, kPa, inH2O,...)
FT
H
L
FT
H
L
+
-
Electronic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
Most of the time the output is a standard 4-20 mA signal or a 3-15 psi signal.
5.9 Indicators Indicators are devices that are used to display the current value of a given process
variable. Some indicators such as pressure gauges measure a process variable directly
and display the measurement. Other indicators display process variables measurements
sent from standard signals from transmitters in remote locations, some examples include
remote pressure indicators, temperature indicators, level indicators and flow indicators.
A few examples of indicators and their symbols are shown below:
Name Process Variable
P&ID Symbol Electrical, Pneumatic or
Tubing Symbols Picture
Input Signal
Pressure Indicator
Pressure (psi, kPa,...)
PI
PI
tube
Direct Measurement
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
Flow Indicator
Flow (LPM, GPM,...)
FI
FI
+
-
Electronic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
Flow Indicator
Flow (LPM, GPM,...)
FI
FI
tube
Pneumatic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
Temperature Indicator
Temperature
TI
TI
+
-
Electronic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
5.10 Recorders Recorders are devices that are used to record a permanent record the value of process
variables as they change over time. Some recorders record process variables on paper and
some recorders store measurements electronically. Usually recorders record process
variable measurements received in the form of standard signals from transmitters in
remote locations. Some examples include pressure recorders, temperature recorders,
level recorders and flow recorders. A few examples of indicators and their symbols are
shown below:
Name Process Variable
P&ID Symbol Electrical, Pneumatic or
Tubing Symbols Picture
Input Signal
Pressure Recorder
Pressure (psi, kPa,...)
PR
PR
+
-
Electronic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
Flow Recorder
Flow (LPM, GPM,...)
FR
FR
+
-
Electronic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
Flow Recorder
Flow (LPM, GPM,...)
FR
FR
tube
Pneumatic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
Temperature Transmitter
Level (ft, in, m,…)
LR
LR
+
-
Electronic
4-20mA, 3-5 psi,
0-10V or non-
standard signal.
5.11 Standard 4-20mA Signals Standard 4-20mA signals are the most common standard electronic signals used to
represent and transmit the analog value of a process variable. A 4-20mA signal varies
linearly as a function of the value of the variable that the signal represents. The graph
below shows the relationship between percent value of a variable and a 4-20mA signal
that represent it:
0 mA
18 mA
16 mA
14 mA
12 mA
10 mA
8 mA
6 mA
4 mA
2 mA
20 mA
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Lo
op
Cu
rre
nt (m
A)
%PV
Figure 5.6, Loop Current vs. %PV
The equation to convert from %PV to loop current is Iloop = (16mA) (%PV/100%) + 4mA, to
convert from loop current back to %PV is %PV = (100%) (Iloop – 4mA) / 16mA.
The drawing below shows a generic schematic that represent the relationship between the
instruments in a typical process variable measuring, displaying and recording system.
Note that the interconnections between the electronic instruments make up a simple series
circuit known as a 4-20mA current loop
Transmitter
+
_
Element
Indicator Recorder
+
-
+24 VDC
Supply
+ - + -
4-20mA 4-20mA
4-20mA
4-20mA
Figure 5.7, 4-20mA Current Loop with a Two Wire Transmitter
5.11 Standard 4-20mA Signals (continued) If the transmitter is a two terminal device such as the one shown above, then the
transmitter is referred to as a two wire transmitter. Some transmitters require a constant
current greater than 4mA all times just to keep the internal electronics operating, so a
third terminal in introduced to the transmitter, this type of transmitter is referred to as a
three wire transmitter. The additional terminal is connected to the negative terminal of
the power supply through a return line as shown below:
Transmitter
+
out
Element
Indicator Recorder
+
-
+24 VDC
Supply
+ - + -
4-20mA 4-20mA 4-20mA
-
Return
Source
Figure 5.8, 4-20mA Current Loop with a Two Wire Transmitter
5.12 Standard 3-15 PSI Signals and Systems The standard 3-15 PSI signal is the most common pneumatic signal standard used to
represent the values of process variables. The pressure of 3-15 PSI pressure signal varies
linearly as a function of the value of the process variable it is representing as shown in the
graph below:
0 mA
12 psi
9 psi
6 psi
3 psi
15 mA
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Pre
ssu
re (
psi)
%PV
Figure 5.9, %PV vs. Pressure for a 3-15 PSI Signal
5.12 Standard 3-15 PSI Signals and Systems (continued) Usually a 3-15psi signals is used to represent a variable that is transmitted from one
instrument to at least one or more other instruments that receive the signal. The generic
schematic below shows the relationship between the instruments in a typical 3-15psi
signal based pneumatic based measuring, indicating and recording system:
TransmitterElement
Indicator Recorder
Air Supply, 20 psi
3 – 15 psi Signal
Figure 5.10, Generic Pneumatic Measurement, Indicating and Recording System