05 chp1 and chp2 lecture

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    INTRODUCTION

    In Engineering, carefully design experiments are

    needed to: conceive and verify theoretical concepts develop new methods and products

    evaluate performance and behavior of existing products etc.

    Experimentation and the design of measurementsystems are major engineering activities. Why?

    Applications of Engineering Experimentation

    Measurement in Engineering Experimentation- new information is being sought

    Measurement in operational devices

    - for monitoring and process control

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    INTRODUCTION (cont)

    Measurement in Engineering Experimentation

    Involves using the measurements process to seek newinformation and

    Testing of existing products to determine maintenance

    requirements

    These falls broadly into three categories:

    1. Research Exper imentat ion

    2. Development Exper imentat ion3. Per fo rmance Tes t ing

    Whats the main difference between 1 and 2?

    In research, concepts for new products or processes are

    being sought (often unsuccessfully), while in

    development, known concepts are being used to

    establish potential commercial products.Any examples?

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    Measurement in Engineering Experimentation

    Research experiments are frequently highly uncertain

    and often leads to dead end.

    Development programs usually have better define

    goals than research programs and frequently result in an

    operational product.

    Performance testing is somewhat different from both

    research and developmental experiments. How different?

    It is done on products that have been developed and

    in many cases are already on the market.It may be carried out to:

    Demonstrate applicability for a particular application

    To assess reliability or to determine product lifeline

    Determine needs for maintenance (periodic testing).

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    DIMENSIONS and UNITS

    The physical world is described with a set ofdimensions.Length,

    mass, time and temperature are dimensions. When a numericalvalue is assigned to a dimension, it must be done in a unit system.

    The International System of Units (SI) is the most widely used unit

    system in the world, due to its consistency and simplicity.

    In the US here, a unit system based on the old British unit system is

    still widely used., hence both units will be used in these class.

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    Units Convertion

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    Chapter 2

    Topic: General Characteristics of

    Measurements

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    Generalized Measurement System

    Figure 2.1 Generalized measurement system.

    Measurands: Numerical values for physical variables.

    The sensing element has a significant physical

    characteristic that changes in response to changes in the

    measurand.

    The signal modification device changes the output of

    the sensing element in some way to make it suitable for the

    indicating or recording device.

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    Example - Thermometer

    Figure 2.2 Mercury-in-glassthermometer.

    What is the physical dimension to be

    measured?

    Temperature

    What is the sensing element in this

    case?

    Volume of mercury

    What is the signal modification system?

    By connecting the bulb to the stem.

    (Note: the displacement mercury in the

    bulb is proportional to the differentialthermal expansion between the mercury

    and the glass envelop)

    What is the indicating device?

    The scale that is either next to the

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    Measurement Error

    Definition:

    error = measured value true valueNote: Error in this technical usage does not imply there

    is any mistake in the measurement process, although

    mistakes can cause errors.i

    If the true value of the measurand is known, there will be

    no need to make measurements except in the case of..

    Calibration!!!

    What we can estimate is however the uncertainty

    interval(or simplyuncerta inty)of the measurement.

    The uncertaintyis an estimate (with some level of

    confidence) of the limits of the error in the measurement.

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    Example

    Q. How will you interpret the error in the following

    statement: with 95% confidence, the uncertainty ofvoltage measurement is +/- 1V.

    This means the error will be greater than 1 V in less

    than 5% of the cases.

    Two Categories of Errors

    1. Systematic Errors ( same as fixed or bias errors) -

    Systematic or bias errors are consistent, repeatable

    errors.

    2. Random Errors (or precision errors) Random errors

    are cause by lack of repeatability in the output of the

    measurement.

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    Sources of Systematic Errors (Bias

    Errors)1. Error in the calibration of the measurement system.These are known as cal ibrat ion error s. One source

    of this nonl ineari ty.

    2. Errors obtained where the insertion of a measuring

    device alters the measurand. This is known as

    loading errors.

    3. Measuring system is affected by variables other than

    the measurand. Example related to this source of

    error is spatial error.

    If the measurand varies in a spatial region and yet a

    single measurement or a limited number of

    measurements are used to determine the average value

    for the region, there will be a spatial error.

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    Sources of Random Errors

    1. Errors can originate from the measuring system itself,

    from the experimental system or from theenvironment.

    2. Uncontrolled variables in the measurement process.

    E.g. not controlling temperature versus amplifier

    performance.

    3. Electrical noise. (electric and magnetic fields caused

    by building wiring, local radio stations etc can affect

    readings by altering voltages in measuring systems)

    How to minimize Random Errors

    Eliminating uncontrolled variables

    Properly shielding or grounding the measurings stem

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    Random and Systematic Errors

    Random errors are cause by lack of repeatability in the output of the

    measuring system.

    Random error = reading average of reading

    Systematic error = average of reading true value

    Figure 2.3 Distinction between systematic and random errors.

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    Example Problems

    You attempt to determine the validity of a

    bathroom scale by repeatedly placing 20 lb ofaccurate weights on it.

    Ten readings were obtained with values of 20.2, 20.2,

    20.6, 20.0, 20.4, 20.2, 20.0, 20.6, 20.0, and 20.2 lb.

    Estimate (i) the systematic error and

    (ii) the maximum random error

    of the measurements.

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    Example Problems

    Determine whether the following measurements are

    intrusive or nonintrusive.

    (a) Measuring amperage of current in a wire using clamp - on

    ammeter

    (b) Measuring flow of fluid in a pipe by installing an orifice

    meter in the pipe.(c) Measuring composition of gases in an exhaust using a

    device which optically measures transmitted infrared radiation.

    (d) Determining the surface temperature of a pipe using a

    thermometer that measures the emitted infrared radiation.

    (e) Rotational speed of a shaft indicated by astrobotachometer.

    The strobotachometer measures rotational speed by shining a

    pulsing light on a mark on the shaft and adjusting the pulsing rate

    until the mark appears stationary. The light has negligible effect on

    the rotation of the shaft and is non-intrusive.

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    Example Problems

    Determine if the following errors are of random or

    systematic type. Justify your response.

    (a) A digital scale, that always shows 0.2 lb when no

    weight is applied.

    (b) Vibration of the needle of an automobile

    speedometer.

    (c) Consistent temperature difference between two

    sensors reading the air temperature in the same room.