24291 predicting equip lifetime - high t corr
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7/28/2019 24291 Predicting Equip Lifetime - High T Corr
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Predicting Equipment Lifetimes with High Temperature Corrosion Data
R.C. John1, A.D. Pelton2, A.L. Young3, W.T. Thompson4, andI. G. Wright5
1Shell Global Solutions (US) Inc., P. O. Box 1380, Houston, Texas 77251-1380 USA, phone 281-
544-7229, fax 281-544-6060, [email protected], Ecole Polytechnique de Montréal, 447 Berwick, Montreal H3R 1Z8 Canada, phone 514-
340-4711, fax 514-340-5840, [email protected] Solutions Ltd., Suite 1410, 270 Scarlett Road, Toronto, Ontario M6N 4X7 Canada,
phone 416-769-4200, fax 416-769-6650, [email protected] Military College of Canada, Kingston, Ontario, K7K 5LO Canada, phone 613-544-6159, fax
613-544-7900, [email protected] Ridge National Laboratory, P. O. Box 2008, MS-6156, Oak Ridge, Tennessee 37831-6156
USA, phone 865-574-4451, fax 865-241-0215, [email protected]
Keywords: ASSET, sulfidation, high-temperature corrosion predictions, corrosion datacompilation, engineering lifetime predictions, weight change, parabolic rate constant
Abstract. This presentation summarizes the on-going development of an information system used
to predict corrosion of metals and alloys by high temperature gases found in many different oil
refining, petrochemical, power generation, and chemical processes. The databases currently
represent about 13 million hours of exposure time for about 7,800 tests with 90 commercial alloys
for a temperature range of 200 – 1,200oC. The data are the result of tests with well-defined
conditions lasting thousands of hours. Oxidation has been emphasized with many exposures lasting
several years of time. The corrosion data archived and the resulting corrosion predictions represent
total metal penetration, which includes both surface recession and subsurface corrosion. The system
manages corrosion data from well-defined exposures and determines corrosion product stabilities.
Models used in the thermochemical predictions of corrosion product phase stabilities for all
possible phases formed from combinations from the Fe-Ni-Cr-Co-C-O-S-N-H system have been
compiled. Thermochemical data for all of the known phases based upon combinations of these
elements have been analyzed to allow complete assessments of corrosion product stabilities. Use of
these data allows prediction of corrosion product stabilities predicted to form at the scale/gas
interface, which can then be used to infer the dominant corrosion mechanisms. Previous
approaches, which have often used simplifying assumptions of pure and single component
corrosion products, are no longer required. The stabilities of complex corrosion product phases orreal alloys can now be calculated, assuming equilibrium. The system is used in corrosion research,
alloy development, failure analysis, lifetime prediction, and selection of materials/alloys for
equipment fabrication, equipment maintenance scheduling, and process operations evaluations. The
corrosion mechanisms emphasized are oxidation, sulfidation, sulfidation/oxidation, carburization,
and nitridation. The capabilities for managing corrosion data for Cl2 /HCl corrosion, metal dusting,
and cyclic oxidation are under development.
Background
This paper discusses the development of a technology to predict corrosion of metals and alloys inhigh-temperature gases by several different corrosion mechanisms. The corrosion mechanisms,
which are well developed, are oxidation, sulfidation, sulfidation/oxidation, and carburization. The
Materials Science Forum Vols. 461-464 (2004) pp. 599-610online at http://www.scientific.net © (2004) Trans Tech Publications, Switzerland
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capabilities are now being developed to predict corrosion by HCl/Cl2 corrosion, metal dusting, and
cyclic oxidation. The capability to predict corrosion of commercial alloys by these mechanisms will
have far-reaching implications in many different industries, including processes used in petroleum
refining, gas processing, fired equipment, process heaters, thermocouples, instrumentation,
hydrocracking, coking, vacuum flashing, hydrotreating, coal/coke/oil gasifying, petrochemical
production, catalytic reforming, power generation and gasification of black liquor in pulp/paperproduction. Applications for this technology are found in industries such as oil refining,
petrochemicals production, pulp/paper production, and power generation.
Corrosion often defines the maximum allowable temperature or maximum allowable gas species
concentrations for metals and alloys in equipment, although mechanical properties or other
considerations may also define the maximum allowable temperature. The data compilation now
allows engineering corrosion assessments for sulfidation and sulfidation in the presence of
oxidizing gases and predictions for wide ranges of conditions. The effects of gas composition,
temperature, exposure time and alloy type have all been analyzed and compiled to allow prediction
of corrosion for wide ranges of conditions to allow engineering predictions of corrosion-limited
lifetimes.
Most corrosion data for alloys exposed to high-temperature gases are reported in terms of weight change/area for relatively short exposures and inadequately defined exposure conditions.
Unfortunately, the weight change/area information is not directly related to the thickness
(penetration) of corroded metal, as illustrated in Fig. 1 and is often needed in assessing the strength
of process equipment components. Corrosion is best reported in penetration units, which indicate
the sound metal loss, as discussed earlier1-2
. Corrosion in high-temperature gases is affected by key
parameters of the corrosive environments such as temperature, alloy composition, time, and gas
composition. Examples of metal penetrations for some typical conditions are shown in this
presentation. Compositions of some of the alloys discussed in this paper are shown in Table 1.
Studies on alloy oxidation, in terms of
penetration measurement, have been reported formany years
1-10. Most studies, which have reported
systematic investigations of the effects of exposure
conditions, such as gas composition, temperature,
and time upon oxidation, have emphasized simple,
model alloys. Typical exposure times have been
hundreds and rarely to thousands of hours. These
studies have often indicated the amount of
oxidation with a measure of the weight change or
weight change/area of the alloy sample
corresponding to the incorporation of corrosive
species into the alloy corrosion products. Thisapproach infers a relationship between the weight
change of the affected alloy to the thickness of
sound metal loss, assuming that the weight change
corresponds to a uniform layer, such as a surface
scale of a corrosion product. This assumption is
often been true for model alloys, which form surface scales as the primary corrosion product.
However, demonstration of this approach for a variety of commercially used, heat resistant, alloys
has not been well established in public literature. A common motivation to measure the corrosion
behavior of metals is to determine the extent or rate of metal penetration because the utility of most
high temperature equipment depends upon the materials of construction having sufficient
uncorroded metal to provide the required load-bearing strength to function in the structure.
Figure 1. Schematic View of Total Penetration
Measurement, which is the corrosion
measurement archived and Used in ASSET, for a
Typical Corrosion Product Morphology.
uncorroded
alloy
total
penetrationinternal
penetration
external scale
internal
corrosionproducts
corroded grainboundaries
Figure 1. Schematic View of Total Penetration
Measurement, which is the corrosion
measurement archived and Used in ASSET, for a
Typical Corrosion Product Morphology.
uncorroded
alloy
total
penetrationinternal
penetration
external scale
internal
corrosionproducts
corroded grainboundaries
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Determination of the total metal penetration is a good assessment of an alloy's suitability for
engineering application in a particular set of exposure conditions.
An objective of this study was to produce alloy oxidation data, which could be used to predict
the extent of sound metal loss as a result of oxidation occurring over ranges of conditions present in
real high temperature equipment. The approach emphasized exposures to ranges of practical
variables pertinent to operating equipment. Exposure times ranged up to nearly 24,000 hr withvariations in the O2 concentrations from 0.1 to 100% in O2-N2 gases, and temperatures of 200 -
1200oC. The metal penetration was determined for all of the samples exposed. The total penetration
reported in this study is the sum of the surface scale plus the internal penetration.
Table 1. Compositions of Some Alloys in this Study
Alloy Name UNS Fe Cr Ni Co Mo Al Si Ti W Mn Cu RE* C Nb
153 MA S30415 69.66 18.30 9.50 0.00 0.42 0.00 1.23 0.00 0.00 0.56 0.23 0.05 0.05 0.00
253 MA S30815 65.60 20.90 11.00 0.00 0.00 0.00 1.77 0.00 0.00 0.64 0.00 0.00 0.09 0.00
AISI 1020 G10200 99.42 0.00 0.00 0.00 0.00 0.00 0.04 0.00 0.00 0.38 0.00 0.00 0.16 0.00
AISI 304 S30400 71.07 18.28 8.13 0.14 0.17 0.00 0.49 0.00 0.00 1.48 0.19 0.00 0.05 0.00AISI 310 S31000 52.41 24.87 19.72 0.05 0.16 0.00 0.68 0.00 0.00 1.94 0.11 0.00 0.06 0.00
AISI 316 S31600 68.75 17.00 12.00 0.00 2.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
AISI 410 S41000 86.50 12.30 0.50 0.00 0.10 0.00 0.60 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Alloy 188 R30188 1.32 21.98 22.82 38.00 0.00 0.00 0.37 0.00 14.55 0.82 0.00 0.04 0.10 0.00
Alloy 214 N07214 2.49 16.04 76.09 0.14 0.10 4.71 0.10 0.00 0.10 0.20 0.00 0.00 0.03 0.00
Alloy 230 N06230 1.30 21.90 59.70 0.28 1.20 0.38 0.42 0.02 14.20 0.49 0.01 0.00 0.10 0.00
Alloy 556 R30556 32.50 21.27 21.31 18.09 2.88 0.17 0.33 0.00 2.38 0.96 0.00 0.00 0.11 0.00
Alloy 600 N06600 7.66 15.40 75.81 0.00 0.00 0.32 0.16 0.00 0.00 0.29 0.32 0.00 0.04 0.00
Alloy 601GC N06601 13.53 23.48 60.00 0.06 0.16 1.26 0.50 0.27 0.00 0.31 0.38 0.00 0.05 0.00
Alloy 617 N06617 0.76 22.63 53.20 12.33 9.38 1.15 0.15 0.27 0.00 0.02 0.05 0.00 0.06 0.00
Alloy 625 N06625 2.66 21.74 62.79 0.00 8.46 0.10 0.41 0.19 0.00 0.10 0.00 0.00 0.03 3.52Alloy 800 H N08810 44.22 21.22 31.71 0.00 0.00 0.33 0.60 0.41 0.00 0.92 0.51 0.00 0.08 0.00
INCOLOY 803** 35.94 26.19 35.04 0.21 0.01 0.58 0.63 0.33 0.00 0.98 0.00 0.00 0.09 0.00
INCOLOY DS 44.31 16.60 34.90 0.00 0.29 0.00 2.52 0.00 0.00 1.14 0.17 0.00 0.07 0.00
Copper C11000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 100.00 0.00 0.00 0.00
HR-120 N08120 34.53 25.12 37.44 0.11 0.37 0.11 0.57 0.02 0.10 0.73 0.18 0.00 0.06 0.66
HR-160 N12160 8.00 28.00 34.30 27.00 0.00 0.00 2.70 0.00 0.00 0.00 0.00 0.00 0.00 0.00
INCOLOY
MA956
S67956 75.22 19.40 0.28 0.05 0.00 4.50 0.11 0.33 0.00 0.09 0.00 0.00 0.02 0.00
Nickel N02270 0.00 0.00 99.99 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00
602 CA N06025 9.45 25.35 62.63 0.00 0.00 2.09 0.06 0.14 0.00 0.09 0.01 0.00 0.18 0.00
• RE means rare earth elements• ** INCOLOY is a trademark of Special Metals Corporation
Corrosion mechanisms
For all mechanisms in this study, the name of the mechanisms comes from the corrosion products,
which dominate. Examples are: oxides form during oxidation, carbides form during carburization
and so on. Corrosion by these mechanisms leads to formation of corrosion products, leads to metal
loss (penetration), and occurs upon exposure of metals to gases which contain the reactive species
need to form the corrosion products. An X-ray analysis by diffraction of a surface scale sample is a
common method to determine the identity of corrosion products. An alternate method is to evaluatethe gas composition. Surface metal loss (scaling) can be detected by methods, which measure the
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metal thickness, such as ultrasonic and mechanical methods. Sound metal loss by internal corrosion
can only be detected by metallography, as schematically shown in Fig. 1.
The time dependence of high temperature corrosion is controversial3-5
and depends upon the
combination of alloy, temperature, time, and corrosion mechanism. Reported time dependencies
include: parabolic (metal loss proportional to time0.5
), linear (metal loss proportional to time),
power law (metal loss proportional to time
x
), and various combinations of these dependencies. If thecorrosion product scale remains undisturbed on the alloy surface and sufficient time has passed (in
excess of 1,000 hr), a reasonable approximation is that the time dependence is parabolic. Removal
or cracking of the surface scale will tend to increase the rate of corrosion, because the presence of
the scale is a partial barrier, which will tend to slow the corrosion rate as time passes, but corrosion
still continues. Some studies suggest an initial linear time dependence for several thousand hours.
Corrosion data measured after hundreds of hours (as is often the case for available data) is unlikely
to be useful in estimating sulfidation corrosion rates for long-term service. Corrosion data are
properly used when the time dependence is considered. The corrosion mechanisms considered in
this presentation and some of the important variables are listed below:
Oxidation. The key variables, which influence the kinetics, are the exposure time, and partialpressure of O2, alloy composition and temperature.
Sulfidation. The key variables, which influence the kinetics, are exposure time, partial pressures of
H2 and H2S (for H2 and H2S gases) or CO and COS for (CO - COS gases), alloy composition and
temperature.
Sulfidation/oxidation. The key variables, which influence the kinetics, are exposure time, partial
pressures of O2 and S2, alloy composition and temperature.
Carburization. The key variables, which influence the kinetics, are exposure time, partial pressure
of H2S, activity of carbon, alloy composition and temperature.
HCl/Cl2 corrosion. The key variables, which influence the kinetics, are exposure time, partial
pressure of HCl and Cl2, alloy composition and temperature.
Metal dusting. The key variables, which influence the kinetics are controversial but certainly
include exposure time, stability of surface films such as oxides or sulfides, surface condition (such
as annealed or cold worked), alloy composition and temperature.
Cyclic oxidation. The key variables, which influence the kinetics, are exposure time, thermal cycle
features, partial pressure of O2 and alloy composition.
The data collection allows corrosion predictions to be made for about 90 commercial alloys
shown, with some examples listed in Table 1. The progressive accumulation of this data over time
is illustrated in Fig. 2 in terms of the total number of exposure hours represented by the data.
The current testing efforts are generating and compiling data for the following conditions:
• Cl2 /HCl corrosion testing in air + Cl2, air + HCl, and N2+Cl2 /HC (l - 30 % Cl2 and 0 - 30 %
HCl), at 200 - 900°C,
• Cyclic oxidation testing of 10 alloys in air environments and other gases at 800 -1,200°C.
• Metal dusting data compilation from numerous sources.
Effect of Exposure Time Upon Oxidation. Many alloys tend to have linear dependencies of
penetration with time0.5
, after sufficient time has passed, as illustrated for some alloys in Fig. 3. The
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dotted lines suggest the approximate slopes corresponding to that expected for parabolic time
dependence. However, it was surprising to discover that alloys, which form Al2O3-rich, surface
scales showed no time dependence. The amount of oxidation did not increase with the passage of
time, even as long as 24,000 hr. at 982oC in air! Obviously, higher temperatures are needed to
induce increasing scale growth.
0
2,000,000
4,000,000
6,000,000
8,000,000
10,000,000
12,000,000
14,000,000
7-1996 1-2000 3-2001 8-2001 3-2002 9-2002 4-2003 12-2003
ASSET Software Release Date
E x p o s u r e T i m e ,
h r
Total CarburizationCyclic Oxidation Isothermal OxidationIsothermal Oxidation with SO2/SO3 SulfidationSulfidation / Oxidation Sulfuric/Sulfurous Acid Dew Point Corrosion
Figure 2. Growth of ASSET Database Exposure Time
0
2,000,000
4,000,000
6,000,000
8,000,000
10,000,000
12,000,000
14,000,000
7-1996 1-2000 3-2001 8-2001 3-2002 9-2002 4-2003 12-2003
ASSET Software Release Date
E x p o s u r e T i m e ,
h r
Total CarburizationCyclic Oxidation Isothermal OxidationIsothermal Oxidation with SO2/SO3 SulfidationSulfidation / Oxidation Sulfuric/Sulfurous Acid Dew Point Corrosion
Figure 2. Growth of ASSET Database Exposure Time
The amount of metal penetration by internal oxidation as the exposure time increases was also
studied. The alloys tended toward most of the penetration occurring as internal oxidation at longtimes, with most of the alloys showing about 80-95% of the penetration as internal oxidation.
Alloys with Al2O3-rich scales showed no change in the relative amount of penetration by internal
oxidation with the progression of time. Although some of the alloys did change in their relative
amounts of penetration occurring by internal oxidation, the corrosion product morphologies were
not obviously different as the exposure time increased. The alloys with Fe and Cr-rich surface
scales tended towards large amounts of internal oxidation, while alloys with Al2O3-rich scales
showed very little internal oxidation.
Effect of temperature upon oxidation. The alloys tended to have more penetration with increasing
temperature for all of the O2 concentrations studied. Examples are shown in Fig. 4 for exposures to
air for 1,000 hr. Most of the alloys had relative amounts of penetration by internal oxidation to beindependent of temperature and O2 concentration as the temperature increased, during exposures to
gases of 0.1, 1, 21 and 100% O2. Alloys that form Cr2O3 scales often had relative amounts of
penetration by internal oxidation in excess of 80%. Examples are: S31000, N08810, N18120,
N07214, N06601, N06025, S44600, N06230, N06617, and S30400. Alloys that form Al 2O3 scales,
like S67956, N07214, N06025, FA320, and FAL had most of the penetration occurring by surface
scale formation.
The results also show that the relative amount of penetration occurring as internal oxidation
changed most with temperature during exposure to 1% O2 and became less dependent upon
temperature as the O2 concentration increased. The greatest variation in the amount of internal
oxidation for variation of temperature was observed for exposures to 1% O2. Higher temperatures
and higher O2 concentrations tended to promote less variation in penetration and increased relativeamounts of penetration occurred as internal oxidation. A potential explanation for this behavior is
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that low temperatures and low O2 concentrations are conditions in which oxide surface layers are
less likely to form and all of the alloying elements will oxidize together, making many of the alloys
marginally resistant to oxidation in low O2 concentrations. Increased temperatures and O2
concentrations could favor formation of the very oxidation resistant surface scales and thereby
reduce the differentiation among the alloys and also cause greater internal oxidation as the reactive
elements in low concentrations oxidize underneath the surface scales more rapidly than thesurrounding base metal.
S31000
0
1
10
100
100 1000 10000 100000
Time, hr
P e n e t r a t i o n , m i l
720 C 871 C 982 C
N07214
0.1
1.0
10.0
1000 10000Time, hr
P e n e t r a t i o n , m i l s
982 C
N06230
0.1
1.0
10.0
100.0
100 1000 10000Time, hr
P e n e t r a t i o n , m i l s
982 C
N06025
0.1
1.0
10.0
100 1000 10000Time, hr
P e n e t r a t i o n , m i l s
982 C
Figure 3. Effect of Time Upon Penetration of Alloys Exposed to Air at 982 C.
Figure 4. Effect of Temperature Upon Penetration for Alloys Exposed to Air for 1,000 hr.
0.1
1.0
10.0
100.0
300 500 700 900 1100Temperature, C
P e n e t r a t i o n , m i l s
Copper Carbon Steel Nickel
0.1
1.0
10.0
100.0
700 900 1100 1300Temperature, C
P e n e t r a t i o n , m i l s
Incoloy 803 N06600 S31000
S31000
0
1
10
100
100 1000 10000 100000
Time, hr
P e n e t r a t i o n , m i l
720 C 871 C 982 C
N07214
0.1
1.0
10.0
1000 10000Time, hr
P e n e t r a t i o n , m i l s
982 C
N06230
0.1
1.0
10.0
100.0
100 1000 10000Time, hr
P e n e t r a t i o n , m i l s
982 C
N06025
0.1
1.0
10.0
100 1000 10000Time, hr
P e n e t r a t i o n , m i l s
982 C
Figure 3. Effect of Time Upon Penetration of Alloys Exposed to Air at 982 C.
Figure 4. Effect of Temperature Upon Penetration for Alloys Exposed to Air for 1,000 hr.
0.1
1.0
10.0
100.0
300 500 700 900 1100Temperature, C
P e n e t r a t i o n , m i l s
Copper Carbon Steel Nickel
0.1
1.0
10.0
100.0
700 900 1100 1300Temperature, C
P e n e t r a t i o n , m i l s
Incoloy 803 N06600 S31000
Every alloy formed surface scales of oxides at the P O2’s used in this study (0.0001 – 1.0 atma).
Surface scales in the absence of subsurface oxidation products were rarely observed, except for
Al2O3-forming alloys. The alloys varied greatly in the extent and type of subsurface corrosion. The
alloys generally exhibited the majority of metal penetration by a combination of internal oxidationand void formation. The morphology of surface scale formation + intergranular oxides was the most
common. Most of the penetration occurred by internal oxidation along grain boundaries and internal
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to the grains. The surface scales were often made of (Cr, Fe) oxides, with the concentration of Fe
increasing with the O2 concentration. Internal corrosion products were often oxides rich in reactive
elements such as Ti, Si, Cr and Al.
S31000
0.1
1.0
10.0
0.001 0.010 0.100 1.000P O2, atma
P e n e t r a t i o n , m m
760 C 871 C 982 C 1093 C
N07214
0.1
1.0
10.0
100.0
0.001 0.010 0.100 1.000P O2, atma
P e n e t r a t i o n , m i l s
982 C 1093 C
R30556
0.1
1.0
10.0
0.001 0.010 0.100 1.000P O2, atma
P e n e t r a t i o n , m i l s
982 C
Figure 5. Effect of P O2 Upon Metal Penetration for AlloysExposed to Several Temperatures 1,000 hr
S31000
0.1
1.0
10.0
0.001 0.010 0.100 1.000P O2, atma
P e n e t r a t i o n , m m
760 C 871 C 982 C 1093 C
N07214
0.1
1.0
10.0
100.0
0.001 0.010 0.100 1.000P O2, atma
P e n e t r a t i o n , m i l s
982 C 1093 C
R30556
0.1
1.0
10.0
0.001 0.010 0.100 1.000P O2, atma
P e n e t r a t i o n , m i l s
982 C
Figure 5. Effect of P O2 Upon Metal Penetration for AlloysExposed to Several Temperatures 1,000 hr
Effect of oxygen concentration upon oxidation. The influence of O2 concentration upon oxidation
is complex over the temperature range of 871 – 1177oC. The approach taken to view the data was to
examine the differences of the penetration between the alloys for different O2 concentrations in the
gas phase at a constant exposure time of 1,000 hr. Comparing the graphs in Fig. 5 shows the
influence of O2 concentration with constant temperature upon penetration rates. The general
conclusion is that most alloys vary in the influence of the O2 concentration upon the penetration.Oxidation rates of most Cr2O3 – forming alloys such as S31600, S30415, N06230, FA320, N30556,
N06600, N06617, S50400, INCOLOY 803, FAL, N06025, INCOLOY DS, copper, and G10200
increase with P O2. Al2O3-forming alloys such as S67956, N07214, and N18120 exhibited slower
oxidation as the O2 concentration increased. These alloys with Al concentrations of 4.7 %
underwent less penetration as the O2 concentration of the ambient gas increased. Alloys like
S32100, S34700, N12160, nickel, and N06601 showed no influence of the penetration by the P O2.
Some alloys like S30400, S31000, and S41000 showed higher penetrations at higher P O2’s and
lower P O2’s, with a minimum at some intermediate P O2. Microstructures show that for these
alloys, penetration is mostly scale formation at high P O2’s, while internal oxidation dominates at
low P O2’s. The minimum in penetration at some intermediate P O2 is the result of the transition
between penetration domination by scale formation and by internal oxidation.
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Predicting Corrosion Products on Real Alloys Via Thermochemical Calculations
Oxides-Sulfides-Carbides-Nitrides. Since there are many different types of alloys, which might be
used in a wide range of gases and could potentially induce corrosion in the presence of complex
gases, a general capability to predict the stabilities of corrosion products has been developed. Theapproach taken has been to use thermochemical calculations to predict the most stable corrosion
products, as defined by the alloy composition, gas composition, and temperature. The approach
considers a small amount of alloy exposed to a large amount of gas, with an assumed molar ratio of
1 mole alloy to 1,000 moles of gas. This is done to approximate the surface of a corroding alloy in
contact with a large amount of gas, as might be experienced by a surface of alloy equipment
exposed to large amounts of flowing gas. The approach assumes that only the majority elements in
the alloys will determine the dominant corrosion mechanism, as determined by the majority of
corrosion products, within these constraints, the calculations are very accurate, as described below.
Thermochemical models for the many complex corrosion product phases were developed to enable
the required calculations.
The elements considered in the thermochemical calculations are: W-La-Mo-Nb-Cu-Ni-Co-Fe-Mn-Cr-Ti-Ar-Cl-S-Si-Al-F-O-N-C-H. The thermochemical literature has been extensively reviewed
and models have been built to describe the solution thermodynamics of the complex sulfide, alloys,
carbides, oxides, nitrides and intermetallic phases have been constructed and are described
elsewhere30-32
. The elements which are considered to occur in the solution phases are:
• Al-Co-Cr-Fe-Mn-Ni-Si-Ti in the case of oxides:
Spinel - (Fe2+, Fe3+, Co2+, Co3+, Cr2+, Cr3+, Ni2+, Mg2+, Al3+) [Fe2+, Fe3+, Co2+, Co3+,
Cr3+, Ni2+, Mg2+, Al3+]2 O4
Corundum - Fe2O3 - Cr2O3 - Al2O3 Monoxide -
FeO - CoO - NiO - CaO - MgO - Al2O3 - ZnO – CuO Fe-Ni-Co-Crin the case of sulfides
• W-Mo-Nb-Cu-Ni-Co-Fe-Mn-Cr-Ti-Si-Al in the case of carbides and nitrides
• W-La-Mo-Nb-Cu-Ni-Co-Fe-Mn-Cr-Ti-Si-Al-N-C in the case of metallic alloy solution (liquid
and solid) phases
The effort included development of appropriate mathematical models, based upon the structure
of the solutions and described the thermodynamic properties as functions of temperature and
composition. The models were “optimized" by using all available thermodynamic and phase
diagram data from the literature (to obtain a set of model parameters for the 2-component, 3-
component and higher order sub-systems). The resulting models were used to estimate the
thermodynamic properties of the N-component solution from the database of parameters for lower-order sub-systems. The models were then evaluated by comparison to the available thermodynamic
and phase equilibrium data, which concluded that the model predictions can reproduce the
measured data within the experimental error limits from 25oC to above the liquidus temperatures at
all compositions and oxygen partial pressures from metal saturation to equilibrium with oxygen.
The model for the sulfide liquid phase contains Fe-Ni-Co-Cr-S and uses the Quasichemical Model
(Pair Approximation). For solid non-stoichiometric sulfide solutions in the Fe-Ni-Co-Cr-S system,
appropriate thermodynamic models were developed. Parameters of these models were optimized to
reproduce all solid-solid and solid-liquid phase equilibria. Examples of the evaluations of the
models are listed below:
•
Partial pressure of sulfur in the liquid sulfide over the whole composition range from puremetals to sulfur-rich liquid
• Metal activity data
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• Metal-liquid sulfide equilibrium data
• Liquid oxide equilibrium data
All other thermodynamic data available for liquid and solid sulfides such as heats of mixing,
heat content, heat capacity, etc. were also considered in the development of the models.
Corrosion by HCl/Cl2 gases. All available thermochemical data will be analyzed to produce
consistent data sets after collection and modeling. Estimations may be made by a variety of
techniques. Databases for the multicomponent solid and liquid solution phases will be developed by
techniques of critical optimization. Model parameters for binary and ternary sub-systems are made
from available literature data and then models will estimate properties of multicomponent solutions.
For the liquid salt phase, we’ll use the quasichemical model and Compound Energy Formalism for
the solid product phases. Cases to be considered shall include corrosion of Fe-Co-Cr-Ni-C-N alloys
at 200 - 900oC and pressures up to 1 bar, in gases containing Cl2, O2, H2O, HCl, CO, CO2, N2, Cl,
O, C, H, and N for all compositions. Co-existence of Cl2 and S will not be considered. The database
will contain Cl-O-C-H-N-Fe-Co-Cr-Ni compounds. All oxidation states will be considered.
The solid and liquid halide database will include all oxidation states that may occur under theseconditions. Solid solutions and pure solids of chlorides and hydroxychlorides will be modeled. The
liquid chloride solution may contain the metal ions in more than one oxidation state, as well as
dissolved oxygen (or oxychlorides), hydroxide, and possibly carbonate. A database for the FeCl 2-
FeCl3-CoCl2-NiCl2 system (solid and liquid phases) is already being developed, including molten
salt, solid solutions, stoichiometric compounds, gaseous species and hydroxides/hydroxychlorides
in the molten salt at various P (H2O) and P (HCl)’s.
1.E-03
1.E-02
1.E-01
1.E+00
1.E+01
300 500 700 900
Temperature, C
P e n e t r a t i o n , m m
S30400 N06600 N08810S30815 S44600 N12160
Figure 6. Effect of Temperature Upon Corrosion for Alloys Exposedto 5% H2S, 30% H2O, and 65% H2 at 10 atma after one year .
1.E-03
1.E-02
1.E-01
1.E+00
1.E+01
300 500 700 900
Temperature, C
P e n e t r a t i o n , m m
S30400 N06600 N08810S30815 S44600 N12160
Figure 6. Effect of Temperature Upon Corrosion for Alloys Exposedto 5% H2S, 30% H2O, and 65% H2 at 10 atma after one year .
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Figure 7. Calculated Corrosion Products for A Small Amount of Alloy Exposedto a Large Amount of 5% H2, 65% H2, and 30% H2O at One Atma.
N06600
0
20
40
60
80
100
0.1 1 10 100% Steam
P h a s e A m o u n t , M
o l e %
MeS(l) MeS(s)Me2O3 Me3S4
N12160
0
20
40
60
80
100
0.1 1 10 100% Steam
P h a s e A m o u n t , M o l e %
MeS(s) Me2O3 SiO2
N06600
0
20
40
60
80
100
0.01 0.1 1 10H2S, Mole %
P h a s e F r a c t i o n ,
M o l e %
MeS(l) Me2O3 Me3O4
Me3S2(s) Alloy
N12160
0
20
40
60
80
100
0.01 0.1 1 10H2S, Mole %
P h a s e F r a c t i o n ,
M o l e
%
MeS(l) Me2O3 Me3O4Alloy MeS(s) SiO2
Figure 8. Effect of H2S Concentration Upon Formation of Corrosion Products for Some
Alloys Exposed to X H2S, 60% H2, 30% H2O and Bal Ar At One Atma and 648o
C.
N06600
0
20
40
60
80
100
500 600 700Temperature, C
P h a s e A m o u n t , m o l e %
MeS(l) MeS(s) Me2O3
N12160
0
20
40
60
80
100
500 600 700Temperature, C
P h a s e A m
o u n t , m o l e %
MeS(l) MeS(s) Me2O3
Figure 7. Calculated Corrosion Products for A Small Amount of Alloy Exposedto a Large Amount of 5% H2, 65% H2, and 30% H2O at One Atma.
N06600
0
20
40
60
80
100
0.1 1 10 100% Steam
P h a s e A m o u n t , M
o l e %
MeS(l) MeS(s)Me2O3 Me3S4
N12160
0
20
40
60
80
100
0.1 1 10 100% Steam
P h a s e A m o u n t , M o l e %
MeS(s) Me2O3 SiO2
N06600
0
20
40
60
80
100
0.01 0.1 1 10H2S, Mole %
P h a s e F r a c t i o n ,
M o l e %
MeS(l) Me2O3 Me3O4
Me3S2(s) Alloy
N12160
0
20
40
60
80
100
0.01 0.1 1 10H2S, Mole %
P h a s e F r a c t i o n ,
M o l e
%
MeS(l) Me2O3 Me3O4Alloy MeS(s) SiO2
Figure 8. Effect of H2S Concentration Upon Formation of Corrosion Products for Some
Alloys Exposed to X H2S, 60% H2, 30% H2O and Bal Ar At One Atma and 648o
C.
N06600
0
20
40
60
80
100
500 600 700Temperature, C
P h a s e A m o u n t , m o l e %
MeS(l) MeS(s) Me2O3
N12160
0
20
40
60
80
100
500 600 700Temperature, C
P h a s e A m
o u n t , m o l e %
MeS(l) MeS(s) Me2O3
Predicting corrosion product formation of some alloys in sulfidizing/oxidizing conditions
The utility to predict formation of alloy corrosion rates and corrosion product formation is now
available, as shown in Figs. 6 - 8. The results compare very well with practical experience. Nickel-
base alloys will form mostly liquid nickel sulfide corrosion products, like N06600. Increasing the
amount of Cr will increase the amount of oxide of a nickel-base alloy (as found in N06025) but will
not prevent the formation of the liquid sulfide. An iron-base stainless, like S30400 does not form
liquid sulfide, but does form mostly solid sulfides. An alloy, like N12160, with low nickel
concentration and high concentrations of Cr and Si forms large concentrations of oxides and liquid
sulfide only at high H2S concentrations and high temperatures, which should be excellent for
resistance to corrosion in these conditions, as is the case for this alloy shown here.
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Conclusions
This paper presents metal loss information for alloys in several types of corrosive environments and
shows how to categorize corrosive environments. The databases contain an extensive set of
corrosion data for commercial alloys and a wide range of exposure conditions at high temperatures.
This study has developed a capability to predict corrosion formation of the basic types of corrosionproducts and the capability to predict alloy corrosion kinetics for wide ranges of conditions.
• Most of the alloys underwent more than 80% of the sound metal loss (total penetration defined
as the sum of sound metal lost by scale formation and internal oxidation) as a result of internal
corrosion or void formation. Surface scale formation generally produced less than 20% of the
total penetration. The large amounts of alloy corrosion data available and reported as weight
change do not describe the sound metal loss is most cases.
• Many of the alloys eventually corrode according to a parabolic dependence with time after times
as long as 1,000 hr.
• Increased temperatures always resulted in more oxidation.
• The influence of P O2 upon alloy oxidation is complex and further work is needed for adequate
understanding.
Acknowledgements
Participation and support by the following organizations are recognized and appreciated: USDepartment of Energy – Office of Industrial Technologies via cooperative agreement DE-FC36-
03ID14505, Shell Global Solutions (US), Humberside Solutions Ltd., Centre for Research in
Computational Thermochemistry in Université de Montréal, Royal Military College of
Canada, Oak Ridge National Laboratory, Materials Technology Institute, Foster Wheeler
Development Corporation, KEMA, Caterpillar, Special Metals Corporation, Texaco, Haynes
International, Usinor Industeel, and Kvaerner Pulping Oy. The experimental testing effort owes itsdeepest gratitude to Owen Kriegel of Shell Global Solutions (US) Inc and research staff at ORNL.
Data contributions from Haynes International, VDM, and Special Metals Corporation are
acknowledged.
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