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*e-mail: quanguozheng@cqu.edu.cn

The Flow Behavior Modeling of As-extruded 3Cr20Ni10W2 Austenitic

Heat-resistant Alloy at Elevated Temperatures Considering the Effect of Strain

Guo-Zheng Quan*, Yuan-ping Mao, Chun-tang Yu, Wen-quan Lv, Jie Zhou

School of Material Science and Engineering, Chongqing University, Chongqing 400044, China

Received: May 23, 2013; Revised: January 16, 2014

In order to investigate the compressive deformation behavior of 3Cr20Ni10W2 alloy, a series of isothermal upsetting experiments were carried out in the temperature range of 1203-1403 K and strain rate range of 0.01-10 s–1 on a Gleeble-1500 thermo-mechanical simulator. The results indicate

that the low stress initially increases to a peak value and then decreases gradually to a steady state. The characteristics of the curves are determined by the interaction of work hardening (WH), dynamic recovery (DRV) and dynamic recrystallization (DRX). The low stress decreases with increasing

temperature and decreasing strain rate. The relationship between microstructure and processing parameters is discussed to give an insight into the hot deformation behavior of 3Cr20Ni10W2 alloy.

Then, by regression analysis for constitutive equation, material constants (n,α, β, A and Q) were

calculated for the peak stress. Further, the constitutive equation along the low curve was developed by utilizing an eighth order polynomial of strain for variable coeficients (including n, α, Α and Q).

The validity of the developed constitutive equation incorporating the inluence of strain was veriied

through comparing the experimental and predicted data by using standard statistical parameters such

as correlation coeficient (R) and average absolute relative error (AARE) that are 0.995 and 4.08% respectively.

Keywords: 3Cr20Ni10W2 austenitic heat-resistant alloy, flow stress, Constitutive equation, material constants, microstructure evolution

1. Introduction

3Cr20Ni10W2 is one of the representative austenitic heat-resisting alloys. It is usually used for marine diesel engine exhaust valves because of its high strength, excellent heat-resistance and corrosion resistance1,2. Determination of

the low behavior for 3Cr20Ni10W2 alloy at hot deformation

condition has a great practical importance, since forming processes such as electric upsetting and forging are often applied for metals manufacture2,3, and process variables

including deformation degree, strain rate and forming

temperature have a signiicant inluence on low behavior

which are represented by constitutive equations4. Moreover,

the constitutive relation is often used to describe the plastic

low properties of the metals and alloys in a form that

can be used in computer code to perform the numerical simulations of forging response under the prevailing loading conditions5,6. In order to establish the optimum processing

variables and realize numerical simulation of forging, it is necessary to investigate the constitutive relationships under hot deformation conditions.

In this regard, many constitutive equations have been

proposed to describe the low behavior of materials based

on the experimental data. Among these equations, the Arrhenius type equation has been widely used to describe

the elevated temperature low behavior of materials7-11. But

the traditional Arrhenius type equation is often insuficient

in accurately predicting the low behavior due to lack of the effect of strain on low stress. By taking the effect of the

strain into account, a developed hyperbolic-Sine Arrhenius

equation has been proposed to predict the low stress of

various metals or alloys7-11. Lin et al.9 revised the traditional Arrhenius type equation by introducing strain-dependent

parameters (including material constants n,α, β, A and Q) into the constitutive equation. The revised model was proved

successful in predicting the low stress of 42CrMo steel. The high accuracy of such model was also veriied in TiAl-Cr-V

alloy by Pu et al.7, Mg-Al4-Z1 alloy by Slooff et al.8, and

A356 aluminum alloy by Haghdadi et al.10. However, few

attentions have been paid to model the hot compression behavior of 3Cr20Ni10W2 alloy with such equation.

In the present work, the object is to characterize the general nature of the inluence of strain, strain rate

and temperature on the compressive flow behavior of 3Cr20Ni10W2 heat-resistant alloy. Toward this end, a series of hot compression tests were carried out at the temperatures of 1203 K, 1253 K, 1303 K, 1353 K and 1403 K, and the strain rates of 0.01 s–1, 0.1 s–1, 1 s–1 and 10 s–1. The effect of

processing parameters including deformation temperature and strain rate on flow stress and microstructure was analyzed. The experimental stress-strain data obtained from the compression tests were used to develop the hyperbolic sine constitutive equation describing the relationship of

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the proper compensation for strain. And then an improved Arrhenius type constitutive equation was constructed to predict the elevated temperature flow behavior for

3Cr20Ni10W2 alloy. Finally, the validity of the theoretical

predictions based on the developed constitutive equation has been examined for the entire experimental range.

2. Experimental Procedure

The material used in this investigation is 3Cr20Ni10W2

heat-resistant alloy, and its chemical composition is (wt. %) C 0.25, Si 1, Cr 20, Ni 10, W 2, Fe (balance). The following

experimental procedures are according to ASTM Standard:

E209-00. Cylindrical specimens with 10mm in diameter and 12mm in height, were machined with lat bottomed

grooves on both ends to retain machine oil mingled with graphite powder as lubricant to reduce interface friction between the tools and specimen. A computer-controlled, servo-hydraulic Gleeble 1500 testing machine was used for the isothermal hot compression tests. Three thermocouples were welded at the mid-span of specimen to provide accurate temperature control and measurement during testing. The specimens were resistance heated to the preset temperature at a heating rate of 1 K/s and held for 3 min to equilibrate the temperature throughout the specimens

by thermo-coupled-feedback-controlled AC current. Then,

the hot compression tests with height reduction of 60%

were performed at temperatures from 1203 to 1403 K at an interval of 50 K and strain rates of 0.01 s–1, 0.1 s–1, 1 s–1

and 10 s–1. As soon as the compressions were completed,

the specimens were rapidly quenched in water to retain the deformed microstructures at elevated temperatures. In order to observe the microstructure evolution of the alloy under different deformation condition, the specimens were axially sectioned and prepared using standard metallographic techniques. The true stress-strain relationships were derived from the nominal stress-strain curves collected according to the following formula: σT = σN(1+εN), εT = ln(1+εN), where σT is the true stress, σN the nominal strain, εT the true strain

and εN the nominal strain12.

3. Results and Discussion

3.1.

True stress and true strain

The true stress-strain curves of 3Cr20Ni10W2 heat-resistant alloy obtained from the hot compression tests at different strain rates and temperatures are illustrated in

Figures 1a-d. By comparing these curves with one another, it is observed that the inluence of strain, temperature and

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strain rate on the low stress is signiicant for all the tested

conditions.

For a certain curve, the low stress increases to a peak

value in the initial stage of the compression, and then

decreases gradually to a steady state. Further, from the experimental results shown in Figure 1a-d, it can be seen

that the curve is composed of three stages13. In the irst

stage, the low stress increases at a declining rate as the softening from dynamic recovery (DRV) becomes higher than the work hardening rate. In the second stage, the low stress exhibits a smaller and smaller increase until a peak value, which shows that the low stress is inluenced by the combination effect of WH and dynamic softening induced by both dynamic recovery (DRV) and dynamic recrystallization (DRX) so that the softening effect

predominates. In the third stage, there are two types of curve variation as follows: decreasing gradually to a steady state as a new balance achieved between dynamic softening and

work hardening (1253-1403 K & 0.01 s–1, 1303-1403 K &

0.1 s–1, 1353-1403 K & 1 s–1), and maintaining higher stress

level without signiicant softening and work-hardening (1203 K & 0.01 s–1, 1203-1253 K & 0.1 s–1, 1203-1303 K

& 1 s–1, 1203-1403 K & 10 s–1). Thus, it can be concluded

that the typical form of low curve with DRX softening including a single peak followed by a steady state low

as a plateau, is more recognizable at high temperatures and low strain rates. Dn the contrary, dynamic recovery is dominant at low temperature and high strain rates. It should be noted that the deformation resistance increases with the decrease of deformation temperatures for a given strain rate and decreases with the increase of strain rates for a given deformation temperature; the strain softening phenomenon are more obvious by decreasing strain rates for a given deformation temperature or increasing deformation temperatures for a given strain rate14.

3.2.

Relationship between the process variables

and flow behavior

The variation of peak low stress with tested temperatures and strain rates can be seen more clearly in Figure 2, where

the low stress at peak strain is plotted as a function of the

deformation temperature and the logarithm of the strain

rate for all deformation conditions in Figure 2(a) and (b), respectively. Figure 3 and Figure 4 show the microstructure

at different temperatures and strain rates of 3Cr20Ni10W2 alloy.

3.2.1. Effect of the temperature

The peak low stress decreases continuously as the

deformation temperature rises at a given strain rate as seen

from Figure 2a. The reason is that the thermal activation of

metal atoms rises with increasing deformation temperature, leading to the more rapid motion of dislocations and vacancies. Thus, the dislocations climb increases, inducing the enhanced dynamic recovery and diminishing flow stresses15.

The effects of deformation temperature on the evolution of microstructure can be seen clearly from these optical

micrographs in Figure 3. The initial microstructure of

3Cr20Ni10W2 heat-resisting alloy consists of rough equiaxed grains with a large quantity of twin boundaries as

shown in Figure 3a. Figure 3b-f shows the microstructure

of 3Cr20Ni10W2 heat-resisting alloy in temperature range of 1203 K, to 1403 K and at strain rate of 0.01 s–1, and

the equiaxed grains can be easily identiied under these

deformation conditions, which implied the occurrence of

DRX. With the increasing of deformation temperature,

dynamic recrystallization becomes noticeable and large-scale. Meanwhile, more and more deformed metal transforms to recrystallized microstructure due to higher

mobility of grain boundaries (growth kinetics), and all

the grains tend to be more and more homogeneous due to stronger adaptivity for grain boundary migration.

Furthermore, when the deformation temperature increased to

1403 K, the size of recrystallized grains increased obviously

as shown in Figure 3f. From the above analysis, it is known that the recrystallization becomes easier to take place and

accordingly, the dynamic softening effect becomes intense

as the deformation temperature increases. Thus, the low

stress decreases with the increasing deformation temperature due to dynamic recrystallization.

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Figure 3. Microstructures at a strain rate of 0.01 s–1 and temperatures of (a) as-received; (b) 1203 K; (c) 1253 K; (d) 1303 K; (e) 1353

K and (f) 1403 K.

3.2.2. Effect of strain rate on low stress

The effect of deformation strain rates on the flow behavior for 3Cr20Ni10W2 alloy at given temperatures

was analyzed by plotting the peak low stresses as shown in Figure 2b. Peak low stress and steady state low stress at

a given temperature increase with the increasing strain rate. The dislocation generation, multiplication and intersection

rise quickly at higher strain rates, due to the increasing

of deformation in unit time. While there is more time for

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to the annihilation of dislocation13. Therefore, the dislocation

density increases as the strain rate increases, due to which

the low stress increases.

Two types of variant tendencies of the true stress-strain curves with the increasing of strain are exhibit when the true

strain exceeds the peak value. The curves drop sharply and then reach nearly steady stress at lower strain rates (.

1

1s

ε),

while the curves drop rapidly at higher strain rates and do

not reach steady state ( 1

10s− ≤ 

ε ). The reason is that at lower strain rates, work-hardening due to the multiplication of dislocation and DRX softening due to the annihilation of dislocation can reach a state of balance, and low stress will keep constant with the increasing strain. Meanwhile

deformation comes in a steady state in which complete

DRX grains reach equiaxed shape and keep constant size.

While at higher strain rates, the curves drop continuously

and do not reach the steady low which is resulted from the uninished dynamic balance.

The microstructure of 3Cr20Ni10W2 alloy at a deformation temperature of 1403 K, height reduction of

60% and strain rates ranging from 0.01 s−1 to 10 s−1 is

illustrated in Figure 3f and Figure 4. The results show that

the size of recrystallised grains decreases with the increasing strain rates. The reason is that the reduction of deformation time restrains the dislocation annihilation, leading to the increasing of nucleation rate, and the growth of recrystallised grains is restrained by the more rapid nucleation. In addition, the microstructure exhibits that more and more deformed metal transformed to recrystallized microstructure with the deceasing of strain rate. At the strain rates of 0.01 s–1 and

0.1 s–1, the microstructures reveal complete recrystallized

microstructure and with strain rate decreasing, recrystallized

grains are prone to coarsening as shown in Figure 3f and Figure 4a. According to the microstructure analysis, dynamic recrystallization becomes easier to take place with the decreasing of strain rate. Thus, the low stress decreases

as the strain rate decreases.

4. Constitutive Equation of the Flow Stress

In the past, several constitutive equations have been proposed to predict hot deformation behavior of steels and alloys. The most frequently used one is Arrhenius

type equation which correlates the low stress (σ) with temperature (T). Further, the inluence of the temperatures

and strain rate on the low behavior can be represented by Zener-Hollomon parameter, Z, in an exponent-type equation16-18. The two equations are mathematically expressed as:

Z=εexp(Q RT ) (1)

AF( ) ( Q RT )

ε= σexp− (2)

Where,

n

n

.

F( ) exp( ) .

σ ασ

σ βσ ασ

ασ σ

<

= >

 

0 8 1 2

[sinh( )] for all

In the above equations, ε is the strain rate (s–1), R is the

universal gas constant (8.31J·mol–1·K–1), T is the absolute

temperature (K), Q is the activation energy (kJ·mol–1), σ is

the low stress (MPa), A, α and n are the material constants, α = β/n.

4.1.

Determination of constitutive equation for

peak strain

(1) Calculation of material constants n, α and β at the peak stress

For the low stress level (ασ < 0.8), taking natural

logarithms on both sides of Equation 2, the following equation can be obtained:

lnε = lnA+nlnσ −Q RT (3)

For the high stress level (ασ < 1.2), taking natural

logarithms on both sides of Equation 2 gives:

lnε = lnA+ βσ −Q RT (4)

According to Equations3 and 4, n=dln / dlnε σ and

= dln / d

β ε σ . Then, the linear relationships of lnσp−lnε

and σp- lnε for peak strain at all temperatures were itted as shown in Figure 5. The lines at different temperatures are

almost parallel to each other. The inverse of the slopes of Figure 4. Optical microstructures at a ix true strain of 0.9, a ix temperature of 1403K and different strain rates (a) 0.01 s–1; (b) 0.1 s–1;

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straight lines in lnσp- lnε and σp- lnε plots is accepted as the values of material constants n and β at each tested temperature. Thus the values of n and β at peak strain were obtained by averaging the inverse of slopes under different

temperatures, and they were found to be 6.9448 and 0.0315,

respectively. Thus, the value of α = β/n=0.00454.

(2) Calculation of activation energy Q

Taking natural logarithms on both sides of Equation 2

gives:

[

]

lnε= {lnA+n ln sinh(ασ) − }Q RT (5)

For the given strain rate ε, there is a linear relationship between ln sinh(ασ) and 1/T, and Equation 5 can be rewritten as

[

]

{

d ln sinh( ) d(1 / )

}

Q=Rn ασ T (6)

Under different strain rates, the linear relationships between ln sinh(ασp) and 1/T were itted as in Figure 6a. It is apparent that slopes of the lines at different strain rates are nearly similar with each other. And the average value of all the slopes was accepted as Q/Rn value. Then, at peak strain, Q value was found to be 656.86052 kJ·mol–1. This value of Q is a little higher than the conventional AISI 304N and 316 stainless steel under the similar conditions, which is about

400 kJ·mol–1[19-21]. This is mainly due to that the Q value of a stainless steel is determined by the material’s chemical compositions. 3Cr20Ni10W2 is one of high alloys with more proportion strengthening elements including Cr, Ni, W and Si than the AISI 304N and 316 stainless steel. The activation

energy of DRX is a term deined as the energy barrier that

must be overcomed for the nucleation and growth of new surface or grain boundary to occur. The presence of alloying elements hinders the diffusion of other elements and the movements of dislocations, grain and subgrain boundaries in the process of recrystallization, which in turn can improve the activation energy of hot deformation22.

For each temperature T, there is a linear relationship between ln sinh(ασp) and lnε as shown in Figure 6b.

The itted lines are almost parallel to each other The mean

value of all the slopes was value of 1/ n(Q /RT – ln A) Then substituting into it values of α, n and Q provide A =

2.5814×1025 s–1.

(3) Construction of constitutive equation for peak strain

The relationship between ε, T and σ can be rewritten as:

25 6.9448 3

2.5814 10 [sinh(0.00454 )] exp( 656.860 10

ε= × σ − × (7)

substituting Z exp 656 8605 10. 25

RT

ε  × 

=  

 

 into Equation 7, thus, the

low stress can be expressed as:

1

1 2 2

256.9448 256.9448 220.26 ln (Z 2.5814 10 ) (Z2.5814 10 ) 1 σ

 

 

 

=  × + × +

 

 

(8)

From Equation 8, it can be seen that the Z parameter increases with the decreasing of deformation temperature

and increasing of strain rate, and the low stress increases

as Z parameter increases. The recrystallized microstructure

and low behavior depends on the deformation conditions

of temperature and strain rate, and thus on the Z parameter.

Decreasing of Z, that is increase of deformation temperature

and decrease of strain rate, leads to more extensive DRX.

Accordingly, the dynamic softening is more intensive.

4.2.

Constitutive equations compensated for

strain

As discussed above, the effect of strain on stress are not

considered in Equations 1 and 2. However, inluence of strain on material constants is signiicant9,10,23 . Hence, in order to

accurately predict the low behavior of 3Cr20Ni10W2

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by expressing the variable coeficients (including Q, n,a and A) as polynomial functions of strain. In the present work, the values of material constants in Arrhenius type equation were evaluated at different deformation strains within the range of

0-0.9 at intervals of 0.05. These values were then used to it the polynomial functions (Figure 7), and the variation of Q, ln A,n and α with true strain ε for 3Cr20Ni10W2 alloy could be represented by a eighth order polynomial respectively,

as shown in Equation 9. The polynomial itting results of

Q, ln A,n, and α are given in Table 1.

ln ln

2 3 4 5 6 7 8

0 1 2 3 4 5 6 7 8

2 3 4 5 6 7 8

0 1 2 3 4 5 6 7 8

2 3 4 5 6 7 8

0 1 2 3 4 5 6 7 8

2 3 4 5 6 7 8

0 1 2 3 4 5 6 7 8

Q j( ) B B B B B B B B B

n h( ) C C C C C C C C C

A f ( ) D D D D D D D D D

g( ) E E E E E E E E E

ε ε ε ε ε ε ε ε ε

ε ε ε ε ε ε ε ε ε

ε ε ε ε ε ε ε ε ε

α ε ε ε ε ε ε ε ε ε

 = = + + + + + + + +

 = = + + + + + + + +

= = + + + + + + + +

= = + + + + + + + +

   

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Figure 6. Relationships between: (a) ln sinh(ασp) and 1/T; (b) ln sinh(ασp) and lnε.

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Substituting α, n, Q and A in Equation 9 into Equation 2 gives the relationships between ε, T and σ as following:

( )

( ){sinh[ ( ) ]}h exp( ( ) / 8.31 )

f g j T

ε= ε ε σ ε × ε (10)

Thus, Z=εexp

[

j( ) .ε 8 31T

]

. Furthermore, the flow

stress, σ, can be written as a function of Z parameter,

substituting the deinition of the hyperbolic law can provide:

1

1 2 2

1

ln (Z A)n (Z A)n 1

σ α

 

 

 

=  + +

   

 

 

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substituting α, n, Q, ln A and Z into it Equation 11, the

developed Arrhenius constitutive equation for low behavior of 3Cr20Ni10W2 alloy in a wide strain range of 0-0.9 can

be expressed as Equation 12.

[ ] [ ]

1

1 2 2

( ) ( )

exp ( ) 8.31 exp ( ) 8.31 1

ln ( ) ( ) 1

( ) ( ) ( )

h h

j T j T

g f f

ε ε ε ε

σ

ε ε ε ε

 

 

 

= ε  + +

 

 

  (12)

Where f (ε), g (ε), h (ε) and j (ε) are the polynomial functions of ln A, α, n and Q at different true strains, and

their expressions are as shown in Equation 9 and Table 1.

4.3.

Verification of the developed constitutive

equation

Figure 8 shows comparisons between the experimental

flow curves and the predicted results calculated from

the developed constitutive equations (considering the compensation of strain) at the temperatures of 1203 K,

1253 K, 1303 K, 1353 K and 1403 K, and the strain rates of 0.01 s–1, 0.1 s–1, 1 s–1 and 10 s–1. The predicted results are

well in agreement with the experimental values. In order to further evaluate the accuracy of the improved constitutive equation, standard statistical parameters such as correlation

coeficient (R) and average absolute relative error (AARE) are employed24,25, which are expressed as following:

i i

i i

i

M p

M p

N

i i

M p

M p

N N

( )( )

R

( ) ( )

σ σ σ σ

σ σ σ σ

=

= =

− −

=

− −

∑ ∑

1

1 2 1 2 (13)

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i i

i

N M p

i M

AARE(%) %

N

σ σ

σ

=

= ∑ ×

1

1

100 (14)

In which, σM is the experimental data and σp is the predicted value obtained from the constitutive equation.

σM and σp are the mean values of σM and σp, respectively.

N is the number of data employed in the investigation.

The correlation coeficient R is commonly employed to provide information about the strength of linear relationship between the measured and the calculated values. The

average absolute relative error (AARE), which is often used

to measure the predictability of a constitutive equation, is also computed through a term-by-term comparison of the relative error.

R-value is calculated as 0.995. Meanwhile, as shown

in Figure 9, there is a good correlation between the

experimental data and predicted values predicted by the

developed Arrhenius type equation. The other standard statistical parameter, AARE=4.08%, further relects the good predictability of the improved constitutive equation.

5. Conclusions

The low behavior of 3Cr20Ni10W2 alloy have been

investigated by means of hot compression tests in the temperature range of 1203-1403 K and the strain rate range of 0.01-10 s–1. The contents are listed as following:

• The low stress increases rapidly to a peak value

in a small strain, and then decreases gradually to a

steady state until much higher strain, showing work

hardening and dynamic softening coexists during hot

deformation. The low behavior typically exhibited work hardening at the initial stage, then followed by dynamic softening due to DRV/DRX;

• The low stress decreases with increasing temperature

and decreasing strain rate, which can be described by

a Zener-Hollomon parameter in an exponential type function. Decreasing of Z, from the increasing of temperature and decreasing strain rate, leads to more

extensive of DRV and DRX;

• The effect of strain was incorporated in a novel

constitutive equation by expressing the material

constants (including Q, n,α, and A) as polynomial functions of strain. An eighth order polynomial was suitable to provide a very good correlation;

• The comparisons between the experimental and

predicted results show that the two values agreed well with each other throughout the entire experimental

range. Further, the values of R and AARE were

determined to be 0.995 and 4.08%, respectively.

Acknowledgements

This work was supported by the Fundamental Research Funds for the Central Universities (CDJPY12130001).

Table 1. Polynomial itting results of Q, n, ln A, and α of 3Cr20Ni10W2 alloy.

Q(KJ) n ln A α

B0 1412.935 C0 14.297 D0 130.349 E0 5.266

B1 –15062.484 C 1 –192.193 D 1 –1432.610 E 1 –9.324

B2 132589.938 C 2 1673.660 D 2 12583.389 E 2 52.670

B3 –647327.386 C 3 –8064.572 D 3 –61273.071 E 3 –182.396

B4 1.864E6 C 4 23120.881 D 4 176160.403 E 4 504.786

B5 –3.258E6 C 5 –40386.571 D 5 –307513.349 E 5 –977.292

B6 3.396E6 C 6 42156.082 D 6 320366.422 E 6 1166.278

B7 –1.942E6 C 7 –24152.987 D 7 –183116.203 E 7 –762.116

B8 468636.323 C 8 5841.327 D 8 44185.280 E 8 210.366

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