Home A Strain-Compensated Constitutive Model for Describing the Hot Compressive Deformation Behaviors of an Aged Inconel 718 Superalloy
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A Strain-Compensated Constitutive Model for Describing the Hot Compressive Deformation Behaviors of an Aged Inconel 718 Superalloy

  • Ying Zhou EMAIL logo , Xiao-Min Chen and Shengfeng Qin
Published/Copyright: December 15, 2018

Abstract

The hot deformation behaviors of an aged Inconel 718 superalloy are investigated by isothermal compression experiments at four strain rates and five deformation temperatures on a Gleeble-3500 thermo-mechanical simulator. The experimental results show that the true stresses are obviously affected by strain rate and deformation temperature. The true stress increases rapidly at the beginning of hot compressive deformation, which ascribes to the intense work hardening. The true stresses at high deformation temperatures are lower than those at lower deformation temperatures. The dynamic softening induced by DRX is weak at a relatively low deformation temperature. A strain-compensated Arrhenius-type constitutive equation linked with true stress, strain rate and deformation temperature is developed for the studied superalloy. The material constants (α, n, Q and A) in the developed model are expressed as the functions of true strain. The flow stresses calculated by the developed constitutive equation are nicely consistent with the experimental ones, which confirms that the developed constitutive equation can accurately describe the hot deformation behaviors of the studied superalloy.

Introduction

Deformation behaviors of alloys in high temperature forming processes (hot rolling, forging and extrusion) are often complicated, and difficult to accurately describe [1]. It is recognized that the deformation temperature and strain rate play huge impacts on the mechanisms of work hardening, as well as dynamic softening induced by dynamic recrystallization (DRX) [2, 3, 4, 5] or dynamic recovery (DRV) [6, 7, 8, 9, 10]. The constitutive models link with flow stress, temperature and the strain rate, mathematically represents the flow properties of alloys. Generally, it is necessary to establish suitable constitutive model to analyze deformation responses of alloys under specific load conditions [1, 6, 11]. To accurately describe the hot deformation behaviors of alloys, a great number of researchers have focused on the development of constitutive models [1, 12]. Lin et al. [13] developed a strain-compensated Arrhenius-type constitutive equation to describe relationship between flow stress and deformation parameters (deformation temperature and strain rate) for a 42CrMo steel. Also, similar constitutive models were established to describe the flow behaviors of various alloys [5, 14, 15, 16, 17]. Compared with other models such as Zerilli-Armstrong, the stain-compensated Arrhenius-type constitutive model can more accurately describe the flow behavior of alloys [1, 13]. Recent researches combine with some typical intelligent method such as artificial neural network (ANN), support vector regression model, and deep belief networks, which are also popular in predicting deformation behavior [8, 18, 19, 20, 21].

Inconel 718 superalloy, as a typical nickel-base superalloy, is extensively applied in aerospace and energy industries, due to its superior mechanical properties. Moreover, its good workability makes forging and welding easy [22, 23, 24, 25, 26, 27]. For Inconel 718 superalloy, Arrhenius-type constitutive equations were also used to describe hot deformation behaviors [16, 28]. Azarbarmas et al. [29] improved Arrhenius-type equation by multivariable regression. Lin et al. [29] developed the constitutive formulas for Inconel 718 superalloy to characterize the high-temperature deformation behavior at both dynamic softening and work hardening stages.

Although, some constitutive models have been developed to describe the hot deformation behaviors of superalloys, the further investigations on the hot compressive deformation behavior are still needed to optimize the hot forming parameters. In this study, isothermal compression tests are conducted to investigate the hot deformation behavior of an aged Inconel 718 superalloy. A strain-compensated Arrhenius-type constitutive model is established to predict the flow stress. In addition, the error analysis for the established constitutive equation is also analyzed.

Materials and experiments

A commercial Inconel 718 superalloy was employed in this study. Its chemical compositions (wt. %) were shown in Table 1. Cylinder specimens with size of Φ8mm×12mm were cut from the forged billet. Before the compression, the samples were solution-treated for 45 min at 1,040 °C, and then quenched by water. Afterwards, the solution-treated samples were aged at 900 °C for 6 h, followed by water quenching. Isothermal compression experiments were carried out on a Gleeble-3500 thermal mechanical simulator. Four strain rates (0.001, 0.01, 0.1, and 1 s−1) and five deformation temperatures (920 °C, 950 °C, 980 °C, 1,010 °C, and 1,040 °C) were chosen according to the industry forming process of the studied superalloy. The deformation degree (height reduction of the initial samples) was 60 % height of the initial samples. Prior to the hot compressive deformation, the specimens were heated to the designed deformation temperature a rate of 10 °C/s, and maintained for 300 s to ensure the uniform temperature distribution. Thin tantalum foil (0.1 mm) was placed between the specimen and dies to reduce the friction and avoid the adhesion. The true stress and strain were automatically obtained by the test system.

Table 1:

The chemical composition of the studied Inconel 718 superalloy (wt. %).

CompositionsNiCrNbMoTiAlCoCFe
Content (wt. %)52.8018.965.233.011.000.590.010.03Bal.

Results and discussion

Flow characteristics

Figure 1 shows the relationship between the true stress and true strain. Clearly, it indicates that the true stresses are susceptible to the deformation temperature and strain rate. The true stress increases rapidly at the beginning of deformation. Afterwards, it progressively decreases until a fairly steady state appears. The feature of the true stress–strain curves can be ascribed to the intense competition between the work hardening and dynamic softening (caused by DRV and DRX) mechanisms [3, 4, 7, 30]. At the incipient deformation stage, the multiplication and accumulation of dislocation stimulate the intense work hardening in the deformed block. However, the dynamic recovery induced by dislocation climb and cross-slip is too weak to neutralize the work hardening [7, 10, 12, 31]. Thus, the true stress rapidly rises with the increase of true strain. Once the accumulated dislocation density exceeds the critical strain for DRX, the nucleation and growth of DRX grains proceed, which cause the annihilation and rearrangement of dislocation, and the work hardening is weaken. Especially, DRX plays the dominant role on dynamic softening after the peak stress [21, 24, 32]. Therefore, the true stress is continuously decreased. At a relatively large strain, the true stress keeps an almost steady state, which is attributed to a new balance between the work hardening and dynamic softening. From Figure 1a, it is noteworthy that the true stress increases as the strain rate is raised at a fixed deformation temperature. The reason is that high dislocation density caused by work hardening at high strain rates can lead to the large deformation resistance [33]. In the meantime, as shown in Figure 1b, the true stresses at high deformation temperatures are lower than those at lower deformation temperatures. This is because low deformation temperature hinders the grain boundary mobility, as well as the nucleation and growth of dynamic recrystallization [34]. So, the softening induced by DRX is weak at a relatively low deformation temperature [7, 35].

Figure 1: Typical illustrated true stress–strain curves of the studied superalloy at: (a) T=920 °C and (b) ε˙=1s−1\dot \varepsilon = 1\,{{\rm{s}}^{ - {\rm{1}}}}.
Figure 1:

Typical illustrated true stress–strain curves of the studied superalloy at: (a) T=920 °C and (b) ε˙=1s1.

Determination of the material constants

Arrhenius-type equation is usually applied to depict the inner connection of true stress, strain rate and deformation temperature. Meanwhile, the Zener-Hollomon parameter is widely used to demonstrate the coupled influence of deformation temperature and strain rate on the hot deformation behaviors [36].

(1)Z=ε˙expQRT

According to eq. (1), the strain rate can be expressed as the function of true stress and the deformation temperature, i. e.

(2)ε˙=AFσexpQRT,

where

(3)F(σ)={σn1ασ0.8exp(βσ)ασ1.2,[sinh(ασ)]nfor all σ    

whereε˙ represents the strain rate (s1), σ means the true stress (MPa), R is the universal gas constant (R=8.31Jmol1K1), T refers to the deformation temperature (K), and Q is the apparent deformation activation energy (kJmol1). n implies the stress exponent, A, α and n1 are the material constants, where α=β/n1. Generally nn1, although n=n1 occurs at a certain α.

For the low-level stress (ασ<0.8), the strain rate can be obtained by eq. (1):

(4)ε˙=A1σn1expQRT,forασ<0.8.

For the high-level stress (ασ>1.2), the strain rate can be expressed as

(5)ε˙=A2expβσexpQRT,ασ>1.2,α=β/n1,

where material constants A1 and A2 are independent to the deformation temperatures.

To calculate the above parameters, the true stress–true strain data obtained from isothermal compression experiments with the strain rate ranging from 0.001 to 1 s−1 and deformation temperature ranging from 1,193 to 1,313 K (920–1,040 °C) are applied.

Logarithmic form of each side of eqs. (4) and (5), gives,

(6)lnε˙=lnA1+n1lnσQ/(RT),
(7)lnε˙=lnA2+βσQ/(RT).

Afterwards, true stresses σand associated strain rates ε˙ at a selected deformation strain of 0.4 are substituted into eqs. (6) and (7). Then n1 can be obtained from the slope of lnε˙lnσ, and β is identified from the slope of lnε˙σ. In order to determine the values of Q, A and α, the parameters n1and β can be defined as,

(8)n1=lnε˙lnσT=lnσlnε˙T1,
(9)β=lnε˙σT=σlnε˙T1.

Figure 2 shows relationship of true stresses and strain rate at true strain of 0.4. Then the parameters n1 and β can be identified from the slops of lnσlnε˙ and σlnε˙, respectively. Here n1 and α are 5.347 and 0.0416 MPa−1.

Figure 2: Relationships between: (a) lnσ\ln \sigma  ~ lnε˙\ln \dot \varepsilon ; (b) σ\sigma  ~ lnε˙\ln \dot \varepsilon .
Figure 2:

Relationships between: (a) lnσ ~ lnε˙; (b) σ ~ lnε˙.

For all the stress level, eq. (2) can be written as:

(10)ε˙=AsinhασnexpQ/RT.

Taking logarithm of each side of eq. (10) gives

(11)lnε˙=RTlnAQRT+nlnsinhασ.

Figure 3a illustrates lnsinhασ and lnε˙ plot. Visibly, there is a linear relationship between lnsinhασ and lnε˙. Thus, n can be easily determined by eq. (12) as 3.948.

(12)n=lnε˙lnsinhασT=lnsinhασlnε˙T1.
Figure 3: Relationships between: (a) lnsinhασ\ln \left[ {\sin \,{\rm h}\left( {\alpha \sigma } \right)} \right]~lnε˙\ln \dot \varepsilon ; (b) lnsinhασ\ln \left[ {\sin \,{\rm h}\left( {\alpha \sigma } \right)} \right]~T−1{T^{ - 1}}.
Figure 3:

Relationships between: (a) lnsinhασ~lnε˙; (b) lnsinhασ~T1.

Differentiating eq. (10) gives,

(13)Q=Rnlnsinhασ1/Tε˙

The value of activation energy Q can be obtained from the slopes of lnsinhασ1/T plot (Figure 3b), and Q is identified as 450.977kJmol1.

For all the stress level, eq. (1) can be represented as the following,

(14)Z=ε˙expQRT=Asinhασn.

According to eq. (14), the true stress (σ) can be rewritten as a mathematical function with independent variable of Zener–Hollomon. Thus, the proposed constitutive model can be revised as:

(15){σ=1αln{(ZA)1/n+[(ZA)2/n+1]1/2}Z=ε˙exp(QRT).

The logarithm conversion of each side of eq. (14) can be expressed as,

(16)lnZ=lnA+nlnsinhασ.

According to measured true stress-strain data, the correlation between lnZ and ln[sinh(ασ)] can be depicted in Figure 4. Thus, A can be estimated as 9.661×1016 s−1. Accordingly, n can be re-determined as 3.893.

Figure 4: Relationship between lnZ\ln Z and lnsinhασ\ln \left[ {\sinh \left( {\alpha \sigma } \right)} \right].
Figure 4:

Relationship between lnZ and lnsinhασ.

Summarily, the constitutive equation of Inconel 718 superalloy can be expressed as,

(17)ε˙=A[sinh(ασ)]nexp(QRT)=9.661×1016×[sinh(0.00416×σ)]3.893exp(451.977RT).

Using the similar procedure, the material constants (α,n,Q,A) can be obtained at different strains. The range of deformation strains is chosen from 0.03 to 0.6 at an interval of 0.038. Then, the relationship between α,n,Q,lnAand strain for the studied superalloy (Figure 5) can be identified by the fitting method, i. e.

(18){α=B0+B1ε+B2ε2+B3ε3+B4ε4+B5ε5n=C0+C1ε+C2ε2+C3ε3+C4ε4+C5ε5Q=D0+D1ε+D2ε2+D3ε3+D4ε4+D5ε5lnA=E0+E1ε+E2ε2+E3ε3+E4ε4+E5ε55,
Figure 5: Relationships between (a) a; (b) n; (c) Q; (d) ln A and true strain by polynomial fit of Inconel 718.
Figure 5:

Relationships between (a) a; (b) n; (c) Q; (d) ln A and true strain by polynomial fit of Inconel 718.

where the material constants of α,n,Q,lnA are given in Table 2.

Table 2:

The values of α,n,Q,lnAfor the studied superalloy.

α(MPa−1)nQ (kJ/mol)ln A (s−1)
B00.01C06.16D0518.10E044.12
B1−0.04C1−22.34D1−1,048.34E1−87.09
B20.20C2111.46D28,302.94E2744.09
B3−0.54C3−308.90D3−29,517.00E3−2,727.12
B40.71C4426.90D446,059.40E44,312.86
B5−0.37C5−227.65D5−26,205.30E5−2,470.56

Verification of the developed constitutive equations

The true stresses of measured and predicted are compared, as shown in Figure 6. Remarkably, there is a satisfied accordance between measured and predicted stress. So, the established constitutive model is reliable to describe the hot deformation behaviors of the studied superalloy. The relative error between the predicted and measured true stresses is counted by eq. (19),

(19)error=σPσMσM×100%,
Figure 6: Comparisons between predicted and measured true stresses of the studied superalloy at the deformation temperatures of: (a) 920 °C; (b) 950 °C; (c) 980 °C; (d) 1010 °C; (e) 1040 °C.
Figure 6:

Comparisons between predicted and measured true stresses of the studied superalloy at the deformation temperatures of: (a) 920 °C; (b) 950 °C; (c) 980 °C; (d) 1010 °C; (e) 1040 °C.

where σP denotes the predicted stress, and σM means measured true stress. Standard deviation is calculated by eq. (20),

(20)S.D.=Nx2x2NN1,

where N is the number of samples, x is the average of relative errors.

Table 3 exhibits the error evaluating for the established model. It can be seen that the maximum average relative error of estimating the true stress is 2.49 %, and the maximum standard deviation of relative errors is 12.48 %, which occurs at the relatively low deformation temperatures and high strain rates, such as 920 °C and 1s1. The larger deviations are related to the weak dynamic recovery at high strain rates. The previous investigation [37] indicates that the stacking fault energy is low for the studied superalloy. Accordingly, the mobility of dislocations reduces the mobility of dislocations and the DRV rate is lowered. Particularly, there is no sufficient time for the dislocation climb and cross slip. So, the actual DRV rate is lower than that of the predicted one. Thus, there is a relatively large deviation between the predicted and experimental true stresses at the high strain rates and low deformation temperatures. However, at other tested conditions, the developed constitutive model can give an accurate estimation of the true stress for the studied superalloy. So, it can be applied to the actual hot forming process.

Table 3:

Error analysis of predicted (σP) and measured true stress (σM).

Strain rate (s−1)Maximum average relative error (%)Standard deviation (%)
0.001−0.099.33
0.01−0.295.99
0.1−1.892.61
12.4912.48

Conclusions

The deformation characteristics of Inconel 718 superalloy are investigated by hot compression tests at wide ranges of deformation temperature and strain rate. Some remarkable conclusions can be summarized as:

  1. The true stresses are susceptible to the deformation temperature, strain rate and strain. The true stress increases rapidly at the beginning of deformation, which ascribes to the intense work hardening. The true stresses at high deformation temperatures are lower than those at lower deformation temperatures. The dynamic softening induced by DRX is weak at a relatively low deformation temperature.

  2. A strain-compensated Arrhenius-type constitutive equation is developed to predict the flow stress of studied superalloy. In the established model, the material constants (α, n, Q and A) are expressed as the functions of true strain.

  3. A nice agreement between the experimental and predicted true stresses indicates that the developed constitutive equation can reliably describe the hot deformation behavior of the studied superalloy.

Acknowledgements

This work was supported by financial support from the program of China Scholarships Council (Grant No. 201706375019), Natural Science Foundation of Hunan Province (Grant No. 2017JJ3326), Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, College of Hunan Province (Grant No. 2016KF1603), National Postdoctoral Program for Innovative Talents (No. BX201600193), Postdoctoral Science Foundation (No. 2017M612579), Scientific Research Fund of Hunan Province Education Department (No. 17B009), and the scholarship under the State Scholarship Fund managed by the China Scholarship Council (No. 201706375019).

References

[1] Y.C. Lin and X.M. Chen, Mater. Des., 32 (2011) 1733–1759.10.1016/j.matdes.2010.11.048Search in Google Scholar

[2] D. Samantaray, S. Mandal and A.K. Bhaduri, Mater. Des., 31 (2010) 981–984.10.1016/j.matdes.2009.08.012Search in Google Scholar

[3] D.X. Wen, Y.C. Lin and Y. Zhou, Vacuum, 141 (2017) 316–327.10.1016/j.vacuum.2017.04.030Search in Google Scholar

[4] Y.X. Liu, Y.C. Lin and Y. Zhou, Mater. Sci. Eng. A, 691 (2017) 88–99.10.1016/j.msea.2017.03.039Search in Google Scholar

[5] Y.Q. Jiang, Y.C. Lin, X.Y. Zhang, C. Chen, Q.W. Wang and G.D. Pang, Vacuum, 156 (2018) 187–197.10.1016/j.vacuum.2018.07.034Search in Google Scholar

[6] Y.C. Lin, J. Huang, H.B. Li and D.D. Chen, Vacuum, 157 (2018) 83–91.10.1016/j.vacuum.2018.08.020Search in Google Scholar

[7] Y.C. Lin, F. Wu, Q.W. Wang, D.D. Chen and S.K. Singh, Vacuum, 151 (2018) 283–293.10.1016/j.vacuum.2018.02.034Search in Google Scholar

[8] D.X. Wen, Y.C. Lin, X.H. Li and S.K. Singh, J. Alloy. Compd., 764 (2018) 1008–1020.10.1016/j.jallcom.2018.06.146Search in Google Scholar

[9] Y.C. Lin, S.C. Luo, L.X. Yin and J. Huang, J. Alloy. Compd., 739 (2018) 590–599.10.1016/j.jallcom.2017.12.278Search in Google Scholar

[10] D.G. He, Y.C. Lin, J. Huang and Y. Tang, Adv. Eng. Mater., 20 (2018) 1800129.10.1002/adem.201800129Search in Google Scholar

[11] Y.C. Lin, S.C. Luo, X.Y. Jiang, Y. Tang, M.S. Chen and T. Nonferr, Metal Soc., 28 (2018) 592–603.Search in Google Scholar

[12] Y.C. Lin, W.Y. Dong, M. Zhou, D.X. Wen and D.D. Chen, Mater. Sci. Eng. A, 718 (2018) 165–172.10.1016/j.msea.2018.01.109Search in Google Scholar

[13] Y.C. Lin, M.S. Chen and J. Zhong, Comput. Mater. Sci., 42 (3) (2008) 470–477.10.1016/j.commatsci.2007.08.011Search in Google Scholar

[14] S. Kumar, D. Samantaray, U. Borah and A.K. Bhaduri, Trans. Indian Inst. Met., 70 (2017) 1857–1867.10.1007/s12666-016-0990-9Search in Google Scholar

[15] G.Z. Quan, J. Liu, A. Mao, B. Liu and J.S. Zhang, High Temp. Mater. Proc., 34 (2015) 643–650.10.1515/htmp-2014-0108Search in Google Scholar

[16] H.B. Li and Y.L. Feng, High Temp. Mater. Proc., 35 (2016) 55–64.10.1515/htmp-2014-0173Search in Google Scholar

[17] S. Mandal, V. Rakesh, P.V. Sivaprasad, S. Venugopal and K.V. Kasiviswanathan, Mater. Sci. Eng. A, 500 (2009) 114–121.10.1016/j.msea.2008.09.019Search in Google Scholar

[18] D.G. He, Y.C. Lin, J. Chen, D.D. Chen, J. Huang, Y. Tang and M.S. Chen, Mater. Des., 154 (2018) 51–62.10.1016/j.matdes.2018.05.022Search in Google Scholar

[19] Y.C. Lin, J. Li, M.S. Chen, Y.X. Liu and Y.J. Liang, Neural Comput. Appl., 29 (2018) 1015–1023.10.1007/s00521-016-2635-7Search in Google Scholar

[20] L. Li and L. Wang, High Temp. Mater. Proc., 37 (2018) 411–424.10.1515/htmp-2016-0234Search in Google Scholar

[21] D.D. Chen, Y.C. Lin, Y. Zhou, M.S. Chen and D.X. Wen, J. Alloy. Compd., 708 (2017) 938–946.10.1016/j.jallcom.2017.03.029Search in Google Scholar

[22] M.S. Chen, Y.C. Lin, K.K. Li and J. Chen, Appl. Phys. A, 122 (2016) 869.10.1007/s00339-016-0371-6Search in Google Scholar

[23] Y.X. Liu and Y.C. Lin, High Temp. Mater. Proc. (2018). doi: 10.1515/htmp-2017-0096.Search in Google Scholar

[24] D.G. He, Y.C. Lin, X.Y. Jiang, L.X. Yin, L.H. Wang and Q. Wu, Mater. Des., 156 (2018) 262–271.10.1016/j.matdes.2018.06.058Search in Google Scholar

[25] Y.C. Lin, H. Yang, Y.C. Xin and C.Z. Li, Mater. Charact., 144 (2018) 9–21.10.1016/j.matchar.2018.06.029Search in Google Scholar

[26] Y.C. Lin, X.Y. Jiang, S.C. Luo and D.G. He, Mater. Des., 139 (2018) 16–24.10.1016/j.matdes.2017.10.065Search in Google Scholar

[27] Y.C. Lin, M. He, M. Zhou, D.X. Wen and J. Chen, J. Mater. Eng. Perform., 24 (2015) 3527–3538.10.1007/s11665-015-1617-8Search in Google Scholar

[28] M. Azarbarmas, M. Aghaie-Khafri, J.M. Cabrera and J. Calvo, Mater. Des., 94 (2016) 28–38.10.1016/j.matdes.2015.12.157Search in Google Scholar

[29] Y.C. Lin, D.X. Wen, J. Deng, G. Liu and J. Chen, Mater. Des., 59 (2014) 115–123.10.1016/j.matdes.2014.02.041Search in Google Scholar

[30] X.M. Chen, Y.C. Lin, M.S. Chen, H.B. Li, D.X. Wen, J.L. Zhang and M. He, Mater. Des., 77 (2015) 41–49.10.1016/j.matdes.2015.04.004Search in Google Scholar

[31] Y.C. Lin, D.G. He, M.S. Chen, X.M. Chen and C.Y. Zhao, Mater. Des., 97 (2016) 13–24.10.1016/j.matdes.2016.02.052Search in Google Scholar

[32] Y.C. Lin, F.Q. Nong, X.M. Chen, D.D. Chen and M.S. Chen, Vacuum, 137 (2017) 104–114.10.1016/j.vacuum.2016.12.022Search in Google Scholar

[33] X.M. Chen, Y.C. Lin, D.X. Wen, J.L. Zhang and M. He, Mater. Des., 57 (2014) 568–577.10.1016/j.matdes.2013.12.072Search in Google Scholar

[34] Y.H. Liu, Y.Q. Ning, X.M. Yang, Z.K. Yao and H.Z. Guo, Mater. Des., 95 (2016) 669–676.10.1016/j.matdes.2016.01.032Search in Google Scholar

[35] S.Z. Najafi, A. Momeni, H.R. Jafarian and S. Ghadar, Mater. Charact., 132 (2017) 437–447.10.1016/j.matchar.2017.09.009Search in Google Scholar

[36] C. Zener and J.H. Hollomon, J. Appl. Phys., 15 (1944) 22–32.10.1063/1.1707363Search in Google Scholar

[37] Y.C. Lin, X.M. Chen, D.X. Wen and M.S. Chen, Comput. Mater. Sci., 83 (2014) 282–289.10.1016/j.commatsci.2013.11.003Search in Google Scholar

Received: 2018-06-30
Accepted: 2018-09-18
Published Online: 2018-12-15
Published in Print: 2019-02-25

© 2019 Walter de Gruyter GmbH, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 Public License.

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  36. Hydraulic Study of Bubble Migration in Liquid Titanium Alloy Melt during Vertical Centrifugal Casting Process
  37. Investigation on Double Wire Metal Inert Gas Welding of A7N01-T4 Aluminum Alloy in High-Speed Welding
  38. Oxidation Behaviour of Welded ASTM-SA210 GrA1 Boiler Tube Steels under Cyclic Conditions at 900°C in Air
  39. Study on the Evolution of Damage Degradation at Different Temperatures and Strain Rates for Ti-6Al-4V Alloy
  40. Pack-Boriding of Pure Iron with Powder Mixtures Containing ZrB2
  41. Evolution of Interfacial Features of MnO-SiO2 Type Inclusions/Steel Matrix during Isothermal Heating at Low Temperatures
  42. Effect of MgO/Al2O3 Ratio on Viscosity of Blast Furnace Primary Slag
  43. The Microstructure and Property of the Heat Affected zone in C-Mn Steel Treated by Rare Earth
  44. Microwave-Assisted Molten-Salt Facile Synthesis of Chromium Carbide (Cr3C2) Coatings on the Diamond Particles
  45. Effects of B on the Hot Ductility of Fe-36Ni Invar Alloy
  46. Impurity Distribution after Solidification of Hypereutectic Al-Si Melts and Eutectic Al-Si Melt
  47. Induced Electro-Deposition of High Melting-Point Phases on MgO–C Refractory in CaO–Al2O3–SiO2 – (MgO) Slag at 1773 K
  48. Microstructure and Mechanical Properties of 14Cr-ODS Steels with Zr Addition
  49. A Review of Boron-Rich Silicon Borides Basedon Thermodynamic Stability and Transport Properties of High-Temperature Thermoelectric Materials
  50. Siliceous Manganese Ore from Eastern India:A Potential Resource for Ferrosilicon-Manganese Production
  51. A Strain-Compensated Constitutive Model for Describing the Hot Compressive Deformation Behaviors of an Aged Inconel 718 Superalloy
  52. Surface Alloys of 0.45 C Carbon Steel Produced by High Current Pulsed Electron Beam
  53. Deformation Behavior and Processing Map during Isothermal Hot Compression of 49MnVS3 Non-Quenched and Tempered Steel
  54. A Constitutive Equation for Predicting Elevated Temperature Flow Behavior of BFe10-1-2 Cupronickel Alloy through Double Multiple Nonlinear Regression
  55. Oxidation Behavior of Ferritic Steel T22 Exposed to Supercritical Water
  56. A Multi Scale Strategy for Simulation of Microstructural Evolutions in Friction Stir Welding of Duplex Titanium Alloy
  57. Partition Behavior of Alloying Elements in Nickel-Based Alloys and Their Activity Interaction Parameters and Infinite Dilution Activity Coefficients
  58. Influence of Heating on Tensile Physical-Mechanical Properties of Granite
  59. Comparison of Al-Zn-Mg Alloy P-MIG Welded Joints Filled with Different Wires
  60. Microstructure and Mechanical Properties of Thick Plate Friction Stir Welds for 6082-T6 Aluminum Alloy
  61. Research Article
  62. Kinetics of oxide scale growth on a (Ti, Mo)5Si3 based oxidation resistant Mo-Ti-Si alloy at 900-1300C
  63. Calorimetric study on Bi-Cu-Sn alloys
  64. Mineralogical Phase of Slag and Its Effect on Dephosphorization during Converter Steelmaking Using Slag-Remaining Technology
  65. Controllability of joint integrity and mechanical properties of friction stir welded 6061-T6 aluminum and AZ31B magnesium alloys based on stationary shoulder
  66. Cellular Automaton Modeling of Phase Transformation of U-Nb Alloys during Solidification and Consequent Cooling Process
  67. The effect of MgTiO3Adding on Inclusion Characteristics
  68. Cutting performance of a functionally graded cemented carbide tool prepared by microwave heating and nitriding sintering
  69. Creep behaviour and life assessment of a cast nickel – base superalloy MAR – M247
  70. Failure mechanism and acoustic emission signal characteristics of coatings under the condition of impact indentation
  71. Reducing Surface Cracks and Improving Cleanliness of H-Beam Blanks in Continuous Casting — Improving continuous casting of H-beam blanks
  72. Rhodium influence on the microstructure and oxidation behaviour of aluminide coatings deposited on pure nickel and nickel based superalloy
  73. The effect of Nb content on precipitates, microstructure and texture of grain oriented silicon steel
  74. Effect of Arc Power on the Wear and High-temperature Oxidation Resistances of Plasma-Sprayed Fe-based Amorphous Coatings
  75. Short Communication
  76. Novel Combined Feeding Approach to Produce Quality Al6061 Composites for Heat Sinks
  77. Research Article
  78. Micromorphology change and microstructure of Cu-P based amorphous filler during heating process
  79. Controlling residual stress and distortion of friction stir welding joint by external stationary shoulder
  80. Research on the ingot shrinkage in the electroslag remelting withdrawal process for 9Cr3Mo roller
  81. Production of Mo2NiB2 Based Hard Alloys by Self-Propagating High-Temperature Synthesis
  82. The Morphology Analysis of Plasma-Sprayed Cast Iron Splats at Different Substrate Temperatures via Fractal Dimension and Circularity Methods
  83. A Comparative Study on Johnson–Cook, Modified Johnson–Cook, Modified Zerilli–Armstrong and Arrhenius-Type Constitutive Models to Predict Hot Deformation Behavior of TA2
  84. Dynamic absorption efficiency of paracetamol powder in microwave drying
  85. Preparation and Properties of Blast Furnace Slag Glass Ceramics Containing Cr2O3
  86. Influence of unburned pulverized coal on gasification reaction of coke in blast furnace
  87. Effect of PWHT Conditions on Toughness and Creep Rupture Strength in Modified 9Cr-1Mo Steel Welds
  88. Role of B2O3 on structure and shear-thinning property in CaO–SiO2–Na2O-based mold fluxes
  89. Effect of Acid Slag Treatment on the Inclusions in GCr15 Bearing Steel
  90. Recovery of Iron and Zinc from Blast Furnace Dust Using Iron-Bath Reduction
  91. Phase Analysis and Microstructural Investigations of Ce2Zr2O7 for High-Temperature Coatings on Ni-Base Superalloy Substrates
  92. Combustion Characteristics and Kinetics Study of Pulverized Coal and Semi-Coke
  93. Mechanical and Electrochemical Characterization of Supersolidus Sintered Austenitic Stainless Steel (316 L)
  94. Synthesis and characterization of Cu doped chromium oxide (Cr2O3) thin films
  95. Ladle Nozzle Clogging during casting of Silicon-Steel
  96. Thermodynamics and Industrial Trial on Increasing the Carbon Content at the BOF Endpoint to Produce Ultra-Low Carbon IF Steel by BOF-RH-CSP Process
  97. Research Article
  98. Effect of Boundary Conditions on Residual Stresses and Distortion in 316 Stainless Steel Butt Welded Plate
  99. Numerical Analysis on Effect of Additional Gas Injection on Characteristics around Raceway in Melter Gasifier
  100. Variation on thermal damage rate of granite specimen with thermal cycle treatment
  101. Effects of Fluoride and Sulphate Mineralizers on the Properties of Reconstructed Steel Slag
  102. Effect of Basicity on Precipitation of Spinel Crystals in a CaO-SiO2-MgO-Cr2O3-FeO System
  103. Review Article
  104. Exploitation of Mold Flux for the Ti-bearing Welding Wire Steel ER80-G
  105. Research Article
  106. Furnace heat prediction and control model and its application to large blast furnace
  107. Effects of Different Solid Solution Temperatures on Microstructure and Mechanical Properties of the AA7075 Alloy After T6 Heat Treatment
  108. Study of the Viscosity of a La2O3-SiO2-FeO Slag System
  109. Tensile Deformation and Work Hardening Behaviour of AISI 431 Martensitic Stainless Steel at Elevated Temperatures
  110. The Effectiveness of Reinforcement and Processing on Mechanical Properties, Wear Behavior and Damping Response of Aluminum Matrix Composites
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