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Rare Metals

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15.03.2018

Prediction model for flow stress during isothermal compression in α + β phase field of TC4 alloy

verfasst von: Shun Yang, Hong Li, Jiao Luo, Yin-Gang Liu, Miao-Quan Li

Erschienen in: Rare Metals | Ausgabe 5/2018

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Abstract

Isothermal compression of TC4 alloy was performed on a Thermecmaster-Z simulator at the deformation temperatures ranging from 1093 to 1243 K, the strain rates ranging from 0.001 to 10.000 s⁻¹ and a maximum strain of 0.8. The experimental results show that the flow stress increases with the decrease in the deformation temperature and the increase in the strain rate. The apparent activation energy for deformation is much lower at lower strain rates than that at higher strain rates. The flow stress model considering strain compensation was established. The average relative error between the calculated flow stress and experimental results is about 7.69%, indicating that the present model could be used to accurately predict the flow stress during high temperature in α + β phase field of TC4 alloy.

Nächster Artikel Transformation and dissolution of second phases during solution treatment of an Al–Zn–Mg–Cu alloy containing high zinc

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[1]

Yuan Z, Li F, Qiao H, Xiao M, Cai J, Li J. A modified constitutive equation for elevated temperature flow behavior of Ti–6Al–4V alloy based on double multiple nonlinear regression. Mater Sci Eng A. 2013;578:260.CrossRef

[2]

Li J, Li F, Cai J, Wang R, Yuan Z, Xue F. Flow behavior modeling of the 7050 aluminum alloy at elevated temperatures considering the compensation of strain. Mater Des. 2012;42:369.CrossRef

[3]

Li H, Yang C, Sun L, Li M. Influence of pressure on interfacial microstructure evolution and atomic diffusion in the hot-press bonding of Ti–33Al–3V to TC17. J Alloys Compd. 2017;720:131.CrossRef

[4]

Liu N, Li Z, Xu WY, Wang Y, Zhang GQ, Yuan H. Hot deformation behavior and microstructural evolution of powder metallurgical TiAl alloy. Rare Met. 2017;36(4):236.CrossRef

[5]

Feng YL, Li J, Ai LQ, Duan BM. Deformation resistance of Fe–Mn–V–N alloy under different deformation processes. Rare Met. 2017;36(10):833.CrossRef

[6]

Chen G, Ren C, Qin X, Li J. Temperature dependent work hardening in Ti–6Al–4V alloy over large temperature and strain rate ranges: experiments and constitutive modeling. Mater Des. 2015;83:598.CrossRef

[7]

Kim JH, Semiatin SL, Lee YH, Lee CS. A self-consistent approach for modeling the flow behavior of the alpha and beta phases in Ti–6Al–4V. Metall Mater Trans A Phys Metall Mater Sci. 2011;42(7):1805.CrossRef

[8]

Liu YG, Li MQ, Luo J. The modelling of dynamic recrystallization in the isothermal compression of 300 M steel. Mater Sci Eng A. 2013;574:1.CrossRef

[9]

Hou XL, Li Y, Lv P, Cai J, Ji L, Guan QF. Hot deformation behavior and microstructure evolution of a Mg–Gd–Nd–Y–Zn alloy. Rare Met. 2016;35(7):532.CrossRef

[10]

Liu SF, Li MQ, Luo J, Yang Z. Deformation behavior in the isothermal compression of Ti–5Al–5Mo–5V–1Cr–1Fe alloy. Mater Sci Eng A. 2014;589:15.CrossRef

[11]

Pilehva F, Zarei-Hanzaki A, Ghambari M, Abedi HR. Flow behavior modeling of a Ti–6Al–7Nb biomedical alloy during manufacturing at elevated temperatures. Mater Des. 2013;51:457.CrossRef

[12]

Niu Y, Luo J, Li MQ. An adaptive constitutive model in the isothermal compression of Ti600 alloy. Mater Sci Eng A. 2010;527(21–22):5924.CrossRef

[13]

Liu YG, Li MQ, Liu HJ. Surface nanocrystallization and gradient structure developed in the bulk TC4 alloy processed by shot peening. J Alloys Compd. 2016;685:186.CrossRef

[14]

Reddy NS, Lee YH, Kim JH, Lee CS. High temperature deformation behavior of Ti–6Al–4V alloy with and equiaxed microstructure: a neural networks analysis. Met Mater Int. 2008;14:213.CrossRef

[15]

Sun J, Guo YB. Material flow stress and failure in multiscale machining titanium alloy Ti–6Al–4V. Int J Adv Manuf Technol. 2009;41(7–8):651.CrossRef

[16]

Liu YG, Li MQ, Liu HJ. Deformation induced face-centered cubic titanium and its twinning behavior in Ti–6Al–4V. Scr Mater. 2016;119:5.CrossRef

[17]

Kim Y, Song YB, Lee SH, Kwon YS. Characterization of the hot deformation behavior and microstructural evolution of Ti–6Al–4V sintered preforms using materials modeling techniques. J Alloys Compd. 2016;676:15.CrossRef

[18]

Wang F, Zhao J, Zhu N, Li Z. A comparative study on Johnson–Cook constitutive modeling for Ti–6Al–4V alloy using automated ball indentation (ABI) technique. J Alloys Compd. 2015;633:220.CrossRef

[19]

Xiao J, Li DS, Li XQ, Deng TS. Constitutive modeling and microstructure change of Ti–6Al–4V during the hot tensile deformation. J Alloys Compd. 2012;541:346.CrossRef

[20]

Ding R, Guo ZX. Microstructural evolution of a Ti–6Al–4V alloy during β-phase processing: experimental and simulative investigations. Mater Sci Eng A. 2004;365(1–2):172.CrossRef

[21]

Shafaat MA, Omidvar H, Fallah B. Prediction of hot compression flow curves of Ti–6Al–4V alloy in α + β phase region. Mater Des. 2011;32(10):4689.CrossRef

[22]

Porntadawit J, Uthaisangsuk V, Choungthong P. Modeling of flow behavior of Ti–6Al–4V alloy at elevated temperatures. Mater Sci Eng A. 2014;599:212.CrossRef

[23]

Kotkunde N, Deole AD, Gupta AK, Singh SK. Comparative study of constitutive modeling for Ti–6Al–4V alloy at low strain rates and elevated temperatures. Mater Des. 2014;55:999.CrossRef

[24]

Luo J, Li M, Yu W. Prediction of flow stress in isothermal compression of Ti–6Al–4V alloy using fuzzy neural network. Mater Des. 2010;31(6):3078.CrossRef

[25]

Reddy NS, Lee YH, Park CH, Lee CS. Prediction of flow stress in Ti–6Al–4V alloy with an equiaxed α + β microstructure by artificial neural networks. Mater Sci Eng A. 2008;492(1–2):276.CrossRef

[26]

Luo J, Li M, Li X, Shi Y. Constitutive model for high temperature deformation of titanium alloys using internal state variables. Mech Mater. 2010;42(2):157.CrossRef

[27]

Peng X, Guo H, Shi Z, Qin C, Zhao Z. Constitutive equations for high temperature flow stress of TC4–DT alloy incorporating strain, strain rate and temperature. Mater Des. 2013;50:198.CrossRef

[28]

Luo J, Li M, Yu W, Li H. The variation of strain rate sensitivity exponent and strain hardening exponent in isothermal compression of Ti–6Al–4V alloy. Mater Des. 2010;31:741.CrossRef

[29]

Hao Z, Ji F, Fan Y, Lin J, Liu X, Gao S. Flow characteristics and constitutive equations of flow stress in high speed cutting Alloy 718. J Alloys Compd. 2017;728:854.CrossRef

[30]

He S, Li CS, Huang ZY, Zheng JJ. A modified constitutive model based on Arrhenius-type equation to predict the flow behavior of Fe–36% Ni Invar alloy. J Mater Res. 2017;32(20):3831.CrossRef

[31]

Rastegari H, Rakhshkhorshid M, Somani MC, Porter DA. Constitutive modeling of warm deformation flow curves of an eutectoid steel. J Mater Eng Perform. 2017;26(5):2170.CrossRef

[32]

Cai J, Wang K, Zhai P, Li F, Yang J. A modified Johnson-Cook constitutive equation to predict hot deformation behavior of Ti–6Al–4V alloy. J Mater Eng Perform. 2015;24(1):32.CrossRef

[33]

Changizian P, Zarei-Hanzaki A, Roostaei AA. The high temperature flow behavior modeling of AZ81 magnesium alloy considering strain effects. Mater Des. 2012;39:384.CrossRef

[34]

Ji G, Li F, Li Q, Li H, Li Z. A comparative study on Arrhenius-type constitutive model and artificial neural network model to predict high-temperature deformation behaviour in Aermet100 steel. Mater Sci Eng A. 2011;528(13–14):4774.CrossRef

Titel: Prediction model for flow stress during isothermal compression in α + β phase field of TC4 alloy
verfasst von: Shun Yang
Hong Li
Jiao Luo
Yin-Gang Liu
Miao-Quan Li
Publikationsdatum: 15.03.2018
Verlag: Nonferrous Metals Society of China
Erschienen in: Rare Metals / Ausgabe 5/2018
Print ISSN: 1001-0521
Elektronische ISSN: 1867-7185
DOI: https://doi.org/10.1007/s12598-018-1012-3

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