共 29 条
[21]
A comparative study on Arrhenius-type constitutive model and artificial neural network model to predict high-temperature deformation behaviour in Aermet100 steel[J] . Guoliang Ji,Fuguo Li,Qinghua Li,Huiqu Li,Zhi Li.Materials Science & Engineering A . 2011 (13)
[22]
Prediction of hot compression flow curves of Ti–6Al–4V alloy in α + β phase region[J] . Mohammad Amin Shafaat,Hamid Omidvar,Behzad Fallah.Materials and Design . 2011 (10)
[23]
An adaptive constitutive model in the isothermal compression of Ti600 alloy[J] . Yong Niu,J. Luo,M.Q. Li.Materials Science & Engineering A . 2010 (21)
[24]
Prediction of flow stress in isothermal compression of Ti–6Al–4V alloy using fuzzy neural network[J] . Jiao Luo,Miaoquan Li,Weixin Yu.Materials and Design . 2010 (6)
[26]
The variation of strain rate sensitivity exponent and strain hardening exponent in isothermal compression of Ti–6Al–4V alloy[J] . Jiao Luo,Miaoquan Li,Weixin Yu,Hong Li.Materials and Design . 2009 (2)
[27]
Prediction of flow stress in Ti–6Al–4V alloy with an equiaxed α+β microstructure by artificial neural networks[J] . N.S. Reddy,You Hwan Lee,Chan Hee Park,Chong Soo Lee.Materials Science & Engineering A . 2008 (1)
[28]
Material flow stress and failure in multiscale machining titanium alloy Ti-6Al-4V[J] . J. Sun,Y. B. Guo.The International Journal of Advanced Manufacturing Technology . 2009 (7)
[29]
Microstructural evolution of a Ti–6Al–4V alloy during β-phase processing: experimental and simulative investigations[J] . R Ding,Z.X Guo.Materials Science & Engineering A . 2003 (1)