Comparative study on constitutive relationship of as-cast Ti60 titanium alloy during hot deformation based on Arrhenius-type and artificial neural network models

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	Comparative study on constitutive relationship of as-cast Ti60 titanium alloy during hot deformation based on Arrhenius-type and artificial neural network models
	W. W. Peng; W. D. Zeng; Q. J. Wang; H. Q. Yu
	2013
发表期刊	Materials & Design
ISSN	0261-3069
卷号	51 页码:95-104
摘要	Hot compression of as-cast Ti60 titanium alloy at the deformation temperatures ranging from 970 to 1120 degrees C with an interval of 30 degrees C, the strain rates ranging from 0.01 to 10.0 s(-1) and the height reduction of 75% is conducted on a Gleeble-3500 thermo-mechanical simulator. The experimental stress-strain data from hot compression are employed to develop the Arrhenius-type constitutive model incorporating the strain effect and artificial neural network (ANN) model with a back-propagation learning algorithm. The strain compensated constitutive model can track the experimental data across the whole hot working domain other than that at high strain rates (>= 1 s(-1)). It is possibly associated with the deformation mechanisms at high strain rates, where microstructure exhibits bands of flow localization and longitudinal cracking, are far different from that at low strain rates (<= 0.1 s(-1)) where dynamic recrystallization occurs. Comparison of the predicted results of flow stress based on the ANN model and those acquired from the strain compensated constitutive model has been performed. It is found that the relative error of the ANN model varies from -3.42% to 4.33% while that of the strain compensated constitutive model ranges from -14.65% to 13.63%, and the average absolute relative error is 2.41% and 8.45% corresponding to the ANN model and strain compensated constitutive model, respectively. These results sufficiently indicate that the ANN model is more accurate and efficient in terms of predicting the flow stress of as-cast Ti60 titanium alloy. (c) 2013 Elsevier Ltd. All rights reserved.
部门归属	[peng, wenwen ; zeng, weidong ; yu, hanqing] northwestern polytech univ, state key lab solidificat proc, xian 710072, peoples r china. [wang, qingjiang] chinese acad sci, inst met res, shenyang 110016, peoples r china. ; zeng, wd (reprint author), northwestern polytech univ, state key lab solidificat proc, xian 710072, peoples r china. ; zengwd@nwpu.edu.cn
关键词	As-cast Titanium Alloy Constitutive Model Arrhenius-type Neural Network 9cr-1mo P91 Steel High-temperature Flow Behavior Strain-rate Stainless-steel Predict Stress Microstructure Compression Evolution
URL	查看原文
语种	英语
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/71427
专题	中国科学院金属研究所
推荐引用方式 GB/T 7714	W. W. Peng,W. D. Zeng,Q. J. Wang,et al. Comparative study on constitutive relationship of as-cast Ti60 titanium alloy during hot deformation based on Arrhenius-type and artificial neural network models[J]. Materials & Design,2013,51:95-104.
APA	W. W. Peng,W. D. Zeng,Q. J. Wang,&H. Q. Yu.(2013).Comparative study on constitutive relationship of as-cast Ti60 titanium alloy during hot deformation based on Arrhenius-type and artificial neural network models.Materials & Design,51,95-104.
MLA	W. W. Peng,et al."Comparative study on constitutive relationship of as-cast Ti60 titanium alloy during hot deformation based on Arrhenius-type and artificial neural network models".Materials & Design 51(2013):95-104.