| Prediction of flow stress in isothermal compression of Ti60 alloy using an adaptive network-based fuzzy inference system | |
| W. J. Jia; W. D. Zeng; Y. F. Han; J. R. Liu; Y. G. Zhou; Q. J. Wang | |
| 2011 | |
| Source Publication | Materials & Design
 |
| ISSN | 0261-3069 |
| Volume | 32Issue:10Pages:4676-4683 |
| Abstract | Isothermal compression of Ti60 titanium alloy at the deformation temperatures ranging from 960 to 1110 degrees C, the strain rates ranging from 0.001 to 10 s(-1) and the height reductions of 60% were carried out on a Gleeble-3800 simulator. An adaptive network-based fuzzy inference system (ANFIS) model has been established to predict the flow stress of Ti60 alloy during hot deformation process. A comparative evaluation of the predicted and the experimental results has shown that the ANFIS model used to predict the flow stress of Ti60 titanium alloy has a high accuracy. The maximum difference and the average difference between the predicted and the experimental flow stress are 13.83% and 5.15%, respectively. The comparison between the predicted results based on the ANFIS model for flow stress and those using the regression method has illustrated that the ANFIS model is more efficient in predicting the flow stress of Ti60 alloy. (C) 2011 Elsevier Ltd. All rights reserved. |
| description.department | [jia, weiju; zeng, weidong; han, yuanfei; zhou, yigang] nw polytech univ, sch mat, state key lab solidificat proc, xian 710072, peoples r china. [liu, jianrong; wang, qingjiang] chinese acad sci, inst met res, shenyang 110016, peoples r china.;zeng, wd (reprint author), nw polytech univ, sch mat, state key lab solidificat proc, xian 710072, peoples r china;diana19811025@hotmail.com zengwd@nwpu.edu.cn |
| Keyword | Non-ferrous Metals And Alloys Forging Material Property Databases Hot Deformation-behavior Titanium-alloy Microstructural Evolution Neural-network Working Ti-6al-4v Mechanism Anfis |
| URL | 查看原文 |
| WOS ID | WOS:000294373500002 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/30415 |
| Collection | 中国科学院金属研究所 |
| Recommended Citation GB/T 7714 | W. J. Jia,W. D. Zeng,Y. F. Han,et al. Prediction of flow stress in isothermal compression of Ti60 alloy using an adaptive network-based fuzzy inference system[J]. Materials & Design,2011,32(10):4676-4683. |
| APA | W. J. Jia,W. D. Zeng,Y. F. Han,J. R. Liu,Y. G. Zhou,&Q. J. Wang.(2011).Prediction of flow stress in isothermal compression of Ti60 alloy using an adaptive network-based fuzzy inference system.Materials & Design,32(10),4676-4683. |
| MLA | W. J. Jia,et al."Prediction of flow stress in isothermal compression of Ti60 alloy using an adaptive network-based fuzzy inference system".Materials & Design 32.10(2011):4676-4683. |
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