期刊
INTERMETALLICS
卷 19, 期 7, 页码 1014-1019出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.intermet.2011.03.008
关键词
Titanium aluminides; based on Ti3Al; Deformation map; Plastic forming; hot
资金
- Major State Basic Research Development Program of China (973 Program) [2007CB613807]
- National Natural Science Foundation of China [51075333]
- State Key Laboratory of Solidification Processing in NWPU [35-TP-2009]
In the present investigation, isothermal compression tests of Ti-22Al-25Nb alloy were carried out under various hot deformation conditions, including the deformation temperature range of 940-1060 degrees C and the strain rate range of 0.01-10 s(-1). The constitutive relationship of Ti-22Al-25Nb alloy was developed using artificial neural network (ANN). During training process, standard error back-propagation algorithm was employed in the network model using experimental data sets. Based on the fitness function obtained from established ANN model, the optimization model of hot processing parameters for Ti-22Al-25Nb alloy was successfully created using genetic algorithm (GA). The optimal results achieved from the integrated ANN and GA optimization model were tested by using processing map. Consequently, it can be suggested that the combined approach of ANN and GA provides a novel way with respect to the optimization of processing parameters in the field of materials science. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.
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