PHYSICAL SIMULATION AND PROPERTY PREDICTION IN HEAT FORMING PROCESS OF 1Cr18Ni9Ti

作     者：B. GUO, S. X. Wu, H. M. Dai and R. H. Luo School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China 

出 版 物：《Acta Metallurgica Sinica(English Letters)》 (金属学报（英文版）)

年 卷 期：2000年第13卷第2期

页      面：486-493页

核心收录：

学科分类：07[理学] 070205[理学-凝聚态物理] 0702[理学-物理学] 

主　　题：heat forming neural network BP algorithm prediction 

摘      要：Regarding heat forming process of 1Cr18Ni9Ti as typical forming process, this paper presents the study of the effect of various parameters on flow stress, grain size and hardness of formed specimen by means of Gleeble-1500 Thermo-simulation machine and metalloscope. On the basis of technical experi- ment this paper, data are proceeded by applying multilayer feedforward back-propagation neural network, a prediction model of technological parameters together with microstructure and property in the heat forming process is established, thus forging property prediction in the heat forming process is realized.