An adaptive prediction model of grain size for the forging of Ti-6Al-4V alloy based on fuzzy neural networks

作者：Li MQ^*; Chen DJ; Xiong AM; Long L

来源：Journal of Materials Processing Technology, 2002, 123(3): 377-381.

• forming
• titanium alloy
• grain size
• FNN model

In this paper, an adaptive model of grain size, has been established with the help of the fuzzy neural networks (FNNs), based on experimental results for Ti-6Al-4V titanium alloy with homogeneous deformation under various process technological parameters. The data of Teacher';s samples has been obtained from the experimental results. By the comparison of the calculated results with the experimental data of the Teacher';s samples and the testing samples, it has been verified that the model proposed in this paper can be applied to compute the grain size evolution during the deformation of Ti-6Al-4V titanium alloy.

• 出版日期2002-5-10
• 单位西北工业大学