| 基于BP神经网络不锈钢锻造再结晶的晶粒尺寸模型 |
| |
| 引用本文： | 姚小飞,刘洁,葛东生,赵耀华. 基于BP神经网络不锈钢锻造再结晶的晶粒尺寸模型[J]. 山西冶金, 2009, 32(1): 11-13,28 |
| |
| 作者姓名： | 姚小飞 刘洁 葛东生 赵耀华 |
| |
| 作者单位： | [1]太原科技大学材料科学与工程学院,山西太原030024 [2]西安摩尔石油工程实验室,陕西西安710065 |
| |
| 基金项目： | 山西省自然基金项目(2008012008-2) |
| |
| 摘 要： | 金属的热变形是一个非常复杂的非线性过程，热变形过程中的晶粒尺寸变化直接决定着变形后金属的组织和性能。利用BP神经网络处理了304不锈钢的热变形非线性系统，从试验数据中自动总结出规律。采用人工神经网络技术对304奥氏体不锈钢锻造工艺参数（变形温度和变形速率），再结晶（包括静态再结晶、动态再结晶）和晶粒长大进行建模，分析了静态、动态再结晶晶粒尺寸，并对模型的预测性能进行了研究。
|
| 关 键 词： | BP神经网络 304不锈钢 锻造 再结晶 晶粒尺寸 |
Modeling for Grain Size of Stainless Steel by Forging Recrystallization Based on BP Neural Network |
| |
| YAO Xiaofei, LIU Jie GE Dongsheng ZHAO Yaohua. Modeling for Grain Size of Stainless Steel by Forging Recrystallization Based on BP Neural Network[J]. Shanxi Metallurgy, 2009, 32(1): 11-13,28 |
| |
| Authors: | YAO Xiaofei LIU Jie GE Dongsheng ZHAO Yaohua |
| |
| Affiliation: | 1. Materials Science And Engineering School;Univercity Of Science And Technology Taiyuan;Taiyuan 030024;China;2.Xi'an Maurer Petroleum Engineering Laboratory;Xi'an 710065;China |
| |
| Abstract: | Hot deformation of metals is a very complex nonlinear process, the hot deformation in the process of changes in grain size directly determines the alloy after deformation the organization and performance, BP neural network to deal with 304 stainless steel hot deformation of nonlinear systems, from the experimental data automatically summed up the rule. Artificial neural network technology for 304 austenitic stainless steel parameters of forging process (deformation temperature and strain rate), recrystalliz... |
| |
| Keywords: | BP neural network 304 stainless steel forging recrystallization grain size |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
