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| 基于神经网络的曲轴残余应力预测 | |
| 引用本文： | 薛隆泉,徐国宁,刘荣昌,贾小刚.基于神经网络的曲轴残余应力预测[J].铸造技术,2007,28(5):686-689. |
| 作者姓名： | 薛隆泉 徐国宁 刘荣昌 贾小刚 |
| 作者单位： | 1. 西安理工大学机械与精密仪器工程学院,陕西,西安,710048 2. 河北科技师范学院机械电子系,山东,秦皇岛,066004 3. 武警工程学院军械运输系,陕西,西安,710086 |
| 基金项目： | 国家自然科学基金;河北省科技攻关项目 |
| 摘 要： | 基于曲轴强化的残余应力理论,将人工神经网络引入发动机曲轴圆角的残余应力预测中,首先利用DEFORM有限元软件对480Q曲轴进行滚压试验,得到数组不同滚压参数对应的残余应力,然后根据此数据建立了比较稳定的神经网络,并利用此网络预测曲轴圆角滚压后的残余应力.该神经网络与有限元分析结果比较接近,为曲轴滚压中残余应力预测提供了一种新方法. |
| 关 键 词： | 曲轴 神经网络 有限元 残余应力 |
| 文章编号： | 1000-8365(2007)05-0686-04 |
| 修稿时间： | 09 27 2006 12:00AM |
Residual Stress Prediction of the Crankshaft based on Neural Network |
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| XUE Long-quan,XU Guo-ning,LIU Rong-chang,JIA Xiao-gang.Residual Stress Prediction of the Crankshaft based on Neural Network[J].Foundry Technology,2007,28(5):686-689. | |
| Authors: | XUE Long-quan XU Guo-ning LIU Rong-chang JIA Xiao-gang |
| Abstract: | Based on the theory of crankshaft strengthening residual stress, an artificial neural networks(ANN) was introduced into residual stress prediction of the engine crankshaft round corner. Firstly, thefillet rolling experiments were made using finite element DEFORM software, a set of the residual stress which was corresponded to the different rolling parameters could be obtained, then a stable ANN was established using these data, and the residual stress of crankshaft round corner after rolling could be predicted using the ANN. The results of ANN prediction were similar to those of finite element analysis, a new method for predicting residual stress of the engine crankshaft round is proposed, orner residual stress. |
| Keywords: | Crankshaft ANNs FEA Residual stress |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |