Artificial Neural Network Application to the Friction Stir Welding of Al 6061 Alloy to Stainless Steel 304

作     者：HASSAN Nassef 

作者机构：School of Mechanical Engineering Beijing University of Aeronautics and Astronautics 

出 版 物：《Computer Aided Drafting,Design and Manufacturing》 (计算机辅助绘图设计与制造（英文版）)

年 卷 期：2008年第18卷第1期

页      码：26-31页

摘      要：The joining of a 6-mm thickness Al 6061 to Stainless steel 304 has been performed by solid state welding. A selection method of optimum friction welding condition using neural networks is proposed. The data used for analyses are the friction stir welding condition, the input parameters of the model consist of welding speed and tool rotation speed. The outputs of the ANN (Artificial Neural Network)model includes resulting parameters, namely, maximum reached temperature,and heating rate for both aluminum alloy 6061 and stainless steel 304 during friction stir welding *** results of analysis suggest that the proposed method is an effective one to select an optimum welding *** performance of the ANN model was achieved. The combined influence of welding speed and tool rotation speed on the maximum reached temperature and heating rate for both aluminum alloy 6061and stainless steel 304 friction stir welding was simulated. A comparison was made between the output of the ANN program and finite element model. The calculated results were in good agreement with that of finite element model.

主 题 词：friction stir welding artificial neural network application welding parameters 

学科分类：12[管理学] 1201[管理学-管理科学与工程类] 081104[081104] 08[工学] 0835[0835] 0811[工学-水利类] 0812[工学-测绘类] 

D　O　I：10.19583/j.1003-4951.2008.01.004

馆 藏 号：203847929...