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基于人工神经网络的焊接接头力学性能预测系统
引用本文:邓欣,汪超,魏艳红. 基于人工神经网络的焊接接头力学性能预测系统[J]. 焊接学报, 2011, 32(6): 109-112
作者姓名:邓欣  汪超  魏艳红
作者单位:1. 中国船舶重工集团公司第七二五研究所,洛阳,471039
2. 南京航空航天大学材料科学与技术学院,南京,210016
摘    要:对神经元网络在焊接接头力学性能预测上的应用做了探索,训练了焊接方法包括焊条电弧焊、气体保护焊、埋弧焊和TIG焊的抗拉强度、屈服强度、断后伸长率和断面收缩率模型.并在此基础上设计完成了基于人工神经元网络的焊接接头力学性能预测系统.利用可视化界面编程技术和数据库技术制作了友好的人机用户界面.焊接接头力学性能预测系统包括添加...

关 键 词:人工神经网络  力学性能预测  焊接接头
收稿时间:2010-03-25

Prediction system of mechanical properties of welded joints based on artificial neural network
DENG Xin,WANG Chao and WEI Yanhong. Prediction system of mechanical properties of welded joints based on artificial neural network[J]. Transactions of The China Welding Institution, 2011, 32(6): 109-112
Authors:DENG Xin  WANG Chao  WEI Yanhong
Affiliation:Louyang Ship Material Research Institute, Louyang 471039, China,College of Material Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China and College of Material Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Abstract:The application for neural network on the prediction of the mechanical properties of welded joints was explored in the paper.The models,including tensile strength,yield strength,elongation,reduction for the welding methods of SMAW,SAW,GMAW and TIG were trained.The prediction system of mechanical properties of welded joints based on artificial neural network was designed and optimized.The friendly man-machine interface was made by the use of visual interface programming and database technology.The prediction system of mechanical properties of welded joints included the features,those were model added,model delete,performance prediction,preservation of data,browse data,and the effect of analysis parameters on the performance of joints.The software interface was very friendly and easy to be operated.
Keywords:artificial neural network  prediction of mechanical properties  welded joints
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