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船舶与海洋工程中的焊接变形预测方法研究概述
引用本文:王建勋,初冠南,于昌利,王国学,桂洪斌.船舶与海洋工程中的焊接变形预测方法研究概述[J].船舶工程,2011,33(Z2):1-4.
作者姓名:王建勋  初冠南  于昌利  王国学  桂洪斌
作者单位:哈尔滨工业大学(威海)船舶工程学院;中国石化胜利油田分公司海洋石油船舶中心;
基金项目:威海市科技发展计划(项目编号2010-3-96)
摘    要:文章介绍了焊接变形预测理论的发展及现状,并将其归纳为基于实验和理论相结合的经验计算阶段、基于计算机数值模拟的模型分析阶段、基于新兴数据挖掘方法的研究应用阶段三个标志性阶段,详细论述了每个阶段预测技术在实际中应用的优劣.着重以BP、RBF人工神经网络为例阐述了神经网络等数据挖掘方法在焊接变形预测中的应用前景,并指出了目前存在的不足及未来亟待研究的方向.

关 键 词:焊接变形  预测  精度控制  神经网络
收稿时间:2011/4/10 0:00:00
修稿时间:5/16/2011 9:07:04 PM

General Review on Prediction of Welding Distortion of Construction in Naval Architecture
WANG Jian-xun,CHU Guan-nan,YU Chang-li,Wang Guoxue and GUI Hong-bin.General Review on Prediction of Welding Distortion of Construction in Naval Architecture[J].Ship Engineering,2011,33(Z2):1-4.
Authors:WANG Jian-xun  CHU Guan-nan  YU Chang-li  Wang Guoxue and GUI Hong-bin
Institution:WANG Jian-xun1,CHU Guan-nan1,YU Chang-li1,WANG Guo-xue2,GUI Hong-bin1(1.School of Naval Architecture,Harbin Institute of Technology at Weihai,Weihai 264209,China,2.Offshore Oil Ship Center,Shengli Oil Field Branch Co.of Sinopec Group,Longkou 265700,China)
Abstract:In this paper,the development and current situation of theories on welding distortion prediction,which were classified to three symbolic development stages: based on theoretical and empirical experiments;based on numerical simulation;based on data mining,have been discussed.Detailed comparative analysis of these methods in different stages also has been done to discuss their advantages and disadvantages in the application.The prospect of data mining used in the prediction was especially introduced with the ...
Keywords:welding distortion  prediction  accuracy control  neural network  
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