Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Shenyang Aerospace University》 2016-01
Add to Favorite Get Latest Update

Mechanical property prediction of friction stir welding joint based on support vector machine

ZHANG Li-guo;HE Jun;GAO Shuang-sheng;General Affair office,Liaoning General Aviation Academy;Faculty of Aerospace Engineering, Shenyang Aerospace University;Faculty of Materials Science and Engineering, Shenyang Aerospace University;  
The 6005A-T6 aluminum alloy plates were welded by FSW( Friction Stir Welding). The tensile strength and elongation of FSW joints were tested. By using the test data,a mechanical properties prediction model of friction stir welding joint based on SVM( Support Vector Machine) was established with MATLAB programming. The model was used to make a prediction about the test data. Results showthat it is feasible to predict the mechanical properties of friction stir welding joint using SVM. An ideal model with high prediction accuracy can be established with small sample. Therefore,the method is worth generalizing.
【CateGory Index】: TG407
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved