Fuzzy evaluation of weld quality based on Matlab  

作　　者：Yao Ping Xue Jiaxiang Wang Leilei Zhu Qiang 

机构地区：[1]College of Electromechanical Engineering, Guangdong Polytechnic Normal University, Guangzhou, 510635 [2]School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, 510640

出　　处：《China Welding》2014年第2期67-71,共5页中国焊接（英文版）

基　　金：This work was supported by National Natural Science Foundation of China （No. 50875088 ） and Foundation for Distinguished Young Teachers＇ Training of Guangdong（Yq2013106）.

摘　　要：Based on standards and the expertise, 10 indicators such as crack, reinforcement and splash, etc. are selected for welds quality description. The indicators are classified into three categories： appearance defects, shape defects and weld defects, and corresponding fuzzy evaluation sets are designed. Membership functions of each indicator are determined with fuzzy inference system （FIS） editor in Matlab based on the actual welding experience. A two-stage fuzzy evaluation model for weld quality is established in Simulink. Finally, the model is tested through evaluating 7 different types of welds. The results show that fuzzy evaluation calculation can be simplified by combining Simulink with Matlab-FIS, and the evaluation results are more accurate and objective compared with the experts＇ subjective e＇, iluation.Based on standards and the expertise, 10 indicators such as crack, reinforcement and splash, etc. are selected for welds quality description. The indicators are classified into three categories： appearance defects, shape defects and weld defects, and corresponding fuzzy evaluation sets are designed. Membership functions of each indicator are determined with fuzzy inference system （FIS） editor in Matlab based on the actual welding experience. A two-stage fuzzy evaluation model for weld quality is established in Simulink. Finally, the model is tested through evaluating 7 different types of welds. The results show that fuzzy evaluation calculation can be simplified by combining Simulink with Matlab-FIS, and the evaluation results are more accurate and objective compared with the experts＇ subjective e＇, iluation.

关 键 词：weld quality DEFECTS fuzzy evaluation fuzzy inference system 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论] X823[自动化与计算机技术—计算机科学与技术]