教師資料查詢 | 類別: 期刊論文 | 教師: 葉豐輝 YEH FUNG-HUEI (瀏覽個人網頁)

標題:Application of Adaptive Network Fuzzy Inference System to Die Shape Optimal Design in Sheet Metal Bending Process
學年100
學期1
出版(發表)日期2012/01/01
作品名稱Application of Adaptive Network Fuzzy Inference System to Die Shape Optimal Design in Sheet Metal Bending Process
作品名稱(其他語言)
著者Yeh, Fung-Huei; Li, Ching-Lun; Tsay, Kun-Nan
單位淡江大學機械與機電工程學系
出版者新北市淡江大學
著錄名稱、卷期、頁數Journal of Applied Science and Engineering=淡江理工學刊 15(1), pp.31-40
摘要This paper combines adaptive network fuzzy inference system (ANFIS) and finite element method (FEM) to study the die shape optimal design in sheet metal bending process. At first, the explicit dynamic FEM is used to simulate the sheet metal bending process. After the bending process, the springback is analyzed by using the implicit static FEM to establish the basic database for ANFIS. Then, the die shape optimal design is performed by ANFIS using this database in the sheet metal bending process. As a verification of this system, the L-type and V-type dies are designed for the experiments to prove the reliability of FEM analysis and ANFIS optimal design by comparing the punch load and stroke relationship, the deformation history, stress distribution, and the bending angle of workpiece after springback between numerical and experimental results. It shows that a good agreement is achieved from comparison between numerical and experimental results. From this investigation, ANFIS has proved to be a useful scheme for die shape optimal design in the metal forming category.
關鍵字Adaptive Network Fuzzy Inference System; Finite Element Method; Die Shape Optimal Design; Springback; Sheet Metal Bending Process
語言英文
ISSN1560-6686
期刊性質國際
收錄於EI
產學合作
通訊作者Yeh, Fung-Huei
審稿制度
國別中華民國
公開徵稿
出版型式紙本
相關連結
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