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http://dx.doi.org/10.3795/KSME-A.2008.32.11.990

Springback Compensation of Sheet Metal Bending Process Based on DOE & ANN  

An, Jae-Hong (부산대학교 대학원 정밀가공시스템)
Ko, Dae-Cheol (부산대학교 ILIC)
Lee, Chan-Joo (부산대학교 대학원 정밀가공시스템)
Kim, Byung-Min (부산대학교 기계공학부)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.32, no.11, 2008 , pp. 990-996 More about this Journal
Abstract
Nowadays, the trend to a lightweight design accelerates the use of advanced high strength steel (AHSS) in automotive industry. Springback phenomena is a hot issue in the sheet metal forming, especially bending process using AHSS. Several analytical methods for that have been proposed in recent years. Each of method has their advantages and disadvantages. There are only a few optimal solutions which can minimize the two objectives simultaneously. In this study, an effective method optimized the multi objective value. The method by the design of experiments(DOE) and artificial neural network(ANN) was presented to compensate springback of bending parts. This method was applied to L and V bending process. The effective method could be optimized to multiple object. It was confirmed that the proposed method was more efficient than traditional manual FEA procedure and the trial and error approach for springback compensation.
Keywords
Spingback; AHSS; Optimal design; Sheet metal bending;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By SCOPUS : 1
연도 인용수 순위
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