Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
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Springback Compensation of Sheet Metal Bending Process Based on DOE & ANN

판재 굽힘 성형에서 실험계획법 및 인공신경망을 이용한 탄성회복 보정

  • 안재홍 (부산대학교 대학원 정밀가공시스템) ;
  • 고대철 (부산대학교 ILIC) ;
  • 이찬주 (부산대학교 대학원 정밀가공시스템) ;
  • 김병민 (부산대학교 기계공학부)
  • Published : 2008.11.01
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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.

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References

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