DOI QR코드

DOI QR Code

성형 오차 예측 모델을 이용한 가변 성형 공정에서의 탄성 회복 보정

Compensation for Elastic Recovery in a Flexible Forming Process Using Predictive Models for Shape Error

  • Seo, Y.H. (Department of Aerospace Engineering, Pusan National University) ;
  • Kang, B.S. (Department of Aerospace Engineering, Pusan National University) ;
  • Kim, J. (Department of Aerospace Engineering, Pusan National University)
  • 투고 : 2012.08.27
  • 심사 : 2012.11.27
  • 발행 : 2012.12.01

초록

The objective of this study is to compensate the elastic recovery in the flexible forming process using the predictive models. The target shape was limited to two-dimensional shape having only one curvature radius in the longitudinal-direction. In order to predict the shape error the regression and neural network models were established based on the finite element (FE) simulations. A series of simulations were conducted considering input variables such as the elastic pad thickness, the thickness of plate, and the objective curvature radius. Then, at sampling points in the longitudinal-direction, the shape errors between formed and objective shapes could be calculated from the FE simulations as an output variable. These shape errors were expressed to a representative error value by the root mean square error (RMSE). To obtain the correct objective shape the die shape was adjusted by the closed-loop using the neural network model since the neural network model shows a higher capability of estimating the shape error than the regression model. Finally the experimental result shows that the formed shape almost agreed with the objective shape.

키워드

참고문헌

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피인용 문헌

  1. Development of Profile Design Method Based on Longitudinal Strain for Flexible Roll Forming Process vol.22, pp.7, 2013, https://doi.org/10.5228/KSTP.2013.22.7.401
  2. Flexible roll forming process design for variable cross-section profile vol.16, pp.1, 2015, https://doi.org/10.1007/s12239-015-0009-2
  3. Flexible Roll Forming Technology for Multi-Curved Sheet Metal Forming vol.22, pp.5, 2013, https://doi.org/10.5228/KSTP.2013.22.5.243