|제목(국문)||성형 오차 예측 모델을 이용한 가변 성형 공정에서의 탄성 회복 보정|
|제목(영문)||Compensation for Elastic Recovery in a Flexible Forming Process Using Predictive Models for Shape Error|
(Y. H. Seo
,부산대학교 항공우주공학과 대학원
강범수 (B.S.Kang ,회원, 부산대학교 항공우주공학과 ) ▷공저자네트워크등록하기
김정 (J.Kim ,회원, 부산대학교 대학원 항공우주공학과 ) ▷공저자네트워크등록하기
The objective of this study is to compensate the elastic recovery in the flexible fonning process using the predictive models. The target shape was limited to two-dimensional shape having only one curvature radius in the longitudinaldirection. 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.
|keyword||Elastic Recovery Compensation, Flexible Fonning, Neural Network, Finite Element Simulation, Shape Error|