Prediction of springback in wipe-bending process of sheet metal using neural network

Materials and Design

Volumn 30, Issue 2, 2009, Pages 418-423

  Kazan, Recep ^a   Firat, Mehmet ^a   Tiryaki, Aysun Egrisogut ^a  

^a SAKARYA UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

SPRING-BACK;

BACKPROPAGATION; BENDING (DEFORMATION); COMPUTER NETWORKS; COMPUTER SIMULATION; FINITE ELEMENT METHOD; FORECASTING; IMAGE CLASSIFICATION; LUBRICATION; MATERIALS SCIENCE; MATHEMATICAL MODELS; METALS; NEURAL NETWORKS; UNLOADING;

SHEET METAL;

EID: 51249106668     PISSN: 02641275     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matdes.2008.05.033     Document Type: Article

References (21)

1. Ferreira J.A., Sun P., and Grácio J.J. Close loop control of a hydraulic press for springback analysis. J Mater Process Technol 177 (2006) 377-381
2. Gardiner A.G. The springback of metals. Trans ASME J Appl Mech 79 (1957) 1-9
3. Wang C., Kinzel G., and Altan T. Mathematica modeling of plane-strain ending of sheet and plate. J Mater Process Technol 39 3/4 (1993) 279-304
4. Wang C., Kinzel G., and Altan T. Process simulation and springback control in plane-strain sheet bending. Sheet Metal and Stamping Symposium SAE Special Publications 944 (1993) 45-54
5. Karafillis A.P., and Boyce M.C. Tooling design in sheet metal forming using springback calculations. J Mech Sci 34 (1992) 113-131
6. Karafillis A.P., and Boyce M.C. Tooling and binder design for sheet metal forming processes compensating springback error. Int J Mach Tools Manuf 36 4 (1996) 503-526
7. Shu J., and Hung C. Finite element analysis and optimization of springback reduction: The double-bend technique. Int J Machine Tools Manuf 36 4 (1996) 423-434
8. Chou I.N., and Hung C. Finite element analysis and optimization on springback reduction. Int J Mach Tools Manuf 39 3 (1999) 517-536
9. Li X., Yang Y., Wang Y., Bao J., and Shunping L. Effect of the material-hardening mode on the springback simulation accuracy of V-free bending. J Mater Process Technol 123 (2002) 209-211
10. Esat V., Darendeliler H., and Gökler M.I. Finite element analysis of springback in bending of aluminium sheets. Mater Design 23 (2002) 223-229
11. Sunseri M., Cao J., Karafillis A.P., and Boyce M.C. Accommodation of springback error in channel forming using active binder force control: numerical simulations and experiments. ASME J Eng Mater Technol 118 (1996) 426-434
12. Ming Y., Manabe K., and Nishimura H. Development of an intelligent tool system for flexible L-bending process of metal sheets. Smart Mater Struct 7 4 (1998) 530-536
13. Morestin F., Boivin M., and Silva C. Elasto plastic formulation using a kinematic hardening model for springback analysis in sheet metal forming. J Mater Process Technol 56 (1996) 619-630
14. Liu W., Liu Q., Ruan F., Liang Z., and Qiu H. Springback prediction for sheet metal forming based on GA-ANN technology. J Mater Process Technol 187-188 (2007) 227-231
15. Sun P., Grácio J.J., and Ferreira J.A. Control system of a mini hydraulic press for evaluating springback in sheet metal forming. J Mater Process Technol 176 (2006) 55-61
16. Ruffini R., and Cao J. Using neural network for springback minimization in a channel forming process. J Mater Manuf 107 5 (1998) 65-73
17. Ling Y.E., Lee H.P., and Cheok B.T. Finite element analysis of springback in L-bending of sheet metal. J Mater Process Technol 168 (2005) 296-302
18. Tekaslan O., Şeker U., and Özdemir A. Determining springback amount of steel sheet metal has 0.5 mm thickness in bending dies. Mater Design 27 (2006) 251-258
19. Cao J., Kinsey B., and Solla S.A. Consistent and minimal springback using a stepped binder force trajectory and neural network control. J Mater Process Technol 122 (2000) 113-118
20. Widrow B., and Lher M.A. Thirty years of adaptive neural networks: perceptron, madaline and backpropagation. Proc IEEE 78 (1990) 1415-1442
21. Hagan M.T., and Menhaj M. Training feedforward networks with the Marquardt algorithm. IEEE Trans Neural Networks 5 6 (1994) 989-993