Consistent and Minimal Springback Using a Stepped Binder Force Trajectory and Neural Network Control

Journal of Engineering Materials and Technology, Transactions of the ASME

Volumn 122, Issue 1, 2000, Pages 113-118

  Cao, Jian ^a   Kinsey, Brad ^a   Solla, Sara A ^b,c  

^a Northwestern University   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001136045     PISSN: 00944289     EISSN: 15288889     Source Type: Journal    
DOI: 10.1115/1.482774     Document Type: Article

References (16)

1. ABAQUS, 1997, User’s Manual, Theory Manual, Version 5.6, Hibbit, Karlsson, and Sorensen, Providence, RI.
2. Ayres, R. A., 1984, “SHAPESET: A Process to Reduce Sidewall Curl Springback in High-Strength Steel Rails,” Journal of Applied Metalworking, Vol. 3, No. 2, pp. 127-34.
3. Cho, S., Cho, Y., and Yoon, S., 1997, “Reliable Roll Force Prediction in Cold Mill Using Multiple Neural Networks,” IEEE Transactions on Neural Networks, Vol. 8, No. 4, pp. 874-82.
4. Di, S., and Thomson, P. F., 1997, “Neural Network Approach for Prediction of Wrinkling Limit in Square Metal Sheet Under Diagonal Tension,” Journal of Testing and Evaluation, Vol. 25, pp. 74-81.
5. Elkins, K. L., 1994, “On-Line Angle Control for Small Radius Air Bending,” Carnegie Mellon University, UMI Dissertation Services, Ph.D. thesis.
6. Forcellese, A., Gabrielli F., and Ruffini, R., 1997, “Springback Control in a Air Bending Process by Neural Network,” Submitted to Proc. III Convegno AITEM.
7. Graf, A., and Hosford, W., 1993, “Plane-strain Tension Test of AL 2008-T4 Sheets,” Proceedings SAE Congress Symposium on Sheet Forming, Detroit, MI.
8. Hishida, Y., and Wagoner, R., 1993, “Experimental Analysis of Blank Holding Force Control in Sheet Forming,” Journal of Materials and Manufacturing, Vol. 2, pp. 409-15.
9. Hornik, K., Stinchcombe, M., and White, H., 1989, “Multilayer Feedforward Networks are Universal Approximators,” Neural Networks, Vol. 2, pp. 359-66.
10. Kinsey, B., 1998, “Process Control in Sheet Metal Forming,” Master’s thesis, Department of Mechanical Engineering, Northwestern University.
11. Kinsey, B., and Cao, J., 1997, “An Experimental Study to Determine the Feasibility of Implementing Process Control to Reduce Part Variation in a Stamping Plant,” Sheet Metal Stamping: Development Applications, SAE Paper 970713, SP-1221, pp. 107-12.
12. Ruffini, R., and Cao, J., 1998, “Using Neural Network for Springback Minimization in a Channel Forming Process,” Developments in Sheet Metal Stamping, SAE Paper 98M-154, SP-1322, pp. 77-85.
13. Rumelhart, D. E. and McClelland, J. L., 1986, “Learning Internal Representation by Error Propagation,” Parallel Distributed Processing, MIT Press, Cambridge, MA, Vol. 1, Ch. 8.
14. Sunseri, M., Cao, J., Karafillis, A. P., and Boyce, M. C., 1996, “Accommodation of Springback Error in Channel Forming Using Active Binder Force Control: Numerical Simulations and Results,” ASME Journal of Engineering Materials and Technology, Vol. 118, No. 3, pp. 426-35.
15. Widrow, B. and Lher, M. A., 1990, “30 Years of Adaptive Neural Networks: Perceptron, Madaline and Backpropagation,” Proceedings of the IEEE, Vol. 78, No. 9, pp. 1415-41.
16. Yang M., Shima, S., and Watanabe, T., 1992, “Development of Control System Using Neural Network Combined with Deformation Model for an Intelligent V-Bending Process of Sheet Metals,” Proceedings of Japan/USA Symposium on Flexible Automation, ASME, Vol. 2, pp. 1485-90.