Application of ANFIS for inverse prediction of hole profile in the square hole bore-expanding process

Journal of Materials Processing Technology

Volumn 173, Issue 2, 2006, Pages 136-144

  Yeh, Fung Huei ^a   Lu, Yuung Hwa ^b   Li, Ching Lun ^a   Wu, Ming Tsung ^a  

^a TAMKANG UNIVERSITY   (Taiwan)

^b NATIONAL ILAN UNIVERSITY   (Taiwan)

Author keywords

ANFIS; Inverse prediction; Square hole bore expanding process

Indexed keywords

COMPUTER SIMULATION; DATABASE SYSTEMS; LEARNING SYSTEMS;

ANFIS; INVERSE PREDICTION; SQUARE HOLE BORE-EXPANDING PROCESS;

FUZZY SETS;

EID: 33644649742     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2005.11.010     Document Type: Article

References (13)

1. J.C. Lin, and C.C. Tai The application of neural networks in the prediction of sprint-back in an L-shaped bend Int. J. Adv. Manufac. Technol. 15 1999 163 170
2. D.H. Kim, D.J. Kim, and B.M. Kim The application of neural networks and statistical methods to process design in metal forming processes Int. J. Adv. Manufac. Technol. 15 1999 886 894
3. Q. Hancheng, X. Bocai, L. Shangzheng, and W. Fagen Fuzzy neural network modeling of material properties J. Mater. Process. Tech. 122 2002 196 200
4. J.S.R. Jang ANFIS: adaptive-network-based fuzzy inference system IEEE Trans. Syst. Man Cybernet. 23 3 1993 665 685
5. Y. Yamada, and M. Koide Analysis of the bore-expanding test by the incremental theory of plasticity Int. J. Mech. Sci. 10 1968 1 14
6. H. Takuda, Y. Tanaka, and N. Hatta Finite element analysis of forming limit in bore expanding of aluminum alloy sheets Arch. Appl. Mech. 68 1998 566 576
7. M.S. Joun, and S.M. Hwang Optimal process design in steady-state metal forming by finite element method. I. Theoretical considerations Int. J. Mach. Tools Manufac. 33 1 1993 51 61
8. M.S. Joun, and S.M. Hwang Optimal process design in steady-state metal forming by finite element method. II. Application to die profile design in extrusion Int. J. Mach. Tools Manufac. 33 1 1993 63 70
9. J. Park, N. Rebelo, and S. Kobayashi A new approach to preform design in metal forming with the finite element method Int. J. Mach. Tool Des. 23 1983
10. Y.H. Lu, F.H. Yeh, C.L. Li, M.T. Wu, and C.H. Liu Study of ductile fracture and preform design of upsetting process using adaptive network fuzzy inference system J. Mater. Process. Tech. 140 2003 576 582
11. M.K. Bhupariraju, Direct and inverse models in metal forming: A soft computing approach, Ph.D. thesis, University of Ohio State, 1999.
12. ANSYS/LS-DYNA Theoretical Manual, ANSYS Inc., 1998.
13. T. Takagi, and M. Sugeno Derivation of fuzzy control rules from human operator's control action Proceedings of the IFAC Symposium on Fuzzy Information Knowledge Representation and Decision Analysis 1983 55 60