A novel approach for the prediction of bend allowance in air bending and comparison with other methods

International Journal of Advanced Manufacturing Technology

Volumn 37, Issue 5-6, 2008, Pages 486-495

  Kurtaran, Hasan ^a  

^a GEBZE TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Air bending; Artificial neural network; Response surface model

Indexed keywords

COMPUTER AIDED DESIGN; COMPUTER AIDED MANUFACTURING; FIBERS; NEURAL NETWORKS; QUALITY ASSURANCE;

AIR BENDING; RESPONSE SURFACE MODELS;

SHEET METAL;

EID: 42449136635     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-007-0987-y     Document Type: Article

References (27)

1. Suchy I (1997) Handbook of die design, McGraw-Hill, New York
2. Forcellese A, Gabrielli F, Ruffini R (1998) Effect of the training set size on springback control by neural network in an air bending process. J Mater Process Technol 80-81:493-500
3. Inamdar M, Date PP, Desai UB (2000) Studies on the prediction of springback in air vee bending of metallic sheets using an artificial neural network. J Mater Process Technol 108:45-54
4. Elkins KL, Sturges RH (2001) Design of a sensor for on-line measurement of loaded bend angle for pressbrake control. Robot Comput-Integr Manuf 17:329-340
5. Livatyali H, Kinzel GL, Altan T (2003) Computer aided die design of straight flanging using approximate numerical analysis. J Mater Process Technol 142:532-543
6. Wang C, Kinzel G, Altan T (1993) Mathematical modeling of plane-strain bending of sheet and plate. J Mater Process Technol 39:279-304
7. Prasad YKDV, Somasundaram S (1993) A mathematical model for bend-allowance calculation in automated sheet-metal bending. J Mater Process Technol 39:337-356
8. Heller B, Kleiner M (2006) Semi-analytical process modeling and simulation of air bending. J Strain Anal Eng Des 41:57-80
9. Vin de JL, Streppel AH, Singh UP, Kals HJJ (1996) A process model for air bending. J Mater Process Technol 57:48-54
10. Anokye-Siribor K, Singh UP (2000) A new analytical model for pressbrake forming using in-process identification of material characteristics. J Mater Process Technol 99:103-112
11. Streppel AH, Lutters D, Brinke ET, Pijlman HH, Kals HJJ (2001) Process modeling for air bending: validation by experiments and simulations. J Mater Process Technol 115:76-82
12. Antonelli L, Salvini P, Vivio F, Vullo V (2007) Identification of elasto-plastic characteristics by means of air-bending test. J Mater Process Technol 183:127-139
13. Fei D, Hodgson P (2006) Experimental and numerical studies of springback in air v-bending process for cold rolled TRIP steels. Nucl Eng Des 236:1847-1851
14. Bruni C, Forcellese A, Gabrielli F, Simoncini M (2006) Air bending of AZ31 magnesium alloy in warm and hot forming conditions. J Mater Process Technol 177:373-376
15. Singh UP, Maiti SK, Date PP, Narasimhan K (2004) Numerical simulation of the influence of air bending tool geometry on product quality. J Mater Process Technol 145:269-275
16. De Vin LJ (2001) Expecting the unexpected, a must for accurate brakeforming. J Mater Process Technol 117:244-248
17. De Vin LJ (2000) Curvature prediction in air bending of metal sheet: J Mater Process Technol 100:257-261
18. Bremberger M (1965) Stanzerei Handbuch. Hanser, München
19. DIN 6935 standard (1969) Supplementary sheet 1-2, cold forming by press brake and cold bending of flat rolled steel - cold forming and cold bending of flat rolled steel products calculated compensating values for different bending angles
20. Ozcelik B, Buyuk M (2001) An experimental approach for determining the bend allowance in air-bending process: 2nd Int Conference on Design and Production of Dies and Molds, KuşadasI, TURKEY, 21-23 June 2001
21. Duflou JR, Vancza J, Aerens R (2005) Computer aided process planning for sheet metal bending: a state of the art. Comput Ind 56:747-771
22. Choi JC, Kim BM, Kim C (1999) An automated progressive process planning and die design and working system for blanking or piercing and bending of a sheet metal product. Int J Adv Manufac Technol 15:485-497
23. Matlab User Manual (2002) Version 6.5 Release 13, The MathWorks, Inc
24. Box GEP, Draper NR (1987) Empirical model-building and response surface. Wiley, New York
25. Stander N, Roux WJ, Eggleston T, Craig KJ (2006) LS-OPT version 3.1 user's manual. Livermore Software Technology Corporation, CA, USA
26. Oktem H, Erzurumlu T, Kurtaran H (2005) Application of response surface methodology in the optimization of cutting conditions for surface roughness. J Mater Process Technol 170(1-2):11-16
27. Kurtaran H, Erzurumlu T (2006) Efficient warpage optimization of thin shell plastic parts using response surface methodology and genetic algorithm. Int J Adv Manufac Technol 27(5-6):468-472