Trends and Developments in Intelligent Computer Aided Design of Progressive Dies

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This paper discusses the trends and developments in intelligent CAD of progressive die. The research efforts reviewed reveal the growing importance and relevancy of particular AI techniques for automation of progressive die design activities. Based on the knowledge base approach of AI, an intelligent CAD framework is developed and presented in this paper. The proposed intelligent CAD framework comprises different knowledge base modules for automating progressive die design process. The procedure for the development of various knowledge base modules of the proposed intelligent CAD system is described through module CCKBS which has been designed for assessing manufacturability of sheet metal parts. An illustrative example has been included for demonstrating the usefulness of the developed module CCKBS. The system framework is flexible enough to accommodate new acquired knowledge for each module. The modules of the system framework are implementable on a PC and thus can be affordable by small and medium size enterprises.

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Edited by:

M. Geiger, J. Duflou, H.J.J. Kals, B. Shirvani and U.P. Singh

Pages:

241-248

Citation:

S. Kumar and R. Singh, "Trends and Developments in Intelligent Computer Aided Design of Progressive Dies", Advanced Materials Research, Vols. 6-8, pp. 241-248, 2005

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May 2005

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[1] A. Y. C. Nee, Some Considerations in the Design and Automatic Staging of Progressive Dies, Journal of Materials Processing Technology, Vol. 29 (1992), pp.147-158.

DOI: https://doi.org/10.1016/0924-0136(92)90060-6

[2] S. George, Computer Designs of Progressive Dies, American Machinist, Vol. 22 (1971), pp.73-75.

[3] K. Shirai and H. Murkami, A Compact and Practical CAD/CAM System for Progressive Dies, Bull. of Japanese Soc. of Prec. Engg., Vol. 23 (1989), pp.25-30.

[4] M. Adachi et al, Integrated CAD System for Progressive Dies, Fujitsu Science Tech. Journal, Vol. 19 (1983), pp.1138-1148.

[5] A. Y. C. Nee, PC-based Computer Aids in Sheet Metal Working, Journal of Mechanical Working Technology, Vol. 19 (1989), pp.11-21.

DOI: https://doi.org/10.1016/0378-3804(89)90062-4

[6] J. Y. Li, A. Y. C. Nee and B. T. Cheok, Integrated Feature-Based Modelling and Process Planning of Bending Operations in Progressive Die Design, Int. Journal of Advanced Manufacturing Technology, Vol. 20 (2002), pp.883-895.

DOI: https://doi.org/10.1007/s001700200212

[7] P-DIE: Auto-trol's Progressive Die System, Auto-trol Technology Corporation, Denver, Colorado, USA, (1987).

[8] F-PDIE: Fanuc Progressive Die System, Fanuc Ltd., Oshino-mura Yamanashi, Prefecture, Japan, (1988), pp.401-405.

[9] ADAMS: ADAMS Die Master System, Kataken Seiko Co. Ltd., Japan, (1988).

[10] U-GRAPH: U-Graph Assisted Die Design System, Daini Seikosha Co. Ltd., Japan, (1989).

[11] M. R. Duffy and Q. Sun, Knowledge-based Design of Progressive Stamping Dies, Journal of Materials Processing Technology, Vol. 28 (1991), pp.221-227.

[12] I. B. H. Lee, B. S. Lim and A. Y. C. Nee, Knowledge-based Process Planning System for the Manufacture of Progressive Dies, International Journal of Production Research, Vol. 31(2) (1993), pp.251-278.

[13] B. T. Cheok, K. Y. Foong and A. Y. C. Nee, An Intelligent Planning Aid for the Design of Progressive Dies, Proc. Instn. Mech. Engrs., Part B: Journal of Engineering Manufacture, Vol. 210 (1996), pp.25-35.

DOI: https://doi.org/10.1243/pime_proc_1996_210_083_02

[14] Z. Li, Z. Chen, Y. Hong, X. Xiao and J. Xiao, Computer-Aided Design of Progressive Die Construction, Proc. of Int. Conf. on Die and Mold Technology, Shanghai, China (May 18-21, 1990), pp.357-363.

[15] X. Xiao, Z. Li, J. Li, Z. Li, J. Ma and J. Xiao, An Intelligent Approach to the Strip Layout of Progressive Die Design, Proc. of the Fourth Int. Conf. on the Technology of Plasticity, (1993), pp.1817-1821.

[16] H. S. Ismail, S. T. Chen, K. K. B. Hon, Automated Design of Progressive Dies, Proc. Instn. Mech. Engrs., Part B: Journal of Engineering Manufacture, Vol. 210 (1996), pp.367-376.

[17] R. Singh and G. S. Sekhon, Design and Application of Hybrid Software for Modelling Die Components and Die Assembly, Proc. Instn. Mech. Engrs., Part B: Journal of Engineering Manufacture, Vol. 217 (2003), pp.235-250.

DOI: https://doi.org/10.1243/095440503321148876

[18] R. Singh and G. S. Sekhon, PROPLAN: An Expert System for Optimal Planning of sheet metal operations, Accepted for publication in Journal of Material Processing Tech., (2004).

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