Abstract
It is widely accepted that stamping process planning for the strip layout is a key task in progressive die design. However, stamping process planning is more of an art rather than a science. This is in spite of recent advances in the field of artificial intelligence, which have achieved a lot of success in incorporating built-in intelligence and applying diverse knowledge to solving this kind of problem. The main difficulty is that existing knowledge-based expert systems for stamping process planning lack a proper architecture for organizing heterogeneous knowledge sources (KSs) in a cooperative decision making environment. This paper presents a knowledge-based blackboard framework for stamping process planning. The proposed approach speeds up the progressive die design process by automating the strip layout design. An example is included to show the effectiveness of the proposed approach.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Giarratano J, Riley G (1998) Expert systems: principles and programming, 3rd edn. PWS, Boston
Fogg B, Jaimeson B (1975) The influencing factors in optimizing press tool die layouts and a solution using computer aids. CIRP Ann 24:429–434
Nakaham S, Toshio K, Tamura K, Asuke F, Soda C, Nakamura T (1978) Computer aided progressive die design. Proceedings of the 19th Machine Tool Design and Research Conference. Macmillan, London, 1978, pp 1–12
Murakami H, Shirai K, Yamada O, Isoda K (1980) A CAD system for progressive dies. Proceedings of the 21th Machine Tool Design and Research Conference, Macmillan, London, 1980, pp 587–591
Bergstrom K, Kivivuori S, Osenius S, Korhonen A (1988) Computer aided design of progressive die. In: Chersot JL, Ohate E (eds) Modelling of metal forming processes. Kluwer, New York, pp 155–162
Duffey MR, Sun Q (1991) Knowledge-based design of progressive stamping dies. In: Venkatesh VC, McGeough JA (eds) Computer-aided production engineering. Elsevier, Amsterdam, pp 241–247
Cheok BT, Foong KY, Nee AYC (1996) An intelligent planning aid for the design of progressive dies. Proc Inst Mech Eng B J Eng Manuf 210(B1):25–35
Cheok BT, Nee AYC (1998) Configuration of progressive dies. Artif Intell Eng Des Anal Manuf 12:405–418
Prasad YKDV (1994) A set of heuristic algorithms for optimal nesting of two-dimensional irregularly shaped sheet-metal blanks. Comput Ind 24:55–70
Huang K, Ismail HS, Hon KB (1996) Automated design of progressive dies. Proc Inst Mech Eng B J Eng Manuf 210(B4):367–376
Ismail HS, Chen ST, Hon KKB (1996) Feature-based design of progressive press tools. Int J Mach Tools Manuf 36(3):367–378
Li CY, Li JJ, Wen JY, Xiao XZ (2001) HPRODIE: using feature modeling and feature mapping to speed up progressive die design. Int J Prod Res 39(18):4133–4151
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 Manuf Technol 15:485–497
Lin ZC, Hsu CY (1996) An investigation of an expert system for shearing cut progressive die design. Int J Adv Manuf Technol 11:1–11
Lin ZC, Chang YC (1997) Sash sheet metal development and the application of a back-propagation neural network in the calculation of the developed length. J Mater Process Technol 69:95–105
Lin ZC, Deng CH (2001) Application of Petri net in the planning of a shearing cut and bending progressive die workstation. Int J Mater Prod Technol 10:579–591
Thompson JB, Lu SCY (1989) Representing and using design rationale in concurrent product and process design. Concurrent Product and Process Design, ASME Winter Annual Meeting, 1015 Dec 1989, pp 109–115
Srihari K, Cecil JA, Emerson CR (1994) A blackboard-based process planning system for the surface mount manufacture of PCBs. Int J Adv Manuf Technol 9:188–194
Chen CH, Occena LG, Fok SC (2001) CONDENSE: a concurrent design evaluation system for product design. Int J Prod Res 39(3):413–433
Roy U, Liao JM (1998) Application of a blackboard framework to a cooperative fixture design system. Comput Ind 37:67–81
Kwong CK, Smith GF, Lau WS (1997) A blackboard-based approach to concurrent process design of injection moulding. J Mater Process Technol 70:258–263
Britton GA, Tor SB, Zhang WY (2003) Techniques in knowledge-based expert systems for the design of engineering systems. In: Leondes CT (ed) Business and technology of the new millennium. Kluwer, New York
Shah JJ, Mantyla M (1995) Parametric and feature-based CAD/CAM: concepts, techniques, and applications. Wiley, New York
Chen YM, Miller RA, Vemuri KR (1991) A framework for feature based part modeling. Comput Eng ASME 1:357–365
Tor SB, Britton GA, Zhang WY (2003) Indexing and retrieval in metal stamping die design using case-based reasoning. J Comput Inf Sci Eng, in press
Eriksson H (1992) A survey of knowledge acquisition techniques and tools and their relationship to software engineering. J Syst Softw 19:97–107
Zhang WY, Tor SB, Britton GA (2002) A two-level modeling approach to acquire functional design knowledge in mechanical engineering systems. Int J Adv Manuf Technol 19:454–460
Electronic Data System Corporation (2001) Unigraphics user’s manual, version 18.0. Electronic Data System Corporation, Maryland Heights, MO
Kamel M, Quintana Y (1992) Generation of concept hierarchies for engineering knowledge-based systems. In: Rzevski G, Adey RA (eds) Application of artificial intelligence in engineering VII. Computational Mechanics, Southhampton, pp 107–124
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Tor, S., Britton, G. & Zhang, W. A knowledge-based blackboard framework for stamping process planning in progressive die design. Int J Adv Manuf Technol 26, 774–783 (2005). https://doi.org/10.1007/s00170-003-2037-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-003-2037-8