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A knowledge-based system for selection of progressive die components

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Warianty tytułu
Konferencja
12th International Scientific Conference CAM3S'2006, 27-30th November 2006, Gliwice-Zakopane
Języki publikacji
EN
Abstrakty
EN
Purpose: The present paper describes a knowledge-based system (KBS) developed for selection of progressive die components to automate the design process of progressive dies in stamping industries. Design/methodology/approach: The production rule based KBS approach of Artificial Intelligence (AI) has been utilized for constructing the proposed system. The system has been structured into seven KBS modules. Modules are user interactive and designed to be loaded in to the prompt area of AutoCAD. Findings: The output of system modules includes the type and proper dimensions of progressive die components namely die block, die gauges (front spacer and back gauge), stripper, punches, punch plate, back plate, die-set and fasteners. The system has been designed in such a way that the expert advices imparted by its modules are automatically stored in different output data files. These data files can be further utilized for automatic modeling of die components and die assembly. Research limitations/implications: Altough the system is limited to the design of progressive dies only, yet it can be extended further for the design of other types of dies also. Practical implications: The proposed system is ready for use in sheet metal industries for quick selection of progressive die components. The system can be implemented on a PC having AutoCAD software and therefore its low cost of implementation makes it affordable by small and medium sized stamping industries. Originality/value: The proposed system is capable of accomplishing the time-consuming task of selection of progressive die components in a very short time period.
Rocznik
Strony
475--478
Opis fizyczny
Bibligr. 15 poz., rys., tab.
Twórcy
autor
autor
Bibliografia
  • [1] H.S. Ismail, K.K.B. Hon, K. Huang, An intelligent object-oriented approach to the design and assembly of press tools, Annals of the CIRP, 44 (1995) 91-96.
  • [2] M.C. Cakir, O. Irfan, K. Cavdar, An expert system approach for die and mold making operations, Robotics and Computer-Integrated Manufacturing, 21 (2005) 175-183.
  • [3] S. Kumar, R. Singh, A low cost knowledge base system framework for progressive die design, Journal of Material Processing Technology, 153-154 (2004) 958-964.
  • [4] S. Kumar, R. Singh, An intelligent system for selection of die-set of press tool for metal stampings, Journal of Materials Processing Technology, 164-165 (2005) 1395-1401.
  • [5] M. Tisza, Expert systems for metal forming, Journal of Materials Processing Technology, 53 (1995) 423-432.
  • [6] Vivek Goel, Jianhua Chen, Application of expert network for material selection in engineering design, Computers in Industry, 30 (1996) 87-101.
  • [7] J.Y. Li, A.Y.C. Nee, B.T. Cheok, Integrated feature-based modelling and process planning of bending operations in progressive die design, International Journal of Advanced Manufacturing. Technology, 20 (2002) 883-895.
  • [8] S. Kumar, R. Singh, Trends and developments in intelligent computer aided design of progressive dies, Journal of Advanced Materials Research, 6-8 (2005) 241-248.
  • [9] W. Myers, Introduction to expert systems, Spring, 1986.
  • [10] M. Detroit, Die design handbook, ASMTE, 1955.
  • [11] C.W. Hinman, Press working of metals, McGraw Hill, 1950.
  • [12] D.F. Ostergard, Advanced die making, McGraw Hill, 1967.
  • [13] A. Singh, Working with AutoCAD 2000, TMH, New Delhi, 2002.
  • [14] G.O. Head, AutoLISP in Plain English, Venlana press, North Carolina, 1987.
  • [15] S. Kumar, R. Singh, A knowledge-based system for design of strip layout of metal stamping work on progressive die, Proceedings of the International Conference "Advances in Materials and Processing Technology" (AMPT-2006), Las Vegas, USA, 2006, AII 243 (CD-Rom).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BOS5-0019-0012
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