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Cites:

Information Journal Paper

Title

GENETIC ALGORITHM APPLIED TO CUT SEQUENCING FOR SHEET METAL CUTTING

Pages

  73-81

Abstract

 During the press working process of the shearing progressive die, the position of the die's pressure center has a direct impact on whether the die can work accurately in balance. If the shearing progressive die suffers from being off-center the area close to the product edge may have a burr.This paper describes a system for feature recognition of sheet metal components from standard files and OPTIMAL STRIP WORKING SEQUENCE for shearing progressive die. The system initially recognizes the different kinds of internal and external cutting features then GENETIC ALGORITHMS (GA) are applied as a solution tool in the analysis of the OPTIMAL STRIP WORKING SEQUENCE possessing a smaller difference between the right and left torque in the shearing progressive die. The purpose is to reduce the time spent in adjusting the pressure center of the shearing progressive die. The system was developed using Microsoft Visual Basic. NET 2003.

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  • Cite

    APA: Copy

    KAZEROUNI, M., & AZAMIRAD, GH.. (2009). GENETIC ALGORITHM APPLIED TO CUT SEQUENCING FOR SHEET METAL CUTTING. JOURNAL OF TECHNOLOGY OF EDUCATION (JOURNAL OF TECHNOLOGY AND EDUCATION), 4(1), 73-81. SID. https://sid.ir/paper/155508/en

    Vancouver: Copy

    KAZEROUNI M., AZAMIRAD GH.. GENETIC ALGORITHM APPLIED TO CUT SEQUENCING FOR SHEET METAL CUTTING. JOURNAL OF TECHNOLOGY OF EDUCATION (JOURNAL OF TECHNOLOGY AND EDUCATION)[Internet]. 2009;4(1):73-81. Available from: https://sid.ir/paper/155508/en

    IEEE: Copy

    M. KAZEROUNI, and GH. AZAMIRAD, “GENETIC ALGORITHM APPLIED TO CUT SEQUENCING FOR SHEET METAL CUTTING,” JOURNAL OF TECHNOLOGY OF EDUCATION (JOURNAL OF TECHNOLOGY AND EDUCATION), vol. 4, no. 1, pp. 73–81, 2009, [Online]. Available: https://sid.ir/paper/155508/en

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