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A novel optimal working process in the design of parametric progressive dies

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Abstract

The objective of this study was to establish a genetic algorithm to solve the problems of ranking the working steps in progressive dies. The working area of punch in working station of progressive die was regarded as the basic reference for gene coding. The moment generated from punch to mold center is defined as fitness function. A common method, remainder stochastic sampling with replacement (RSSR), was adopted to carry out gene reproduction process calculation. We combined the fixed crossover rate and mutation rate to be the crossover and mutation process calculation basis and then obtained the optimum process in which the total moment relative to the mold center was at a minimum. Finally, we developed a “dimension-driven” Windows graphical program written in Visual C++ as an interface for parametric input and communicated with the ACAD software through a DXF file. This system is expected to be a helpful tool for designers facing demands for higher quality, lower cost and shorter delivery time for sheet metal products.

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Acknowledgement

It is gratefully acknowledged that this research was supported by the National Science Council under contract no. NSC-90-2212-E-011-040.

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Authors and Affiliations

  1. Department of Mechanical Engineering, De Lin Institute of Technology, No. 1, Lane 380, Ching-Yun Road, TuCheng, Taipei, Taiwan, Republic of China

    Hui-Chin Chang, You-Tern Tsai & Kuo-Tsai Chiu

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  1. Hui-Chin Chang
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  2. You-Tern Tsai
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  3. Kuo-Tsai Chiu
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Correspondence to Hui-Chin Chang.

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Chang, HC., Tsai, YT. & Chiu, KT. A novel optimal working process in the design of parametric progressive dies. Int J Adv Manuf Technol 33, 915–928 (2007). https://doi.org/10.1007/s00170-006-0527-1

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  • DOI: https://doi.org/10.1007/s00170-006-0527-1

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