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Algorithm for automatic parting of injection mold based on solid parting method

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Abstract

With the widespread application of mold CAD technology, it is a necessary design link for designers of mold enterprises to use three-dimensional software for mold parting design. Parting design is the most complex and key part of the whole injection mold design process. It is directly related to the success or failure of the whole mold design. In view of many problems existing in the current parting design system, such as frequent human–computer interaction, cumbersome operation, low efficiency, and heavy dependence on the experience and knowledge of designers and their software operation level, an automatic parting design algorithm based on the solid method is proposed and implemented in the developed mold automatic parting system (Auto_Mold_Parting). Experimental results show that this system can significantly decrease the time of design and guide users to quickly complete the design while reducing design errors to improve working efficiency by the automatic integration function.

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All data and models generated or used during the study appear in the submitted manuscript.

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All code generated or used during the study appears in the submitted manuscript.

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Authors and Affiliations

  1. Institute of Intelligent Manufacturing, Zhejiang Institute of Mechanical & Electrical Engineering, Hangzhou, 310053, China

    Jing Wang & Lizheng Jiang

  2. School of Architecture and Engineering, Zhejiang Changzheng Vocational & Technical College, Hangzhou, 310053, China

    Xuemin Liu

Authors
  1. Jing Wang
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  2. Xuemin Liu
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  3. Lizheng Jiang
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Contributions

Jing Wang and Xuemin Liu conceived the idea; Jing Wang conducted the analyses; Jing Wang and Lizheng Jiang participated in the development and testing of the prototype system; all authors contributed to the writing and revisions.

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Correspondence to Jing Wang.

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Wang, J., Liu, X. & Jiang, L. Algorithm for automatic parting of injection mold based on solid parting method. Int J Adv Manuf Technol 124, 2059–2077 (2023). https://doi.org/10.1007/s00170-022-10599-0

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  • DOI: https://doi.org/10.1007/s00170-022-10599-0

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