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A hybrid hint-based and fuzzy comprehensive evaluation method for optimal parting curve generation in injection mold design

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Abstract

Optimal parting curve contributes to simplify mold structure, reduce the cost of mold manufacturing and injection production. As it depends on a series of technique, such as undercut feature recognition, mold piece region recognition, parting curve assessment, and etc., optimal parting curve generation is still a complicated and time-consuming task. A hybrid hint-based and fuzzy comprehensive evaluation method is proposed in this paper to recognize mold piece region and generate optimal parting curve for 3D CAD model in injection mold design. The hint topological regions are innovatively defined and classified into three categories: concave-edge region, inner loop region, and isolated surface. Based on this, potential mold piece region is defined and recognized by the surface visibility. Exact region is recognized from the potential mold piece region by the hint derived from adjacency relationship of topological regions. Inexact region is recognized from these topological regions that are not exact regions through their adjacent information. Candidate mold piece region set is then constructed by the combination of exact region and inexact region. Boundary edges of each candidate mold piece region are extracted to form the parting curve scheme set. By using the parting curve evaluation model which is based on fuzzy comprehensive evaluation method, the parting curve with the best assessment result is selected as the optimal scheme. Finally, case study is provided to validate the feasibility and effectiveness of the proposed approach.

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Data availability

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

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Funding

This study was funded by the Key-Area Research and Development Program of Guangdong Province (Grant No. 2019B090918001).

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Authors and Affiliations

  1. State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Binkui Hou, Zhigao Huang, Huamin Zhou & Dequn Li

Authors
  1. Binkui Hou
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  2. Zhigao Huang
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  3. Huamin Zhou
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  4. Dequn Li
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Contributions

Dequn Li and Huamin Zhou conceived the idea; Zhigao Huang and Binkui Hou conducted the analyses; all authors contributed to the writing and revisions.

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Correspondence to Zhigao Huang.

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

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Hou, B., Huang, Z., Zhou, H. et al. A hybrid hint-based and fuzzy comprehensive evaluation method for optimal parting curve generation in injection mold design. Int J Adv Manuf Technol 112, 2133–2148 (2021). https://doi.org/10.1007/s00170-020-06461-w

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  • DOI: https://doi.org/10.1007/s00170-020-06461-w

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