Optimization of Injection Molding for Robotic Vacuum Cleaner Housing Components Using an Integrated Mold Flow Analysis and Grey Relational Approach

Authors

  • Jingzeng Gu
  • Junjie Wang
  • Xinxin Cao

DOI:

https://doi.org/10.54097/54yj4219

Keywords:

Sweeping Robot Shell, Orthogonal Test, Grey Correlation Analysis, Process Optimization, Deformation, Volume Shrinkage Rate

Abstract

Taking the sweeping robot shell as the research object, the injection molding simulation was carried out by Moldflow software. Aiming at the volume shrinkage and deformation defects in the injection molding process, the orthogonal test was designed with melt temperature, mold temperature, holding time, holding pressure and cooling time as factors, and the molding process parameters were optimized based on grey correlation analysis. Through the range analysis of the grey correlation degree value, the influence degree of each process parameter on the grey correlation degree value is ranked as follows: melt temperature > mold temperature > holding pressure > holding time > cooling time. The optimum process parameters are as follows: melt temperature 190 °C, mold temperature 70 °C, holding time 12 s, holding pressure 37 MPa, cooling time 16 s. Compared with the default parameters, the X-direction deformation is reduced by 0.343 mm compared with the default process combination, and the volume shrinkage rate is reduced by 3.034 % compared with the default process combination. The results show that the grey correlation theory analysis can obtain a relatively good optimization effect, which can effectively improve the molding quality of the product.

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Published

10-03-2026

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Section

Articles

How to Cite

Gu, J., Wang, J., & Cao, X. (2026). Optimization of Injection Molding for Robotic Vacuum Cleaner Housing Components Using an Integrated Mold Flow Analysis and Grey Relational Approach. Academic Journal of Science and Technology, 20(1), 70-76. https://doi.org/10.54097/54yj4219