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Related Experiment Video

Updated: May 23, 2026

A Soft Tooling Process Chain for Injection Molding of a 3D Component with Micro Pillars
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Multi-Objective Optimization of Injection Molding Process Parameters of Car Lamp Shell Based on Grey Correlation

Ruixia Shan1, Anqin Liu1, Sen Jia1

  • 1School of Mechanical and Electrical Engineering, Yantai Institute of Technology, Yantai 264005, China.

Polymers
|June 13, 2025
PubMed
Summary

This study optimized car lamp shell injection molding using advanced analysis methods. Results show significant reductions in indentation and warpage, improving overall product quality.

Keywords:
CRITIC methodgrey relational analysisinjection molding process parametermulti-objective optimization

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Area of Science:

  • Manufacturing Engineering
  • Materials Science
  • Polymer Processing

Background:

  • Injection molding is crucial for automotive components like lamp shells.
  • Achieving high-quality parts requires precise control over numerous process parameters.
  • Warpage and shrinkage are common defects affecting dimensional accuracy and performance.

Purpose of the Study:

  • To optimize injection molding parameters for car lamp shells.
  • To minimize shrinkage index and total warpage deformation.
  • To enhance the overall forming quality of automotive lamp shells.

Main Methods:

  • Utilized orthogonal tests, signal-to-noise ratio, gray correlation analysis, and CRITIC weight method.
  • Analyzed the influence of mold temperature, melt temperature, injection time, velocity to pressure control, pressure holding pressure, and pressure holding time.
  • Transformed multi-objective optimization into a single-objective optimization problem.

Main Results:

  • Reduced indentation index of the headlight shell by 33.95%.
  • Decreased total warpage deformation by 13.99%.
  • Significantly improved the forming quality of the headlight shell.

Conclusions:

  • The optimized parameter set effectively enhances car lamp shell quality.
  • The methodology provides a theoretical basis for plastic injection molding multi-objective optimization.
  • This research contributes to improved manufacturing processes in the automotive industry.