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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
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.
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.
Keywords:
CRITIC methodgrey relational analysisinjection molding process parametermulti-objective optimizationMore Related Videos
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