# Multi-Objective Optimization of Injection Molding Process Parameters of Car Lamp Shell Based on Grey Correlation Analysis

## TL;DR

This paper improves car lamp shell injection molding quality by optimizing process parameters using statistical and analytical methods.

## Contribution

A novel approach combining grey correlation analysis and CRITIC weight method for multi-objective optimization in injection molding.

## Key findings

- Indentation index of the headlight shell decreased by 33.95% after optimization.
- Total warpage deformation was reduced by 13.99% using the optimal parameter set.

## Abstract

In order to improve the injection molding quality of the car lamp shell, orthogonal test, signal-to-noise ratio, gray correlation analysis, and CRITIC weight method were used to analyze the influence of mold temperature, melt temperature, injection time, velocity to pressure control, pressure holding pressure and pressure holding time on the shrinkage index and the total deformation of warpage, and fully consider the difference and correlation between the evaluation parameters. The multi-objective optimization is transformed into single-objective optimization, and the optimal parameter set is obtained. The experimental results show that, compared with the initial analysis results, the indentation index of the headlight shell is reduced by 33.95%, the total warpage deformation is reduced by 13.99%, and the forming quality of the headlight shell is improved. The research results provide a theoretical reference value for multi-objective optimization of plastic injection molding process parameters.