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CSME 2024/05
Volume 45 No.2
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145-159
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Injection Molding and Process Parameter Optimization of All-Plastic Front Door Sill Pressure Plate for Automobile
Lu Wanga and Lingfeng Tangb
aSchool of Mechanical Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, China
bSchool of Mechanical Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, China.
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Abstract:
With the continuous development of plastic strip steel technology, optimization of plastic part process parameters has become one of the hot research in the field of injection molding. This paper takes the automobile front door sill pressure plate as the research object and compares the results of filling time, cavitation, and weld line during the filling process by Moldflow analysis to determine the optimal number and position of gates. Five parameters such as mold temperature and melt temperature were selected as experimental factors, volume shrinkage and warpage are used as evaluation indicators, design of signal-to-noise ratio-based orthogonal tests, determined the optimal combination of process parameters using grey correlation analysis, the results showed that the volume shrinkage and warpage deformation of the two evaluation indexes were reduced by 22.27% and 20.82%, respectively, after optimization. The set of Pareto solutions for volume shrinkage and warping deformation is then obtained by building an Ellipsoidal Basis Function Neural Network (EBFNN) model combined with a Non- dominated Sorting Genetic Algorithm (NSGA-II), the optimum process parameters were determined as mold temperature 40.5°C, melt temperature 221.4°C, injection time 3.9s, packing pressure 54.8 MPa and packing time 39.6s, the maximum volume shrinkage of the optimized part is 5.475%, the warpage deformation is 1.010mm.
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Keywords: injection molding process parameters, orthogonal test, EBFNN, NSGA-II.
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*Corresponding author; e-mail:
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©
2024
CSME , ISSN 0257-9731
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