Injection process parameters optimization of base by grey correlation-entropy weight method
The handheld-fan base has complex structural characteristics including complex surfaces and multiple reinforce-ment ribs,the characteristics hinder the material flow and produce product defects such as weld lines,warpage and volume shrink-age,which affect the surface quality and dimensional accuracy of the product.To solve the above problems,the research on the opti-mization of injection molding process parameters of the fan base was conducted through the combination of theoretical algorithms and finite element simulation.Firstly,the number of cavities and gate positions were determined based on product characteristics,and preliminary analysis revealed significant shrinkage index in the product.Secondly,with warpage deformation and shrinkage index as optimization objectives,a central composite experiment scheme was established and simulation analysis was carried out,and multi-objective optimization was carried out by combining grey correlation and entropy weight method,the influence degree of the process parameters on grey correlation degree were determined to be in the following order:melt temperature,mould tempera-ture,injection time,holding pressure,holding time.Finally,the optimal process parameters combination was determined to be a melt temperature of 225℃,mould temperature of 30℃,injection time of 5 s,holding pressure of 20 MPa,and holding time of 30 s.Compared with the initial scheme,the shrinkage index under the optimal process parameters combination is reduced by 30.79%,due to the existence of reinforcement ribs,the warpage deformation before and after optimization has a small difference.
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