Multi-target optimization method for injection molding process parameters of thin-walled injection molded part

Abstract

The invention discloses a multi-target optimization method for injection molding process parameters of a thin-walled injection molded part. The multi-target optimization method is the method of optimizing forming process parameters of the thin-walled injection molded part based on an entropy evaluation method, a random forest and a genetic algorithm. The multi-target optimization method comprisesthe following steps of firstly, carrying out injection molding simulation based on an orthogonal test and Moldflow; then converting multi-objective optimization into single object optimization by adopting the entropy evaluation method; then dividing an orthogonal test result into a training set and a test set randomly as a sample set and establishing a regression model of the training set by meansof the random forest algorithm; and finally, carrying out global optimization on the established regression model by means of the genetic algorithm to acquire the optimum process parameters. The multi-target optimization method can achieve purposes of reducing the energy loss and saving energy sources by reducing a mold clamping force on the premise of guaranteeing the forming quality of the injection molded part by minimum warping and volume shrinkage, so that the multi-target optimization method is particularly suitable for optimizing the injection molding process parameters of the thin-walled injection molded part.

Description

technical field [0001] The invention relates to a multi-objective optimization method for injection molding process parameters, in particular to a multi-objective optimization method for injection molding process parameters of thin-wall injection molding parts based on entropy method, random forest and genetic algorithm, and belongs to the technical field of injection molding. Background technique [0002] With the rapid development of industrial technology, plastic products with low cost and strong plasticity are widely used in various fields, and injection molding is the most important processing method for producing high-performance plastic products, which can produce plastics with complex structures with high precision. pieces. However, the traditional mold design and injection molding processing methods cannot meet the production requirements, not only the production cycle is long, but also the manufacturing cost is high. Computer Aided Engineering (CAE) technology emer...

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Problems solved by technology

However, the existing optimization methods are all single-objective programming problems, and in actual production, in addition to the above-mentioned injection molding process parameters that will affect the molding quality of plastic parts, the energy consumption problem that is directly reflected in the maximum clamping force will also be Affect the molding quality of plastic parts, especially for thin-walled injection molded parts. Excessive clamping force will cause waste of resources, while insufficient clamping force will cause defects such as flashing of plastic parts.

There is currently no documented research on simultaneous optimization of quality (warpage, volumetric shrinkage) and energy consumption (maximum clamping force)

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