Injection molding part mold parameter optimization method based on GA-ELM-GA

An optimization method and technology of injection molded parts, applied in the direction of gene model, design optimization/simulation, genetic rules, etc., can solve problems such as warpage and deformation of injection molded parts, and achieve the effect of improving the quality of injection molding

Inactive Publication Date: 2021-07-13
GUIZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a GA-ELM-GA-based method for optimizing the mold parameters of injection molded parts to solve the problem of warping and deformation in injection molding of injection molded parts

Method used

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  • Injection molding part mold parameter optimization method based on GA-ELM-GA
  • Injection molding part mold parameter optimization method based on GA-ELM-GA
  • Injection molding part mold parameter optimization method based on GA-ELM-GA

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Embodiment Construction

[0028] Analysis on the structure and manufacturability of the electric button cover shell

[0029] Electric buckle cover structure

[0030] The basic size of the electrical buckle cover is 670mm×104mm×70mm, which belongs to the size of medium-sized parts, and is composed of figure 1 The structural diagram of the electrical buckle cover shows that some areas of the plastic part are irregular in shape, containing various molding features such as bosses, holes, ribs, and grooves, and are prone to warping and deformation.

[0031] Manufacturability Analysis of Electric Button Cover Shell

[0032] The plastic part of the electrical button cover shell is used in the packaging of electrical parts, mainly to protect personal safety and maintain the life of electrical parts, and has high requirements in terms of performance and appearance. The maximum thickness of the plastic part measured by NX12.0 is 4.91, and the average wall thickness is 1.94. In some areas, the wall thickness is...

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Abstract

The invention discloses an injection molding part mold parameter optimization method based on a GA-ELM-GA (Genetic Algorithm-Extreme Learning Model-Genetic Algorithm). The method specifically comprises the following steps that the influence degree of process parameters on the buckling deformation of a plastic part is found out through orthogonal experimental design and range analysis, and a nonlinear function relationship between the buckling deformation and injection molding process parameters is fitted by utilizing an ELM model optimized by a genetic algorithm; and finally, a genetic algorithm is adopted to optimize the extremum of the GA-ELM network model after fitting, small buckling deformation is found out, and the actual buckling deformation problem of air conditioner support injection molding is solved to a certain extent.

Description

technical field [0001] The invention relates to a GA-ELM-GA-based method for optimizing the mold parameters of injection molded parts, which belongs to the field of computer simulation of material forming. Background technique [0002] In the actual production process, if the molding quality or function of the injection molded parts does not meet the molding requirements, generally try not to change the mold structure, but to adjust and optimize the process parameters. Warping deformation is a common defect of injection molded parts, which directly affects the manufacturing process. Part molding quality. There are many methods to optimize the process parameters of injection molded parts. Many scholars combine computer simulation technology (Moldflow) with orthogonal experiment, Kringing model, response surface method, Taguchi experiment and other statistical experimental methods to study the relationship between different process parameters and the quality of injection molde...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B29C45/76G06F30/20G06N3/12
CPCB29C45/768G06F30/20G06N3/126B29C2945/76979B29C2945/76943
Inventor 薛茂远梅益
Owner GUIZHOU UNIV
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