Optimization method for plastic injection molding technological parameter

A technology for process parameter optimization and injection molding, which is used in electrical digital data processing, special data processing applications, instruments, etc., and can solve problems such as difficulty in accurate adjustment, large deviation, and cumbersome process parameter setting process.

Active Publication Date: 2014-07-09
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0035] The invention provides a method for optimizing process parameters of plastic injection molding, which solves the problems of large deviation from the actual situatio

Method used

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  • Optimization method for plastic injection molding technological parameter
  • Optimization method for plastic injection molding technological parameter
  • Optimization method for plastic injection molding technological parameter

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Experimental program
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Embodiment Construction

[0149] The present invention is further described below in conjunction with embodiment.

[0150] The injection molding machine used in the experiment is FANUCS2000i150A of Japan FANUC Company, and the experimental material is POM (polyoxymethylene) plastic.

[0151] Such as figure 1 As shown, the embodiment of the present invention includes a preliminary optimization step and a re-optimization step;

[0152] (1) Preliminary optimization step, including the following sub-steps:

[0153] (1.1) Determine process parameters and their value ranges:

[0154] The process parameters include melt temperature T p , mold temperature T m , injection rate V, holding pressure P, holding time t p , cooling time t c ;

[0155] The selected plastic category: POM, grade: POM Generic Estimates, manufacturer: CMOLD Generic Estimates, according to the plastic database in the plastic injection molding CAE simulation software HSCAE can get 180 ℃ ≤ T p ≤235℃, 50℃≤T m ≤105℃;

[0156] The flo...

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Abstract

The invention discloses an optimization method for a plastic injection molding technological parameter and belongs to technological parameter optimization methods, solving the problems that an existing optimization method for the plastic injection molding technological parameter is large in actual deviation, difficult to adjust accurately and tedious in a technological parameter setting process. The optimization method comprises an initial optimization step and a secondary optimization step, wherein primary and secondary factors of the technological parameter and optimal levels of the factors can be rapidly established in the initial optimization step, the obtained technological parameter serves as the initial technological parameter of the secondary optimization step, and thus testing times on an injection molding machine are greatly reduced; the secondary optimization step adopts a learning algorithm to perform online optimization, so that an optimizing iteration process can be sped up, the convergence of the iteration process can be ensured, and the optimal injection molding technological parameter can be obtained through several times of testing.

Description

technical field [0001] The invention belongs to a process parameter optimization method, in particular to a plastic injection molding process parameter optimization method. Background technique [0002] Plastic injection molding is to make the plastic evenly plasticized in the heating barrel, and then pushed by the plunger or screw into the cavity of the closed mold to cool and solidify to obtain plastic products. Plastic injection molding equipment is an injection molding machine. [0003] In the plastic injection molding production process, there are many and complex factors affecting the quality of plastic products, including raw materials, injection molding machines, molds and molding processes, but after the raw materials, injection molding machines, molds, etc. are determined, the most important factor determining the quality of plastic products is Molding. Molding process parameters have also become the fastest and lowest cost factor to control the quality of inject...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 张云周华民李德群崔树标黄志高高煌朱伟
Owner HUAZHONG UNIV OF SCI & TECH
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