Injection molding defect online correcting method and injection molding machine

Abstract

The invention discloses an injection molding defect online correcting method and an injection molding machine. The method comprises the following steps: (1) determining optimization parameters and number; (2) setting background data according to injection molding technological parameters required to be optimized and defect types; (3) testing a mold and feeding back the quality; (4) carrying out normalization processing on the test mold technological parameters; (5) solving the optimal problem; (6) calculating the optimal hyperplane of the technology; (7) calculating the corrected technological parameters; (8) carrying out inverse normalization on the technological parameters, acquiring the actual test mold technological parameters, and testing the mold. The invention also provides the injection molding machine based on the online correction injection molding defect method. According to the invention, the sample data are subjected to pretreatment, and rules are introduced into the test mold data in the form of background data; the problem of organization and expression difficulty of rules of an expert system and reasoning based on rules, as well as the problems of high requirements for samples and collection difficulty for artificial neural network and living example reasoning can be overcome.

Description

technical field [0001] The invention belongs to the technical field of plastic injection molding, and more specifically relates to an online correction method for injection molding defects and an injection molding machine. Background technique [0002] In the production process of plastic injection molding, there are many and complicated factors that affect the quality of products, mainly including raw materials, injection machines, molds and molding process parameters. After the determination of raw materials, injection machines, and molds, the most important factor affecting the quality of plastic products is the molding process parameters. Therefore, how to adjust and optimize the injection molding process parameters in order to obtain products with stable quality has become an urgent problem to be solved. [0003] Currently widely researched plastic injection molding defect correction methods include experimental optimization design, expert system, rule-based reasoning,...

AI Technical Summary

Problems solved by technology

However, expert systems and rule-based reasoning have problems in the organization and expression of rules; artificial neural networks and case-based reasoning have bottlenecks in sample collection, and they have high requirements for samples. Only correct and sufficient learning samples can ensure the accuracy of reasoning. accuracy

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