Mold detection method for electric injection molding machine

Abstract

The invention discloses a mold detection method for an electric injection molding machine. The method comprises the steps of obtaining a residue-free rectangular standard mold image as a standard template image, removing a background region of the standard template image to obtain a mold region, normalizing the size of the standard template image to LXL, segmenting the standard template image into m sub-template images with the sizes of WXW, and extracting an eigenvalue of each sub-template image; collecting a to-be-detected mold image after mold opening, extracting an edge image of the to-be-detected mold image, and segmenting out the mold region of the image; normalizing the to-be-detected mold image to LXL, segmenting the to-be-detected mold image into m sub-images with the sizes of WXW, and extracting an eigenvalue of each sub-image; and comparing the eigenvalues of the sub-template images of the standard template image with the eigenvalues of the sub-images of the to-be-detected mold image to obtain a status of residues of the to-be-detected mold image. According to the method, the status of the residues in a mold can be quickly and accurately detected, so that the detection efficiency is improved and the automation degree of the mold processing industry is increased.

Description

technical field [0001] The invention relates to a method for detecting molds of electric injection molding machines, in particular to a method for detecting residues on the surface of electric injection molding molds. Background technique [0002] In recent years, with the rapid advancement of science and technology, the domestic economy has shown good development, and the development of the plastics industry has also made great progress. As the main plastic product production machinery, injection molding machines are constantly improving in performance and automation. The manipulator is used to cooperate with the injection molding machine for production. During the production process of the injection molding machine, after the injection molding machine product is formed, the mold is opened, and after the manipulator finds and grabs the product, there are often abnormal demoulding phenomena such as plastic residue and incomplete demoulding. If it is not disposed of in time,...

AI Technical Summary

Problems solved by technology

The manipulator is used to cooperate with the injection molding machine for production. During the production process of the injection molding machine, after the injection molding machine product is formed, the mold is opened, and after the manipulator finds and grabs the product, there are often abnormal demoulding phenomena such as plastic residue and incomplete demoulding. If it is not handled in time, the residue under the huge impact force of the injection molding machine will cause great damage to the mold, seriously affect the production efficiency and increase the production cost

At present, the main mold protection methods are all-electric and oil pressure. The all-electric type cannot quickly detect the existence of residues when the current output lag time in the injection molding machine is too long; while the oil pressure type is in the process of positioning the moving mold There is a large deviation, resulting in a large gap between the actual position and the measured position, and the detection is inaccurate

In addition, the manual detection method is the most widely used detection method at present, but the visual fatigue caused by too long working hours can easily lead to false detection and missed judgment, resulting in unnecessary shutdown and even damage to the mold

[0003] At present, domestic image processing and recognition technology is developing rapidly, gradually developing towards digitization and intelligence, and has applications in many fields such as transportation, exploration, medicine, industry, etc., but the application in the protection of injection molding machine molds is still relatively small, so

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