System and method for producing glue injection industrial brush by using injection molding machine

Through sensor array and multi-angle imaging technology, combined with core mapping and adaptive weighting analysis, the injection molding parameters are monitored and regulated in real time, and the problem of uneven bonding between glue and brush wire is solved, and the quality consistency and production efficiency of industrial brushes are improved.

CN120347968AActive Publication Date: 2025-07-22ANHUI LONGGUANG IND BRUSHMAKING CO LTD
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Patent Information

Application Number
CN202510266424.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-06
Publication Date
2025-07-22
Estimated Expiration
2045-03-06

AI Technical Summary

Technical Problem

In the existing injection molding process, dynamic fluctuations in parameters such as temperature, pressure and flow lead to uneven bonding between the glue and the brush wire, which is difficult to capture and quantify in real time, resulting in inconsistent quality and low production efficiency of industrial brush products.

Method used

The multi-parameter coupling index is generated by collecting working parameters in the sensor array, combining multi-angle imaging and morphological collaborative index, the injection molding process feature vector is constructed, and the kernel mapping and adaptive weighted typical correlation analysis is used to monitor and adaptively correct process parameters in real time to achieve flexible control of defects.

Benefits of technology

Accurate quantification and real-time regulation of brush defects is achieved, defect incidence is reduced, product quality consistency and production efficiency are improved.

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Abstract

The invention discloses a system and a method for producing a glue injection industrial brush by using an injection molding machine, and relates to the technical field of industrial brush processing, a multi-parameter coupling index is generated according to acquired working parameters, and the working parameters, the multi-parameter coupling index and a batch identifier in a corresponding time period are bound; the method comprises the following steps: performing multi-angle imaging on brushes, adding mark information sections, performing preprocessing, extracting candidate areas which may have defects, after detecting a plurality of defect areas, constructing a morphological synergy index to quantify the overall defect degree, and obtaining defect data of each brush; after a comprehensive index structure is constructed, an injection molding process feature vector is constructed, kernel mapping and an AWCCA method are utilized to calculate nonlinear correlation and local sensitivity between each working parameter and a form cooperation index, a working parameter interval is formulated, and a parameter modification suggestion is generated; in the production process, parameters are continuously corrected in a small-stride mode, the defect degree of the brush and the stability of the injection molding process are balanced, and more flexible regulation and control are achieved.
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