Method and device for optimizing casting process parameters of automobile based on thermal imaging feedback of cylinder liner

By using infrared image acquisition based on cylinder liner thermal imaging and a convolutional neural network model, combined with particle swarm optimization, real-time prediction and adaptive adjustment of automotive casting process parameters were achieved. This solved the problem of insufficient dynamic feedback in existing technologies and improved the intelligence level of the casting process and product consistency.

CN122263271APending Publication Date: 2026-06-23GUANGDONG HONGTEO ACCURATE TECH ZHAOQING CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG HONGTEO ACCURATE TECH ZHAOQING CO LTD
Filing Date
2026-03-30
Publication Date
2026-06-23

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Abstract

The application provides an automobile casting process parameter optimization method and device based on cylinder liner thermal imaging feedback, constructs an intelligent optimization path from thermal image collection to parameter prediction and then to control feedback, effectively makes up for the shortcomings of lack of dynamic feedback, insufficient perception and optimization lag in the prior art, and improves the intelligent level and product consistency of the production process of automobile key castings.
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