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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Figure CN122263271A_ABST
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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