Spray coating workpiece mounting position coating precision removal system and method

By combining a visual scanning module and a deep reinforcement learning strategy, laser parameters and trajectories are dynamically adjusted to achieve efficient and precise removal of coatings from mounting holes on sprayed workpieces. This solves the problems of low efficiency and insufficient precision in traditional manual operations and adapts to the complex surface processing needs of multi-material coatings.

CN121004355BActive Publication Date: 2026-08-07SHANGHAI GESI INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202511124562.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-12
Publication Date
2026-08-07
Estimated Expiration
2045-08-12

AI Technical Summary

Technical Problem

Traditional spray coating removal of workpiece mounting holes relies on manual operation, which has problems such as low efficiency, insufficient precision, poor adaptability to complex curved surfaces, tape residue affecting assembly accuracy, and high rework rate.

Method used

By employing a visual scanning module combined with 3D point cloud data and deep reinforcement learning strategies, laser parameters and trajectories are dynamically adjusted. Precise removal is achieved through collaborative operation of multiple robotic arms, and auxiliary devices are introduced for real-time monitoring and cleaning.

Benefits of technology

It achieves coating removal accuracy within ±2μm at hole edges, reduces the defect rate to below 0.3%, improves efficiency by 8-10 times, reduces labor costs and rework rate, and is suitable for multi-material composite coatings.

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Abstract

The application provides a spraying workpiece installation site coating precise removal system and method, relates to the surface treatment technical field in mechanical manufacturing, and the system comprises a visual scanning module, a positioning module, a control system, an executing mechanism, a real-time monitoring module and an auxiliary device, and the method comprises the following steps: system initialization and calibration steps, visual scanning and hole site three-dimensional positioning steps, path planning and laser parameter adaptation steps, multi-mechanical arm collaborative work deployment steps, coating removal execution and real-time regulation steps and quality detection and correction steps. The application realizes a dynamic coupling adjustment mechanism of the track point density and the laser parameter, improves the scanning rate to improve the efficiency, achieves the double optimization goals of efficiency and quality, and provides a basis for realizing efficient and intelligent laser coating removal.
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