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在高温高压环境下运行的燃气轮机叶片容易发生损伤，进而导致性能下降。激光熔覆作为一种有效的修复手段，其修复效果高度依赖于叶片的精确定位。为此，提出一种基于融合视觉和力觉反馈的叶片自适应定位修复方法。利用模板匹配方法实现对工件在二维水平面的非接触式定位，并设计力觉定位系统，通过恒力推压的方式完成竖直方向的接触式定位。引入基于图像投影的模型位置配准方法，并结合轮廓自适应路径填充策略，实现在欠定位条件下叶片的自适应定位修复。试验结果表明，此方法定位误差小于0.04 mm，修复精度小于0.23 mm，能有效恢复叶片尺寸。此方法能够简化工件定位步骤，提高修复精度和效率，为曲面零件的激光熔覆修复提供了一种切实可行的解决方案。
Abstract：The gas turbine blades operating in high-temperature and high-pressure environments are prone to damage, which leads to performance degradation. As an effective repair method, laser cladding is highly dependent on the precise positioning of the blades for optimal repair results. To this end, a blade adaptive positioning and repair method that integrates vision and force feedback is proposed. The template matching method is employed to achieve non-contact positioning of the workpiece on a two-dimensional horizontal plane, and a force positioning system is designed to complete contact positioning in the vertical direction through constant force pushing. The model position registration method based on image projection is introduced, combined with the contour adaptive path filling strategy, to realize the adaptive positioning and repair of the blade under under-positioning conditions. Experimental results show that the positioning error is less than 0.04 mm, the repair accuracy is less than 0.23 mm, and the blade size is effectively restored. This method simplifies the workpiece positioning steps, improves repair accuracy and efficiency, and provides a practical solution for the laser cladding repair of curved surface parts.
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基本信息:
DOI：
中图分类号:TG665;TK474.811
引用信息:
[1]陈晟,蔡国双,庄斌等.基于视觉和力觉反馈的叶片自适应定位修复技术研究[J].机械,2025,52(08):34-41.
基金信息:
四川省防腐实验室开发课题（2024CL01）