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基于全息锥光的钛合金精锻叶片精密测量规划方法 被引量:2

Accuracy measurement planning method for titanium alloy precision forging blade based on holographic cone light
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摘要 为提高采用全息锥光传感器测量复杂钛合金锻造叶片的精度和前后缘位置的数据密度,提出了一种复杂钛合金叶片测量路径规划方法。在介绍了叶片截面型线上的关键点概念的基础上,利用三次有理样条函数对叶片截面型线的最大厚度和中弧线进行计算,获得了前缘点、后缘点和最大内切圆交点等8个关键点。利用8个关键点对截面型线进行了分割与延拓处理,进而提出了双向自适应路径规划方法。提出的方法在开发的四轴精密叶片测量设备上进行了应用,并通过实验验证了该方法的可行性与有效性。实验结果表明,所提出的方法可为精锻叶片自适应加工提供高精度的三维重构数据。 In order to improve the accuracy of measuring complex titanium alloy forging blades and the data density of front and rear edge positions with the holographic cone light sensor, a method of measuring path planning for complex titanium alloy blades was proposed. Based on the introduction of the concept of key points on the blade section line, the maximum thickness and the middle arc of the blade section line were calculated by using the cubic rational spline function, and eight key points such as leading edge point, trailing edge point and intersection of the maximum inscribed circle were obtained. Furthermore, the eight key points were used to segment and extend the section lines, and then a bi-directional adaptive path planning method was proposed. The proposed method was applied to the developed four-axis precision blade measuring equipment, and the feasibility and effectiveness of the method were verified by experiments. The experimental results show that the proposed method can provide high-precision 3 D reconstruction data for adaptive machining of precision forging blades.
作者 何万涛 邵光保 郭延艳 王磊 孟祥丽 He Wantao;Shao Guangbao;Guo Yanyan;Wang Lei;Meng Xiangli(School of Mechanical and Electrical Engineering,Lingnan Normal University,Zhanjiang 524048,China;Hubei Sanhuan Forging Co.,Ltd.,Gucheng 441700,China;School of Information Engineering,Lingnan Normal University,Zhanjiang 524048,China)
出处 《锻压技术》 CAS CSCD 北大核心 2019年第12期139-146,共8页 Forging & Stamping Technology
基金 国家自然科学基金资助项目(51675165,51505134)
关键词 全息锥光 钛合金精锻叶片 测量路径 自适应加工 三维重构 holographic cone light titanium alloy precision forging blade measurement path adaptive machining 3D reconstruction
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