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图学学报 ›› 2022, Vol. 43 ›› Issue (4): 715-720.DOI: 10.11996/JG.j.2095-302X.2022040715

• 数字化设计与制造 • 上一篇    下一篇

百叶轮抛磨叶片微结构区域识别及路径拼接方法研究

  

  1. 1. 太原理工大学机械与运载工程学院,山西 太原 030024;
    2. 精密加工山西省重点实验室,山西 太原 030024
  • 出版日期:2022-08-31 发布日期:2022-08-15
  • 作者简介:刘佳(1987),女,讲师,博士。主要研究方向为精密零件表面光整加工技术
  • 基金资助:
    国家自然科学基金项目(5210051406);山西省高校科技创新项目(RD2000003620)

Research on microstructure region identification and path splicing method of abrasive cloth wheel polishing blade

  1. 1. School of Mechanical and Transportation Engineering, Taiyuan University of Technology, Taiyuan Shanxi 030024, China;
    2. Key Laboratory of Precision Machining, Taiyuan Shanxi 030024, China
  • Online:2022-08-31 Published:2022-08-15
  • About author:LIU Jia (1987), lecturer, Ph.D. Her main research interest covers surface finishing technology of precision parts
  • Supported by:
    National Natural Science Foundation of China (5210051406); Shanxi University Science and Technology Innovation Project (RD2000003620)

摘要:

叶片型面具有曲率突变特性,需进行分区域加工,其微结构区域的精确识别和抛磨路径拼接是提高叶片表面质量一致性的关键。针对此类问题,提出一种依据截面线切向量夹角变化识别前、后缘微结构区域,根据截面线法向量配准识别叶根过渡圆弧微结构区域的方法,即根据百叶轮最大加工带宽度和抛磨点匹配法分别实现前、后缘和叶根过渡圆弧微结构区域与叶盆、叶背抛磨路径的拼接。仿真及实验结果表明,该方法相较传统圆弧识别方法,能更有效保留微结构区域轮廓信息,相比未考虑路径拼接的抛磨方式,抛磨后叶片型面轮廓精度提高 49.52%,表面粗糙度提高 57.31%,加工质量一致性提高 7.15%和 11.55%,证实了微结构区域的识别及路径拼接可有效提高叶片加工质量的一致性。

关键词: 叶片微结构, 百叶轮抛磨, 前后缘, 区域识别, 路径拼接

Abstract:

The blade profile is characteristic of abrupt curvature and needs to be processed in different areas. The precise identification of the microstructure area and the splicing of the polishing path are the key to improving the consistency of the blade surface quality. To address this problem, this paper proposed to identify the front and rear edge microstructure areas based on the tangent vector angle of the section line, and to identify the root transition arc microstructure area based on the normal vector registration of the section line. According to the matching of the maximum processing belt width and the polishing point, the transition arc microstructure area of the front, the rear edge, and the blade root was spliced with the blade pot and the blade back polishing path, respectively. Simulation and experimental results show that compared with traditional arc recognition methods, the proposed method can more effectively retain the contour information of the microstructure area. Compared with the polishing method without path splicing, the accuracy of the blade profile after polishing increased by 49.52%, the surface roughness by 57.31%, and the consistency of the processing quality by 7.15% and 11.55%. These results prove that the identification of the microstructure area and the path splicing can effectively improve the consistency of the blade processing quality.

Key words: blade microstructure, abrasive cloth wheel polishing, front and rear edges, area recognition, path splicing

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