Abstract
Blade is the core component of aero-engine, and its manufacturing capability improvement has always been the focus of aviation manufacturing industry. With the high-efficiency machining of multi-spindle machine tool, this paper proposes a synchronous polishing method based on the cluster grouping of actual blade profile. Firstly, the multi-spindle machining system, flexible polishing with determined path, and synchronous polishing process cycle are analyzed in detail. Secondly, the allowable difference within group is determined by the relationship of polishing compression and surface roughness/removal. Then, the distribution of grouping mark points is determined by the profile differences of sampled blades. Thirdly, the consistency of each two blade profiles is expressed as the vector difference of measurement data, and the grouping result can be established with the Ray-Turi index. Finally, a typical blade is used to demonstrate the effectiveness and efficiency. After multi-spindle synchronous polishing, the average synchronous polishing cycle time is 3.14 times less than single-spindle machine tool, the profile error and its difference are less than 0.0685 mm and 0.048 mm, the surface roughness can satisfy \({Ra}\le 0.4 {\mu m}\), which can meet the design requirement of aero-engine blade.
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Funding
This work was supported by the National Defense Basic Scientific Research program of China (JCKY202120bB507), R&D Program of Beijing Municipal Education Commission and the Aeronautical Science Foundation of China (20200016112001).
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Zhuang Yun, Chen Zhitong, and Wang Xiaodong. The first draft of the manuscript was written by Zhang Yun and Zhu Zhengqing. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Yun, Z., Wang, X., Chen, Z. et al. A synchronous polishing method for aero-engine blade based on multi-spindle machine tool. Int J Adv Manuf Technol 123, 1669–1678 (2022). https://doi.org/10.1007/s00170-022-10025-5
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DOI: https://doi.org/10.1007/s00170-022-10025-5