复杂曲面七轴五连杆磨削抛光机床的运动规划与现场测量

IF 2.7 4区 工程技术 Q2 ENGINEERING, MANUFACTURING Machining Science and Technology Pub Date : 2022-03-04 DOI:10.1080/10910344.2022.2044854
Cheng Fan, Kunshan Xu, Lei Zhang, Qiang Yuan, Qian Wang, Kejun Wang, Lining Sun
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引用次数: 0

摘要

摘要开发了一种用于制造和测量叶盘等复杂曲面的七轴五连杆抛光原位测量一体化机床。本文首先介绍了该机床的结构和配置。然后,分别对机床的抛光侧和测量侧进行了运动学分析,导出了它们的运动学逆解。通过运动学逆解,可以基于复杂曲面的工具位置来计算每个轴的运动。针对复杂曲面零件的现场测量,提出了叶片表面正运动学解、测量数据的处理和加工余量的计算算法。最后,通过对实验不锈钢样品的抛光验证了上述算法。
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Kinematic planning and in-situ measurement of seven-axis five-linkage grinding and polishing machine tool for complex curved surface
Abstract An integrated polishing and in-situ measurement machine tool with seven-axis and five-linkage is developed for manufacturing and measuring the complex curved surface such as blisk. Firstly, this paper introduces the structure and configuration of the machine tool. Then, the kinematic analyses of the polishing side and measuring side of the machine tool are carried out respectively and the inverse kinematic solutions of them are derived. The motion of each axis can be calculated based on the tool location of the complex curved surface through the inverse kinematic solution. Aiming at the in-situ measurement of parts with complex curved surfaces, the forward kinematic solution, the processing of measured data of blade surface and the calculation algorithm of the machining allowance are developed in the paper. Finally, the above algorithms are verified by polishing the experimental stainless-steel sample.
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来源期刊
Machining Science and Technology
Machining Science and Technology 工程技术-材料科学:综合
CiteScore
5.70
自引率
3.70%
发文量
18
审稿时长
6 months
期刊介绍: Machining Science and Technology publishes original scientific and technical papers and review articles on topics related to traditional and nontraditional machining processes performed on all materials—metals and advanced alloys, polymers, ceramics, composites, and biomaterials. Topics covered include: -machining performance of all materials, including lightweight materials- coated and special cutting tools: design and machining performance evaluation- predictive models for machining performance and optimization, including machining dynamics- measurement and analysis of machined surfaces- sustainable machining: dry, near-dry, or Minimum Quantity Lubrication (MQL) and cryogenic machining processes precision and micro/nano machining- design and implementation of in-process sensors for monitoring and control of machining performance- surface integrity in machining processes, including detection and characterization of machining damage- new and advanced abrasive machining processes: design and performance analysis- cutting fluids and special coolants/lubricants- nontraditional and hybrid machining processes, including EDM, ECM, laser and plasma-assisted machining, waterjet and abrasive waterjet machining
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