Robotic grinding and polishing of complex aeroengine blades based on new device design and variable impedance control

IF 9.1 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Xiangfei Li, Huan Zhao, Haoyuan Zhou, Yuanhao Cai, Yecan Yin, Han Ding
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引用次数: 0

Abstract

Owing to the advantages of good flexibility and low cost, robots are gradually replacing manual labor as an effective carrier for the grinding and polishing of aeroengine blades. However, the geometric features of blades are complex and diverse, and the contour accuracy and surface quality requirements are high, making the robotic grinding and polishing of blades still a challenging task. For this reason, this article first designs a new device by integrating different tools, which can achieve full-feature grinding and polishing of blades. Then, in order to improve the accuracy and stability of force tracking during the robotic grinding and polishing processes, a variable impedance control approach with simultaneous changes in stiffness and damping and parameter boundaries is proposed. Finally, the superiority of the proposed variable impedance control method is verified by comparative experiments on surface tracking. In addition, by combining the device with the variable impedance control method in the robotic grinding and polishing experiments of an aeroengine blade, their effectiveness in practical situations is confirmed.

基于新设备设计和可变阻抗控制的复杂航空发动机叶片机器人打磨和抛光技术
由于具有灵活性好、成本低等优点,机器人正逐渐取代人工,成为航空发动机叶片打磨和抛光的有效载体。然而,叶片的几何特征复杂多样,轮廓精度和表面质量要求高,使得叶片的机器人打磨和抛光仍是一项具有挑战性的任务。为此,本文首先通过整合不同工具设计了一种新装置,可实现叶片的全功能打磨和抛光。然后,为了提高机器人打磨和抛光过程中力跟踪的准确性和稳定性,提出了一种同时改变刚度和阻尼以及参数边界的可变阻抗控制方法。最后,通过表面跟踪对比实验验证了所提出的可变阻抗控制方法的优越性。此外,通过在航空发动机叶片的机器人打磨和抛光实验中将该装置与可变阻抗控制方法相结合,证实了它们在实际应用中的有效性。
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来源期刊
Robotics and Computer-integrated Manufacturing
Robotics and Computer-integrated Manufacturing 工程技术-工程:制造
CiteScore
24.10
自引率
13.50%
发文量
160
审稿时长
50 days
期刊介绍: The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.
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