A new approach to identifying the dynamic behavior of CNC machine tools with respect to different worktable feed speeds |
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| Affiliation: | 1. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, PR China;2. National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan 430074, PR China;1. The University of British Columbia, Department of Mechanical Engineering, Manufacturing Automation Laboratory, 2054-6250 Applied Science Lane, Vancouver, BC V6T 1Z4, Canada;2. State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai 200240, PR China;1. State Key Laboratory for Manufacturing Systems Engineering, Xi׳an Jiaotong University, Xi׳an, Shaanxi 710054, China;2. School of Mechanical Engineering, Xi׳an Technological University, Xi׳an, Shaanxi 710032, China;1. Department of Mechanical Engineering, Middle East Technical University, Ankara 06800, Turkey;2. Manufacturing Research Laboratory, Sabanci University, İstanbul 81474, Turkey;1. Institute of Manufacturing Engineering, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Szczecin, Piastów 19, 70-310 Szczecin, Poland;2. Faculty of Production Engineering, Warsaw University of Technology, Narbutta 86, 02-524 Warszawa, Poland |
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| Abstract: | The dynamics of the machine tool structure are important in high precision machining. Some researchers have studied that the dynamics are expected to change under different machining conditions. However, the dynamic behaviors of the machine tool at different worktable feed speeds are rarely studied. In this paper, an output-only modal identification available to predict the dynamics of the machine tool at different feed speeds is proposed. The excitation of this method uses the inertia force sequence caused by random idle running of the worktable. The first six modes of the entire machine tool structure are estimated using the proposed method. The results indicate that the running state of the worktable can influence the modes in which the worktable vibrates. The estimated natural frequencies and damping ratios decrease obviously as the feed speed increases. Furthermore, because this method enable to determine modal parameters by measuring the response of machine tool structure without using any artificial excitation, it can be used to predict the dynamic behaviors of the machine tool in entire working space effectively. |
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| Keywords: | Natural frequency Damping ratio Modal shape The dynamics of worktable Machine tools |
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