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Structural Dynamics Modeling with Modal Parameters and Excitation Decoupling Method Based on Energy Distribution

  • Kun Chen
  • , Jianfeng Gan
  • , Xi Kang
  • , Peng Xu*
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • The Chinese University of Hong Kong, Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Modal parameter is powerful for studying the dynamical characteristics of mechanical systems. For dynamics characteristics observation of chatter suppression of machine tool, dynamics model establishment using modal parameters is essential. To increase the accuracy of the model, its dimension should be increased so that is greater than the number of excitations that can be actually measured. This drawback restricts the development of the structural dynamics model. This paper establishes a modal parameters structural dynamics model of a 3-axis high-precision machine tool and proposes an excitation decoupling method to address this issue. Firstly, a 3-direction 3-order modal structural dynamics model is designed. Based on the proportion of vibration energy, a decoupling method is invented to expand the dimension of external excitation. Secondly, experimental modal analysis is performed on the tool center point of the machine tool, its first 3-order natural frequencies, damping ratios, and dynamic stiffness in spatial orthogonal directions are measured and extracted. Finally, the dynamic responses of the machine tool under free vibration, forced vibration, and mixed vibration are simulated. Their conclusions are verified by vibration theory to ensure the quality of the raised algorithm. This model can balance the modeling quality and solvability of the dynamic equations, leading to brilliant simulation conclusion.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 16th International Conference, ICIRA 2023, Proceedings
EditorsHuayong Yang, Honghai Liu, Jun Zou, Zhouping Yin, Lianqing Liu, Geng Yang, Xiaoping Ouyang, Zhiyong Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages150-161
Number of pages12
ISBN (Print)9789819964918
DOIs
StatePublished - 2023
Externally publishedYes
Event16th International Conference on Intelligent Robotics and Applications, ICIRA 2023 - Hangzhou, China
Duration: 5 Jul 20237 Jul 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14270 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Intelligent Robotics and Applications, ICIRA 2023
Country/TerritoryChina
CityHangzhou
Period5/07/237/07/23

Keywords

  • Excitation decoupling
  • Experimental modal analysis
  • Structural dynamics
  • Vibration simulation

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