Identification of eccentricity of a motorized spindle-tool system with random parameters
-
Published:2021-07-16
Issue:2
Volume:12
Page:715-723
-
ISSN:2191-916X
-
Container-title:Mechanical Sciences
-
language:en
-
Short-container-title:Mech. Sci.
Author:
Mao WenguiORCID, Tang Qingqing, Feng Dan
Abstract
Abstract. In order to improve the efficiency of identifying
parameters using the maximum likelihood method and to avoid the sensitivity of initial
values, a proposed method that combines the micro-genetic algorithm with the advance and
retreat method is presented in order to identify the eccentricity of the spindle-tool
system with random input and output parameters, which obey a
certain probability distribution. Eccentricity without prior information
is determined through an iterative procedure. The initial value starts from
zero, and the interval is determined by the advance and
retreat method. Then, the optimal value is searched in the corresponding interval,
utilizing the micro-genetic algorithm. The initial value and interval at each of
iterations are changed to ensure a fast and stable convergence. Eventually, a
numerical example with three kinds of random deviations verifies the
feasibility and validity of the proposed method.
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
Subject
Industrial and Manufacturing Engineering,Fluid Flow and Transfer Processes,Mechanical Engineering,Mechanics of Materials,Civil and Structural Engineering,Control and Systems Engineering
Reference21 articles.
1. Elhaj, A. I. A., Li, S. S., and Mohammed, N.: Optimization of Factors
Affecting Vibration Characteristics of Unbalance Response for Machine
Motorized Spindle Using Response Surface Method, Math. Probl.
Eng., 2019, 1–12, https://doi.org/10.1155/2019/1845056, 2019. 2. Feng, H. H., Wang, Y. R., and Jiang, X. H.: A Maximum Likelihood Method for
Estimating Probabilistic Strain Amplitude-Fatigue Life Curves, Acta Mech.
Solida Sin., 31, 80–93, https://doi.org/10.1007/s10338-018-0002-1, 2018. 3. Harbrecht, H. and Loos, F.: Optimization of current carrying
multicables, Comput. Optim. Appl., 63, 237–271,
https://doi.org/10.1007/s10589-015-9764-2, 2016. 4. Keiichi, N., Shinya, M., Kazuhiko, A., and Keiichi, S.: A Machine Tool Spindle
Achieving Real-Time Balancing Using Magnetic Fluid, International Journal of
Automation Technology, 3, 193–198, https://doi.org/10.20965/ijat.2009.p0193, 2009. 5. Kong, Q. S., Yu, Z. H., Mao, X. Y., Zhou, J., Li, F., Li, H., and Tang, J.:
Rotation error modeling and compensation of spindle based on Clarke
transformation in straightness error measurement of regular hexagon section
shaft, Measurement, 166, 1–10, https://doi.org/10.1016/j.measurement.2020.108233, 2020.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|