Multi-objective optimization of hydro-viscous flexible drive for dynamic characteristics using genetic algorithm
Industrial Lubrication and Tribology
ISSN: 0036-8792
Article publication date: 27 August 2021
Issue publication date: 13 October 2021
Abstract
Purpose
The purpose of this study is to investigate the flexible dynamic characteristics about hydro-viscous drive providing meaningful insights into the credible speed-regulating behavior during the soft-start.
Design/methodology/approach
A comprehensive dynamic transmission model is proposed to investigate the effects of key parameters on the dynamic characteristics. To achieve a trade-off between the transmission efficiency and time proportion of hydrodynamic and mixed lubrication, a multi-objective optimization of friction pair system by genetic algorithm is presented to obtain the optimal combination of design parameters.
Findings
Decreasing the engagement pressure or the ratio of inner and outer radius, increasing the lubricating oil viscosity or the outer radius will result in the increase of time proportion of hydrodynamic and mixed lubrication, as well as the transmission efficiency and its maximum value. After optimization, main dynamic parameters including the oil film thickness, angular velocity of the driven disk, viscous torque and total torque show remarkable flexible transmission characteristics.
Originality/value
Both the dynamic transmission model and multi-objective optimization model are established to analyze the effects of main design parameters on the dynamic characteristics of hydro-viscous flexible drive.
Keywords
Acknowledgements
This work was sponsored by the Scientific Research Foundation of Advanced Professional of Yancheng Institute of Technology (XJ201701), the National Natural Science Foundation of China (No. 51805464), China Postdoctoral Science Foundation (No. 2018M632199) and Qinglan Project of Jiangsu Province of China.
Citation
Cui, J., Li, H., Zhang, D., Xu, Y. and Xie, F. (2021), "Multi-objective optimization of hydro-viscous flexible drive for dynamic characteristics using genetic algorithm", Industrial Lubrication and Tribology, Vol. 73 No. 7, pp. 1003-1010. https://doi.org/10.1108/ILT-12-2020-0472
Publisher
:Emerald Publishing Limited
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