The Multi-Objective Optimization for Cycloidal Gear Drive Based on the Elastohydrodynamic Lubrication Theory

Article Preview

Abstract:

For improving the designed quality of the cycloidal gear planetary drive, the paper derives a calculation formula of the minimum film thickness, which is between cycloidal gear teeth, based on elastohydrodynamic lubrication theory and gear geometry. A mathematical model for constrained multi-objective optimization is established and the model satisfies three constrains:maximize minimum film thickness between gear teeth( minimize the reciprocal ), minimize average value of m points’s absolute error value on active section that is between the tooth curves of positive shift optimal combination and tooth curves of rotated angle’s modification, minimize the total volume of gear drive. The paper abandons traditional designed method of the multi-objective optimization , improves two-objective particle swarm optimization and offers a new designed model for constrained three-objective optimization. The example is analyzed and the optimization program is complied using Matlab. The optimization’s process and result shows that the method of improved constrained multi-objective particle swarm optimization could effectively improve the products’ synthesize economical and technical indexes.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

697-703

Citation:

Online since:

November 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. H. Shin and S. M. Kwon: Journal of Mech Theory,Vol. 41 (2006) No.3 .p.596.

Google Scholar

[2] J. H. Shin, S .Chang and S. M. Kwon: Journal of Proceeding of SPIE, Vol. 36(2005) No.5.p.1011.

Google Scholar

[3] T.S. Lai: Journal of Mech Theory,Vol.40(2005) No.1.p.55.

Google Scholar

[4] B.K.CHEN, T.T.FANG and Z.Y. LI: Journal of Chinese Science E Series: Science and Technology. Vol.38(2008) No.1.p.148.(In Chinese)

Google Scholar

[5] T.M. GUAN: Journal of Chinese Mechanical Engineering.Vol.13(2002) No.10. p.811. (In Chinese)

Google Scholar

[6] M.ZHANG: Research on Evolutionary Algorithms for Constrained Optimization and Multi-objective Optimization(Ph.D.,University of Science and Technology of China 2008),p.28

Google Scholar

[7] L.B. ZHANG, C.G.ZHOU and M. MA: Journal of Computer Research & Development. Vol.41(2004) No.7.p.1287. (In Chinese)

Google Scholar

[8] X.P. GONG, L.J. CUI and Y.C. LI: Journal of Machine Design. Vol.25(2008) No.10.p. (In Chinese)

Google Scholar

[9] Q.S LUO and B.L. HAN: Journal of Lubrication and Seal.Vol.25(2001) No.1. p.47. (In Chinese).

Google Scholar