Open Access

ABSTRACT

Optimum Design of Worm Gears with Multiple Computer Aided Techniques

Daizhong Su¹, Wenjie Peng²

1 Advanced Design and Manufacturing Engineering Centre, Nottingham Trent University, Burton Street, Nottingham, NG1 4BU, UK. http://admec.ntu.ac.uk, e-mail: daizhong.su@ntu.ac.uk
2 State Key Laboratory of Mechanical Transmission, Chonqing University, Chongqing, China

The International Conference on Computational & Experimental Engineering and Sciences 2008, 6(4), 221-228. https://doi.org/10.3970/icces.2008.006.221

Abstract

Finite element analysis (FEA) has proved to be a useful method to analyse the strength of worm gears; however, it is usually time consuming and difficult for parametric design, and, hence, it is difficult to apply FEA for design optimisation. To overcome this problem, artificial neural network and genetic algorithm are utilised in this research to optimise worm gear design based on FEA results. A new type of worm drive, an involute cylindrical worm matting with an involute helical gear, is taken as an vehicale to illustrate the approach developed.

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