TY  - EJOU
AU  - Su, Daizhong  
AU  - Peng, Wenjie  

TI  - Optimum Design of Worm Gears with Multiple Computer Aided Techniques
T2  - The International Conference on Computational \& Experimental Engineering and Sciences

PY  - 2008
VL  - 6
IS  - 4
SN  - 1933-2815

AB  - 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.
KW  - 

DO  - 10.3970/icces.2008.006.221