A Performance Study of Real Coded Genetic Algorithm on Gear Design Optimization

Author:

Padmanabhan S.1,Chandrasekaran M.2,Asokan P.3,Raman V. Srinivasa4

Affiliation:

1. Sathyabama University

2. Vels University

3. NIT

4. R.V.S. College of Engineering and Technology

Abstract

he major problem that deals with practical engineers is the mechanical design and creativeness. Mechanical design can be defined as the choice of materials and geometry, which satisfies, specified functional requirements of that design. A good design has to minimize the most significant adverse result and to maximize the most significant desirable result. An evolutionary algorithm offers efficient ways of creating and comparing a new design solution in order to complete an optimal design. In this paper a type of Genetic Algorithm, Real Coded Genetic Algorithm (RCGA) is used to optimize the design of helical gear pair and a combined objective function with maximizes the Power, Efficiency and minimizes the overall Weight, Centre distance. The performance of the proposed algorithms is validated through LINGO Software and the comparative results are analyzed.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

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2. Mehmet Bozca and Peter Fietkau: Mechanism and Machine Theory Vol. 45, (2010), pp.1599-1612.

3. Padmanabhan. S, M. Chandrasekaran and V. Srinivasa Raman: International Journal of Computer Applications (0975 – 8887) Vol 38, No. 6 (2012), pp.12-18.

4. Abdullah Konak, David W. Coit and Alice E. Smith: Reliability Engineering and System Safety 91 (2006), p.992–1007.

5. Shantanu Gupta, Rajiv Tiwari and Shivashankar B. Nair: Mechanism and Machine Theory 42 (2007), p.1418–1443.

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