| ABSTRACT : |
Optimization plays an important role in many engineering applications. In design activity, an optimal design is achieved by comparing a few alternative design solutions created by using prior problem knowledge. In such activity the feasibility of each design solution is first investigated. Thereafter an estimate of the underlying objective of each design solution is computed and the best solution is adopted. Optimization algorithms provide systematic and efficient ways of creating and comparing new design solutions in order to achieve an optimal design. In this paper one type of Genetic Algorithm, Real Coded Genetic Algorithm (RCGA) is used to optimize the design of Bevel 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.
Key words: Bevel Gear, Gear pair design, Multi-Objective Optimization, LINGO, Real Coded Genetic Algorithm. |
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