ABSTRACT : |
An engineering design involves large numbers of design variables, and it is requires knowledge, experience, and judgment to specify these variables and design effective engineering systems. Design optimization is the application of numerical algorithms and techniques to engineering design to improving the system's performance, weight, reliability, and cost. An ideal gearbox is a typical and complex one, since it has fixed as well as sliding gears to transmit a controlled relative rotational motion between shafts. Since the functions of all mechanical members of an automatic machine tool are linked with its gear box, it should be strong enough to withstand the sudden variations in load. Hence there exists a need for designing an optimum gearbox for efficient performance. In this paper, a two stage gear box design is optimized by Evolutionary algorithms such as Selective Breeding Algorithm and Genetic Algorithm and optimized results are compared.
Keywords: Gearbox design, Multi objective optimization, Genetic Algorithm and Selective Breeding Algorithm
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