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Dimensional Synthesis of Mechanism using Genetic Algorithm


Author : A.S.Shinde, S. A. Kulkarni and S.S.Shete

Pages : 1572-1580
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Abstract

Dimensional synthesis is systematic method for synthesis of mechanism. In this paper the GA is used for the dimensional synthesis to achieve a desired trajectory of coupler point. Genetic algorithm is optimization technique based on Natural Evolution Theory. It is based on the Darwin’s principle survival of fittest in evolution. The GA employs three operators namely selection, crossover and mutation. The function used for optimization is Euclidean distance error function which describes the structural error between the desired trajectory and obtained trajectory. The analytical and graphical methods could not be used for this synthesis as the target points are more than five. Three problems are analyzed, first is to achieve a straight line of a coupler point without prescribed timing, second is to obtain an open curve having five desired points with prescribed timing and the third is to obtain a closed curve having eighteen desired points with prescribed timing. The program is authored in MATLAB®2010a. The error is seen to be in permissible prescribed limits.

Keywords: Dimensional synthesis, genetic algorithm, path generation, precision points, six-bar mechanism, Stephenson-I

Article published in International Journal of Current Engineering and Technology, Vol.7, No.4 (Aug-2017)

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