Optimization of Design of Helical Gear Set Using Genetic Algorithm - Mehta, Jaswinder Singh
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The main aim of proposed work is the design optimization of helical gear pair for a given set of input parameters. A design space is defined in terms of the number of teeth, helix angle and the module. The inequality constraints, which bound this design space, are bending strength, contact strength, minimum no. of teeth required to prevent interference and contact ratio. The space is then combined with the objective of minimum volume to obtain an optimal design region using optimization technique of genetic algorithm.

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Produktbeschreibung
The main aim of proposed work is the design optimization of helical gear pair for a given set of input parameters. A design space is defined in terms of the number of teeth, helix angle and the module. The inequality constraints, which bound this design space, are bending strength, contact strength, minimum no. of teeth required to prevent interference and contact ratio. The space is then combined with the objective of minimum volume to obtain an optimal design region using optimization technique of genetic algorithm.
Autorenporträt
Dr. Jaswinder Singh Mehta is presently working as Asst Prof at UIET, PU, Chandigarh. He has more than 22 years of teaching experience and published many papers in journals of International and National repute and conferences.