Abstract
Spur gear design is one of the understood subjects that can not be treated by limited classical methods. For this reason, an optimization process by the genetic algorithm was conducted in order to minimize the structure volume. Mechanical problems such as gear designs present many variables to analyze and several constraints to respect. In order to gain in terms of weight cost and transmission, Genetic Algorithms are used to improve the design process of the gearbox and find the optimum gear parameters. In this paper, the influence of the profile shift factor on one spur gear volume and clearance volume is studied including the bottom clearance volume equation in the fitness function. The optimal results of the model with corrected pinion and gear are compared with the standard spur gear model without a profile shift factor in bottom clearance equation volume or structure equation volume.
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Belarhzal, S., Boudi, E.M. (2021). Genetic Algorithm Design Optimization for Non-standard Spur Gears. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_4
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DOI: https://doi.org/10.1007/978-3-030-73882-2_4
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