Vibration and control optimization of pressure reducer based on genetic algorithm
نویسندگان
چکیده
Abstract A research challenge of vibration and control optimization pressurized reducer is solved in this article; a method based on genetic algorithm (GA) proposed to optimize the reducer. Considering bending strength helical gear root tooth surface contact fatigue as constraints, improved GA used solve it, optimal parameter combination obtained. The size center distance reduced by 9.59% compared with that before. Based optimized results, becomes weaker increase load at output end reducer, its maximum value only 1/8 when 550 N. experimental results show distribution driving teeth. normal per unit length stage 521.321 N/mm, which significantly lower than 662.455 N/mm before optimization. At same time, evenly distributed. larger mainly distributed middle strong bearing capacity, effectively solves problem unbalanced improves capacity transmission. It proved can realize
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ژورنال
عنوان ژورنال: Paladyn
سال: 2023
ISSN: ['2081-4836']
DOI: https://doi.org/10.1515/pjbr-2022-0091