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Design optimisation of bevel gear pair

机译:锥齿轮副的设计优化

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摘要

In this paper, an attempt has been made to optimise bevel gear pair design using a non-linear programming optimising software LINGO and meta-heuristics such as real coded genetic algorithm, ant colony optimisation and particle swarm optimisation algorithms. A combined objective function which maximises the power, efficiency and minimises the overall weight, centre distance has been considered in this model. The efficiency of the proposed algorithms is validated through gear design problems and the comparative results are studied.
机译:在本文中,已经尝试使用非线性编程优化软件LINGO和元启发式算法(例如,实数编码遗传算法,蚁群优化和粒子群优化算法)来优化锥齿轮副设计。在此模型中考虑了一个组合目标函数,该函数最大化了功率,效率并最小化了总重量,中心距。通过齿轮设计问题验证了所提算法的效率,并研究了比较结果。

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