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机构地区:[1]太原理工大学机械工程学院,山西太原030024 [2]山东华成中德传动设备有限公司,山东淄博市255200
出 处:《矿业研究与开发》2017年第8期21-24,共4页Mining Research and Development
基 金:山西省高等学校科技创新项目(2015126)
摘 要:矿用减速器运行过程中,齿面偏载会削弱齿轮啮合性能,增加齿轮系统的振动与噪声,需对其进行优化。首先运用Romax软件对矿用减速器齿轮系统进行啮合性能分析。再以齿轮传动误差波动最小化为目标,以齿轮齿廓、齿向修形参数为设计变量,运用遗传算法对齿轮副齿面进行优化。通过分析各设计变量对齿轮传动误差波动的影响,得到了最佳设计变量组合。然后对齿轮副齿面进行二次优化,获得了最佳修形优化方案。最后利用齿轮接触分析验证优化结果的正确性。结果表明:遗传算法优化得到的修形齿面可以有效减小齿轮传动误差波动量,改善齿面载荷分布,提高齿轮啮合性能。During the operation of mine reducer, the bias load of gear surface would weaken the gear meshing performance, and increase the vibration and noise of gear system, which needed to be optimized. Firstly, the meshing performance of gear system of mine reducer was analyzed by Romax software. Next, to minimize the error fluctuation of gear transmission, taking the gear profile and longitudinal modification parameters as design variables, the gear surfaces of gears were optimized by genetic algo- rithm. Thus, the optimal combinations of design variables were obtained, by analyzing the influences of each design variable on the error fluctuation of gear transmission. Then, the gear surfaces of gears were optimized again to get the optimal modification scheme. Finally, the accuracy of the optimization results was verified by the gear contacting analysis. Consequently, the result showed that the modified gear surface based on genetic algorithm could reduce the error fluctuation of gear transmission effec- tively, and improve the load distribution of gear surface and gear meshing performance.
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