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高速大功率电机转子通风孔散热效率优化研究 被引量:15

Optimizing Heat Dissipation Efficiency for Air-cooling Holes of Rotor of High-speed and Large-power Motor
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摘要 采用将转子与冷却气体流场实行分离的传统分析方法难以反映转子与冷却气流的热耦合作用,难以实现转子散热效率优化。提出基于流固耦合的高速大功率电机转子系统动态传热特性的分析方法,建立转子系统的流固耦合传热模型。利用建立的模型研究转速、冷却气流入口压力和速度,以及转子冷却孔分布、孔径和轴心距对转子温度场和散热效率的影响规律,提出了优化散热效率的具体途径。结果证明了所提出的计算方法和优化散热效率的具体措施的有效性。 The heat generated by the rotor of a high-speed and large-power motor is very big. If the heat is not effectively removed by the cooling system of the rotor,the temperature of its bearing will rise greatly. When the motor is operating,its reliability and safety may be reduced,too. It is difficult for the traditional method that separates the rotor and its cooling gas flow field to show the heat coupling between the rotor and its cooling gas flow field and achieve heat dissipation efficiency optimization. Therefore we propose the method of dynamic heat transfer characteristics of the rotor of the high-speed and large-power motor based on fluid-solid coupling. The fluid-solid coupling heat transfer model of the rotor is established. The method and the model are used to study the effects of rotational speed,entrance pressure and velocity of cooling air flow,aperture,distribution and axial distance of the cooling hole of the rotor on its temperature field and heat dissipation efficiency. The heat dissipation efficiency of the rotor is optimized. The simulation and experimental results show that the heat dissipation efficiency optimization method is effective.
出处 《机械科学与技术》 CSCD 北大核心 2014年第5期735-740,共6页 Mechanical Science and Technology for Aerospace Engineering
基金 国家自然科学基金项目(51275163) 湖南省自然科学杰出青年基金项目 教育部新世纪优秀人才支持计划项目(NCET-10-0368)资助
关键词 高速大功率电机 温度场 流固耦合 优化 CFD boundary conditions calculations computational fluid dynamics computer simulation computer software cooling systems efficiency experiments flow fields fluid-solid coupling heat dissipation efficiency heat losses heat transfer high-speed and large-power motor mathematical models MATLAB mesh generation motors optimization rotors temperature distribution
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