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作 者:李龙女 李运浩 朱高嘉 LI Longnü;LI Yunhao;ZHU Gaojia(School of Electrical Engineering,Tiangong University,Tianjin 300387,China)
出 处:《实验室研究与探索》2025年第1期117-120,共4页Research and Exploration In Laboratory
基 金:国家自然科学基金青年基金项目(52107007);教育部“春晖计划”国际合作科研项目(HZKY20220604)。
摘 要:随着永磁风力发电机单机容量和功率密度的不断提高,对冷却结构优化设计已成为发电机研发中的关键。传统电机设计课程的综合实践,主要基于风路法和热路法开展。风路法和热路法难以准确估计电机内冷却介质流动状态和电机温升。近年来,流场-温度场耦合计算流体力学(CFD)数值仿真技术受到广泛关注。CFD计算复杂度高、迭代时间长,对其优化设计提出挑战。以一台全封闭自循环氢气冷却结构永磁风力发电机为对象,利用在有限计算量下实现鲁棒优化的方法——田口法,实现发电机冷却结构优化设计;通过优化设计过程实践,培养学生掌握田口法等鲁棒优化设计方法来解决复杂工程问题的能力。With the continuous improvement in the capacity and power density of permanent magnet wind generators,cooling structure design optimization becomes a key issue in their research and development processes.In the practical courses of“Electrical Machinery Design”,the main approach is to analyze the fluidic and thermal characteristics of a machine based on fluid-flow and thermal circuits and to design the cooling system accordingly.As the fluidic and thermal circuits can hardly model the fluid flow and temperature rise precisely,recently,the computational fluid dynamics(CFD)numerical method in solving flow-temperature coupled fields has attracted extensive attention.However,since CFD-based simulation is complex and time-consuming,there exist challenges in the design optimization method based on CFD calculations.An enclosed hydrogen-cooling permanent magnet(PM)wind generator is taken as the prototype.Its cooling system is then optimized based on a robust and effective design optimization method,the Taguchi method,that can obtain optimal results with finite simulations.Based on the practice of the optimization processes,the student’s ability to solve complex engineering problems with robust optimization methods,such as the Taguchi method,is cultivated.
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