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考虑叶片-定子副动压效应的高压叶片泵叶片优化研究

Stator Parameters Optimization of High-pressure Vane Pump with Vane-stator Pair Dynamic Pressure Effect
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摘要 考虑叶片-定子副之间的动压效应,研究了叶片结构参数对叶片泵工作性能的影响,针对不同参数的叶片,采用ADAMS和Fluent软件对高压叶片泵叶片-定子副进行了动力学、流体动压仿真分析和模态分析。以S25VQH子母叶片泵为研究对象,详细分析了叶片结构参数对叶片-定子副之间相互作用力、叶片-定子副之间动压和振动噪声的影响规律。结果表明,优化后的叶片结构使得叶片-定子副之间相互作用力减小,叶片-定子副之间动压和固有频率显著增加;减小了叶片-定子副之间的摩擦磨损和振动噪声,一定程度上延长叶片泵使用寿命。最后,进行了综合台架实验,实验结果与仿真分析结果具有较好的一致性,验证了仿真结果的正确性。 In the paper,considering the dynamic pressure effect between vane and stator pair,the influence of vane structure parameters on the working performance of vane pump is studied.For the vanes with different parameters,ADAMS and Fluent software are used to carry out dynamic simulation analysis,fluid dynamic pressure simulation analysis and modal analysis for vane and stator pair of high pressure vane pump.Taking S25VQH Intra vane pump as the research object,the influence rules of vane structure parameters on vane stress,dynamic pressure and vibration noise between vane and stator pair are analyzed in detail.The results show that the optimized vane structure reduces the force on the vane,increases the dynamic pressure and natural frequency between the vane and stator pair,reduces the friction,wear and vibration noise between the vane and stator pair,and extends the service life of the vane pump to some extent.Finally,the comprehensive bench test is carried out.The experimental results are in good agreement with the simulation analysis results,which verifies the correctness of the simulation results.
作者 刘竞之 赵斌 LIU Jing-zhi;ZHAO Bin(College of Mechanical and Vehicle Engineering,Taiyuan University of Technology,Taiyuan,Shanxi 030024;Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province,Taiyuan University of Technology,Taiyuan,Shanxi 030024)
出处 《液压与气动》 北大核心 2021年第6期97-107,共11页 Chinese Hydraulics & Pneumatics
基金 流体动力与机电系统国家重点实验室开放基金(GZKF-201815) 中国博士后科学基金(2019M661062)。
关键词 高压叶片泵 叶片参数 结构优化 数值模拟 high pressure vane pump vane parameters structural optimization numerical simulation
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