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转子压缩机的等效激励力识别及有限元验证
Excitation Identification and Finite Element Method Validation of Rotary Compressor in Air Conditioning
  
DOI:10.16450/j.cnki.issn.1004?6801.2021.04.013
中文关键词:  惯性参数识别  激励识别  转子压缩机  刚体动力学
英文关键词:inertial parameters identification  excitation identification  rotary compressor  rigid body dynamics
基金项目:基金项目:珠海市基础与应用基础课题研究资助项目(ZH22017003200007PWC)
作者单位
肖彪, 蒋邹, 戴隆翔, 李彬, 周泳城 (空调及系统运行节能国家重点实验室 珠海 519000) 
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中文摘要:
      压缩机作为空调管路系统的主要激励源,其激励的准确识别是空调配管系统设计及优化的前提。当压缩机为第三方提供时,须通过实验方法识别压缩机激励,针对此,提出了基于刚体动力学的转子压缩机质量特性及等效激励识别方法。基于质量线法对压缩机的质心及惯性参数进行识别,实验结果表明识别精度及一致性较好。基于刚体动力学方程,结合压缩机缸体表面的振动响应、压缩机的惯性参数以及橡胶脚垫的特性参数,识别了压缩机的等效激励力,并对该识别激励力进行有限元仿真验证。仿真得到的加速度与实验测试加速度吻合良好,最大误差出现在y向的第2阶,为26.3%。这表明此激励识别方法具有很好的识别精度,识别结果可用于空调管路系统的仿真分析与优化设计。
英文摘要:
      In the design and optimization of compressor piping system, the compressor is the main source of excitation, and the acquisition of its excitation force is crucial. When the compressor is designed and supplied by a third party, it is difficult to obtain its internal structural parameters and its excitation needs to be identified by experimental test. In this paper, the equivalent excitation at the centroid of the rotor compressor is identified based on rigid body dynamics principal. Firstly, the centroid and inertia parameters of the compressor are identified based on the mass line method. The test results show that the recognition accuracy and consistency are good. Secondly, in terms of the rigid body dynamics equation, the equivalent excitation of the compressor is identified based on the vibration response of the compressor cylinder surface, the inertia parameters of the compressor and the characteristic parameters of the rubber feet. Finally, the finite element simulation is carried out to validate the identified excitation force. The acceleration obtained by the simulation agrees well with the experimental results. The maximum error occurs in the second order of the y direction, which is 26.3%, indicating that the recognition accuracy is convincing. The identified excitation is accurate enough to be applied in the design and optimization of piping systems.
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