家电科技 ›› 2025, Vol. 0 ›› Issue (zk): 6-10.doi: 10.19784/j.cnki.issn1672-0172.2025.99.002

• 第一部分 优秀论文 • 上一篇    下一篇

压缩机轴系磨损及优化设计研究

孙百会1,2, 潘雯1,2, 黄健1,2, 廖健生1,2, 赵庆富1,2   

  1. 1.广东美芝制冷设备有限公司 广东佛山 528333;
    2.美的集团股份有限公司 广东佛山 528333
  • 发布日期:2025-12-30
  • 通讯作者: 潘雯。E-mail:panwen1@chinagmcc.com。
  • 作者简介:孙百会,硕士学位,研究方向:压缩机基础技术研究。地址:佛山市顺德区大良街道南霞新路1号。E-mail:sunbh4@midea.com。

Research on abnormal bearing wear and optimization design of compressor

Sun Baihui1,2, Pan Wen1,2, Huang Jian1,2, Liao Jiansheng1,2, Zhao Qingfu1,2   

  1. 1. Guangdong Meizhi Compressor Co., Ltd. Foshan 528333;
    2. Midea Group Co., Ltd. Foshan 528333
  • Published:2025-12-30

摘要: 随着压缩机小型高效化及新应用领域的发展趋势,加之10年设计寿命的行业要求对轴承系统可靠性提出了更高要求。基于一款单缸压缩机的曲轴主副轴根部磨损问题展开研究,通过理论结合仿真明确曲轴根部磨损的关键载荷,并从轴承系统的零件加工质量、关键结构尺寸等方面进一步仿真分析,得出轴承系统润滑的影响趋势,最后提出优化方案,并通过试验验证优化方案有效,解决了曲轴主副轴根部磨损问题。仿真和试验结果一致表明了仿真结果可信性,其中零件加工质量对轴系润滑影响的分析方法及优化设计思路,可为后续压缩机可靠性设计提供参考。

关键词: 压缩机, 磨损, 优化设计

Abstract: The trend towards miniaturization and high efficiency of compressors, along with the industry’s requirement for a 10-year design lifespan, has placed higher demands on the reliability of bearing systems. Focuses on the study of wear at the root of the main and auxiliary shafts of a crankshaft in a jet-integrated single-cylinder compressor. By combining theory with simulation, the key loads causing wear at the crankshaft root are identified. Further simulation analysis is conducted on aspects such as the machining quality of bearing system components and critical structural dimensions to determine the impact trend of bearing system lubrication. An optimization plan is proposed and validated through experiments, effectively solving the wear problem at the root of the main and auxiliary shafts of the crankshaft. The consistency between simulation and experimental results confirms the reliability of the simulation outcomes. The analysis method of the impact of component machining quality on shaft system lubrication and the optimization design approach can provide a reference for subsequent compressor reliability design.

Key words: Compressor, Wear, Optimization design

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