Scholarlink

The viscosity value of oil is an extremely important indicator for lubricating oil. In the operation of industrial machinery and equipment, viscosity changes will have a certain impact on the lubrication, cooling, friction reduction, and other functions of industrial machinery and equipment. To improve the accuracy of viscosity detection in online monitoring sensors, this article starts from the principle of viscosity detection, combines the theory of microcantilever beam vibration, and develops a vibration parameter detection system based on LabVIEW. By building an experimental platform, the viscosity values are mapped based on the detected vibration physical parameters. Through experiments, the influence of external factors such as temperature, viscosity, and flow rate on the vibration parameters is explored. Based on this, the process is improved, and the best viscosity oscillator base thickness that can be achieved at the current process level is selected to improve the stability and accuracy of viscosity detection in online monitoring sensors.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Analysis and Discussion of Factors Affecting the Measurement Accuracy of Oil Viscosity Sensors

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Shihong Mao,
  • Chenxing Sheng,
  • Xiang Zheng,
  • Xindi Qiu,
  • Xiang Rao

摘要

The viscosity value of oil is an extremely important indicator for lubricating oil. In the operation of industrial machinery and equipment, viscosity changes will have a certain impact on the lubrication, cooling, friction reduction, and other functions of industrial machinery and equipment. To improve the accuracy of viscosity detection in online monitoring sensors, this article starts from the principle of viscosity detection, combines the theory of microcantilever beam vibration, and develops a vibration parameter detection system based on LabVIEW. By building an experimental platform, the viscosity values are mapped based on the detected vibration physical parameters. Through experiments, the influence of external factors such as temperature, viscosity, and flow rate on the vibration parameters is explored. Based on this, the process is improved, and the best viscosity oscillator base thickness that can be achieved at the current process level is selected to improve the stability and accuracy of viscosity detection in online monitoring sensors.