Numerical analysis scheme for predicting the oil level variation in horizontal rotary compressor.

Number: 1135

Author(s) : KIM J., KWON M. S., CHOI J., LEE S., PARK S.

Summary

Rotary compressors are categorized into vertical and horizontal types based on the installation direction. Unlike vertical rotary compressors in which the compression part is submerged in oil, in horizontal rotary compressors, only a part of the compression unit is submerged, which may result in reduced oil supply performance and potential issues. For this reason, it is necessary to accurately predict oil level variations inside horizontal compressors. However, the hermetic design of rotary compressors makes it challenging to observe the internal oil level during operation. This study developed a numerical analysis approach for predicting oil level variation in horizontal rotary compressors. A multi-phase flow analysis technique for two-phase flow of refrigerant and oil was chosen and the influences of critical parameters were assessed. Using the numerical analysis technique, the oil level variations were predicted under various oil amounts and operation speed conditions, and the results were validated through the actual visualization tests using a bolted type compressor equipped with a sight glass. The predicted results such as refrigerant inflow through the oil flow path agreed well with the observation from the tests and the errors between the numerical predictions and the measurements obtained from the tests were within 6.8%. The outcomes of the validation tests clearly demonstrate the numerical methodology developed in this study successfully predicts the characteristics of oil level variations inside horizontal rotary compressors.

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Details

  • Original title: Numerical analysis scheme for predicting the oil level variation in horizontal rotary compressor.
  • Record ID : 30033004
  • Languages: English
  • Subject: Technology
  • Source: 2024 Purdue Conferences. 27th International Compressor Engineering Conference at Purdue.
  • Publication date: 2024/07/18

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