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  • 标题:Experimental Investigation and prediction of viscosity and contamination percentage of fuel dilution in oil as a function of temperature for turbo machinery
  • 本地全文:下载
  • 作者:S.Suresh Babu ; Pankaj Nadge ; Suchibrata Sen
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:6
  • 页码:443-449
  • DOI:10.35629/5252-0306331340
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Engine oil plays a vital role in turbo machinery for its function, performance and safety. Part failure of lubrication/fuel system in gas turbine engine can lead to contamination of oil by fuel. The fuel dilution in the oil has an effect on the physical properties. This paper experimentally investigates viscosity (μ) change with contamination levels at different temperatures. Experiments conducted for contamination range of 0 -100% from 25deg C to 100 deg C showed an exponential decrease with contamination and temperature by a factor of 0.046 and 0.01312 to 0.03206 respectively. Theoretical prediction of viscosity showed high error percentage and standard deviation. Linear regression analyses were carried out between contamination, viscosity and temperature and an empirical relationship with R square of 0.99 is developed. The relationship enables identification of percentage contamination of oil and measurement of its viscosity at different temperatures. This forms an important diagnostic tool for condition monitoring of lubrication oil.
  • 关键词:Viscosity;Temperature;Contamination;Regression analysis
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