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A thermodynamic chamber modelling approach for oil free and oil injected twin screw compressors.

Number: A1-160

Author(s) : RAMCHANDRAN G., HARRISON J.

Summary

As computational modelling becomes an increasingly reliable and key component in  accelerating the design process for twin screw machines, the goals for engineers now include  developing faster running and physically accurate component models to optimize machine  performance and efficiency, minimize internal leakage, reduce unwanted noise and pulsations,  and properly size bearing supports in the machine. Accurately capturing these aspects via  physical models helps in analyzing operating points that were not tested as well as in  understanding how the machine will perform in a surrounding system. Thereafter, engineers  can find an optimal design in a timely manner for the fastest speed to market as well as reduce  physical testing to keep development costs low. This paper presents the use of a multi-physics  modelling platform - GT-SUITE - in conjunction with SCORG – a well-established tool for the  design and analysis of twin screw machines – to explore meeting the aforementioned goals.  Two case studies are presented for a 3/5 oil free air compressor and a 4/5 oil injected air  compressor. Comparisons to the mass flow rates of the gas and oil, temperatures, indicated  power and the instantaneous chamber pressure vs rotation angle were made against test data  available from the Centre for Compressor Technology at City University. The sensitivity of oil  injection timing on the discharge temperature and power is shown and an optimum timing was  found. The validated chamber models may be integrated into a system as well as used for  further optimization to improve the original compressor performance.

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  • Original title: A thermodynamic chamber modelling approach for oil free and oil injected twin screw compressors.
  • Record ID : 30028727
  • Languages: English
  • Subject: Technology
  • Source: 12th International Conference on Compressors and their Systems
  • Publication date: 2021/09
  • Document available for consultation in the library of the IIR headquarters only.

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