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Performance investigation of a pressure pulsation dampener applied in the discharge chamber of a twin screw refrigeration compressor
Citation
Wu, X and Xing, Z and Chen, W and Wang, X, Performance investigation of a pressure pulsation dampener applied in the discharge chamber of a twin screw refrigeration compressor, International Journal of Refrigeration, 85 pp. 70-84. ISSN 0140-7007 (2018) [Refereed Article]
Copyright Statement
© 2017 Published by Elsevier Ltd.
DOI: doi:10.1016/j.ijrefrig.2017.09.012
Abstract
Intermittent gas flow generates pressure oscillations in the twin-screw refrigeration compressor
that cause serious problems such as structural vibration and noise. In order to reduce
the amplitude of this pressure pulsation, a pressure pulsation dampener (PPD) applied in
the discharge chamber of a twin screw refrigeration compressor was proposed based on the
theory of Helmholtz resonator. A mathematical model was developed to design an optimal
PPD by incorporating the R134-oil mixture sound speed model and the pressure pulsation
simulation model. A comprehensive experimental study was then performed to validate the
model and evaluate the effect of key parameters such as oil flow rate and cavity volume
on attenuation performance of the PPD. Vibrational characteristics of the compressor equipped
with and without the PPD were also measured and compared. Under the design frequency
of 250 Hz, the vibrational acceleration of compressor under-chassis reduced by 36.2% to 41.1%
when the compressor was fitted with the proposed PPD.
Item Details
Item Type: | Refereed Article |
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Keywords: | twin-screw compressor, refrigeration, discharge chamber, pressure pulsation dampener |
Research Division: | Engineering |
Research Group: | Mechanical engineering |
Research Field: | Energy generation, conversion and storage (excl. chemical and electrical) |
Objective Division: | Energy |
Objective Group: | Energy efficiency |
Objective Field: | Energy efficiency not elsewhere classified |
UTAS Author: | Wang, X (Professor Xiaolin Wang) |
ID Code: | 123577 |
Year Published: | 2018 |
Web of Science® Times Cited: | 14 |
Deposited By: | Engineering |
Deposited On: | 2018-01-11 |
Last Modified: | 2019-02-25 |
Downloads: | 0 |
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