eCite Digital Repository

Noise control of a twin-screw refrigeration compressor


He, Z and Li, D and Han, Y and Zhou, M and Xing, Z and Wang, X, Noise control of a twin-screw refrigeration compressor, International Journal of Refrigeration, 124 pp. 30-42. ISSN 0140-7007 (2021) [Refereed Article]

Pending copyright assessment - Request a copy

DOI: doi:10.1016/j.ijrefrig.2020.12.008


Twin-screw compressors are widely used in refrigeration systems, but noise is a serious problem during operation. Gas pulsation is the main noise excitation source in twin-screw compressors, and the noise has significant fundamental harmonic characteristics. In this study, the noise characteristics of a screw compressor were experimentally investigated, which provides insight into the noise control technology of the compressor. The analysis incorporated the noise control theory and the structural characteristics of the experimental compressor. The noise reduction schemes including half-wavelength tube, Helmholtz resonator, and multi-cavity series muffler were proposed, and the noise attenuation performances of these methods were studied experimentally. The results showed that application of these noise reduction strategies significantly reduced the noise level by 10.7 dBA, 10.9 dBA, 7.2 dBA, and 10.2 dBA at the male rotor side, the female rotor side, the suction side, and the exhaust side, respectively. Comparative test results indicated that the use of the exhaust muffler and the attenuation scheme on the exhaust bearing block was most effective and it reduced the compressor noise level by 8.17 dBA. These results provided useful guidance for designing a quiet compressor.

Item Details

Item Type:Refereed Article
Keywords:twin-screw compressor, gas pulsation, noise characteristics, experimental study
Research Division:Engineering
Research Group:Mechanical engineering
Research Field:Energy generation, conversion and storage (excl. chemical and electrical)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy systems and analysis
UTAS Author:Wang, X (Professor Xiaolin Wang)
ID Code:142604
Year Published:2021
Deposited By:Engineering
Deposited On:2021-01-31
Last Modified:2021-02-02
Downloads:1 View Download Statistics

Repository Staff Only: item control page