2011
DOI: 10.1177/0954406211417961
|View full text |Cite
|
Sign up to set email alerts
|

Performance analysis of screw compressors – numerical simulation and experimental verification

Abstract: This article describes a theoretical model and computer program for calculating the pressure–volume ( PV ) diagram and the efficiency of an oil-injected screw compressor. The proposed model considers the mass and energy conservation laws, the heat transfer between air and oil, the leakages through various paths, and the discharges of air and oil. The proposed program, which uses seven empirical constants to account for the difference between the flow and the heat-transfer rates in the screw compressor and thos… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
15
0
2

Year Published

2011
2011
2019
2019

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(17 citation statements)
references
References 12 publications
0
15
0
2
Order By: Relevance
“…To provide experimental data for the determination of empirical constants, an experimental facility [19] is adopted in this study. Fig.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…To provide experimental data for the determination of empirical constants, an experimental facility [19] is adopted in this study. Fig.…”
Section: Methodsmentioning
confidence: 99%
“…Equation (5) is the periodic boundary condition that describes the heat convection between the screw and the compressed air. In this study, the time-dependent properties of the compressed air and the performance of the oil-injected screw compressor are calculated by a lumped parameter analysis [19]. The errors of the calculated volumetric and isentropic efficiencies are both less than 2%.…”
Section: Boundary Conditionsmentioning
confidence: 99%
See 2 more Smart Citations
“…For example, Hsieh (10) presented a procedure to determine empirical constants in a 'training process' which optimises multiple constants using a range of test cases. Hsieh (10) and Wu (8) presented models which once calibrated, or trained, have good agreement between simulated and measured results. Caution should be exercised when using such models, which rely on empirical constants or coefficients, to predict the performance of compressors different than the machine used to derive the coefficients.…”
Section: Introductionmentioning
confidence: 99%