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A Literature Review of the Positive Displacement Compressor: Current Challenges and Future Opportunities
by
Phung, Truong H.
, Sultan, Ibrahim A.
, Lu, Kui
in
compressor performance
/ Efficiency
/ Energy consumption
/ Friction
/ Heat transfer
/ internal leakage
/ Machine learning
/ Machinery
/ Magneto-electric machines
/ reciprocating compressor
/ rotary compressor
/ Valves
2023
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A Literature Review of the Positive Displacement Compressor: Current Challenges and Future Opportunities
by
Phung, Truong H.
, Sultan, Ibrahim A.
, Lu, Kui
in
compressor performance
/ Efficiency
/ Energy consumption
/ Friction
/ Heat transfer
/ internal leakage
/ Machine learning
/ Machinery
/ Magneto-electric machines
/ reciprocating compressor
/ rotary compressor
/ Valves
2023
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Do you wish to request the book?
A Literature Review of the Positive Displacement Compressor: Current Challenges and Future Opportunities
by
Phung, Truong H.
, Sultan, Ibrahim A.
, Lu, Kui
in
compressor performance
/ Efficiency
/ Energy consumption
/ Friction
/ Heat transfer
/ internal leakage
/ Machine learning
/ Machinery
/ Magneto-electric machines
/ reciprocating compressor
/ rotary compressor
/ Valves
2023
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A Literature Review of the Positive Displacement Compressor: Current Challenges and Future Opportunities
Journal Article
A Literature Review of the Positive Displacement Compressor: Current Challenges and Future Opportunities
2023
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Overview
Positive displacement compressors are essential in many engineering systems, from domestic to industrial applications. Many studies have been devoted to providing more insights into the workings and proposing solutions for performance improvements of these machines. This study aims to present a systematic review of published research on positive displacement compressors of various geometrical structures. This paper discusses the literature on compressor topics, including leakage, heat transfer, friction and lubrication, valve dynamics, port characteristics, and capacity control strategies. Moreover, the current status of the application of machine learning methods in positive displacement compressors is also discussed. The challenges and opportunities for future work are presented at the end of the paper.
Publisher
MDPI AG
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