Geometric design of the limaçon rotary compressor using Bayesian optimization

Lu, Kui; Sultan, Ibrahim A.; Phung, Truong H.

doi:10.1063/5.0114933

Cited by 1 publication

(1 citation statement)

References 15 publications

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“…There are some other machine learning methods applied in the modelling and optimisation of positive displacement compressors, albeit to a limited level. Lu et al [114,115] used the Bayesian optimisation method to optimise the port geometries of the limaçon rotary compressor. According to the results, the authors discovered that most of the obtained outcomes fall within the desired region, and the average isentropic and volumetric efficiencies obtained from the optimisation were 93.81% and 83.62%, respectively.…”

Section: Other Methodsmentioning

confidence: 99%

A Literature Review of the Positive Displacement Compressor: Current Challenges and Future Opportunities

Lu,

Sultan,

Phung

2023

Energies

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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.

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Section: Other Methodsmentioning

confidence: 99%