Summary
This work numerically investigates refrigerant expansion process through an EEV. Due to the multi-phase flow and complicated geometry inside, it is difficult to build a physical model to predict the refrigerant mass flow rate. Therefore, Bernoulli equation based polynomial or power-law fit correlation method and machine learning method (Grey-box Model) are applied to develop empirical EEV models so far. However, in this work, choked flow phenomenon is considered for proposing EEV’s mass flow rate mapping method in the whole operating range. Theories of the flashing inception and the evaporation wave through the converging-diverging nozzles are involved. Moreover, momentum equation is calculated with finite volume method for metastable refrigerant converging flow. The developed novel method for EEV model is verified with laboratory based EEV’s field performance data, showing the accuracy is within ±10%.
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Details
- Original title: A white-box modelling methodology for electronic expansion valve by considering choked flow.
- Record ID : 30030705
- Languages: English
- Subject: Technology
- Source: 2022 Purdue Conferences. 19th International Refrigeration and Air-Conditioning Conference at Purdue.
- Publication date: 2022
Links
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Indexing
- Themes: Expansion systems
- Keywords: Modelling; Expansion valve; Machine learning; Geometry; Thermodynamic property; Flow; Electronic expansion valve
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Mass flow characteristics prediction of refrige...
- Author(s) : WAN A., GONG Z., CHEN T., AL-BUKHAITI K.
- Date : 2024/02
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 158
- Formats : PDF
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A method for modelling adjustable throat-area e...
- Author(s) : LI H., BRAUN J. E.
- Date : 2008/07
- Languages : English
- Source: HVAC&R Research - vol. 14 - n. 4
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Panorama des détendeurs électroniques disponibl...
- Date : 2002/07
- Languages : French
- Source: La revue pratique du froid et du conditionnement d'air - n. 906
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Simulation study on noise reduction effect of p...
- Author(s) : KONG F., ZHAO H., XU Q., LI D., CHEN Z., DONG X.
- Date : 2023/07
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 151
- Formats : PDF
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Experimental and numerical study on characteris...
- Author(s) : YANG Y., HUANG D., ZHAO R., WEI X.
- Date : 2024/04
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 160
- Formats : PDF
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