Estimation de l'inventaire de la charge en frigorigène pour un système de conditionnement d’air automobile.
Estimation of refrigerant charge inventory for an automotive air conditioning system.
Numéro : pap. 2384
Auteurs : PULINKUZHI V., THAKOR V., DATTA S. P., et al.
Résumé
The knowledge about the refrigerant charge distribution in each component of an automotive air-conditioning system (AACS) is essential to predict any leakage into the system, health monitoring and estimation of overall system performances. However, estimating charge distribution in each component is not as easy as finding the total refrigerant mass into the system. It is observed mostly the condenser and the evaporator are the two major components, which consume maximum volume of refrigerant. In this present work the refrigerant inventory in each component of an AACS are estimated by using an analytical technique which is a modified version of Otaki method. It gives an advantage over actual Otaki method by ignoring the outside heat transfer coefficient to accommodate the design complexity of an automotive heat exchanger. Though the heat exchangers are the major stake holders of refrigerant, the residual refrigerant in compressor, liquid line, vapor line and expansion device is estimated according to their volume and density by this modified Otaki method. A comparative study between the Otaki and modified Otaki method justifies the acceptability of the later for a wide range of experimental data with the variation of compressor speed, blower speed and refrigerant charge from undercharging to overcharging.
Documents disponibles
Format PDF
Pages : 10
Disponible
Prix public
20 €
Prix membre*
15 €
* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)
Détails
- Titre original : Estimation of refrigerant charge inventory for an automotive air conditioning system.
- Identifiant de la fiche : 30024527
- Langues : Anglais
- Source : 2018 Purdue Conferences. 17th International Refrigeration and Air-Conditioning Conference at Purdue.
- Date d'édition : 09/07/2018
Liens
Voir d'autres communications du même compte rendu (252)
Voir le compte rendu de la conférence
Indexation
-
A generalized analytic method for predicting re...
- Auteurs : HONG S. B., YOO J. W., KIM M. S.
- Date : 23/04/2017
- Langues : Anglais
- Source : 5th IIR Conference on Thermophysical Properties and Transfer Processes of Refrigerants.
- Formats : PDF
Voir la fiche
-
Mechanistic prediction model for leakage rates ...
- Auteurs : FRIEDEL L., WESTPHAL F.
- Date : 09/1990
- Langues : Anglais
- Source : Experimental Thermal and Fluid Science - vol. 3 - n. 5
Voir la fiche
-
Numerical method on predicting distribution of ...
- Auteurs : HATTORI K., FUKUOKA M., MURATA M., et al.
- Date : 16/08/2015
- Langues : Anglais
- Source : Proceedings of the 24th IIR International Congress of Refrigeration: Yokohama, Japan, August 16-22, 2015.
- Formats : PDF
Voir la fiche
-
Soft measurement and prediction of refrigerant ...
- Auteurs : YANG Y., XU L., HAN H., REN Z., WU K., LIU F.
- Date : 08/2023
- Langues : Anglais
- Source : International Journal of Refrigeration - Revue Internationale du Froid - vol. 152
- Formats : PDF
Voir la fiche
-
A digital twin for fault detection in commercia...
- Auteurs : HADDAD E., ZOUGHAIB A.
- Date : 21/08/2023
- Langues : Anglais
- Source : Proceedings of the 26th IIR International Congress of Refrigeration: Paris , France, August 21-25, 2023.
- Formats : PDF
Voir la fiche