Artificial neural network models for depicting mass flow rate of R22, R407C and R410A through electronic expansion valves

Author:

Saleh B.ORCID,Aly Ayman A.

Publisher

Elsevier BV

Subject

Mechanical Engineering,Building and Construction

Reference31 articles.

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2. A theoretical model for predicting adiabatic capillary tube performance with alternative refrigerants;Bittle;ASHRAE Trans,1996

3. Theory and use of the capillary tube expansion device;Bolstad;Refrig. Eng,1948

4. A new model of mass flow characteristics in electronic expansion valves considering metastability;Chen;Int. J. Therm. Sci,2009

5. Development of control method and dynamic model for multi-evaporator air conditioner (MEAC);Chen;Energy Convers. Manag,2005

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