PERFORMANCE ANALYSIS OF THE SINGLE JET AIR CURTAIN FOR OPEN REFRIGERATED DISPLAY CABINET BY USING ARTIFICIAL NEURAL NETWORK

Low temperature is the key to maintain the high quality for chilled food. The single jet air curtain is used for doorways opening insulation in the current circumstances is an idealization of the single jet air curtain used in the supermarket open refrigerated display cabinets. Open refrigerated dis...

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Published inJournal of thermal engineering Vol. 6; no. 3; pp. 359 - 368
Main Authors TİTARİYA, Vipin Kumar, AGARWAL, Alka Bani
Format Journal Article
LanguageEnglish
Published 01.04.2020
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Abstract Low temperature is the key to maintain the high quality for chilled food. The single jet air curtain is used for doorways opening insulation in the current circumstances is an idealization of the single jet air curtain used in the supermarket open refrigerated display cabinets. Open refrigerated display cabinets are going through some of the changes in their thermal behavior and of its overall performance due to variations in air conditions like air curtain temperature, velocity, height/width ratio, deflection module, specific cooling load, stability and thermal efficiency. A detailed experimental and comprehensive Artificial Neural Network Analysis of air conditions and energy transfer in an open refrigerated display cabinet is performed in this study. Numerical ANN predictions are 99.77% accurate and can be used to enable quick calculations and parametric analyses for the designing purposes of open refrigeration equipment that reduce the thermal infiltration of the Open Refrigerated Display Cabinet and increase the food safety.
AbstractList Low temperature is the key to maintain the high quality for chilled food. The single jet air curtain is used for doorways opening insulation in the current circumstances is an idealization of the single jet air curtain used in the supermarket open refrigerated display cabinets. Open refrigerated display cabinets are going through some of the changes in their thermal behavior and of its overall performance due to variations in air conditions like air curtain temperature, velocity, height/width ratio, deflection module, specific cooling load, stability and thermal efficiency. A detailed experimental and comprehensive Artificial Neural Network Analysis of air conditions and energy transfer in an open refrigerated display cabinet is performed in this study. Numerical ANN predictions are 99.77% accurate and can be used to enable quick calculations and parametric analyses for the designing purposes of open refrigeration equipment that reduce the thermal infiltration of the Open Refrigerated Display Cabinet and increase the food safety.
Author TİTARİYA, Vipin Kumar
AGARWAL, Alka Bani
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Cites_doi 10.1016/j.applthermaleng.2010.11.020
10.1016/S0140-7007(00)00015-3
10.1016/j.jfoodeng.2004.08.016
10.1115/1.1478586
10.1016/j.ijrefrig.2007.09.005
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