Exergy assessment of infrared assisted air impingement dryer using response surface methodology, Back Propagation-Artificial Neural Network, and multi-objective genetic algorithm

Exergy assessment of infrared assisted air impingement dryer using response surface methodology, Back Propagation-Artificial Neural Network, and multi-objective genetic algorithm

This study deals with the exergy analysis of the thin-layer drying process of apple fruit via an infrared-assisted air impingement dryer. In the study, process conditions, namely, drying temperature (50–70 °C), slice thickness (2–6 mm), and recirculation ratio (10–90 %) were considered as independen...

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Bibliographic Details
Main Authors: Chinmayee Parida, Pramod Kumar Sahoo, Rabiya Nasir, Liaqat Ali Waseem, Aqil Tariq, Muhammad Aslam, Wesam Atef Hatamleh
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Case Studies in Thermal Engineering
Subjects:
Infrared-assisted hybrid dryer
Exergy
RSM
BP-ANN-MOGA
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X2301242X

Internet

http://www.sciencedirect.com/science/article/pii/S2214157X2301242X

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