This work is part of a research activity aiming to improve and optimize air flow and temperature distribution inside a refrigerated cold room. An improved flexible air duct design inside the cold room is studied for uniform air flow and minimum temperature gradient inside the cold room. The present study investigates on various flexible air duct designs inside the cold room to provide better thermal management to improve the shelf life of the produce. In this study, the most commonly used refrigerated cold room is considered with inlet and outlet sections placed in the front wall of the room. The numerical modeling of airflow was performed using the computational fluid dynamics (CFD) code Fluent and turbulence modeling with standard k–ε model.
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ASME 2013 Fluids Engineering Division Summer Meeting
July 7–11, 2013
Incline Village, Nevada, USA
Conference Sponsors:
- Fluids Engineering Division
ISBN:
978-0-7918-5554-6
PROCEEDINGS PAPER
Numerical Study and Optimization of Air Flow and Thermal Behavior Inside a Typical Cold Room Loaded With Agricultural Produce Available to Purchase
Abhijith Balakrishna,
Abhijith Balakrishna
Ingersoll Rand, Bangalore, India
Search for other works by this author on:
Wilson Lawrence
Wilson Lawrence
Ingersoll Rand, Bangalore, India
Search for other works by this author on:
Abhijith Balakrishna
Ingersoll Rand, Bangalore, India
Wilson Lawrence
Ingersoll Rand, Bangalore, India
Paper No:
FEDSM2013-16439, V01AT03A019; 6 pages
Published Online:
December 13, 2013
Citation
Balakrishna, A, & Lawrence, W. "Numerical Study and Optimization of Air Flow and Thermal Behavior Inside a Typical Cold Room Loaded With Agricultural Produce." Proceedings of the ASME 2013 Fluids Engineering Division Summer Meeting. Volume 1A, Symposia: Advances in Fluids Engineering Education; Advances in Numerical Modeling for Turbomachinery Flow Optimization; Applications in CFD; Bio-Inspired Fluid Mechanics; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES, and Hybrid RANS/LES Methods. Incline Village, Nevada, USA. July 7–11, 2013. V01AT03A019. ASME. https://doi.org/10.1115/FEDSM2013-16439
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