EconPapers    
Economics at your fingertips  
 

Computer Simulation of Airflow Distribution in a Heat Pump Dryer

Kavindi M. A. R., Amaratunga K.S.P. and Ekanayake E.M.A.c
Additional contact information
Kavindi M. A. R.: Department of Agricultural Engineering, Faculty of Agriculture, University of Peradeniya, Sri Lanka.
Amaratunga K.S.P.: Department of Agricultural Engineering, Faculty of Agriculture, University of Peradeniya, Sri Lanka.
Ekanayake E.M.A.c: Postgraduate Institute of Agriculture, University of Peradeniya, Sri Lanka.

International Journal of Research and Innovation in Applied Science, 2022, vol. 7, issue 9, 76-82

Abstract: Computer simulation is an effective technique for better understanding the physical phenomena of drying. Understanding and predicting the drying behavior before applying the material would increase the dryer efficiency by properly designing existing heat pump dryer systems. This study was done to simulate the airflow in a heat pump dryer chamber using Computational Fluid Dynamics (CFD). COMSOL Multiphysics software v5.4 has been used for simulation. Air velocity, temperature, and relative humidity distribution profile were achieved by solving the Naiver stoke fluid equation, Heat transfer equation, and Transport of diluted species equation (Fick’s law). The simulated data for nine different locations were verified using experimental results. The relative error and mean relative deviation for temperature profile were less than ±1.8% and 7.8%. It was recorded less than ±2.8% and 10.6% values for the relative error and mean relative deviation for relative humidity profiles. Therefore, this would be a suitable prediction method to understand the airflow pattern and conditions inside a chamber.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijrias/ ... -7-issue-9/76-82.pdf (application/pdf)
https://www.rsisinternational.org/virtual-library/ ... 051938702.1694191524 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjf:journl:v:7:y:2022:i:9:p:76-82

Access Statistics for this article

International Journal of Research and Innovation in Applied Science is currently edited by Dr. Renu Malsaria

More articles in International Journal of Research and Innovation in Applied Science from International Journal of Research and Innovation in Applied Science (IJRIAS)
Bibliographic data for series maintained by Dr. Renu Malsaria ().

 
Page updated 2025-03-19
Handle: RePEc:bjf:journl:v:7:y:2022:i:9:p:76-82