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Computational modelling of the impact of polystyrene containers on radio frequency heating uniformity improvement for dried soybeans.

Authors :
Huang, Zhi
Zhang, Bo
Marra, Francesco
Wang, Shaojin
Source :
Innovative Food Science & Emerging Technologies. Feb2016, Vol. 33, p365-380. 16p.
Publication Year :
2016

Abstract

Radio frequency (RF) heating has been explored as a new method for postharvest pasteurization and disinfestations, but the non-uniform heating problem needs to be solved. In this study, an experimentally validated simulation model was developed to investigate effects of applying a surrounding polystyrene container on RF heating uniformity improvement in dried soybeans. The computer model was built for soybeans with both low and high moisture contents placed in the rectangular shaped polypropylene and polystyrene containers and heated in a parallel plate RF system. Results showed that the temperature uniformity was greatly improved by placing soybean samples in the polystyrene container other than the polypropylene one. The maximum temperature difference and uniformity index (UI) were reduced. The inner corner radius of 8 cm combined with container thickness of 8 cm could provide the best heating uniformity for soybeans. This newly developed technique can be easily implemented to improve the RF heating uniformity of other low-moisture legumes for industrial applications. Industrial relevance Radio frequency (RF) heating has been explored as a new method for postharvest pasteurization and disinfestations of low-moisture granular legumes, but the non-uniform heating problem needs to be solved before being applied in industry. A validated simulation model was used to demonstrate the better container material and design for ensuring good temperature distributions in practical RF treatments. The optimal parameters from computer simulation may save time and reduce the cost to facilitate the design and scaling-up of the RF treatment protocols. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14668564
Volume :
33
Database :
Academic Search Index
Journal :
Innovative Food Science & Emerging Technologies
Publication Type :
Academic Journal
Accession number :
113256656
Full Text :
https://doi.org/10.1016/j.ifset.2015.11.022