Home LiteratureArticle Details
PMID: 33312543 Published · epublish English Journal Article

Sensitivity analysis of heat and mass transfer characteristics during forced-air cooling process of peaches on different air-inflow velocities.

Food science & nutrition ·Vol. 8 ·No. 12 ·2020-12-00 ·Pages 6592-6602

Chen YM, Song HY, Chen ZS, Zhao R, Su Q, Jin PY, Sun YS, Wang H

Abstract

Peach is one of the most perishable fruits. During forced-convection cooling, the heat sources (respiratory and evaporative latent heat) internal to freshly harvested peaches have a remarkable influence on its evaluation of cooling characteristics with respect to various cooling strategies. Therefore, to improve the accuracy of simulation results in peaches cooling, the term of heat source was coded as detailed procedures and included into a computational fluid dynamics (CFD) model. By comparing the temperature simulated with and without considering these heat sources, it is found that a reasonable decrease in variations of cooling performances is obtained with sustained increase in air-inflow velocities. A maximum discrepancy in peaches volume-weighted average temperature (∆T vwa-max) is mainly concentrated in 0.1-0.3°C when the air-inflow velocity not exceeds 1.7 m/s, and its corresponded 7/8ths cooling time (SECT) is also prolonged by 1-6 min. This means that, below 1.7 m/s, these heat sources should be added as a term into the heat transfer equations for modifying the mathematical model inside peaches computational domain. Furthermore, the feasibility of this modeling method is confirmed by a great agreement with experiments, and its modified model has a higher accuracy with the decreased RMSE and MAPE values of 6.90%-11.26% and 7.28%-12.95%, respectively.

Keywords
computational fluid dynamics forced‐air cooling freshly harvested peaches heat source term precooling performance
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Chen Ying-Min ORCID
College of Agricultural Engineering Shanxi Agricultural University Taigu China.
Song Hai-Yan
College of Agricultural Engineering Shanxi Agricultural University Taigu China.
Chen Zhen-Shi
Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications Institute of Photonics Technology Jinan University Guangzhou China. | State Key Laboratory of Optoelectronic Materials and Technologies and School of Electronics and Information Technology Sun Yat-Sen University Guangzhou China.
Zhao Rui
College of Agricultural Engineering Shanxi Agricultural University Taigu China.
Su Qin
College of Agricultural Engineering Shanxi Agricultural University Taigu China.
Jin Peng-Yong
College of Agricultural Engineering Shanxi Agricultural University Taigu China.
Sun Yi-Shu
College of Agricultural Engineering Shanxi Agricultural University Taigu China.
Wang Hao
College of Agricultural Engineering Shanxi Agricultural University Taigu China.
Article Info
Journal
Food science & nutrition
Abbr.
Food Sci Nutr
ISSN
2048-7177
Published
2020-12-00
Epub
2020-00-20
Pages
6592-6602
Language
English
Country/Region
United States
NLM ID
101605473
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]