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Author:

Han, Jia-Wei (Han, Jia-Wei.) | Zhao, Chun-Jiang (Zhao, Chun-Jiang.) (Scholars:赵春江) | Yang, Xin-Ting (Yang, Xin-Ting.) | Qian, Jian-Ping (Qian, Jian-Ping.) | Fan, Bei-Lei (Fan, Bei-Lei.)

Indexed by:

EI Scopus SCIE

Abstract:

Optimization of fresh fruit packaging designs is required to reduce energy loss by minimizing the pre-cooling time and to enhance fruit quality by providing more uniform cooling without inducing chilling injuries. In this work, a computational fluid dynamics (CFD) model is developed to study the airflow patterns and heat transfer inside an existing container and a newly developed container. The CFD model employs an unsteady-state approach based on a two-equation eddy-viscosity turbulence model (SST-kappa -omega model). The cooling performance of the existing container and the new container are evaluated experimentally and numerically with the CFD model. The CFD results reveal a complex and uneven distribution of the airflow inside the existing vented package. Such airflow leads to a non-uniform temperature distribution over the produce, with a maximum temperature difference of similar to 8 degrees C between two layers of stacked produce. For the new boxes, the half-cooling time and coefficient of temperature variation are about twofold less than those for the existing boxes, and the maximum temperature difference is similar to 2.5 degrees C between two layers of stacked produce. Thus, the new package design clearly shows significant improvements in cooling performance. The numerical model is verified by comparing the simulation results to those of experiments, and the predicted results are consistent with the measured results. The maximum temperature deviation is less than 1.5 degrees C, and the maximum root-mean-square error and average relative error for produce temperature are 1.452 degrees C and 13.6%, respectively. This research provides a reliable theoretical and experimental basis for improving airflow and produce-temperature uniformity and for minimizing energy consumption during the forced-convection cooling of produce. (C) 2015 Elsevier Ltd. All rights reserved.

Keyword:

Heat transfer Numerical analysis Temperature distribution Forced-air precooling Computational fluid dynamics (CFD)

Author Community:

  • [ 1 ] [Han, Jia-Wei]Beijing Univ Technol, Coll Comp, Beijing 100124, Peoples R China
  • [ 2 ] [Han, Jia-Wei]Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
  • [ 3 ] [Zhao, Chun-Jiang]Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
  • [ 4 ] [Yang, Xin-Ting]Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
  • [ 5 ] [Qian, Jian-Ping]Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
  • [ 6 ] [Fan, Bei-Lei]Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

Reprint Author's Address:

  • 赵春江

    [Zhao, Chun-Jiang]Room 307,Bldg A,11 ShuguangHuayuan Middle Rd, Beijing 100097, Peoples R China

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Source :

APPLIED THERMAL ENGINEERING

ISSN: 1359-4311

Year: 2015

Volume: 91

Page: 883-893

6 . 4 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:174

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 77

SCOPUS Cited Count: 95

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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