Simulation of Refrigerated Food Quality during Storage and Distribution
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| Language: | English |
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The Ohio State University / OhioLINK
2020
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1587045898641609 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu1587045898641609 |
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oai_dc |
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NDLTD |
| language |
English |
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NDLTD |
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Engineering Food Science Engineering Food Engineering Heat transfer Simulation Cold chain distribution |
| spellingShingle |
Engineering Food Science Engineering Food Engineering Heat transfer Simulation Cold chain distribution Blanchard, Jacquelyn Simulation of Refrigerated Food Quality during Storage and Distribution |
| author |
Blanchard, Jacquelyn |
| author_facet |
Blanchard, Jacquelyn |
| author_sort |
Blanchard, Jacquelyn |
| title |
Simulation of Refrigerated Food Quality during Storage and Distribution |
| title_short |
Simulation of Refrigerated Food Quality during Storage and Distribution |
| title_full |
Simulation of Refrigerated Food Quality during Storage and Distribution |
| title_fullStr |
Simulation of Refrigerated Food Quality during Storage and Distribution |
| title_full_unstemmed |
Simulation of Refrigerated Food Quality during Storage and Distribution |
| title_sort |
simulation of refrigerated food quality during storage and distribution |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2020 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1587045898641609 |
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AT blanchardjacquelyn simulationofrefrigeratedfoodqualityduringstorageanddistribution |
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1719457040243359744 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu15870458986416092021-08-03T07:14:29Z Simulation of Refrigerated Food Quality during Storage and Distribution Blanchard, Jacquelyn Engineering Food Science Engineering Food Engineering Heat transfer Simulation Cold chain distribution Refrigeration helps to reduce the rate of reactions (physiological, biochemical, or physical) occurring within a food product. Maintaining an efficient cold chain provides the best conditions for preventing these changes. Temperature deviations during cold chain distribution negatively influence the quality and shelf-life of food products. There has been limited investigation on the impact of product configuration inside storage containers on temperature distribution history. The overall objective of this research was to develop a three-dimensional model to simulate temperature distribution history within a storage container during cold chain distribution. Specific objectives of this study include: (1) Development of a three-dimensional numerical simulation of heat transfer in a distribution container; (2) Simulate temperature distribution histories within a storage container subjected to a range of ambient air temperatures; (3) Validate the temperature distribution histories for a model food product; (4) Simulate microbial growth to describe the growth rate as a function of temperature and location within a shipping container; and (5) demonstrate the use of surface temperature to predict temperature histories and microbial growth within the shipping container. COMSOL Multiphysics® was used to create the three-dimensional simulation. The geometry was created to include a cardboard box and model food product and determined based on the Volume Fraction of Air (VFA) desired for each simulation. Inputs for the model included product composition, thermophysical properties, initial product and ambient air temperature, and convective heat transfer coefficient. Composite thermophysical properties, density, specific heat, thermal conductivity, and thermal diffusivity, were predicted based on product composition and VFA. Seven locations within the containers were selected, and the simulated temperature histories at these locations were predicted for all five levels of VFA. Experimental confirmation of the simulation was completed by exposing two storage containers to heating from 0 to 40 °C, followed by cooling from 40 to 0 °C for all five VFA (0.10, 0.40, 0.60, 0.75, and 0.90). Agreement (RMSE) between simulation and experimental results ranged from 1.4 to 10.9 °C depending on the VFA and sensor location. These results are dependent on the composite thermal properties inputted into the simulation. Application of the simulation for a refrigerated food product in cold chain distribution was evaluated by incorporating the composition of ground beef into the simulation. The simulation predicted the effect the temperature-dependent properties and VFA on temperate distribution histories within the container during periods of temperature deviations. The simulation developed during this investigation provides the capability to estimate temperature distribution histories and microbial growth in refrigerated foods during storage and distribution. The simulation accounts for the volume of the distribution container occupied by product and demonstrates the differences in microbial growth at locations near the surface of the container as compared to locations at the geometric center. The remote sensing of container surface temperatures, along with information on container size and product mass, can be used to predict the influence of temperature deviations on product quality prior to the product reaching the consumer. 2020 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1587045898641609 http://rave.ohiolink.edu/etdc/view?acc_num=osu1587045898641609 restricted--full text unavailable until 2022-05-13 This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |