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Gel Weight Estimation for Cold-Chain Packaging


 
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1. Title Title of document Gel Weight Estimation for Cold-Chain Packaging
 
2. Creator Author's name, affiliation, country Rachel Pham; School of Sciences, Christian Brothers University, 650 East Parkway South, Memphis, TN, USA; United States
 
2. Creator Author's name, affiliation, country Mona Al Assi; Gadomski School of Engineering, Christian Brothers University, 650 East Parkway South, Memphis, TN, USA; United States
 
2. Creator Author's name, affiliation, country Deliya Duckworth; Gadomski School of Engineering, Christian Brothers University, 650 East Parkway South, Memphis, TN, USA; United States
 
2. Creator Author's name, affiliation, country Kevesha Snow; Gadomski School of Engineering, Christian Brothers University, 650 East Parkway South, Memphis, TN, USA; United States
 
2. Creator Author's name, affiliation, country Kyle Nicholson; Gadomski School of Engineering, Christian Brothers University, 650 East Parkway South, Memphis, TN, USA; United States
 
2. Creator Author's name, affiliation, country Siripong Malasri; Gadomski School of Engineering, Christian Brothers University, 650 East Parkway South, Memphis, TN, USA; United States
 
2. Creator Author's name, affiliation, country (doi: 10.23953/cloud.ijapt.472)
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Cold-Chain Packaging; Coolant Amount Estimation; Artificial Neural Network
 
4. Description Abstract Cold-chain packaging is critical to shipments of temperature-sensitive products. The simplest practice is to put products inside an insulated shipping container with a sufficient coolant amount to maintain a certain temperature during the distribution process. In this study, a 12 x 12 x 11½” expanded polystyrene insulated container with 2” wall thickness was used along with non-toxic gel pack coolant. Temperature data was collected under exterior temperature conditions of 60F, 90F, and 113F. The data was plotted and equations were derived for estimating the amount of gel packs needed for a given trip duration, product threshold temperature, and exterior temperature. In addition, Gel Pack Estimator, an Excel application, was developed based on artificial neural network technology.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2020-07-07
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJAPT/article/view/1006
 
10. Identifier Digital Object Identifier 10.23953/1006
 
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Packaging Technology; Vol 8, No 1 (2020)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions

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