Gel Weight Estimation for Cold-Chain Packaging
Dublin Core | PKP Metadata Items | Metadata for this Document | |
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 | |
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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