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Softwood Pallet Stringer Temperature Estimation


 
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1. Title Title of document Softwood Pallet Stringer Temperature Estimation
 
2. Creator Author's name, affiliation, country Ali Pourhashemi; Healthcare Packaging Consortium, Christian Brothers University, 650 East Parkway South, Memphis, TN, USA
 
2. Creator Author's name, affiliation, country Siripong Malasri; Healthcare Packaging Consortium, Christian Brothers University, 650 East Parkway South, Memphis, TN, USA
 
2. Creator Author's name, affiliation, country (doi: 10.23953/cloud.ijapt.11)
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Wooden Pallets; Temperature Estimation; Heat Transfer; Artificial Neural Network
 
4. Description Abstract

Monitoring temperature inside a pallet specimen during a test could be challenging. In this study, two methods were used to estimate temperature in a softwood pallet stringer at the time of testing based on the initial temperature of when it was removed from a temperature chamber and the duration of when it was removed from a chamber until the time it was tested. Five cooling down and three warming up temperature profiles were collected using thermocouples. In the first method, an artificial neural network was developed based on the collected data. In the second method, a mathematical model was suggested based on heat transfer principles. Collected data was used to validate the model. Both methods yield satisfactory results. The heat transfer model allows temperature estimation for specimens with different thickness and species, while the neural network is more precise but limited to the specimen used. Both methods allow other researchers to estimate the temperature without having to collect temperature data.

 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2014-06-18
 
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/Tech-277
 
10. Identifier Digital Object Identifier 10.23953/Tech-277
 
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Packaging Technology; Vol 2, No 1 (2014)
 
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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