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Non Linear Correlation Optimized for Estimating Enthalpy of Modified Packages in a Cooling and Freezing Temperature Range

[+] Author Affiliations
Marlén Eliana López B., Guillermo E. Valencia, John C. Turizo, Antonio J. Bula

Universidad del Norte, Barranquilla, Colombia

Paper No. IMECE2009-12969, pp. 517-523; 7 pages
  • ASME 2009 International Mechanical Engineering Congress and Exposition
  • Volume 6: Emerging Technologies: Alternative Energy Systems; Energy Systems: Analysis, Thermodynamics and Sustainability
  • Lake Buena Vista, Florida, USA, November 13–19, 2009
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4379-6 | eISBN: 978-0-7918-3863-1
  • Copyright © 2009 by ASME


An optimization and a statistical analysis are presented in order to obtain a mixture based on commercial and inexpensive components, which represents the enthalpy behavior of the package described in UNE-EN441 standard. The enthalpy of the M package, which represents the thermal characteristics of lean meat used in test of refrigerated display cabinets, is estimated as a function of temperature. The package is used to analyze the heat transfer process in packages undergoing cooling or freezing conditions. The package is composed of hard wood sawdust, brine and a preservative. The points required for experimentation are determine according to D-Optimal experiment design, taking into account the concentration of each component. The β’s parameters for the semi-theoretical non linear correlation of the modified package enthalpy are estimated with nonlinear least square approach. Gauss-Newton algorithm with Levenberg-Marquardt modifications for global convergence is used. Correlation for the enthalpy package is presented and suggestions for future experimentation are presented in order to increase the accuracy of the regression.

Copyright © 2009 by ASME



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