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

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	B., Marle´n Eliana Lo´pez Guillermo, E. Valencia John, C. Turizo Antonio, J. Bula
Copyright Year	2009
Abstract	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.
Starting Page	517
Ending Page	523
Page Count	7
File Format	PDF
ISBN	9780791843796
DOI	10.1115/IMECE2009-12969
e-ISBN	9780791838631
Volume Number	Volume 6: Emerging Technologies: Alternative Energy Systems; Energy Systems: Analysis, Thermodynamics and Sustainability
Conference Proceedings	ASME 2009 International Mechanical Engineering Congress and Exposition
Language	English
Publisher Date	2009-11-13
Publisher Place	Lake Buena Vista, Florida, USA
Access Restriction	Subscribed
Subject Keyword	D-optimal design Enthalpy Optimization Modified package Temperature Cooling Freezing
Content Type	Text
Resource Type	Article

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