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Jose A. Rabi, Fernando L. Caneppele

(2018)

Numerical methods to biosystems and food engineering students: Hands‐on practices and cross‐disciplinary integration

Computer Applications in Engineering Education, 26(5)

10.1002/cae.21933

Blast-cooling of beef-in-sauce catering meals: numerical results based on a dynamic zero-order model

Jose A. Rabi ,
Jose A. Rabi
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Evelyne Derens-Bertheau ,
Evelyne Derens-Bertheau
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Elisabeth Morelli ,
Elisabeth Morelli
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Isabelle Trezzani-Harbelot
Isabelle Trezzani-Harbelot
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Published: 01.12.2013.

Volume 3, Issue 2 (2014)

https://doi.org/10.7455/ijfs.v3i2.227

Abstract

Beef-in-sauce catering meals under blast-cooling have been investigated in a research project which aims at quantitative HACCP (hazard analysis critical control point). In view of its prospective coupling to a predictive microbiology model proposed in the project, zero-order spatial dependence has proved to suitably predict meal temperatures in response to temperature variations in the cooling air. This approach has modelled heat transfer rates via the a priori unknown convective coefficient hc which is allowed to vary due to uncertainty and variability in the actual modus operandi of the chosen case study hospital kitchen. Implemented in MS Excel®, the numerical procedure has successfully combined the 4th order Runge-Kutta method, to solve the governing equation, with non-linear optimization, via the built-in Solver, to determine the coefficient hc. In this work, the coefficient hc was assessed for 119 distinct recently-cooked meal samples whose temperature-time profiles were recorded in situ after 17 technical visits to the hospital kitchen over a year. The average value and standard deviation results were hc = 12.0 ± 4.1 W m-2 K-1, whilst the lowest values (associated with the worst cooling scenarios) were about hc » 6.0 W m-2 K-1.

References

1.
Almonacid S, Simpson R, Teixeira A. Heat Transfer Models for Predicting Salmonella enteritidis in Shell Eggs Through Supply Chain Distribution. Journal of Food Science. 2007;72(9).
2.
Amézquita A, Weller CL, Wang L, Thippareddi H, Burson DE. Development of an integrated model for heat transfer and dynamic growth of Clostridium perfringens during the cooling of cooked boneless ham. International Journal of Food Microbiology. 2005;101(2):123–44.
3.
Amos ND, Willix J, Chadderton T, North MF. A compilation of correlation parameters for predicting the enthalpy and thermal conductivity of solid foods within the temperature range of −40°C to +40°C. International Journal of Refrigeration. 2008;31(7):1293–8.
4.
Barbin D, Junior V. Comparison of the effects of air flow and product arrangement on freezing process by convective heat transfer coefficient measurement. Heat Transfer e Theoretical Analysis, Experimental Investigations and Industrial Systems, ISBN. 2011;978–953.
5.
Bellara SR, McFarlane CM, Thomas CR, Fryer PJ. The growth of Escherichiacoli in a food simulant during conduction cooling: combining engineering and microbiological modelling. Chemical Engineering Science. 2000;55(24):6085–95.

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