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- W1524158635 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 h c 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 4 th order Runge-Kutta method, to solve the governing equation, with non-linear optimization, via the built-in Solver, to determine the coefficient h c . In this work, the coefficient h c 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 h c = 12.0 ± 4.1 W m - 2 K - 1 , whilst the lowest values (associated with the worst cooling scenarios) were about h c » 6.0 W m - 2 K - 1 ." @default.
- W1524158635 created "2016-06-24" @default.
- W1524158635 date "2014-10-18" @default.
- W1524158635 modified "2023-10-18" @default.
- W1524158635 title "Blast-cooling of beef-in-sauce catering meals: numerical results based on a dynamic zero-order model" @default.
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- W1524158635 doi "https://doi.org/10.7455/ijfs/3.2.2014.a7" @default.
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