Sensitivity of the food centre temperature with respect to the air velocity and the turbulence kinetic energy P. Verboven * , N. Scheerlinck, J. De Baerdemaeker, B.M. Nicola õ Katholieke Universiteit Leuven, Department of Agro-Engineering and Economics, W. de Croylaan 42, Kardinaal Mercierlaan 92 E, B-3001 Leuven, Belgium Accepted 28 August 2000 Abstract The surface heat transfer coecient is an important parameter to characterise forced convection heating and cooling processes. It expresses the in¯uence of ¯ow phenomena on the heat transfer rate to foods. For thermal process calculations, one often relies on dimensionless correlations that contain the ¯ow properties, namely the free stream air velocity and the turbulence kinetic energy. This paper discusses the sensitivity of the food temperature with respect to these variables for dierent food geometries and con- ditions. The study is based on the ®nite element analysis of the product temperature deviations as a result from deviations of the surface heat transfer coecient, combined with existing dimensionless correlations for the surface heat transfer coecient. Sensi- tivity charts are constructed, which relate the temperature sensitivity with respect to the free stream air velocity and the turbulence kinetic energy to dierent air ¯ow conditions as a function of time. By constructing sensitivity charts, it is shown that small velocity deviations can lead to large food temperature deviations. The eect of small deviations of the turbulence intensity is not as sig- ni®cant. Ó 2001 Elsevier Science Ltd. All rights reserved. Keywords: Surface heat transfer coecient; Modelling; Finite element analysis; Air ¯ow 1. Introduction The concept of the surface heat transfer coecient h W=m 2 °C originates from Newton's law of cooling, which expresses the surface heat ¯ux q W=m 2 as q hT s T 1 ; 1 with T s °C the surface temperature and T 1 °C the processing temperature. In the case of a constant h (for example, during forced convection heating or cooling), it serves as a linear boundary condition for conductive food heat transfer models based on the Fourier equation and therefore oers computational bene®ts, which ex- plains its popularity. Eq. (1) is not a real law, but rather a de®ning equation for h. The value of h is related to the surface gradient of the thermal boundary layer in the ¯uid, which in turn depends to a large extent on the velocity boundary layer (see, for example, Bird, Stewart, & Lightfoot, 1960). Obviously, the value of h varies along the surface as the boundary layers develop. The boundary layers are in¯uenced by the solid surface ge- ometry, the ¯ow regime and properties and an assort- ment of ¯uid properties (density, viscosity, heat capacity, thermal conductivity). The local distribution of h may be important to a number of food processes, as was shown by Kondjoyan and Daudin (1995) and Ver- boven, Nicola õ, Scheerlinck, and De Baerdemaeker (1997). One way to obtain the distribution of h along the solid surface is to resolve the governing Navier±Stokes equations in the boundary layers. However, complex aerodynamic phenomena such as boundary layer sepa- ration, reattachment, vortex shedding and turbulence do in general not allow an analytical solution for complex shapes such as food products. The numerical solution of the Navier±Stokes equations is then required but this remains an active area of research in thermal analysis (Verboven et al., 1997; Kondjoyan & Boisson, 1997; for example, Rhee & Sung, 1996). Also, experimental techniques continue to contribute to the analysis and understanding of the boundary layers and the surface heat transfer coecient (Kondjoyan & Daudin, 1995; Meinders, Martinuzzi, & Hanjalic, 1998). However, currently it is still common practice in thermal food process analysis to determine only a Journal of Food Engineering 48 (2001) 53±60 www.elsevier.com/locate/jfoodeng * Corresponding author. Tel.: +32-16-32-14-53; fax: +32-16-32-29-55. E-mail address: pieter.verboven@agr.kuleuven.ac.be (P. Verboven). 0260-8774/01/$ - see front matter Ó 2001 Elsevier Science Ltd. All rights reserved. PII: S 0 2 6 0 - 8 7 7 4 ( 0 0 ) 0 0 1 4 5 - X