Virtual Processing of Fish Fillets

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Abstract:

This paper presents the application of digital simulation to explore the processing of fish fillets of different geometries in an air blast freezer. The main advantage of this virtual processing approach is that it allows for the comparison of the freezing times, production rates, energy consumptions and the costs of freezing fillets of different shapes and sizes. These parameters could be critical for production planning and are discussed in the paper.

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Advanced Materials Research (Volumes 690-693)

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3149-3156

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May 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] S. Sigurgisladottir, H. Ingvarsdottir, O.J. Torrissen, M. Cardinal, and H. Hafsteinsson: Effects of freezing/thawing on the microstructure and the texture of smoked Atlantic salmon (Salmo salar). Food Research International Vol. 33 (2000), pp.857-865.

DOI: 10.1016/s0963-9969(00)00105-8

Google Scholar

[2] W. Xiang, S.C. Fok, and G. Thimm: Agent-based composable simulation for virtual prototyping of fluid power system. Computers in Industry Vol. 54 (2004), pp.237-251.

DOI: 10.1016/j.compind.2003.12.001

Google Scholar

[3] M. Medina-Vivanco, P.J.A. Sobral, A.M. Sereno, and M.D. Hubinger: Thermal analysis of osmotically dehydrated tilapia muscle: Effect of sodium chloride and sucrose on denaturation temperature of myofibrillar proteins. Proceedings of the 14th International Drying Symposium, Vol. C (2004), pp.1859-1867, Sao Paulo, Brazil.

DOI: 10.1080/10942910601185184

Google Scholar

[4] S. Radhakrishnan: Measurement of thermal properties of seafood (Master thesis, Department of Biological Systems Engineering, Virginia Polytechnic Institute and State University, USA, June 26, 1997).

Google Scholar

[5] V.R. Voller, A.D. Brent, and C. Prakash: The modeling of heat, mass and solute transport in solidification systems, International Journal of Heat and Mass Transfer Vol. 32 (1989) pp.1719-1731.

DOI: 10.1016/0017-9310(89)90054-9

Google Scholar

[6] A. D. Brent, V. R. Voller, and K. J. Reid: Enthalpy-porosity technique for modeling convection-diffusion phase change: application to the melting of pure metal. Numerical Heat Transfer Vol. 13 (1988), pp.297-318.

DOI: 10.1080/10407788808913615

Google Scholar

[7] Q.T. Pham: Simplified equation for predicting the freezing time of foodstuffs. Journal of Food Technology Vol. 21 (1986), pp.209-219.

DOI: 10.1111/j.1365-2621.1986.tb00442.x

Google Scholar

[8] L.A. Campanone, V.O. Salvadori, and R.H. Mascheroni: Food freezing with simultaneous surface dehydration: an approximate prediction of freezing time. International Journal of Heat and Mass Transfer Vol. 48 (2005), pp.1205-1213.

DOI: 10.1016/j.ijheatmasstransfer.2004.09.030

Google Scholar