Download Modeling Food Processing Operations by Serafim Bakalis, Kai Knoerzer, Peter J Fryer PDF

By Serafim Bakalis, Kai Knoerzer, Peter J Fryer

Computational modeling is a vital instrument for knowing and bettering nutrients processing and production. it truly is used for lots of varied reasons, together with technique layout and approach optimization. even though, modeling is going past the method and will contain functions to appreciate and optimize nutrition garage and the meals offer chain, and to accomplish a existence cycle research. Modeling nutrients Processing Operations provides a finished evaluate of many of the functions of modeling in traditional nutrition processing. the desires of undefined, present practices, and cutting-edge applied sciences are tested, and case reviews are provided.

Part One presents an advent to the subject, with a specific concentrate on modeling and simulation concepts in meals processing operations. half stories the modeling of assorted nutrients procedures related to heating and cooling. those procedures comprise: thermal inactivation; sterilization and pasteurization; drying; baking; frying; and chilled and frozen nutrients processing, garage and show. half 3 examines the modeling of multiphase unit operations comparable to membrane separation, extrusion methods and nutrients digestion, and stories versions used to optimize nutrients distribution.

  • Comprehensively reports a number of the functions of modeling in traditional meals processing
  • Examines the modeling of multiphase unit operations and numerous nutrition approaches concerning heating and cooling
  • Analyzes the versions used to optimize nutrition distribution

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Nature 383, 313–318. , 2002. Interferometrische Dichtemessung an fl€ ussigen Lebensmitteln. In: Leder, A. ), Lasermethoden in der Str€omungsmesstechnik, 10. Fachtagung. Rostock Universita¨tsdruckerei, Rostock. , 2003. Interferometrische in-situ Densitometrie fluider hochkomprimierter Lebensmittel. In: Dopheide, D. ), Lasermethoden in der Str€omungsmesstechnik, 11. Fachtagung. Braunschweig, Universita¨tsdruckerei Braunschweig. , 2012. Pulsed electric field processing of fluid foods. , Valdramidis, V.

A neuro-statistical method for fault detection in stochastic systems. In: Proceedings of the 1998 IEEE International Conference on Control Applications 1, pp. 283–287. , 2006. Multiphase Flow Handbook. Taylor & Francis, Boca Raton. , 2014. Hybrid artificial neural network for prediction and control of process variables in food extrusion. Innov. Food Sci. Emerg. Technol. 21, 142–150. , 2007. Methods for Numerical Integration. Dover Publications, New York. , 2002. Increasing preservation efficiency and product quality through control of temperature distributions in high pressure applications.

Hybrids that include knowledge purely via classical balancing equations 2. Hybrids that combine knowledge expressed by classical balancing equations with that gained by knowledge extraction methods such as statistical, data mining and cognitive approaches 3. Hybrids that directly employ experimentally accessible knowledge for the modelling and simulation of food processing. g. density, viscosity, elasticity, thermal capacity, heat conductivity, pH-value and reaction rate and order) are generally required for solving the balancing equations.

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