Handbook of Food and Bioprocess Modeling Techniques provides a comprehensive overview of the modeling options available to today's researcher. It covers a wide range of topics including:

• transport processes
• reaction kinetics
• probabilistic modeling
• data mining
• neural network and genetic algorithms
• both mesoscale and macroscale modeling

Each chapter is complete with a clear, succinct description of a specific modeling technique, followed by detailed examples of the utilization, application, benefits, and limitations of the technique described. The book emphasizes problem formulation and explains the choice and structure of the modeling technique from an application point of view.

Features:

• Offers fundamental aspects, problem formulation, and solutions as well as practical applications for different modeling techniques
• Covers a huge range of techniques including computational fluid dynamics, stochastic modeling, lattice-Boltzmann, multivariate analysis, artificial neural network modeling, fuzzy modeling, and dimensional analysis
• Explains the benefits and limitations of modeling techniques as appropriate for different levels of complexity
• Emphasizes problem formulation and offers numerous examples of applications of each technique in the food industry
• Compiles the efforts of contributors from around the globe

Contents

1. Mathematical Modeling Techniques in Food and Bioprocesses: An Overview

Part I: Physics-Based Models

2. Lattice Boltzmann Simulation of Microstructures
3. Fluid Flow and Its Modeling Using Computational Fluid Dynamics
4. Heat Transfer
5. Mass Transfer: Membrane Processes
6. Simultaneous Heat and Mass Transfer
7. Reaction Kinetics
8. Probabilistic Modeling

Part II: Observation-Based Models

9. Experimental Design and Response-Surface Methodology
10. Multivariate Analysis
11. Data Mining
12. Artificial Neural Network Modeling
13. Genetic Algorithms
14. Fractal Analysis
15. Fuzzy Modeling

Part III: Some Generic Modeling Techniques

16. Monte Carlo Simulation
17. Dimensional Analysis
18. Linear Programming

Index

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