AGRICULTURAL
UNIVERSITY OF ATHENS
Department of Food 
Science & Human Nutrition

Computer Applications in Food Processing

Content

1. Course Structure/Requirements. Introduction to modeling in food processing. Basic concepts in using EXCEL.
2. MATLAB I: Learning basic commands, vectors and matrices in MATLAB.
3. MATLAB II: Graphs and programming (m-files).
4. Solving mass balances (systems of linear algebraic equations). Examples in MATLAB and EXCEL.
5. Solving food engineering and food biotechnology problems, expressed through non - linear algebraic equations or systems of nonlinear algebraic equations.
6. Numerical methods of "Successive substitutions", "Bisection", "Newton-Raphson" for solving nonlinear algebraic equations.
7. Curve fitting of experimental data (regression analysis, least squares method). Examples using EXCEL and MATLAB.
8. Analytical solution for temperature profile calculation for products heating by conduction. Calculation of the temperature at the geometric center of a slab using the EXCEL. Comparison with literature values from charts .
9. Ordinary differential equations - initial value problems. Simulation of lactose hydrolysis by beta- galactosidase using MATLAB.
10. Numerical integration. Calculation of the F value of a thermal process using EXCEL and MATLAB.
11. Introduction to process optimization. Basic definitions of optimization problems.
12. Simple and multiple, linear and nonlinear regression analysis. Determination of parameter by of least squares method using EXCEL. Procedure "SOLVER". Simultaneous determination of D and z values by nonlinear regression analysis.
13. Linear programming with MATLAB. Example of cost optimization in selecting various foods to achieve a balanced diet of a child using MATLAB.

Learning results

The course introduces the principles and methodologies for modeling and optimizing food related processes through computational tools. The course material includes: Introduction to modeling of food processes. Nonlinear algebraic equations. Systems of linear and non-linear algebraic equations. Simple and multiple linear and nonlinear regression. Systems of ordinary differential equations - Initial Value Problems. Numerical integration. Introduction to optimization. Linear programming. Applications through EXCEL and MATLAB.
Upon successful completion of this course the student will become familiar with the use of mathematical equations to describe the basic phenomena observed in food processes. He will learn the basic numerical methods for solving various mathematical problems, and the use of the EXCEL and MATLAB software for modeling and optimization in food processing.

Bibliography

1. CLEVE B. MOLER, ΑΡΙΘΜΗΤΙΚΕΣ ΜΕΘΟΔΟΙ ΜΕ ΤΟ MATLAB (μετάφραση), ΕΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ, ΑΘΗΝΑ, 2010.
2. ΜΟΥΣΑΣ ΒΑΣΙΛΕΙΟΣ Χ., ΒΑΣΙΚΗ ΧΡΗΣΗ ΚΑΙ ΠΡΟΓΡΑΜΜΑΤΙΣΜΟΣ MATLAB 7 (ΠΕΡΙΕΧΕΙ CD), ΕΚΔΟΣΕΙΣ ΙΩΝ ΣΤΕΛΛΑ ΠΑΡΙΚΟΥ & ΣΙΑ ΟΕ, ΠΕΡΙΣΤΕΡΙ, 2009
3. PAUL CORNELL, ΑΝΑΛΥΣΗ ΔΕΔΟΜΕΝΩΝ ΜΕ ΤΟ MICROSOFT EXCEL (μετάφραση), ΕΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ, ΑΘΗΝΑ, 2004.

Faculty

2105294706
stoforos@aua.gr
Nikolaos G. Stoforos, a Chemical Engineer (National Technical University of Athens, 1978), is Professor […]

NEWSLETTER

The Department of Food Science and Human Nutrition (renamed Department of Food Science and Technology, Decree 80/27/5/13, Government Gazette A119 28/5/13) offers its students the scientific background for a rational approach to scientific and technological issues related to the food sector.
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