Food Physics: Modeling: Problem Formulation [Part 2 of 7]

This video is part of a course on food physics of which this one belongs to the modeling section. If interested in this freely available course, please write to Professor Datta at [e-mail]
In this module, we will be introduced to the basic steps in transforming reality into a model that is developing a real-world food process into its mathematical equivalent.
This module is Part 2 of a seven-part series on problem formulation, discussing how to consider goals in a modeling project. The contents of the entire series are 1) introducing problem formulation, 2) Setting up the goals for problem formulation, 3) Simplifying the geometry or setting up the computational domain, 4) Setting up the governing equations by first choosing a modeling framework and simplifying the equations, 5) Setting up of the boundary conditions, 6) Decide on the properties and parameters related to the process, and 7) Summary of all the steps together with consideration for errors and uncertainties.
This series of videos is targeted toward the introductory modeler. Each video in the series is a small step that includes active learning where the learner is advised to pause the video and apply the principles in that video to his/her/group’s intended project.
Once we have completed this series of videos on problem formulation, we are ready to solve the equations. Thus, the next series of videos addresses the computational aspects, primarily the implementation of the model in computational software such as COMSOL Multiphysics. It also includes the basics of finite difference and finite element methods of solving the equations