| Abstract |
In this project, we will develop new systematic methods for the development and analysis of mathematical models of processes from the food industry. We aim to develop tools for the development of rigorous and reliable mathematical models, and to apply these tools to two emerging technologies for thermal processing, which are very complex to model.
We will study procedures for:
- identifiability analysis of those models
- parametric sensitivities and uncertainty analysis
- model discrimination
- optimal experimental design of dynamic experiments
These methods will be applied to two emerging thermal processes: combined microwave-convection processing, and ohmic processing in continuous. Despite their potential, these processes present non-homogeneous zones in the electromagnetic and thermal fields which has precluded their wide adoption by the industrial sector. The adequate modelling of these processes, using the tools developed in this project, will allow their optimum design, thus surmounting the mentioned difficulties. |
