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Related Experiment Video

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Surrogate Model Development for Digital Experiments in Welding

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How does cooking time scale with size? A numerical modeling approach.

S H Lee¹, A K Datta, M A Rao

¹Dept. of Food Science, Cornell Univ., Ithaca, NY 14850, USA.

Journal of Food Science

|November 13, 2007

Summary

This summary is machine-generated.

A new model predicts how food

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Area of Science:

Food science and engineering
Materials science
Mathematical modeling

Background:

Understanding changes in food's mechanical properties during cooking is crucial for process control.
Existing models often simplify spatial variations in material properties.
Cooking automation requires accurate prediction of material property evolution.

Purpose of the Study:

To develop a thermokinetic model for predicting spatially distributed mechanical properties in solid foods during cooking.
To analyze the impact of spatial property variations on effective material properties and cooking times.
To assess the utility of volume-averaged properties as a substitute for effective properties.

Main Methods:

Combined a numerical conduction heat transfer model with reaction kinetics for property changes.
Performed linear elastic stress analysis on spatially distributed mechanical properties.
Investigated potato as a model food system.

Main Results:

Significant spatial variation in mechanical properties (Young's modulus, texture) was observed in potato.
Volume-averaged properties can effectively substitute for complex effective properties derived from stress analysis.
Cooking time scaling with size is less sensitive to variations in Young's modulus than temperature.
Lower activation energy in property change kinetics reduces cooking time dependency on size.

Conclusions:

The developed thermokinetic model accurately predicts spatial mechanical property changes during cooking.
Volume-averaged properties offer a practical approach for estimating effective material properties.
Findings provide guidelines for optimizing and automating cooking processes based on food size and kinetic parameters.