Semi-Analytic Modeling of Freezing Times for Foods

Gavin Paiva and Leo Olcott
Department of Civil-Mechanical Engineering
University of Missouri-Kansas City
Advisors: Dr. Bryan R. Becker and Dr. Brian A. Fricke

Abstract
This paper presents an overview of food freezing time prediction methods. Based on the findings of this review, a user-friendly computer program was written to calculate the freezing times of foods based on a food item’s dimensions, overall shape, and thermal properties, as well as the surrounding environmental conditions. The computer program incorporates four distinct, user-selectable algorithms for calculating freezing times of regular geometries, which account for pre-cooling, phase change, and sub-cooling in single-step procedures. An algorithm was also developed to account for irregular geometries by using shape factors in a two-step procedure. This paper will discuss the models used and the applications accuracy in engineering applications.


Gavin Paiva is a resident of the Kansas City metro area and is a senior in Mechanical Engineering at the University of Missouri - Kansas City. With minors in Chemistry and Physics, he hopes to be able to use his broad scientific background to work in R&D. Leo Olcott was born and raised in Kansas City, Missouri, and is a senior in Mechanical Engineering at the University of Missouri - Kansas City. Leo hopes to one day head his own mechanical engineering firm.
Go to the MOSGC home page
Learn more about the MOSGC
Learn about Space Grant Student Opportunities
Current and Recent Programs and Projects
Student Projects and Achievements
MOSGC Student Reports and Abstracts
Relevant Links
News Headlines
MOSGC Alumni Contact Page
Consortium Contact Information
index_19