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.
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