Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Predictive modelling of thermal properties of foods

      Carson, James K.
      Link
       www.novapublishers.com
      Find in your library  
      Citation
      Export citation
      Carson, J.K. (2011). Predictive modelling of thermal properties of foods. In M.A. Comeau (Eds.), New Topics in Food Engineering (pp. 261-278). Nova Science Publishers, Inc.
      Permanent Research Commons link: https://hdl.handle.net/10289/5543
      Abstract
      Thermal properties of foods are vital inputs for many food process models. With the recent advances in mathematical modelling and significant reduction in the cost of computational power, uncertainties in model inputs are more and more becoming the limiting factor in model accuracy rather than the model formulation or solution process. In this chapter methods and models are presented for predicting thermal properties based solely on data for the composition of the food in terms of its basic components (liquid water, ice, protein, fat, carbohydrate, ash and air). This type of model provides genuine predictions of thermal properties since no thermal property measurements are required, as is necessary with some effective property models that may be found in the literature. Foods are divided into different classes, depending on the difficulties they pose for thermal properties prediction. Simple guidelines for thermal property prediction are presented along with worked examples to serve as illustrations.
      Date
      2011
      Type
      Chapter in Book
      Publisher
      Nova Science Publishers, Inc.
      Collections
      • Science and Engineering Papers [3122]
      Show full item record  

      Usage

       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement