Accurate prediction of heat penetration of a surimi paste with various salt and moisture contents using numerical simulation with temperature dependent thermal property functions

Hyeon Woo Park, Myeong Gi Lee, Jae W. Park, Won Byong Yoon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Alaska pollock surimi paste was prepared (0-3% salt and 76-84% moisture). The density, specific heat, and thermal conductivity have been measured and modelled in the temperature range 20-90°C. The density of AP surimi paste were represented by a multiple linear regression with respect to temperature, moisture and salt content with suitable R2 value (0.92). The temperature and moisture and salt content dependence of a specific heat and thermal conductivity of surimi paste was well fitted with a multiple linear regression model with R2 value of 0.97 and .087 respectively. The heat penetration curves measured during heating (25 to 90 °C) were compared with the transient temperature profile obtained from simulation models coupled with empirical thermal properties having suitable RMSE (0.43 to 1.22 ° C). This study demonstrated that an accurate prediction of the heat transfer of the surimi paste needs tobe coupled with the nonlinear thermal property functions. Keywords: Alaska Pollock, surimi, thermal property, numerical simulation.

Original languageEnglish
Title of host publicationInternational Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017
PublisherCAL-TEK S.r.l.
Pages25-34
Number of pages10
ISBN (Electronic)9781510847668
Publication statusPublished - 2017 Jan 1
Externally publishedYes
Event3rd International Food Operations and Processing Simulation Workshop, FoodOPS 2017 - Barcelona, Spain
Duration: 2017 Sep 182017 Sep 20

Other

Other3rd International Food Operations and Processing Simulation Workshop, FoodOPS 2017
CountrySpain
CityBarcelona
Period17/9/1817/9/20

ASJC Scopus subject areas

  • Food Science
  • Biotechnology

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    Park, H. W., Lee, M. G., Park, J. W., & Yoon, W. B. (2017). Accurate prediction of heat penetration of a surimi paste with various salt and moisture contents using numerical simulation with temperature dependent thermal property functions. In International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017 (pp. 25-34). CAL-TEK S.r.l..