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

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 proceeding › Conference 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 language	English
Title of host publication	International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017
Editors	Agostino Bruzzone, Miquel Angel Piera, Giuseppe Vignali, Francesco Longo
Publisher	CAL-TEK S.r.l.
Pages	25-34
Number of pages	10
ISBN (Electronic)	9781510847668
Publication status	Published - 2017
Externally published	Yes
Event	3rd International Food Operations and Processing Simulation Workshop, FoodOPS 2017 - Barcelona, Spain Duration: 2017 Sept 18 → 2017 Sept 20

Publication series

Name	International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017

Other

Other	3rd International Food Operations and Processing Simulation Workshop, FoodOPS 2017
Country/Territory	Spain
City	Barcelona
Period	17/9/18 → 17/9/20

ASJC Scopus subject areas

Food Science
Biotechnology

Cite this

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 A. Bruzzone, M. A. Piera, G. Vignali, & F. Longo (Eds.), International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017 (pp. 25-34). (International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017). CAL-TEK S.r.l..

Accurate prediction of heat penetration of a surimi paste with various salt and moisture contents using numerical simulation with temperature dependent thermal property functions. / Park, Hyeon Woo; Lee, Myeong Gi; Park, Jae W. et al.

International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. ed. / Agostino Bruzzone; Miquel Angel Piera; Giuseppe Vignali; Francesco Longo. CAL-TEK S.r.l., 2017. p. 25-34 (International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Park, HW, Lee, MG, Park, JW & Yoon, WB 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 A Bruzzone, MA Piera, G Vignali & F Longo (eds), International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017, CAL-TEK S.r.l., pp. 25-34, 3rd International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Barcelona, Spain, 17/9/18.

Park HW, Lee MG, Park JW, Yoon WB. 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 Bruzzone A, Piera MA, Vignali G, Longo F, editors, International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. CAL-TEK S.r.l. 2017. p. 25-34. (International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017).

Park, Hyeon Woo ; Lee, Myeong Gi ; Park, Jae W. et al. / Accurate prediction of heat penetration of a surimi paste with various salt and moisture contents using numerical simulation with temperature dependent thermal property functions. International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. editor / Agostino Bruzzone ; Miquel Angel Piera ; Giuseppe Vignali ; Francesco Longo. CAL-TEK S.r.l., 2017. pp. 25-34 (International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017).

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

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.",

author = "Park, {Hyeon Woo} and Lee, {Myeong Gi} and Park, {Jae W.} and Yoon, {Won Byong}",

note = "Funding Information: This study has been worked with the support of a research grant of Kangwon National University in 2016.; 3rd International Food Operations and Processing Simulation Workshop, FoodOPS 2017 ; Conference date: 18-09-2017 Through 20-09-2017",

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N1 - Funding Information: This study has been worked with the support of a research grant of Kangwon National University in 2016.

PY - 2017

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N2 - 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.

AB - 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.

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

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