Prediction of Heating Temperature of Jangjorim Food by Using Finite Element Method and Response Surface Methodology

유한요소분석법과 반응표면분석법을 이용한 장조림 식품의 가열온도 예측

  • Published : 2004.03.01

Abstract

This Study was conducted to predict temperature profile of Jangjorim (boiled beef in soy sauce) food during retorting using the commercial NISA (Numerical Integrated Elements for System Analysis) program. NISA program is a good tool to simulate the temperature profile of a specific material based upon the finite element method. The cold point of Jangjorim food located not at the geometrical center but at 26.9 mm backward in y plane because specific heat of soy sauce was 20% higher than that of boiled beef. The effects of heat transfer coefficients on heat transfer during retorting process of Jangjorim were analyzed by response surface methodology (RSM). Independent variables were thermal conductivity of soy sauce, thermal conductivity of boiled beef, and convection heat transfer coefficient and dependent variables were temperature error and lethality error. Thermal conductivity of soy sauce was the most significant contributor among those (P<0.01).

간장으로 채워진 실린더 형태의 장조림 제품의 가열살균 시 온도변화를 유한요소분석법(finite element method)을 이용하여 예측하기 위하여 상업적 NISA (Numerical Integrated Elements for System Analysis, EMRC, USA)프로그램을 이용하여 실시하였다. 장조림 식품에서의 열전달은 냉점이 기하학적 중심에 위치하지 않고 y축으로 26.9 mm 뒤쪽에 위치하였다. 이는 간장소스의 비열이 장조림보다 20% 이상 큰 값이기 때문으로, 사용된 재료의 열전달계수에 의해서 냉점의 위치가 다르게 나타났다. 장조림 식품의 가열살균 시 열전달계수의 영향을 검토하기 위하여 온도와 치사율 오차를 종속변수로 하여 간장소스의 열전도계수, 장조림의 열전도계수, 열전달계수를 독립변수로 한 반응표면분석법을 행한 결과 장조림의 열전도계수가 p<0.01로 매우 높은 상관관계를 보이며, 치사율 오차를 최소로 하는 최적화값을 얻을 수 있었다.

Keywords

References

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