Food Science and Technology Research
Online ISSN : 1881-3984
Print ISSN : 1344-6606
ISSN-L : 1344-6606
Original papers
Predicting Temperature during the Thermal Processing of Canned High-Viscosity Liquid Food
Noboru SAKAIJian Wen TANGChang Min LIUManabu WATANABE
著者情報
ジャーナル オープンアクセス

2004 年 10 巻 1 号 p. 79-85

詳細
抄録
This paper proposes a method for predicting the temperature in a metal can based upon the apparent viscosity of a liquid food, which was estimated from the initial temperature in the can under the condition where natural convection is taking place. In the absence of natural convection, we estimate its thermal diffusivity in a similar manner, and predict the temperature based on the estimation. We first evaluated the proposed method using water and glycerin. The viscosities estimated by this method agreed closely with the literature values. Subsequent experiments and analyses performed using four types of juice having different viscosities indicate the feasibility of predicting the temperature in the can. In addition, when we conducted experiments and observations regarding the flow of liquid using ink used as a tracer, the results agreed with the predictions whether natural convection was present or not.
著者関連情報
© 2004 by Japanese Society for Food Science and Technology

This article is licensed under a Creative Commons [Attribution-NonCommercial-ShareAlike 4.0 International] license.
https://creativecommons.org/licenses/by-nc-sa/4.0/
前の記事 次の記事
feedback
Top