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Determination of heat transfer coefficient and correlation of dimensionless number for freezing of foods

机译:食品冷冻中传热系数的确定及无因次数的相关性

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摘要

This research work describes a study that was initiated to resolve deficiencies in heat transfer coefficient data for food freezing processes. Members of the food refrigeration industry were contacted to collect freezing curves and surface heat transfer data. A unique iterative algorithm was developed to estimate the surface heat transfer coefficients of foods based upon their freezing curves. Making use of this algorithm, heat transfer coefficients for various food items were calculated from the freezing curves collected during the industrial survey.;Nusselt number (Nu), Prandtl number (Pr) and Reynolds number (Re) were calculated for each of the various food items. Based on these calculated dimensionless parameters, correlations were obtained in the form of Nu = CPrmRen for various food items. Such information is important in the design and operation of cooling and freezing facilities and will be of immediate usefulness to engineers involved in the design and operation of such systems.
机译:这项研究工作描述了一项旨在解决食品冷冻过​​程中传热系数数据缺陷的研究。与食品冷藏行业的成员联系以收集冻结曲线和表面传热数据。开发了一种独特的迭代算法来根据食物的冻结曲线估算食物的表面传热系数。利用该算法,根据工业调查期间收集的冷冻曲线计算出各种食品的传热系数。分别计算了每种食品的努塞尔数(Nu),普朗特数(Pr)和雷诺数(Re)食品。基于这些计算出的无量纲参数,各种食品的相关性以Nu = CPrmRen的形式获得。这样的信息对于冷却和冷冻设备的设计和操作很重要,并且对于参与此类系统的设计和操作的工程师将立即有用。

著录项

  • 作者

    Bandyopadhyay, Deep.;

  • 作者单位

    University of Missouri - Kansas City.;

  • 授予单位 University of Missouri - Kansas City.;
  • 学科 Mechanical engineering.;Food science.
  • 学位 M.S.
  • 年度 2004
  • 页码 105 p.
  • 总页数 105
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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