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MOISTURE DIFFUSION PREDICTION OF SOLID WASTES DRYING IN THIN LAYER

机译:薄层中固体废物干燥的水分扩散预测

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摘要

This work presents a study of the mass transfer established during citric solid wastes drying in thin layer.Effective diffusivity was estimated based on the diffusion theory for situations when it is considered both a constant or variable parameter.In the latter case,the influence of operational conditions on the coefficient was evaluated,as well as its dependence on solid moisture content and on drying time,through the employment of neural networks,correlations proposed by literature,and quasi-stationary formulations.Simulations were evaluated by comparing predicted data to observed ones.
机译:这项工作是对柠檬酸固体废物在薄层中干燥过程中建立的传质的研究。基于扩散理论,在将其视为恒定或可变参数的情况下,估算了有效扩散率。通过使用神经网络,文献中提出的相关性和准平稳公式,评估了系数的条件,以及系数对固体水分含量和干燥时间的依赖性。通过将预测数据与观察值进行比较,对模拟进行了评估。

著录项

  • 来源
  • 会议地点 Xiamen(CN)
  • 作者单位

    Drying Center,Department of Chemical Engineering,Federal University of S(a)o Carlos Washington Luís Highway,km 235–SP/310,P.O.Box:676,ZIP Code:13565-905,S(a)o Carlos–SP,Brazil;

    Drying Center,Department of Chemical Engineering,Federal University of S(a)o Carlos Washington Luís Highway,km 235–SP/310,P.O.Box:676,ZIP Code:13565-905,S(a)o Carlos–SP,Brazil;

    Drying Center,Department of Chemical Engineering,Federal University of S(a)o Carlos Washington Luís Highway,km 235–SP/310,P.O.Box:676,ZIP Code:13565-905,S(a)o Carlos–SP,Brazil;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 空气处理;
  • 关键词

    citrus wastes; effective diffusivity; fixed bed dryer; quasi-stationary; neural networks;

    机译:柑桔废物;有效扩散;固定床干燥机;准平稳;神经网络;

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