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首页> 外文期刊>International Journal of Heat and Mass Transfer >Microencapsulated n-eicosane PCM suspensions: Thermophysical properties measurement and modeling
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Microencapsulated n-eicosane PCM suspensions: Thermophysical properties measurement and modeling

机译:微囊化正二十烷PCM悬浮液:热物理性质的测量和建模

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摘要

This research aims to present the preparation, characterization and thermophysical properties of water-based microencapsulatedn-eicosane PCM suspensions for thermal energy storage.n-eicosane PCMs are coated with urea–formaldehyde polymer shell. The microcapsules have been characterized by Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) analyses. The differential scanning calorimetry (DSC) is also performed for measurement of the latent heat value, melting and freezing temperatures, and specific heat of MEPCMs. Then, the thermophysical characteristics of the MEPCM suspension including the thermal conductivitykmand viscosityµmhave been measured at different particle concentration (2, 5 and 10 wt%) and different temperatures from 25 to 50 °C. New correlations are developed to predict the thermophysical characteristics of MEPCM suspensions. Furthermore, the application performance of artificial neural network for predicting ofkmandµmis evaluated, and it is found that a neural network with the optimum structure of 2-4-4-2 provides a very accurate prediction of the experimental results.
机译:这项研究旨在介绍用于热能储存的水基微囊化的n-二十烷醇PCM悬浮液的制备,表征和热物理性质。n-二十烷烃PCMs涂覆有脲醛聚合物外壳。通过傅里叶变换红外光谱(FTIR),扫描电子显微镜(SEM)和透射电子显微镜(TEM)分析对微胶囊进行了表征。还执行差示扫描量热法(DSC)来测量MEPCM的潜热值,熔化和冻结温度以及比热。然后,在不同的颗粒浓度(2、5和10 wt%)和25至50 C的不同温度下,测量了MEPCM悬浮液的热物理特性,包括热导率km和粘度µ m。开发了新的相关性以预测MEPCM悬浮液的热物理特性。此外,评估了人工神经网络在预测公里数和微米数方面的应用性能,发现具有2-4-4-2最佳结构的神经网络可以非常准确地预测实验结果。

著录项

  • 来源
  • 作者单位

    Department of Mechanical Engineering, National Cheng-Kung University;

    Department of Mechanical Engineering, National Cheng-Kung University;

    Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology,Research Center of Energy Conservation for New Generation of Residential, Commercial, and Industrial Sectors, National Taipei University of Technology;

    Mechanical and Energy Engineering Department, Shahid Beheshti University;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    MEPCM; n-Eicosane; Thermal conductivity; Viscosity; Artificial neural network;

    机译:MEPCM;正二十烷;导热系数;粘度;人工神经网络;

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