• 文献标题:   Assessment of Thermophysical Properties of Hybrid Nanoparticles [Graphene Nanoplatelets (GNPs) and Cellulose Nanocrystal (CNC)] in a Base Fluid for Heat Transfer Applications
  • 文献类型:   Article
  • 作  者:   SANDHYA M, RAMASAMY D, KADIRGAMA K, HARUN WSW, SAIDUR R
  • 作者关键词:   crystal nanocellulose, graphene nanoplatelet, hybrid, thermal conductivity, viscosity
  • 出版物名称:   INTERNATIONAL JOURNAL OF THERMOPHYSICS
  • ISSN:   0195-928X EI 1572-9567
  • 通讯作者地址:  
  • 被引频次:   2
  • DOI:   10.1007/s10765-023-03162-w
  • 出版年:   2023

▎ 摘  要

This article comprehensively investigates single (GNP) and hybrid nanofluids (GNPs/CNC nanoparticles), including nanofluid preparation and thermophysical properties. Nanoparticles were characterized using field emission scanning electron microscope, transmission electron microscope and X-ray diffraction analysis. A two-step approach is used in nanofluid preparation, and various analytical practices determine the prepared nanofluids. The range of the temperature set to measure the thermal conductivity of nanofluids is 20 degrees C to 50 degrees C using the ASTM D2717-95 norm. The present study range of the nanofluid volume concentration is from 0.01 vol% to 0.2 vol%. For the single GNP nanofluid, temperatures at room level indicated the thermal conductivity value in the range of 0.366 W center dot m(-1)center dot K-1 to 0.441 W center dot m(-1)center dot K-1; for hybrid nanofluid, the thermal conductivity values are 0.501 W center dot m(-1)center dot K-1 to 0.551 W center dot m(-1)center dot K-1. In addition, nanofluid's viscosity, density and specific heat capacity are the experimental density value increased with the concentration of nanoparticles with 1050 kg/m(3) and 1060 kg/m(3) for 0.01 % concentration of single/hybrid nanofluids, respectively. Finally, based on the findings, it can be determined that the thermal properties of the selected nanoparticles are beneficial, and hybrid nanofluid is an acceptable alternative to conventional/water-based fluids in terms of thermal properties in operational systems.