Investigation of the thermal characteristics of water-based hybrid and mono nanofluids containing cerium oxide-CuO-MWCNT nanoparticles at various temperatures and volume fraction of nanoparticles and propose a new relationship

被引:1
作者
Hashempour, Sajjad [1 ]
Toghraie, Davood [1 ]
Fazilati, Mohammad Ali [1 ]
机构
[1] Islamic Azad Univ, Dept Mech Engn, Khomeinishahr Branch, Khomeinishahr, Iran
来源
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T | 2023年 / 26卷
关键词
Thermal conductivity; Hybrid nanoparticles; MWCNT; CuO; Cerium oxide; Lu-Lin model; CONDUCTIVITY; VISCOSITY;
D O I
10.1016/j.jmrt.2023.07.224
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this study, the preparation of nanofluid (NF) is performed by the two-stage method by dispersing nanoparticles (NP) into the base fluid (BF). Hybrid nanofluids (HNFs) were pre-pared in the solid volume fractions (SVFs) of SVF = 0.1, 0.2, 0.3, 0.4 and 0.5% and mono nanofluids (MNFs) were made in SVF = 0.1 and 0.3%. After ensuring stability, the thermal conductivity (TC) of HNFs and MNFs is measured by the hot wire method at a temperature range of T = 20-60 & DEG;C. The results indicate that the TC (For HNFs and MNFs) increases as the temperature increases. Increasing the SVF also increases TC, which is more evident in the higher SVFs. According to the obtained results, the highest increase in the TC is related to the MWCNT-CuO-cerium oxide/water HNF in SVF = 0.5% and T = 60 & DEG;C, which is a 26.7% increase compared to BF. In SVF = 0.3%, the MNFs containing MWCNTs NPs have a better performance than the HNFs. Compared to the results with the relationship of Lu-Lin, it was found that the temperature is critical in increasing the TC. There are no temperature pa-rameters in the Lu-Lin model, therefore there is a difference between the laboratory results and the Lu-Lin model results. Finally, based on experimental data, a mathematical rela-tionship between temperature and SVF was proposed to predict the TC for HNF water/ cerium oxide-CuO-MWCNT. Comparing the experimental data to the outputs of the pro-posed relationship shows that this relationship is accurate.& COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:1276 / 1292
页数:17
相关论文
共 50 条
  • [1] An experimental investigation of thermal conductivity and dynamic viscosity of Al2O3-ZnO-Fe3O4 ternary hybrid nanofluid and development of machine learning model
    Adun, Humphrey
    Kavaz, Doga
    Dagbasi, Mustafa
    Umar, Huzaifa
    Wole-Osho, Ifeoluwa
    [J]. POWDER TECHNOLOGY, 2021, 394 : 1121 - 1140
  • [2] Deep image retrieval using artificial neural network interpolation and indexing based on similarity measurement
    Ahmad, Faiyaz
    [J]. CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2022, 7 (02) : 200 - 218
  • [3] An Experimental Investigation on Thermal Conductivity and Viscosity of Graphene Doped CNTs/TiO2 Nanofluid
    Akhtar, A. M. Zetty
    Rahman, M. M.
    Kadirgama, K.
    Maleque, M. A.
    [J]. INTERNATIONAL JOURNAL OF AUTOMOTIVE AND MECHANICAL ENGINEERING, 2020, 17 (03) : 8224 - 8233
  • [4] Experimental Study of Thermal Conductivity and Viscosity of Water-Based MWCNT-Y2O3 Hybrid Nanofluid with Surfactant
    Al-Oran, O.
    Lezsovits, F.
    [J]. JOURNAL OF ENGINEERING THERMOPHYSICS, 2022, 31 (01) : 98 - 110
  • [5] Effects of surfactant on thermal conductivity of aqueous silica nanofluids
    Almitani, Khalid H.
    Abu-Hamdeh, Nidal H.
    Etedali, Sasan
    Abdollahi, Ali
    Goldanlou, Aysan Shahsavar
    Golmohammadzadeh, Ali
    [J]. JOURNAL OF MOLECULAR LIQUIDS, 2021, 327
  • [6] Asif MA., 2018, J RES SCI ENG TECHNO, V6, P21, DOI [10.24200/jrset.vol6iss04pp21-27, DOI 10.24200/JRSET.VOL6ISS04PP21-27]
  • [7] Bakhshkandi R., 2019, J RES SCI ENG TECHNO, V7, P1, DOI [10.24200/jrset.vol7iss4pp1-3, DOI 10.24200/JRSET.VOL7ISS4PP1-3]
  • [8] Experimental Investigation of Thermal Conductivity of Water-Based Fe3O4 Nanofluid: An Effect of Ultrasonication Time
    Barai, Divya P.
    Bhanvase, Bharat A.
    Zyla, Gawel
    [J]. NANOMATERIALS, 2022, 12 (12)
  • [9] Experimental study of thermal characteristics of ZrO2/EG nanofluid for application of heat transfer
    Barai, Rohinee M.
    Kumar, Devesh
    Wankhade, Atul, V
    Sayed, Aamir R.
    Junankar, Anup A.
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (10) : 25523 - 25531
  • [10] Novel photo-theranostic GdB6 nanoparticles for fluorescence imaging and NIR-photothermal therapy
    Chen, Yuqi
    Jiang, Mengna
    Xiong, Liwei
    Yao, Xianxian
    Fan, Mingjian
    Chen, Danyang
    Jiang, Qi
    Jin, Zhaokui
    He, Qianjun
    [J]. CHINESE CHEMICAL LETTERS, 2021, 32 (11) : 3487 - 3490