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Author:

Cheng, Y. (Cheng, Y..) | Su, Z. (Su, Z..) | Liu, Z. (Liu, Z..) | Li, D. (Li, D..) | Zhang, C. (Zhang, C..) | Xu, J. (Xu, J..)

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Abstract:

As a new type of functional composite material, magnetic fluids have higher thermal conductivity than traditional fluids, and arc regarded as a new generation of heat transfer fluids, which have attracted extensive attention of domestie and foreign researchers. However, the existing theoretical calculation models for the thermal conductivity of magnetic fluids arc not universally applicable, and cannot accurately prediet the thermal conductivity of magnetic fluids at different temperaturcs. Thcrc are differences in applicable conditions and calculation results among the models. Therefore, in Order to accurately determine the thermal conductivity of magnetic fluids, this paper designs and builds an experimental System for mcasuring the thermal conductivity of magnetic fluids based on the transient double hot-wire method, with the average measurement error less than 1.55%, studies the Variation of thermal conductivity of commercial aqueous magnetic fluids with temperature under the action of different magnetic field strengths, and quantitatively analyses the applicable temperature ranges of different theoretical models. The applicable temperature ranges of different theoretical models arc quantitatively analyzed. The results show that the thermal conductivity of the water-based magnetic fluid (vol-ume fraction 3.7%) increases approximately linearly with the increase of temperature in the absence of a magnetic field. When the temperature increases from 20 °C to 70 °C, the thermal conductivity increases by 47.12%. Secondly, a significant increase in the thermal conductivity of the magnetic fluid oecurs in the presence of a magnetic field. At 20 °C and 200 G, the maximum increase in the thermal conductivity of the magnetic fluid compared to the absence of a magnetic field is 81%. Finally, the calculation results and experimental results of magnetic fluid thermal conductivity of Maxwell model, Bruggcman model, Yu &¦ Choi model and Gianluca Coccia modcl arc compared and analyzed. It is found that the theoretical model calculation aecuraey is higher in the lower temperature ränge (20 °C-35 °C), which is consistent with the experimental results. The relative error of the results is within 5 %, and the theoretical model can be directly used to prediet the thermal conductivity of the magnetic fluid. When the temperature increases O 40°C), the deviation between the theoretical calculation results and the experimental calculation results increases. At this time, the theoretical modcl is no longcr applicable, and the aecurate thermal conductivity of the magnetic liquid must be obtaincd through experimental measurement. © 2025 Journal of Functional Materials. All rights reserved.

Keyword:

experimental measurement magnetic fluid thermal conductivity theoretical model

Author Community:

  • [ 1 ] [Cheng Y.]Beijing Key Laboratory of Positive Design and Intelligent Processing Technology for High Precision Machine Tools, College of Mechanical 6- Energy Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Su Z.]Beijing Key Laboratory of Positive Design and Intelligent Processing Technology for High Precision Machine Tools, College of Mechanical 6- Energy Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Liu Z.]Beijing Key Laboratory of Positive Design and Intelligent Processing Technology for High Precision Machine Tools, College of Mechanical 6- Energy Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Liu Z.]Key Laboratory of CNC Equipment Reliability, Ministry of Education, School of Mechanical and Aerospace Engineering, Jilin University, 130012, China
  • [ 5 ] [Li D.]State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, 100084, China
  • [ 6 ] [Zhang C.]Beijing Key Laboratory of Positive Design and Intelligent Processing Technology for High Precision Machine Tools, College of Mechanical 6- Energy Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Xu J.]Beijing Key Laboratory of Positive Design and Intelligent Processing Technology for High Precision Machine Tools, College of Mechanical 6- Energy Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Functional Materials

ISSN: 1001-9731

Year: 2025

Issue: 2

Volume: 56

Page: 2032-2039

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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