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Effect of magnetic field on the thermal conductivity and viscosity of magnetic manganese Oxide/Ethylene glycol Nanofluids: An experimental and ANFIS approach

Journal of Magnetism and Magnetic Materials, ISSN: 0304-8853, Vol: 588, Page: 171386
2023
  • 5
    Citations
  • 0
    Usage
  • 10
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    5
    • Citation Indexes
      5
  • Captures
    10
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

New Nanofluids Findings from United Arab Emirates University Reported (Effect of Magnetic Field On the Thermal Conductivity and Viscosity of Magnetic Manganese Oxide/ethylene Glycol Nanofluids: an Experimental and Anfis Approach)

2024 JAN 02 (NewsRx) -- By a News Reporter-Staff News Editor at Middle East Daily -- Researchers detail new data in Nanotechnology - Nanofluids. According

Article Description

The magnetic manganese oxide (Mn 3 O 4 ) nanowires were prepared by using solvothermal method and characterized by using X-ray diffraction, X-ray photoelectron spectroscopy and vibrating sample magnetometer techniques. The stable Mn 3 O 4 /ethylene glycol nanofluids were prepared in the particle volume loadings ranging from 0 % to 1.25 %. The thermal conductivity and viscosity were measured in the temperatures ranging from 20 °C to 60 °C and in the magnetic field ranging from 0 to 2350 Gauss. An adaptive neuro-fuzzy inference system (ANFIS) algorithm was used to correlate the measured thermal conductivity and viscosity values. Experiments were shown that at ϕ  = 1.25 % vol. of nanofluid, the thermal conductivity is enhanced by 18.8 % at 60 °C; moreover, the viscosity of ϕ  = 1.25 % vol. of nanofluid is raised by 89.4 % at 20 °C, compared to base fluid. Further results showed that, nanofluid at ϕ  = 1.25 % with magnetic field of 1150 Gauss, and at 60 °C the thermal conductivity is enhanced by 52.4 %; however, nanofluid at ϕ  = 1.25 % with magnetic field of 1450 Gauss, and at 20 °C, the viscosity is enhanced by 207 % against the same nanofluid without magnetic field. The used algorithm was successfully predicted the target data with a root mean square error of 0.0013744 and 0.311183 for thermal conductivity and viscosity data.

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