Examining the experimental data of thermal conductivity of Water based ternary nanofluid with response surface method and knowledge management

Articles in Press

Document Type : Mechanics article

Authors

1 Associate Professor, Faculty of Civil Engineering, Water and Energy, Imam Hossein University , Tehran, Iran

2 Master's student, Department of Energy Conversion, Faculty of Civil Engineering, Water and Energy, Imam Hossein University, Tehran, Iran

3 Knowledge Management Department, Imam Hossein University, Tehran, Iran

Abstract

This study investigated the effect of temperature and solid volume fraction factors on the relative thermal conductivity of three-component nanofluid MWCNTs(20%)-MgO(70%)-Al2O3(10%)/Water. The experiment was conducted in the temperature range of 30-50℃, with eight different solid volume fractions ranging from 0.035% to 2.25%. The Hot Wire Transient Method using a KD2-Pro device was employed for measurement purposes. Results showed a noticeable increase in the thermal conductivity with increasing temperature and solid volume fraction in the maximum condition (50°C and φ=2.25). The measured value indicated a 31.7% enhancement compared to the base fluid. The experimental data was also analyzed using the Response Surface Method, which confirmed the accuracy of the experimental results and provided a comprehensive third-degree correlation. Furthermore, sensitivity analysis and examination of the margin of error of the created thermophysical model demonstrated its validity, as the margin of error was reported to be within the range of -1.65<MOD<0.98. Lastly sensitivity analysis showed that the minimum effect is in low volume fractions, and with the increase of the volume fraction, the sensitivity has an increasing trend At the end of the research process, in a new work, using the Nonaka science creation method in the science of knowledge management under the four sections of socialization, externalization, combination and internalization of knowledge, the process of producing and documenting the obtained scientific findings was examined and reported.

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Main Subjects

Journal of Modeling in Engineering

Articles in Press, Accepted Manuscript
Available Online from 05 October 2025

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History

  • Receive Date: 11 December 2023
  • Revise Date: 30 July 2025
  • Accept Date: 30 August 2025

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