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A different look at the effect of temperature on the nanofluids thermal conductivity: focus on the experimental-based models

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Abstract

This paper takes a different look at the mathematical modeling of the effective thermal conductivity of nanofluids. Most related published experimental-based mathematical models have been analyzed statistically. The sensitivity analysis showed that in the most published models, the role of nanofluids bulk temperature may be ignored. Then, we extracted a lot of data from the models in the valid ranges of variables. The next step was performing statistical analysis of the variances and means of different datasets (data populations). The results showed that changing considerably the nanofluids temperature doesn’t affect considerably the nanofluids thermal conductivity. We introduced a comprehensive, simpler and more accurate correlation neglecting the nanofluids temperature to predict the effective thermal conductivity of nanofluids. Results indicated that the predicted values using the proposed correlation are in a good agreement with experimental data.

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Acknowledgements

We would like to express our special thanks of gratitude to Dr. Mohammad Reza Khaji, Dr. Arash Nobari and Dr. Abbas Biglar for their constructive help and comments.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Wayne State University, Detroit, USA

    Maysam Molana

  2. Department of Mechanical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran

    Ramin Ghasemiasl

  3. Department of Mechanical Engineering, Mahdishahr Branch, Islamic Azad University, Mahdishahr, Iran

    Taher Armaghani

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  1. Maysam Molana
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Molana, M., Ghasemiasl, R. & Armaghani, T. A different look at the effect of temperature on the nanofluids thermal conductivity: focus on the experimental-based models. J Therm Anal Calorim 147, 4553–4577 (2022). https://doi.org/10.1007/s10973-021-10836-w

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