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Fuzzy logic algorithm-based optimization of heat transfer and thermal conductivity behaviour of Al–Si3N4 Nano and Al–Gr–Si3N4 hybrid composite

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Abstract

The thermal behaviour of gravity die stir casted LM6 alloy with Graphite and silicon nitride nano particle is investigated in this study. Al–Gr–Si3N4 hybrid composite, Al–Si3N4 nanocomposite and Al–Gr nanocomposite were fabricated to investigate the thermal conductivity, specific heat, diffusivity and heat transfer rate. The density and porosity of the casted composites were found to check the soundness of the casted composites. The difference in porosity is around 0.1% for the nano and hybrid composite. The thermal conductivity of the nanocomposite is approximately 12% higher than hybrid composite. Heat transfer for all the composite increases with the increase in power input. The application of the fuzzy logic analysis coupled with experimental methods was developed to optimize the precision and accuracy of the Al–Gr–Si3N4 hybrid composite thermal conductivity and heat transfer rate. The developed fuzzy logic model can be used to evaluate the heat transfer produced by Al–Gr–Si3N4 hybrid composite and also with low prediction errors.

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Acknowledgements

The authors acknowledge the Nano Devices Lab, DSC lab , Heat and Mass Transfer Lab of SRM IST for conducting the experiments and Foundry cum Moulding Lab of SRM IST for testing and fabricating the composites.

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  1. Department of Mechanical Engineering, SRM Institute of Science and Technology, Chennai, 603203, India

    R. Ambigai & S. Prabhu

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  1. R. Ambigai
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Ambigai, R., Prabhu, S. Fuzzy logic algorithm-based optimization of heat transfer and thermal conductivity behaviour of Al–Si3N4 Nano and Al–Gr–Si3N4 hybrid composite. J Therm Anal Calorim 147, 4059–4071 (2022). https://doi.org/10.1007/s10973-021-10799-y

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  • DOI: https://doi.org/10.1007/s10973-021-10799-y

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