This paper aims to propose a new nonlinear function estimation fuzzy system as a novel statistical approach to estimate nanofluids’ thermal conductivity.
A fuzzy system having a product inference engine, a singleton fuzzifier, a center average defuzzifier and Gaussian membership functions is proposed for this purpose.
Results indicate that the proposed fuzzy system can predict the thermal conductivity of Al2O3/paraffin nanofluid with appropriate precision and generalization and it also outperforms the classic interpolation methods.
A new nonlinear function estimation fuzzy system was introduced as a novel statistical approach to estimate nanofluids’ thermal conductivity for the first time.
This research is partially supported by NSFC (51709244), Research Project of Central Universities (201941008) and Taishan Scholar (tsqn201812025).
Tian, Z., Bagherzadeh, S.A., Ghani, K., Karimipour, A., Abdollahi, A., Bahrami, M. and Safaei, M.R. (2020), "Nonlinear function estimation fuzzy system (NFEFS) as a novel statistical approach to estimate nanofluids’ thermal conductivity according to empirical data", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 30 No. 6, pp. 3267-3281. https://doi.org/10.1108/HFF-12-2018-0768
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