作者: Ahmad Mukhtar , Sidra Saqib , Fatma Safdar , Ayesha Hameed , Sikander Rafiq
DOI: 10.1016/J.ICHEATMASSTRANSFER.2019.104402
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摘要: Abstract Despite the significant potential of nanofluids in energy storage applications, experimental determination thermophysical properties is relatively costly and time-consuming. Therefore, modeling techniques can be used for accurate estimation thermo-physical behavior. The predictive models are useful understanding Due to restrictions on classical models, there a need develop more reliable simulate behavior nanofluids. This paper deals with synthesis thermal conductivity measurement multi-walled carbon nanotubes (MWCNTs)-Kapok seed oil nanofluid. Additionally, two new correlations based multiple non-linear regression analysis along well as dimensionless proposed estimate high precision compared models. Based statistical analysis, prediction accuracy model was ranked. Finally, sensitivity has been carried out combination residual assure parameters both adequacy estimated values parameters, respectively. results revealed global minimum all at 0% perturbations indicating that were adequacy.