Hydrodynamic and thermal performance prediction of functionalized MWNT-based water nanofluids under the laminar flow regime using the adaptive neuro-fuzzy inference system
作者： Maryam Savari , Sajjad Rashidi , Ahmad Amiri , Mehdi Shanbedi , Saeed Zeinali Heris
DOI: 10.1080/10407782.2016.1139974
关键词:
摘要: ABSTRACTAdaptive Neuro-Fuzzy Inference System (ANFIS) opens a new gateway in understanding the complex behaviors and phenomena for different fields such as heat transfer nanoparticles. The ANFIS method is shortcut to find nonlinear relation between input output results valid outcomes, especially engineering phenomena, which used here determining convective coefficient. Using ANFIS, critical parameters including coefficient pressure drop are determined. To realize this issue, thermophysical properties of non-covalently covalently functionalized multiwalled carbon nanotubes-based water nanofluid were investigated experimentally. simulation their comparison with experimental showed an excellent evidence on validity model, can be expanded other conditions. proposed modeling may applied optimization carbon-based nanostru...
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