Mehdi Shanbedi - Chemical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Sajjad Rashidi - Chemical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Ahmad Amiri - Chemical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Saeed Zeinali Heris - Chemical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

Here, first a two-phase closed thermosyphon (TPCT) was designed and then two samples of multi-walled carbon nanotube (MWCNT) and MWCNT functionalized with Ag were synthesized. To obtain experimental data, the effect of various samples synthesized on thermal efficiency and resistance was studied. Then, to expand experimental data and predict optimal conditions, modeling was performed by Adaptive Neuro-Fuzzy Inference System (ANFIS). Experimental and predicted data were compared to inspect the accuracy of the model. Validation of ANFIS results were confirmed by five arithmetical criterions (R2, MSE, MAE, ARE and AARE). As more consideration, three-dimensional diagrams of the model were drawn to realize optimal range of concentration and input power as well as the type of nanofluid.

ANFIS, Nanofluid, Two-Phase Closed Thermosyphon (TPCT), Multi-Walled Carbon nanotube (MWCNT), Functionalization