Selection of the most influential parameters on vectorial crystal growth of highly oriented vertically aligned carbon nanotubes by adaptive neuro-fuzzy technique Online publication date: Tue, 29-Sep-2020
by Maryam Safa; Masoud Ahmadi; Javad Mehrmashadi; Dalibor Petkovic; Mohammad Mohammadhassani; Yousef Zandi; Yadollah Sedghi
International Journal of Hydromechatronics (IJHM), Vol. 3, No. 3, 2020
Abstract: The optimum raising conditions to synthesis the high crystallinity carbon nanotubes (CNTs) for improvement of their physical properties are presented in this study, thus, ANFIS has been used to optimise the most effectual characteristics for predicting the crystal growing of oriented vertically aligned carbon nanotubes (OVACNT) by discovering the subset of input characteristics' whole set. ANFIS has also been applied to delineate four characteristics as: 1) vaporising time (min); 2) annealing time (AT) (min); 3) precursor's concentration (mL); 4) deposition temperature (°C) have influenced the predicting of crystallinity of highly OVACNTs. The outcomes have shown that precursor's concentration has the highest influence to the crystallinity of OVACNTs predicting with higher accuracy.
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