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Adaptive Neuro-Fuzzy Modeling of Mechanical Behavior for Vertically Aligned Carbon Nanotube Turfs |
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| Authors: | Mohammad Al-Khedher Charles Pezeshki Jeanne McHale Fritz Knorr Mechatronics Division Al-Balqa Applied University Amman Jordan School of Mechanical Materials Engineering Washington State University Pullman WA USA |
| Affiliation: | Mohammad Al-Khedher 1),Charles Pezeshki 2),Jeanne McHale 3) and Fritz Knorr 3) 1) Mechatronics Division,Al-Balqa Applied University,Amman 11134,Jordan 2) School of Mechanical and Materials Engineering,Washington State University,Pullman,WA 99164,USA 3) Department of Chemistry,USA |
| Abstract: | Several characterization methods have been developed to investigate the mechanical and structural properties of vertically aligned carbon nanotubes (VACNTs).Establishing analytical models at nanoscale to interpret these properties is complicated due to the nonuniformity and irregularity in quality of as-grown samples.In this paper,we propose a new methodology to investigate the correlation between indentation resistance of multi-wall carbon nanotube (MWCNT) turfs,Raman spectra and the geometrical properties... |
| Keywords: | Adaptive neuro-fuzzy Carbon nanotubes Image analysis Nanoindentation Raman spectroscopy |
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