TY  - JOUR
T1  - Optimization of Electrical Parameters for Production of Carbon Nanotubes in Arc Discharge Technique
AU - Singh, Kalyan Kumar AU - Chattopadhyay, Sayantan 
JO  - Journal of Engineering and Applied Sciences
VL  - 7
IS  - 5
SP  - 379
EP  - 382
PY  - 2012
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2012.379.382
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2012.379.382
KW  - Coal
KW  -carbon nanotubes
KW  -SWCNT
KW  -simplex
KW  -optimisation
KW  -India
AB  - Through extensive research for &gt;2 decades on the production 
  of Carbon Nanotubes (CNT) and optimization of its manufacture for the industrial 
  applications, it is believed that they are the strong enough but most flexible 
  materials known to humankind. It is known that carbon nanotubes could behave 
  as the ultimate 1-dimensional material with remarkable mechanical properties. 
  Moreover, carbon nanotubes exhibit strong electrical and thermal conducting 
  properties. In the process of optimizing the production in line with the industrial 
  application, the researchers have found a new material to act as an anode, i.e., 
  coal which is inexpensive as compared to graphite. The production of carbon 
  nanotubes in large quantities is possible with inexpensive coal as the starting 
  carbon source by the Arc Discharge Technique. It is found that a large amount 
  of carbon nanotubes of good quality can be obtained in the cathode deposits 
  in which carbon nanotubes are present in nest-like bundles. This study primarily 
  concentrates on the optimising such parameters related to the mass production 
  of the product. It has been reviewed by the past researchers that through the 
  process optimization, one of the main variables had been the electrical parameters. 
  It has been shown in this study, through simplex process that based on the cost 
  of the SWNT obtained by the Arc Discharge Technique, the voltage and the current 
  should lie in the range of 30-42 V and 49-66 A, respectively. Any combination 
  above the given values will lead to a power consumption cost beyond the final 
  product cost in turn leading to infeasibility of the process.
ER  - 