Optimization of process parameters for carbon nanotubes synthesis using Green precursors

Abstract

It is necessary to optimize the process parameters for multi-walled carbon nanotubes (MWCNTs) synthesis to get better yield. This needs to be done for each precursor type used for the synthesis of MWCNTs. To achieve the twin objective of physical optimization of the process parameters for better yield for each precursor type poses almost an impossible task because of time and cost involved in the process. However, statistical technique such as Taguchi robust method is expected to be an efficient and effective tool to do this. The process needs to be optimized for each of the precursors selected for MWCNT synthesis for higher yield and acceptable relative quality conforming to requirement of applications. In the present work, a few parameters such as temperature, catalyst and flow rate that influence the yield and quality of MWCNT synthesized from three green precursors viz. Azadirachta indica, Sesamum indica and Mesua ferrea essential oil have been identified.

Keywords

• Carbon nanotube
• MWCNT
• Essential oil
• Green precursors
• Taguchi