Dynamic modeling of rotational motion of carbon nanotubes for intelligent manufacturing of CNT-based devices

Uchechukwu C. Wejinya, Ning Xi, Yantao Shen, King Wai Chiu Lai

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Citations (Scopus)

Abstract

Carbon nanotubes (CNTs) are good candidates for many electronics and sensing applications. These applications will require moving (deposit) and orienting carbon nanotubes to specific location, and separating CNTs with semiconducting and metallic band structure. In this paper, a new mathematical model describing precisely the rotational motion of carbon nanotubes in viscous medium (acetone) is presented. This new mathematical model correctly assumes that carbon nanotubes form a line shape after undergoing AC electric field compare to existing model that assumes carbon nanotubes to be a spherical particle. The new mathematical model is based on a newly developed model for applied torque due to electrorotation. It is also a method for controlled assembly of the CNTs on microstructures that have the plausibility to be scaled to wafer-level manufacturing. Simulation results are presented for the developed models. The developed model can be used to detect the position of carbon nanotubes and further implemented in the separation of semiconducting and metallic band structure carbon nanotubes. ©2007 IEEE.
Original languageEnglish
Title of host publicationIEEE International Conference on Intelligent Robots and Systems
Pages279-284
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007 - San Diego, CA, United States
Duration: 29 Oct 20072 Nov 2007

Conference

Conference2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007
PlaceUnited States
CitySan Diego, CA
Period29/10/072/11/07

Fingerprint

Dive into the research topics of 'Dynamic modeling of rotational motion of carbon nanotubes for intelligent manufacturing of CNT-based devices'. Together they form a unique fingerprint.

Cite this