Quick search Find article
Quick search
Find article

Statistical characterization of single-wall carbon nanotube length distribution

Shiren Wang, Zhiyong Liang, Ben Wang and Chuck Zhang

Show affiliations


This paper describes an effective method for quantifying the length and length distribution of large populations of single-wall carbon nanotubes using atomic force microscopy and SIMAGIS software. The results of the measurements were modelled with the Weibull distribution, resulting in a statistically confirmed fit. The fitted Weibull distribution was used to predict the length effect factor and elastic modulus as functions of nanotube properties in composite materials. The prediction shows that the length factor for the elastic modulus tends to increase with enhanced loading but decrease with rising rope diameter. The statistical characterization presented indicates a pathway for the future theoretical modelling and related experimental investigation of carbon nanotube application.


PACS

61.46.Fg Nanotubes

02.50.Cw Probability theory

02.60.Ed Interpolation; curve fitting

62.25.-g Mechanical properties of nanoscale systems

Subjects

Computational physics

Nanoscale science and low-D systems

Dates

Issue 3 (14 February 2006)

Received 10 October 2005

Published 6 January 2006



View by subject




Export








Please login to access our web services, or create an account if you don't yet have one.

You must have cookies enabled in your web browser to be able to login.

Username
Password

Forgotten your password? Get a new one here.