RETRACTED: Modeling Mechanical Milling Process for Synthesis of Graphite Nanoparticles and their Characterization

Himanshu Panjiar; R.P. Gakkhar; B.S.S. Daniel

doi:10.4028/www.scientific.net/AMR.922.586

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 922RETRACTED: Modeling Mechanical Milling Process for...

RETRACTED: Modeling Mechanical Milling Process for Synthesis of Graphite Nanoparticles and their Characterization

Retracted:

This paper has been retracted due to misconduct by authors' request. This paper is a first one in the case of duplicate publication.

Abstract:

RETRACTED PAPER: The synthesis of graphite nanoparticles at ambient temperature by high energy mechanical milling is modelled using ANN (Artificial Neural Network). The effect of milling time on the evolution of particle size, inclusion, microstructure and morphology were examined using XRD (X-Ray Diffraction), EDS (Energy Dispersive X-Ray Spectroscopy), SEM (Scanning Electron Microscope) and TEM (Transmission Electron Microscope). ANN was effectively used to predict the influence of milling time on particle size and to forecast the milling time for the formation of nanoparticles. XRD results of investigation revealed change in strain behaviour of graphite particles of different sizes when heat treated.

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Info:

Periodical:

Advanced Materials Research (Volume 922)

Pages:

586-591

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.922.586

Online since:

May 2014

Authors:

Himanshu Panjiar*, R.P. Gakkhar, B.S.S. Daniel

Keywords:

Artificial Neural Network (ANN), Graphite Nanoparticles, Mechanical Milling, X-Ray Diffraction (XRD)

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RIS, BibTeX

Permissions:

Creative Commons CC BY 4.0

Citation:

* - Corresponding Author

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