The fundamentals of modelling abrasive machining using molecular dynamics

Oluwajobi, Akinjide O. and Chen, Xun (2010) The fundamentals of modelling abrasive machining using molecular dynamics. International Journal of Abrasive Technology, 3 (4). pp. 354-381. ISSN 1752-2641

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Abstract

The development of ultra-precision processes which can achieve excellent surface finish and tolerance at the nanometre level is now a critical requirement for many industrial applications. At present, it is very difficult to observe the diverse microscopic physical phenomena occurring in nanometric machining through experiments. The use of molecular dynamics (MD) simulation has proved to be an effective tool for the prediction and the analysis of these processes at the nanometre scale. The crucial task in a MD simulation is the selection of the potential function. The lack of clear understanding about the scope and the limitations of a given potential function may lead to nonsensical results. This article presents the backgrounds of popular potentials used in the modelling of materials processes and the algorithms for the solution of the equations encountered in the simulation. Current applications of MD in abrasive machining are reviewed.

Item Type:	Article
Subjects:	T Technology > TJ Mechanical engineering and machinery
Schools:	School of Computing and Engineering School of Computing and Engineering > Centre for Precision Technologies School of Computing and Engineering > Centre for Precision Technologies > Advanced Machining Technology Group School of Computing and Engineering > Diagnostic Engineering Research Centre School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group School of Computing and Engineering > High-Performance Intelligent Computing School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Related URLs:	Author
Depositing User:	Jide Oluwajobi
Date Deposited:	11 Mar 2011 09:52
Last Modified:	28 Aug 2021 11:04
URI:	http://eprints.hud.ac.uk/id/eprint/9801

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