Search:
Computing and Library Services - delivering an inspiring information environment

Modelling abrasive machining techniques using molecular dynamics

Oluwajobi, Akinjide O. and Chen, Xun (2008) Modelling abrasive machining techniques using molecular dynamics. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2008: CEARC’08. University of Huddersfield, Huddersfield, pp. 100-105. ISBN 978-1-86218-067-3

[img] PDF - Published Version
Download (175kB)

Abstract

The development of ultra–precision processes which can achieve nanometre surface finishes and tolerances is now a critical requirement for many applications in medical, electronics and energy industry. Presently, it is very difficult to observe the diverse microscopic physical phenomena occurring in nanometric machining through experiments. The use 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 complexity and the cost of experimental investigation have made this approach even more suitable as simulation results sometimes point interesting directions for experimentation. A review of the MD was undertaken, as this method can improve our understanding of nanometric processes and subsequently minimize experimental efforts.

Item Type: Book Chapter
Uncontrolled Keywords: abrasive machining, molecular dynamics, modelling
Subjects: T Technology > T Technology (General)
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 > Computing and Engineering Annual Researchers' Conference (CEARC)
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:
Depositing User: Graham Stone
Date Deposited: 19 Mar 2009 16:52
Last Modified: 22 Aug 2015 06:14
URI: http://eprints.hud.ac.uk/id/eprint/3688

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©