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Cutting Speed in Nano-Cutting as MD Modelling Parameter

Cutting Speed in Nano-Cutting as MD Modelling Parameter

Nikolaos E. Karkalos, Angelos P. Markopoulos, Dimitrios E. Manolakos
Copyright: © 2016 |Volume: 6 |Issue: 1 |Pages: 13
ISSN: 2156-1680|EISSN: 2156-1672|EISBN13: 9781466692701|DOI: 10.4018/IJMMME.2016010101
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MLA

Karkalos, Nikolaos E., et al. "Cutting Speed in Nano-Cutting as MD Modelling Parameter." IJMMME vol.6, no.1 2016: pp.1-13. http://doi.org/10.4018/IJMMME.2016010101

APA

Karkalos, N. E., Markopoulos, A. P., & Manolakos, D. E. (2016). Cutting Speed in Nano-Cutting as MD Modelling Parameter. International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME), 6(1), 1-13. http://doi.org/10.4018/IJMMME.2016010101

Chicago

Karkalos, Nikolaos E., Angelos P. Markopoulos, and Dimitrios E. Manolakos. "Cutting Speed in Nano-Cutting as MD Modelling Parameter," International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME) 6, no.1: 1-13. http://doi.org/10.4018/IJMMME.2016010101

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Abstract

In order to manufacture parts with dimensions of nanometres, high–technology equipment is required. There is a demand to study nano-metric cutting mechanisms and phenomena appearing in this level. However, experiments are difficult to be realized, so computational methods are employed. Nano-scale cutting involves workpiece deformation in only a few atomic layers from the workpiece surface; at this scale the continuum theory cannot be used, so methods like finite elements are not sufficient. Molecular Dynamics is a method increasingly used for the simulation of nano-cutting. However, the computational cost required is quite high. In an effort to reduce the time of the analysis, high or extremely high cutting speeds are used in the models. In this paper an analysis is presented where cutting speed is studied and its influence on the chip morphology and workpiece surface is investigated, for nano-cutting modelling of Cu with diamond tools. The results indicate that cutting speed influences the outcome of the analysis and more attention should be paid to the selection of this parameter.

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