Multiscale Assessment of Nanoscale Manufacturing Process on the Freeform Copper Surface

The nanocutting has been paid great attention in ultra-precision machining and high sealing mechanical devices due to its nanometer level machining accuracy and surface quality. However, the conventional methods applicable to reproduce the cutting process numerically such as finite element (FE) and...

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Main Authors: Yafei Xu, Handing Liu, Liuyang Zhang, Matthew Becton
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/13/14/3135
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spelling doaj-3c2dac7de908465a8b41e5980dc235272020-11-25T03:10:05ZengMDPI AGMaterials1996-19442020-07-01133135313510.3390/ma13143135Multiscale Assessment of Nanoscale Manufacturing Process on the Freeform Copper SurfaceYafei Xu0Handing Liu1Liuyang Zhang2Matthew Becton3State Key Laboratory for Manufacturing Systems Engineering, Jiaotong University, Xi’an 710049, ChinaState Key Laboratory for Manufacturing Systems Engineering, Jiaotong University, Xi’an 710049, ChinaState Key Laboratory for Manufacturing Systems Engineering, Jiaotong University, Xi’an 710049, ChinaCollege of Engineering, University of Georgia, Athens, GA 30602, USAThe nanocutting has been paid great attention in ultra-precision machining and high sealing mechanical devices due to its nanometer level machining accuracy and surface quality. However, the conventional methods applicable to reproduce the cutting process numerically such as finite element (FE) and molecular dynamics (MD) are challenging to unveil the cutting machining mechanism of the nanocutting due to the limitation of the simulation scale and computational cost. Here a modified quasi-continuous method (QC) is employed to analyze the dynamic nanocutting behavior (below 10 nm) of the copper sample. After preliminary validation of the effectiveness via the wave propagation on the copper ribbon, we have assessed the effects of cutting tool parameters and back-engagement on the cutting force, stress distribution and surface metamorphic layer depth during the nanocutting process of the copper sample. The cutting force and depth of the surface metamorphic layer is susceptible to the back-engagement, and well tolerant to the cutting tool parameters such as the tool rank angle and tool rounded edge diameter. The results obtained by the QC method are comparable to those from the MD method, which indicate the effectiveness and applicability of the modified QC method in the nanocutting process. Overall, our work provides an applicable and efficient strategy to investigate the nanocutting machining mechanism of the large-scale workpiece and shed light on its applications in the super-precision and high surface quality devices.https://www.mdpi.com/1996-1944/13/14/3135multiscale simulationquasi-continuous methodnanocuttingcopper samplecutting tool parameters
collection DOAJ
language English
format Article
sources DOAJ
author Yafei Xu
Handing Liu
Liuyang Zhang
Matthew Becton
spellingShingle Yafei Xu
Handing Liu
Liuyang Zhang
Matthew Becton
Multiscale Assessment of Nanoscale Manufacturing Process on the Freeform Copper Surface
Materials
multiscale simulation
quasi-continuous method
nanocutting
copper sample
cutting tool parameters
author_facet Yafei Xu
Handing Liu
Liuyang Zhang
Matthew Becton
author_sort Yafei Xu
title Multiscale Assessment of Nanoscale Manufacturing Process on the Freeform Copper Surface
title_short Multiscale Assessment of Nanoscale Manufacturing Process on the Freeform Copper Surface
title_full Multiscale Assessment of Nanoscale Manufacturing Process on the Freeform Copper Surface
title_fullStr Multiscale Assessment of Nanoscale Manufacturing Process on the Freeform Copper Surface
title_full_unstemmed Multiscale Assessment of Nanoscale Manufacturing Process on the Freeform Copper Surface
title_sort multiscale assessment of nanoscale manufacturing process on the freeform copper surface
publisher MDPI AG
series Materials
issn 1996-1944
publishDate 2020-07-01
description The nanocutting has been paid great attention in ultra-precision machining and high sealing mechanical devices due to its nanometer level machining accuracy and surface quality. However, the conventional methods applicable to reproduce the cutting process numerically such as finite element (FE) and molecular dynamics (MD) are challenging to unveil the cutting machining mechanism of the nanocutting due to the limitation of the simulation scale and computational cost. Here a modified quasi-continuous method (QC) is employed to analyze the dynamic nanocutting behavior (below 10 nm) of the copper sample. After preliminary validation of the effectiveness via the wave propagation on the copper ribbon, we have assessed the effects of cutting tool parameters and back-engagement on the cutting force, stress distribution and surface metamorphic layer depth during the nanocutting process of the copper sample. The cutting force and depth of the surface metamorphic layer is susceptible to the back-engagement, and well tolerant to the cutting tool parameters such as the tool rank angle and tool rounded edge diameter. The results obtained by the QC method are comparable to those from the MD method, which indicate the effectiveness and applicability of the modified QC method in the nanocutting process. Overall, our work provides an applicable and efficient strategy to investigate the nanocutting machining mechanism of the large-scale workpiece and shed light on its applications in the super-precision and high surface quality devices.
topic multiscale simulation
quasi-continuous method
nanocutting
copper sample
cutting tool parameters
url https://www.mdpi.com/1996-1944/13/14/3135
work_keys_str_mv AT yafeixu multiscaleassessmentofnanoscalemanufacturingprocessonthefreeformcoppersurface
AT handingliu multiscaleassessmentofnanoscalemanufacturingprocessonthefreeformcoppersurface
AT liuyangzhang multiscaleassessmentofnanoscalemanufacturingprocessonthefreeformcoppersurface
AT matthewbecton multiscaleassessmentofnanoscalemanufacturingprocessonthefreeformcoppersurface
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