Yadav, Rahul, Sharma, Anuj, Kulasegaram, Sivakumar ![]() ![]() ![]() ![]() |
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Abstract
This study explores the modelling methodology using mesh-free smoothed particle hydrodynamics (SPH) and finite element modelling (FE) techniques to simulate the AFM-based nano-scratching processes for advancing precision engineering in nanotechnology. Tip wear in nano machining substantially increases the tip radius, thereby influencing the material removal mechanism and subsequently affecting the quality of machined nanostructures. In this context, this study examines the effects of rake angle (the inclination of the main cutting edge to the plane perpendicular to the scratched surface), tip radius and scratching depth on cutting forces, groove dimensions, and deformed thickness. This was achieved by implementing an in-house SPH method based particle code employing a Lagrangian algorithm, and an FE model incorporating the dynamic explicit algorithm implemented (in ABAQUS) to carry out nano-scratching simulations. The investigation revealed that the cutting mechanism transitioned to ploughing when the scratching depth decreased to 30% of the tip radius for OFHC-Cu workpiece material machined with a diamond tip. The dominance of normal forces over cutting forces during scratching indicated the side flow of material in the vicinity of the tip radius under intense contact pressure. The ploughing mechanism exhibited more sensitivity at a higher negative rake angle of 60°. Increased scratching depth and tip radius led to more significant material deformation owing to the induction of higher cutting forces, with the maximum deformation thickness 3.6 times the tip radius. The simulated results demonstrated favourable concordance with the experimental data.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Engineering Physics and Astronomy |
Publisher: | Elsevier |
ISSN: | 0020-7683 |
Funders: | EPSRC |
Date of First Compliant Deposit: | 29 May 2024 |
Date of Acceptance: | 20 May 2024 |
Last Modified: | 19 Jun 2024 15:10 |
URI: | https://orca.cardiff.ac.uk/id/eprint/169263 |
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