| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Luo, Xichun
University of Strathclyde
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2022Challenges and issues in continuum modelling of tribology, wear, cutting and other processes involving high-strain rate plastic deformation of metalscitations
- 2022Challenges and issues in continuum modelling of tribology, wear, cutting and other processes involving high-strain rate plastic deformation of metalscitations
- 2017A full factorial numerical investigation and validation of precision end milling process for hardened tool steel
- 2014A theoretical assessment of surface defect machining and hot machining of nanocrystalline silicon carbidecitations
- 2014Enabling ultra high precision on hard steels using surface defect machining
- 2012Replacing diamond cutting tools with CBN for efficient nanometric cutting of siliconcitations
- 2012Molecular dynamics simulation model for the quantitative assessment of tool wear during single point diamond turning of cubic silicon carbidecitations
- 2012Molecular dynamics simulation model for the quantitative assessment of tool wear during single point diamond turning of cubic silicon carbidecitations
- 2011Atomistic aspects of ductile responses of cubic silicon carbide during nanometric cutting
- 2011Atomistic aspects of ductile responses of cubic silicon carbide during nanometric cuttingcitations
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document
A full factorial numerical investigation and validation of precision end milling process for hardened tool steel
Abstract
Tool steel materials have poor machinability, as the high hardness of the material will cause high cutting forces, premature failure of the cutting tools, and is also associated with machining induced tensile stresses within the work piece. Due to high experimental costs, there is no recent research on end milling tool steel, using full factorial experimental or numerical design. A 3D FE-model of a precision end milling process with a two flute ball nose cutter were established in this paper. The FE-Model used a subroutine to model hardening realised through the Johnson-Cook model, additionally were a material removal criteria developed and implemented. Through full factorial numerical simulations the influence of cutting parameters on cutting force of H13 tool steel was studied. Depth of cut was found to be the most influential machining parameter on cutting forces followed by feed rate and surface speed. Four milling experiments were carried out to validate the simulation results. It was found that the simulation and the experiments had a good agreement on the cutting forces. The validated FEA model can be used for further studies on residual stress or temperatures and to optimise the cutting process.