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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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Gu, Y.
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Publications (10/10 displayed)
- 2024Molecular basis of transport of surface functionalised gold nanoparticles to pulmonary surfactantcitations
- 2022Indentation plastometry of weldscitations
- 2021High-dose ion irradiation damage in Fe28Ni28Mn26Cr18 characterised by TEM and depth-sensing nanoindentationcitations
- 2018Metasurfaces atop metamaterials: surface morphology induces linear dichroism in gyroid optical metamaterialscitations
- 2017Effects of machining abuse on the surface properties of AISI 316L stainless steelcitations
- 2017Effects of machining abuse on the surface properties of AISI 316L stainless steelcitations
- 2017Effect of intermetallic particles and grain boundaries on short fatigue crack growth behaviour in a cast Al-4Cu-3Ni-0.7Si piston alloycitations
- 2016The stability of the M2 phase of vanadium dioxide induced by coherent epitaxial straincitations
- 2016Gyroid Optical Metamaterials: Calculating the Effective Permittivity of Multidomain Samples
- 2016Stability of the M2 phase of vanadium dioxide induced by coherent epitaxial strain
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article
Effects of machining abuse on the surface properties of AISI 316L stainless steel
Abstract
<p>A Design of Experiments (DoE) approach was used to characterise the effects of dry machining at abusive conditions on the austenitic stainless steel AISI 316L. Surface roughness, hardness, martensite fraction, residual stresses and surface defects (welded chips, cracks) were evaluated against the cutting parameters (speed, depth-of-cut and feed) to build a model weighting their contribution. Results are presented in colour contour plots which allow for an in-depth understanding of the parameters’ combined effects on the surface properties of the material upon dry milling. Using the statistical model it was possible to identify optimum combinations of cutting parameters on the grounds of minimising undesirable effects on the material. Eventually, a sample “risk of failure” map was derived by evaluating the impact of the process parameters’ statistical variations.</p>