| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Goldberg, Moshe
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (6/6 displayed)
- 2018A comprehensive study on surface quality in 5-axis milling of SLM Ti-6Al-4V spherical componentscitations
- 2018Characterizing the effect of cutting condition, tool path, and heat treatment on cutting forces of selective laser melting spherical component in five-axis millingcitations
- 2017Production of Ti-6Al-4V acetabular shell using selective laser meltingcitations
- 2017On the role of different annealing heat treatments on mechanical properties and microstructure of selective laser melted and conventional wrought Ti-6Al-4Vcitations
- 2016An improved static model for tool deflection in machining of Ti–6Al–4V acetabular shell produced by selective laser meltingcitations
- 2016A survey on mechanisms and critical parameters on solidification of selective laser melting during fabrication of Ti-6Al-4V prosthetic acetabular cupcitations
Places of action
| Organizations | Location | People |
|---|
article
A comprehensive study on surface quality in 5-axis milling of SLM Ti-6Al-4V spherical components
Abstract
<p>Surface quality is a significant factor in machining that affects the accuracy of spherical components. In this research, Ti-6Al-4V prosthetic acetabular shells have been printed using selective laser melting (SLM). Two post-processes, heat treatment and machining, have been carried out on the printed samples to improve the mechanical properties, dimensional deviations, and surface quality. Samples were printed based on Taguchi L32 design of experiment (DOE), and in order to predict the surface roughness multilayer perceptron (MLP) artificial neural networks (ANNs), Poisson and Taguchi methods have been used. The novelty of this work is in explaining the mechanical properties of as-built SLM parts such as hardness, ductility, and strength and their effect on machinability of spherical components. Characterising the effect of cutting conditions and heat treatment on the surface quality based on mechanics of cutting process and tool geometry is another contribution of this paper. Results showed that MLP ANN has high potential in the modelling of surface roughness in 5-axis machining of spherical components. To improve the surface quality of SLM parts, it is recommended to design appropriate tool paths, and machining parameters with lower scallop height, finishing allowance and higher spindle speed than normal and a higher annealing temperature.</p>