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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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Huang, Zhihong
University of Dundee
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2016Modelling and characterisation of a ultrasound-actuated needle for improved visibility in ultrasound-guided regional anaesthesia and tissue biopsycitations
- 2016Loose powder detection and surface characterization in selective laser sintering via optical coherence tomographycitations
- 2013Reduced penetration force through ultrasound activation of a standard needlecitations
- 2012New piezocrystal material in the development of a 96-element array transducer for MR-guided focused ultrasound surgerycitations
- 2012Characterization of PMN-29%PT as a function of temperature and pressurecitations
- 2006Superimposed ultrasonic oscillations in compression tests of aluminiumcitations
- 2002A numerical and experimental study of the indentation mechanics of plasticine
- 2002Wedge indentation of an elasto-viscoplastic material
Places of action
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article
Loose powder detection and surface characterization in selective laser sintering via optical coherence tomography
Abstract
Defects produced during selective laser sintering (SLS) are difficult to non-destructively detect after build completion without the use of X-ray-based methods. Overcoming this issue by assessing integrity on a layer-by-layer basis has become an area of significant interest for users of SLS apparatus. Optical coherence tomography (OCT) is used in this study to detect surface texture and sub-surface powder, which is un-melted/insufficiently sintered, is known to be a common cause of poor part integrity and would prevent the use of SLS where applications dictate assurance of defect-free parts. To demonstrate the capability of the instrument and associated data-processing algorithms, samples were built with graduated porosities which were embedded in fully dense regions in order to simulate defective regions. Simulated in situ measurements were then correlated with the process parameters used to generate variable density regions. Using this method, it is possible to detect loose powder and differentiate between densities of ±5% at a sub-surface depth of approximately 300 μm. In order to demonstrate the value of OCT as a surface-profiling technique, surface texture datasets are compared with focus variation microscopy. Comparable results are achieved after a spatial bandwidth- matching procedure.