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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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Gault, Rosemary
University of Sheffield
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (5/5 displayed)
- 2011Manufacturing Ti-6Al-4V components by shaped metal deposition : microstructure and mechanical propertiescitations
- 2011Preliminary empirical models for predicting shrinkage, part geometry and metallurgical aspects of Ti-6Al-4V shaped metal deposition buildscitations
- 2010Additive manufacturing of Ti-6Al-4V components by shaped metal deposition: Microstructure and mechanical properties
- 2009Shaped metal deposition of Ti: Microstructure and mechanical properties
- 2009Microstructure of Ti-6Al-4V specimens produced by shaped metal deposition
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article
Preliminary empirical models for predicting shrinkage, part geometry and metallurgical aspects of Ti-6Al-4V shaped metal deposition builds
Abstract
Shaped Metal Deposition (SMD) is an additive manufacturing process which creates parts layer by layer by weld depositions. In this work, empirical models that predict part geometry (wall thickness and outer diameter) and some metallurgical aspects (i.e. surface texture, portion of finer Widmanstätten microstructure) for the SMD process were developed. The models are based on an orthogonal fractional factorial design of experiments with four factors at two levels. The factors considered were energy level (a relationship between heat source power and the rate of raw material input.), step size, programmed diameter and travel speed. The models were validated using previous builds; the prediction error for part geometry was under 11%. Several relationships between the factors and responses were identified. Current had a significant effect on wall thickness; thickness increases with increasing current. Programmed diameter had a significant effect on percentage of shrinkage; this decreased with increasing component size. Surface finish decreased with decreasing step size and current.