| People | Locations | Statistics |
|---|---|---|
| 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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Yakushina, Evgenia
Laboratory of Microstructure Studies and Mechanics of Materials
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2023Deep learning enhanced Watershed for microstructural analysis using a boundary class semantic segmentationcitations
- 2023Development of the forming limit diagram for AA6016-T4 at room temperature using uniaxial tension of notched samples and a biaxial testcitations
- 2022Tailoring titanium sheet metal using laser metal deposition to improve room temperature single-point incremental formingcitations
- 2021Effect of machining induced microstructure changes on the edge formability of titanium alloys at room temperature
- 2021Influence of longitudinal scratch defects on the bendability of titanium alloycitations
- 2020Influence of sheet conditions on in-plane strain evolution via ex-situ tensile deformation of Ti-3Al-2.5V at room temperaturecitations
- 2020Examining failure behaviour of commercially pure titanium during tensile deformation and hole expansion testcitations
- 2020Impact of machining induced surface defects on the edge formability of commercially pure titanium sheet at room temperaturecitations
- 2019Effect of edge conditions on the formability of commercially pure titanium sheet (Grade 2) at room temperature
- 2018The influence of the microstructure morphology of two phase Ti-6Al-4V alloy on the mechanical properties of diffusion bonded jointscitations
- 2017Automated microstructural analysis of titanium alloys using digital image processingcitations
- 2017An evaluation of H13 tool steel deformation in hot forging conditioncitations
- 2014Mechanical Properties and Microstructure of AZ31B Magnesium Alloy Processed by I-ECAPcitations
- 2014Modelling of active transformation of microstructure of two-phase Ti alloys during hot workingcitations
- 2013Mechanical properties and microstructure of AZ31B magnesium alloy processed by I-ECAP.citations
- 2010Corrosion behavior of titanium materials with an ultrafine-grained structurecitations
- 2009Nanostructuring of Ti-alloys by SPD processing to achieve superior fatigue propertiescitations
- 2008Effect of cold rolling on the structure and mechanical properties of sheets from commercial titaniumcitations
Places of action
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article
Automated microstructural analysis of titanium alloys using digital image processing
Abstract
<p>Titanium is a material that exhibits many desirable properties including a very high strength to weight ratio and corrosive resistance. However, the specific properties of any components depend upon the microstructure of the material, which varies by the manufacturing process. This means it is often necessary to analyse the microstructure when designing new processes or performing quality assurance on manufactured parts. For Ti6Al4V, grain size analysis is typically performed manually by expert material scientists as the complicated microstructure of the material means that, to the authors knowledge, no existing software reliably identifies the grain boundaries. This manual process is time consuming and offers low repeatability due to human error and subjectivity. In this paper, we propose a new, automated method to segment microstructural images of a Ti6Al4V alloy into its constituent grains and produce measurements. The results of applying this technique are evaluated by comparing the measurements obtained by different analysis methods. By using measurements from a complete manual segmentation as a benchmark we explore the reliability of the current manual estimations of grain size and contrast this with improvements offered by our approach.</p>