| People | Locations | Statistics |
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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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Åkerfeldt, Pia
Luleå University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2024Microstructure and mechanical properties of a modified 316 austenitic stainless steel alloy manufactured by laser powder bed fusioncitations
- 2024Machining of additively manufactured alloy 718 in as-built and heat-treated condition: surface integrity and cutting tool wearcitations
- 2024Machining of additively manufactured alloy 718 in as-built and heat-treated condition : surface integrity and cutting tool wearcitations
- 2024Machining of additively manufactured alloy 718 in as-built and heat-treated condition : surface integrity and cutting tool wearcitations
- 2024Prediction of manufacturing parameters of additively manufactured 316L steel samples using ultrasound fingerprintingcitations
- 2023Estimating manufacturing parameters of additively manufactured 316L steel cubes using ultrasound fingerprinting
- 2023Microstructural characterization and mechanical properties of additively manufactured 21-6-9 stainless steel for aerospace applicationscitations
- 2023Stress relief heat treatment and mechanical properties of laser powder bed fusion built 21-6-9 stainless steelcitations
- 2023Machining of additively manufactured alloy 718 in as-built and heat-treated condition : surface integrity and cutting tool wearcitations
- 2021Defects in Electron Beam Melted Ti-6Al-4V: Fatigue Life Prediction Using Experimental Data and Extreme Value Statisticscitations
- 2021Springback prediction and validation in hot forming of a double-curved component in alloy 718citations
- 2021Microstructural Characterization and Mechanical Properties of L-PBF Processed 316 L at Cryogenic Temperaturecitations
- 2020Fatigue crack growth of electron beam melted TI-6AL-4V in high-pressure hydrogencitations
- 2020Texture of electron beam melted Ti-6Al-4V measured with neutron diffractioncitations
- 2019Temperature and Microstructure Evolution in Gas Tungsten Arc Welding Wire Feed Additive Manufacturing of Ti-6Al-4Vcitations
- 2019Temperature and microstructure evolution in Gas Tungsten Arc Welding wire feed additive manufacturing of Ti-6Al-4Vcitations
- 2018Defect characterization of electron beam melted Ti-6Al-4V and Alloy 718 with X-ray microtomographycitations
- 2018Influence of successive thermal cycling on microstructure evolution of EBM-manufactured alloy 718 in track-by-track and layer-by-layer designcitations
- 2016Additive Manufacturing of Ti-6Al-4V: Relationship between Microstructure, Defects and Mechanical Properties
- 2012Investigation of the influence of copper welding electrodes on Ti-8Al-1Mo-1V and Ti-6Al-2Sn-4Zr-2Mo with respect to solid metal induced embrittlementcitations
- 2012Solid metal induced embrittlement of titanium alloys
Places of action
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article
Defects in Electron Beam Melted Ti-6Al-4V: Fatigue Life Prediction Using Experimental Data and Extreme Value Statistics
Abstract
<jats:p>Electron beam melting is a powder bed fusion (PBF) additive manufacturing (AM) method for metals offering opportunities for the reduction of material waste and freedom of design, but unfortunately also suffering from material defects from production. The stochastic nature of defect formation leads to a scatter in the fatigue performance of the material, preventing wider use of this production method for fatigue critical components. In this work, fatigue test data from electron beam melted Ti-6Al-4V specimens machined from as-built material are compared to deterministic fatigue crack growth calculations and probabilistically modeled fatigue life. X-ray computed tomography (XCT) data evaluated using extreme value statistics are used as the model input. Results show that the probabilistic model is able to provide a good conservative life estimate, as well as accurate predictive scatter bands. It is also shown that the use of XCT-data as the model input is feasible, requiring little investigated material volume for model calibration.</jats:p>