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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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Rodrigues, Tiago A.
Instituto de Soldadura e Qualidade
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2023Microstructure evolution and mechanical properties in a gas tungsten arc welded Fe42Mn28Co10Cr15Si5 metastable high entropy alloycitations
- 2023Microstructure evolution and mechanical properties in a gas tungsten arc welded Fe$_{42}$Mn$_{28}$Co$_{10}$Cr$_{15}$Si$_5$ metastable high entropy alloycitations
- 2022Gas tungsten arc welding of as-cast AlCoCrFeNi2.1 eutectic high entropy alloycitations
- 2022Steel-copper functionally graded material produced by twin-wire and arc additive manufacturing (T-WAAM)citations
- 2022In-situ hot forging direct energy deposition-arc of CuAl8 alloycitations
- 2022Gas tungsten arc welding of as-cast AlCoCrFeNi$_{2.1}$ eutectic high entropy alloycitations
- 2022In-situ hot forging directed energy deposition-arc of CuAl8 alloycitations
- 2022Wire and arc additive manufacturing of 316L stainless steel/Inconel 625 functionally graded material ; Development and characterizationcitations
- 2022Wire and arc additive manufacturing of 316L stainless steel/Inconel 625 functionally graded materialcitations
- 2021Response of ferrite, bainite, martensite, and retained austenite to a fire cycle in a fire-resistant steelcitations
- 2021Wire and Arc Additive Manufacturing of High-Strength Low-Alloy Steelcitations
- 2021Benchmarking of Nondestructive Testing for Additive Manufacturingcitations
- 2021Effect of heat treatments on 316 stainless steel parts fabricated by wire and arc additive manufacturing : Microstructure and synchrotron X-ray diffraction analysiscitations
- 2021Wire and Arc Additive Manufacturing of High‐Strength Low‐Alloy Steel: Microstructure and Mechanical Propertiescitations
- 2021Effect of heat treatments on 316 stainless steel parts fabricated by wire and arc additive manufacturing: Microstructure and synchrotron X-ray diffraction analysiscitations
- 2020In-situ strengthening of a high strength low alloy steel during Wire and Arc Additive Manufacturing (WAAM)citations
- 2020Hot forging wire and arc additive manufacturing (HF-WAAM)citations
- 2020Effect of milling parameters on HSLA steel parts produced by Wire and Arc Additive Manufacturing (WAAM)citations
- 2019Wire and arc additive manufacturing of HSLA steel: Effect of thermal cycles on microstructure and mechanical propertiescitations
- 2019Large-dimension metal parts produced through laser powder bed fusion
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article
Benchmarking of Nondestructive Testing for Additive Manufacturing
Abstract
<p>Defect detection in additive manufacturing (AM) is of paramount importance to improve the reliability of products. Nondestructive testing is not yet widely used for defect detection. The main challenges are a lack of standards and methods, the types and location of defects, and the complex geometry of many parts. During selective laser melting (SLM), several types of defects can occur such as porosity, cracking, and lack of fusion. In this study, several nondestructive tests were conducted in a highly complex shaped part in AISI 316L stainless steel with real defects manufactured by SLM. Two additional artificial defects (one horizontal and one flat bottom hole) were produced and the defect detectability was evaluated. The techniques used were as follows: dye penetrant, infrared thermography, immersion ultrasonic, eddy current, and X-ray microcomputed tomography to assess different types of defects in the as-built part. We conclude that no single technique can detect every type of defect, although multiple techniques provide complementary and redundant information to critically evaluate the integrity of the parts. This approach is fundamental for improving the reliability of defect detection, which will help expand the potential for using AM to produce parts for critical structural applications. </p>