Investigating Defect Detection in Advanced Ceramic Additive Manufacturing Using Active Thermography

Additive manufacturing of advanced materials has become widespread, encompassing a range of materials including thermoplastics, metals, and ceramics. For the ceramics, the complete production process typically involves indirect additive manufacturing, where the green ceramic part undergoes debinding...

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Main Authors: Anthonin Demarbaix, Enrique Juste, Tim Verlaine, Ilario Strazzeri, Julien Quinten, Arnaud Notebaert
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:NDT
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Online Access:https://www.mdpi.com/2813-477X/2/4/31
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author Anthonin Demarbaix
Enrique Juste
Tim Verlaine
Ilario Strazzeri
Julien Quinten
Arnaud Notebaert
author_facet Anthonin Demarbaix
Enrique Juste
Tim Verlaine
Ilario Strazzeri
Julien Quinten
Arnaud Notebaert
author_sort Anthonin Demarbaix
collection DOAJ
description Additive manufacturing of advanced materials has become widespread, encompassing a range of materials including thermoplastics, metals, and ceramics. For the ceramics, the complete production process typically involves indirect additive manufacturing, where the green ceramic part undergoes debinding and sintering to achieve its final mechanical and thermal properties. To avoid unnecessary energy-intensive steps, it is crucial to assess the internal integrity of the ceramic in its green stage. This study aims to investigate the use of active thermography for defect detection. The approach is to examine detectability using two benchmarks: the first focuses on the detectability threshold, and the second on typical defects encountered in 3D printing. For the first benchmark, reflection and transmission modes are tested with and without a camera angle to minimize reflection. The second benchmark will then be assessed using the most effective configurations identified. All defects larger than 1.2 mm were detectable across the benchmarks. The method can successfully detect defects, with transmission mode being more suitable since it does not require a camera angle adjustment to avoid reflections. However, the method struggles to detect typical 3D-printing defects because the minimum defect size is 0.6 mm, which is the size of the nozzle.
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spelling doaj-art-f14bdc2191be42c28d907615b209f7c62025-01-24T13:44:21ZengMDPI AGNDT2813-477X2024-11-012450451810.3390/ndt2040031Investigating Defect Detection in Advanced Ceramic Additive Manufacturing Using Active ThermographyAnthonin Demarbaix0Enrique Juste1Tim Verlaine2Ilario Strazzeri3Julien Quinten4Arnaud Notebaert5Science and Technology Research Unit, Haute Ecole Provinciale de Hainaut Condorcet, Boulevard Solvay 31, 6000 Charleroi, BelgiumBelgian Ceramic Research Center (INISMa-CRIBC), Avenue Gouverneur Cornez, 4, 7000 Mons, BelgiumScience and Technology Research Unit, Haute Ecole Provinciale de Hainaut Condorcet, Boulevard Solvay 31, 6000 Charleroi, BelgiumScience and Technology Research Unit, Haute Ecole Provinciale de Hainaut Condorcet, Boulevard Solvay 31, 6000 Charleroi, BelgiumScience and Technology Research Unit, Haute Ecole Provinciale de Hainaut Condorcet, Boulevard Solvay 31, 6000 Charleroi, BelgiumScience and Technology Research Unit, Haute Ecole Provinciale de Hainaut Condorcet, Boulevard Solvay 31, 6000 Charleroi, BelgiumAdditive manufacturing of advanced materials has become widespread, encompassing a range of materials including thermoplastics, metals, and ceramics. For the ceramics, the complete production process typically involves indirect additive manufacturing, where the green ceramic part undergoes debinding and sintering to achieve its final mechanical and thermal properties. To avoid unnecessary energy-intensive steps, it is crucial to assess the internal integrity of the ceramic in its green stage. This study aims to investigate the use of active thermography for defect detection. The approach is to examine detectability using two benchmarks: the first focuses on the detectability threshold, and the second on typical defects encountered in 3D printing. For the first benchmark, reflection and transmission modes are tested with and without a camera angle to minimize reflection. The second benchmark will then be assessed using the most effective configurations identified. All defects larger than 1.2 mm were detectable across the benchmarks. The method can successfully detect defects, with transmission mode being more suitable since it does not require a camera angle adjustment to avoid reflections. However, the method struggles to detect typical 3D-printing defects because the minimum defect size is 0.6 mm, which is the size of the nozzle.https://www.mdpi.com/2813-477X/2/4/31active thermographyadditive manufacturingceramic
spellingShingle Anthonin Demarbaix
Enrique Juste
Tim Verlaine
Ilario Strazzeri
Julien Quinten
Arnaud Notebaert
Investigating Defect Detection in Advanced Ceramic Additive Manufacturing Using Active Thermography
NDT
active thermography
additive manufacturing
ceramic
title Investigating Defect Detection in Advanced Ceramic Additive Manufacturing Using Active Thermography
title_full Investigating Defect Detection in Advanced Ceramic Additive Manufacturing Using Active Thermography
title_fullStr Investigating Defect Detection in Advanced Ceramic Additive Manufacturing Using Active Thermography
title_full_unstemmed Investigating Defect Detection in Advanced Ceramic Additive Manufacturing Using Active Thermography
title_short Investigating Defect Detection in Advanced Ceramic Additive Manufacturing Using Active Thermography
title_sort investigating defect detection in advanced ceramic additive manufacturing using active thermography
topic active thermography
additive manufacturing
ceramic
url https://www.mdpi.com/2813-477X/2/4/31
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AT ilariostrazzeri investigatingdefectdetectioninadvancedceramicadditivemanufacturingusingactivethermography
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