Knauthe, Volker ; Kraus, Maurice ; Buelow, Max von ; Wirth, Tristan ; Rak, Arne ; Merth, Laurenz ; Erbe, Alexander ; Kontermann, Christian ; Guthe, Stefan ; Kuijper, Arjan ; Fellner, Dieter W. (2022)
Alignment and Reassembly of Broken Specimens for Creep Ductility Measurements.
International Symposium on Vision, Modeling, and Visualization (VMV'22). Konstanz (27.09.2022-30.09.2022)
doi: 10.2312/vmv.20221201
Konferenzveröffentlichung, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
Designing new types of heat-resistant steel components is an important and active research field in material science. It requires detailed knowledge of the inherent steel properties, especially concerning their creep ductility. Highly precise automatic stateof-the-art approaches for such measurements are very expensive and often times invasive. The alternative requires manual work from specialists and is time consuming and unrobust. In this paper, we present a novel approach that uses a photometric scanning system for capturing the geometry of steel specimens, making further measurement extractions possible. In our proposed system, we apply calibration for pan angles that occur during capturing and a robust reassembly for matching two broken specimen pieces to extract the specimen’s geometry. We compare our results against μCT scans and found that it deviates by 0.057mm on average distributed over the whole specimen for a small amount of 36 captured images. Additionally, comparisons to manually measured values indicate that our system leads to more robust measurements.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Knauthe, Volker ; Kraus, Maurice ; Buelow, Max von ; Wirth, Tristan ; Rak, Arne ; Merth, Laurenz ; Erbe, Alexander ; Kontermann, Christian ; Guthe, Stefan ; Kuijper, Arjan ; Fellner, Dieter W. |
| Art des Eintrags: | Bibliographie |
| Titel: | Alignment and Reassembly of Broken Specimens for Creep Ductility Measurements |
| Sprache: | Englisch |
| Publikationsjahr: | 1 Oktober 2022 |
| Verlag: | Eurographics Association |
| Buchtitel: | VMV2022: Vision, Modeling, and Visualization |
| Veranstaltungstitel: | International Symposium on Vision, Modeling, and Visualization (VMV'22) |
| Veranstaltungsort: | Konstanz |
| Veranstaltungsdatum: | 27.09.2022-30.09.2022 |
| DOI: | 10.2312/vmv.20221201 |
| URL / URN: | https://diglib.eg.org:443/handle/10.2312/vmv20221201 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Designing new types of heat-resistant steel components is an important and active research field in material science. It requires detailed knowledge of the inherent steel properties, especially concerning their creep ductility. Highly precise automatic stateof-the-art approaches for such measurements are very expensive and often times invasive. The alternative requires manual work from specialists and is time consuming and unrobust. In this paper, we present a novel approach that uses a photometric scanning system for capturing the geometry of steel specimens, making further measurement extractions possible. In our proposed system, we apply calibration for pan angles that occur during capturing and a robust reassembly for matching two broken specimen pieces to extract the specimen’s geometry. We compare our results against μCT scans and found that it deviates by 0.057mm on average distributed over the whole specimen for a small amount of 36 captured images. Additionally, comparisons to manually measured values indicate that our system leads to more robust measurements. |
| Freie Schlagworte: | Measurements, Industrial maintenance, Industrial quality control, Industrie 4.0, Defect detection |
| Fachbereich(e)/-gebiet(e): | 11 Fachbereich Material- und Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Materialwissenschaft 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet für Numerische Berechnungsverfahren im Maschinenbau (FNB) 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 13 Dez 2022 12:42 |
| Letzte Änderung: | 17 Sep 2024 06:09 |
| PPN: | 505625873 |
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| Suche nach Titel in: | TUfind oder in Google |
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Alignment and Reassembly of Broken Specimens for Creep Ductility Measurements. (deposited 16 Sep 2024 09:52)
- Alignment and Reassembly of Broken Specimens for Creep Ductility Measurements. (deposited 13 Dez 2022 12:42) [Gegenwärtig angezeigt]
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