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  4. Alignment and Reassembly of Broken Specimens for Creep Ductility Measurements
 
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2022
Conference Paper
Title

Alignment and Reassembly of Broken Specimens for Creep Ductility Measurements

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.
Author(s)
Knauthe, Volker
TU Darmstadt, Fachgebiet Graphisch-Interaktive Systeme  
Kraus, Maurice
TU Darmstadt, Fachgebiet Graphisch-Interaktive Systeme  
Buelow, Max von
TU Darmstadt, Fachgebiet Graphisch-Interaktive Systeme  
Wirth, Tristan
TU Darmstadt, Fachgebiet Graphisch-Interaktive Systeme  
Rak, Arne
TU Darmstadt, Fachgebiet Graphisch-Interaktive Systeme  
Merth, Laurenz
TU Darmstadt, Fachgebiet Graphisch-Interaktive Systeme  
Erbe, Alexander
TU Darmstadt, Fachgebiet Graphisch-Interaktive Systeme
Kontermann, Christian
TU Darmstadt, Fachgebiet Graphisch-Interaktive Systeme
Guthe, Stefan  
TU Darmstadt, Fachgebiet Graphisch-Interaktive Systeme
Kuijper, Arjan  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Fellner, Dieter
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
VMV 2022, Symposium on Vision, Modeling, and Visualization  
Project(s)
Komprimierte Datenstrukturen für Echtzeitrendering  
Funder
Deutsche Forschungsgemeinschaft -DFG-, Bonn
Conference
Symposium on Vision, Modeling, and Visualization 2022  
Open Access
DOI
10.2312/vmv.20221201
10.24406/publica-612
File(s)
10.2312_vmv.20221201.pdf (4.06 MB)
Rights
CC BY 4.0: Creative Commons Attribution
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Digitized Work

  • Research Line: Computer graphics (CG)

  • Research Line: Computer vision (CV)

  • Measurements

  • Industrial maintenance

  • Industrial quality control

  • Industrie 4.0

  • Defect detection

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