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.
Description

CCS Concepts: Computing methodologies --> Shape analysis; Applied computing --> Engineering

        
@inproceedings{
10.2312:vmv.20221201
, booktitle = {
Vision, Modeling, and Visualization
}, editor = {
Bender, Jan
and
Botsch, Mario
and
Keim, Daniel A.
}, title = {{
Alignment and Reassembly of Broken Specimens for Creep Ductility Measurements
}}, author = {
Knauthe, Volker
and
Kraus, Maurice
and
Fellner, Dieter W.
and
Buelow, Max von
and
Wirth, Tristan
and
Rak, Arne
and
Merth, Laurenz
and
Erbe, Alexander
and
Kontermann, Christian
and
Guthe, Stefan
and
Kuijper, Arjan
}, year = {
2022
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-189-2
}, DOI = {
10.2312/vmv.20221201
} }
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