4.5 Article Proceedings Paper

Visual Analysis of Defects in Glass Fiber Reinforced Polymers for 4DCT Interrupted In situ Tests

Journal

COMPUTER GRAPHICS FORUM
Volume 35, Issue 3, Pages 201-210

Publisher

WILEY
DOI: 10.1111/cgf.12896

Keywords

-

Ask authors/readers for more resources

Material engineers use interrupted in situ tensile testing to investigate the damage mechanisms in composite materials. For each subsequent scan, the load is incrementally increased until the specimen is completely fractured. During the interrupted in situ testing of glass fiber reinforced polymers (GFRPs) defects of four types are expected to appear: matrix fracture, fiber/matrix debonding, fiber pull-out, and fiber fracture. There is a growing demand for the detection and analysis of these defects among the material engineers. In this paper, we present a novel workflow for the detection, classification, and visual analysis of defects in GFRPs using interrupted in situ tensile tests in combination with X-ray Computed Tomography. The workflow is based on the automatic extraction of defects and fibers. We introduce the automatic Defect Classifier assigning the most suitable type to each defect based on its geometrical features. We present a visual analysis system that integrates four visualization methods: 1) the Defect Viewer highlights defects with visually encoded type in the context of the original CT image, 2) the Defect Density Maps provide an overview of the defect distributions according to type in 2D and 3D, 3) the Final Fracture Surface estimates the material fracture's location and displays it as a 3D surface, 4) the 3D Magic Lens enables interactive exploration by combining detailed visualizations in the region of interest with overview visualizations as context. In collaboration with material engineers, we evaluate our solution and demonstrate its practical applicability.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Materials Science, Characterization & Testing

Additive manufacturing and non-destructive testing of topology-optimised aluminium components

Sascha Senck, Michael Happl, Michael Reiter, Michael Scheerer, Manuel Kendel, Jonathan Glinz, Johann Kastner

NONDESTRUCTIVE TESTING AND EVALUATION (2020)

Article Materials Science, Characterization & Testing

Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres

Bernhard Froehler, Tim Elberfeld, Torsten Moeller, Hans-Christian Hege, Jan De Beenhouwer, Jan Sijbers, Johann Kastner, Christoph Heinzl

NONDESTRUCTIVE TESTING AND EVALUATION (2020)

Article Materials Science, Multidisciplinary

Phase-contrast and dark-field imaging for the inspection of resin-rich areas and fiber orientation in non-crimp vacuum infusion carbon-fiber-reinforced polymers

Jonathan Glinz, Jan Sleichrt, Daniel Kytyr, Santhosh Ayalur-Karunakaran, Simon Zabler, Johann Kastner, Sascha Senck

Summary: The study presents a multimodal approach to quantify and visualize fiber orientation and resin-rich areas in carbon-fiber-reinforced polymers manufactured by vacuum infusion. The use of TLGI-XCT provides enhanced contrast between polymer matrix and carbon fibers at lower spatial resolutions, facilitating the assessment of resin-rich areas. The combination of DPC and DFC helps in quantifying resin-rich areas and understanding their distribution patterns within the composite material.

JOURNAL OF MATERIALS SCIENCE (2021)

Article Materials Science, Multidisciplinary

Influence of rheocasting and rare earth metals on the 3D-microstructure of ZK60 Mg-alloy measured by multiscale X-ray computed tomography

Johann Kastner, Stefan Zaunschirm, Sarah Rendl, Erenilton Pereira da Silva

Summary: This study investigated the internal architecture and microstructure of cast and hot rolled ZK60 alloys with different rare earth metal content. The results showed that the addition of rare earth metals improved the homogeneity of the microstructure, while rheocasting led to a more uniform distribution of Zr-rich particles.

MATERIALS CHARACTERIZATION (2021)

Article Food Science & Technology

Investigation of opening eye defects and effects of different ripening profiles on eye structure in semi-hard cheese using X-ray micro-computed tomography

Jaqueline Auer, Michael Reiter, Sascha Senck, Andreas Reiter, Johann Kastner, Katrin Mathmann

Summary: The presence of eyes in Swiss-type cheese is an important indicator of quality. Research has shown that the duration of pre-maturing and the maturing temperature can influence the formation of eyes, and not all eyes have the same growth potential.

FOOD STRUCTURE-NETHERLANDS (2021)

Article Engineering, Multidisciplinary

Assessing the effect of sample orientation on dimensional X-ray computed tomography through experimental and simulated data

Herminso Villarraga-Gomez, Artem Amirkhanov, Christoph Heinzl, Stuart T. Smith

Summary: This paper evaluates the dimensional accuracy of industrial X-ray computed tomography (CT) measurements in relation to sample orientation within the measurement volume. Experimental data is compared to simulated predictions, showing that optimal tilt angles can minimize measurement errors.

MEASUREMENT (2021)

Article Computer Science, Software Engineering

A Survey on Cross-Virtuality Analytics

B. Froehler, C. Anthes, F. Pointecker, J. Friedl, D. Schwajda, A. Riegler, S. Tripathi, C. Holzmann, M. Brunner, H. Jodlbauer, H-C Jetter, C. Heinzl

Summary: Cross-virtuality analytics (XVA) is a novel field that aims to seamlessly integrate different devices and support multiple users through transitional and collaborative interfaces. This work provides a comprehensive analysis of the current state of XVA, including methods of establishing cross-virtuality, visualization and interaction techniques, system evaluation, and domains of application.

COMPUTER GRAPHICS FORUM (2022)

Article Materials Science, Characterization & Testing

Cross-virtuality analysis of rich X-ray computed tomography data for materials science applications

A. Gall, B. Froehler, J. Maurer, J. Kastner, C. Heinzl

Summary: We demonstrate a collaborative visualization framework that combines traditional desktop-based setup with virtual reality-based system for analyzing rich X-Ray Computed Tomography Data. This framework supports experts in analyzing objects and their characteristics by providing detailed spatial impressions and collaborative capabilities through virtual reality technology.

NONDESTRUCTIVE TESTING AND EVALUATION (2022)

Article Materials Science, Characterization & Testing

Probability of detection applied to X-ray inspection using numerical simulations

M. Yosifov, M. Reiter, S. Heupl, C. Gusenbauer, B. Froehler, R. Fernandez- Gutierrez, J. De Beenhouwer, J. Sijbers, J. Kastner, C. Heinzl

Summary: In this study, we use X-ray computed tomography (XCT) for in-line inspection of aluminum cylinder heads and apply and adapt the probability of detection (POD) methods. By using a simulation tool to generate virtual X-ray radiographs, the need for manufacturing specimens with known defect characteristics is eliminated. The virtual images are analyzed using an automated defect detection method to quantify defects. The hit/miss approach is used to create the defect curves. The results demonstrate the advantages of numerical simulations in quantifying and improving defect detection.

NONDESTRUCTIVE TESTING AND EVALUATION (2022)

Article Crystallography

Kirkendall Effect in Twin-Roll Cast AA 3003 Aluminum Alloy

Jan Bajer, Stefan Zaunschirm, Bernhard Plank, Michaela Slapakova, Lucia Bajtosova, Miroslav Cieslar, Johann Kastner

Summary: Inhomogeneous structure with central segregation occurs in commercial twin-roll cast AA 3003 aluminum alloy, where segregations form as manganese, iron, and silicon-rich channels spread in the rolling direction. Diffusion of silicon during annealing leads to the formation and growth of voids due to the Kirkendall effect.

CRYSTALS (2022)

Article Materials Science, Characterization & Testing

cuPARE: parametric reconstruction of curved fibres from glass fibre-reinforced composites

Tim Elberfeld, Bernhard Froehler, Christoph Heinzl, Jan Sijbers, Jan De Beenhouwer

Summary: A new framework is proposed for reconstructing curved fibres from X-ray computed tomography data of glass fibre-reinforced composites. It can detect fibres in a low-dose, low-resolution CT scan, and estimate their parameters directly from a few high-resolution 2D projection images. The framework is validated on both simulated and real data, showing robustness to noise and requiring less than 10 high-resolution projections for accurate estimates. It can also improve existing estimation frameworks based on full 3D scans.

NONDESTRUCTIVE TESTING AND EVALUATION (2023)

Article Computer Science, Software Engineering

Volume conductor: interactive visibility management for crowded volumes

Ziga Lesar, Ruwayda Alharbi, Ciril Bohak, Ondrej Strnad, Christoph Heinzl, Matija Marolt, Ivan Viola

Summary: This system allows users to form groups of objects and control the visibility of each group on a per-instance basis, effectively exploring crowded volumetric data.

VISUAL COMPUTER (2023)

Article Computer Science, Software Engineering

Scale Trotter: Illustrative Visual Travels Across Negative Scales

Sarkis Halladjian, Haichao Miao, David Kouril, M. Eduard Groller, Ivan Viola, Tobias Isenberg

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2020)

Article Computer Science, Software Engineering

Multi-Scale Procedural Animations of Microtubule Dynamics Based on Measured Data

Tobias Klein, Ivan Viola, Eduard Groeller, Peter Mindek

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2020)

No Data Available