Deep learning object detection for optical monitoring of spatters in L-PBF
G Chebil, D Bettebghor, Y Renollet, P Lapouge… - Journal of Materials …, 2023 - Elsevier
Laser-powder bed fusion process (L-PBF) is one of the most widespread additive
manufacturing processes for metallic materials, where powder layers are successively …
manufacturing processes for metallic materials, where powder layers are successively …
[PDF][PDF] Cross-Virtuality Visualization, Interaction and Collaboration.
In X-Pro, we investigate novel user-centric methods and techniques for cross-virtuality
analytics. Cross-virtuality analytics in our sense aims to enable a seamless integration and …
analytics. Cross-virtuality analytics in our sense aims to enable a seamless integration and …
[HTML][HTML] Micro-CT measurement of fibre misalignment: Application to carbon/epoxy laminates manufactured in autoclave and by vacuum assisted resin transfer …
NQ Nguyen, M Mehdikhani, I Straumit… - Composites Part A …, 2018 - Elsevier
This paper proposes a methodology for measurement of fibre misalignment in composite
laminates based on the structure tensor of fibre orientations extracted from X-ray micro …
laminates based on the structure tensor of fibre orientations extracted from X-ray micro …
Probability of detection applied to X-ray inspection using numerical simulations
In this work, we apply and adapt established probability of detection (POD) methods on the
in-line inspection of aluminium cylinder heads using X-ray computed tomography (XCT). We …
in-line inspection of aluminium cylinder heads using X-ray computed tomography (XCT). We …
Dynamic volume lines: Visual comparison of 3D volumes through space-filling curves
The comparison of many members of an ensemble is difficult, tedious, and error-prone,
which is aggravated by often just subtle differences. In this paper, we introduce Dynamic …
which is aggravated by often just subtle differences. In this paper, we introduce Dynamic …
Imndt: Immersive workspace for the analysis of multidimensional material data from non-destructive testing
An analysis of large multidimensional volumetric data as generated by non-destructive
testing (NDT) techniques, eg, X-ray computed tomography (XCT), can hardly be evaluated …
testing (NDT) techniques, eg, X-ray computed tomography (XCT), can hardly be evaluated …
Visual parameter space exploration in time and space
Computational models, such as simulations, are central to a wide range of fields in science
and industry. Those models take input parameters and produce some output. To fully exploit …
and industry. Those models take input parameters and produce some output. To fully exploit …
Visualization of tensor fields in mechanics
C Hergl, C Blecha, V Kretzschmar… - Computer Graphics …, 2021 - Wiley Online Library
Tensors are used to describe complex physical processes in many applications. Examples
include the distribution of stresses in technical materials, acting forces during seismic …
include the distribution of stresses in technical materials, acting forces during seismic …
In situ prediction driven feature analysis in jet engine simulations
Efficient feature exploration in large-scale data sets using traditional post-hoc analysis
approaches is becoming prohibitive due to the bottleneck stemming from I/O and output data …
approaches is becoming prohibitive due to the bottleneck stemming from I/O and output data …
Defect detectability analysis via probability of defect detection between traditional and deep learning methods in numerical simulations
M Yosifov, P Weinberger, M Reiter… - Online e-journal of …, 2023 - repository.uantwerpen.be
X-ray computed tomography (XCT) is one of the most powerful imaging techniques in non-
destructive testing (NDT) for detecting, analysing and visualising defects such as pores …
destructive testing (NDT) for detecting, analysing and visualising defects such as pores …