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iCT 2016

6th Conference on Industrial Computed Tomography (iCT) 2016, 9-12 February 2016, Wels, Austria

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Search Results: 56 in Date '2016-02-01'
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Exhibitors (3)
YXLON Internat.. 2
Title / Author(s) / Keywords Session
Algorithms, optimisations and visualisations
Efficient Iterative CT Reconstruction on Octree Guided by Geometric Errors
S. Kim1, A. Sakane1, Y. Ohtake119, H. Suzuki119, Y. Nagai113, K. Sato22, H. Fujimoto35, M. Abe36, O. Sato34, T. Takatsuji36
1School of Engineering; University of Tokyo66, Tokyo, Japan
2Hitachi Ltd4, Yokohama, Japan
3National Metrology Institute of Japan (NMIJ)4, Tsukuba, Japan
CT reconstruction, Adaptive data structure, Iterative algorithm, Geometric error driven method

Algorithms, optimisations and visualisations
Algorithms, optimisations and visualisations
The MUSICES Project: Simulative automated CT acquisition planning for historical brass instruments improves image quality
R. Schielein1,28, G. Scholz27, C. Kretzer26, T. Fuchs226, S. Kasperl238, F. Bär36, S. Kirsch36, M. Zepf32, M. Wolters-Rosbach35
1X-ray Microscopy; Julius-Maximilians-University Würzburg13, Würzburg, Germany
2Development Center X-ray technology (EZRT); Fraunhofer Institute for Integrated Circuits (IIS)185, Fürth, Germany
3Germanisches Nationalmuseum (GNM)6, Nürnberg, Germany
X-Ray simulation, quantitative image characterization, computed tomography of cultural heritage, CT acquisition planning

Algorithms, optimisations and visualisations
Algorithms, optimisations and visualisations
A novel Method for Determination of Fiber Length Distributions from µCT-data
P. Pinter, B. Bertram, K. Weidenmann2
Institute for Applied Materials; Karlsruhe Institute of Technology (KIT)5, Karlsruhe, Germany
Radiographic Testing (RT), fibre reinforced polymers, X-ray computed tomography, fibre length distribution, fiber tracking

Algorithms, optimisations and visualisations
Manufacturing, NDT and instrumentation
Automatic Object Position Recognition: Increasing the Position-Accuracy in Robot-CT
P. Klein7, F. Herold28
YXLON International GmbH198, Hamburg, Germany
Computed Tomography, Robot-CT, Measurement Accuracy

Manufacturing, NDT and instrumentation
Manufacturing, NDT and instrumentation
Investigation on Effect of scintillator thickness on image lag in Indirect- Flat Panel Detectors
K. Zarei zefreh12, J. De Beenhouwer117, F. Marone Welford22, J. Sijbers120
1iMinds-Visionlab; University of Antwerpen36, Antwerpen, Belgium
2X-ray Tomography Group; Swiss Light Source2, Villigen, Switzerland
x-ray detector, flat-panel, image lag, scintillator thickness, synchrotron

Manufacturing, NDT and instrumentation
Manufacturing, NDT and instrumentation
Parametric design in Reverse Engineering based on CT data
D. Hofmann3, P. Sembdner3, S. Holtzhausen3, C. Schöne, R. Stelzer3
Department of Mechanical Engineering, Institute of Machine Elements and Machine Design; Dresden University of Technology (TU Dresden)80, Dresden, Germany
NDT-wide, CT data, Reverse Engineering, Parametric design

Manufacturing, NDT and instrumentation
Manufacturing, NDT and instrumentation
CT-based quality control of Laser Sintering of Polymers
M. Pavan15, T. Craeghs16, J. Kruth212, W. Dewulf221
1R&D; Materialise NV6, Leuven, Belgium
2Department of Mechanical Engineering; Catholic University of Leuven (KU Leuven) 105, Leuven, Belgium
Radiographic Testing (RT), polymers, quality control, Computed Tomography, Non-destructive testing, Laser Sintering, porosity analysis, Scanning Strategy
Manufacturing, NDT and instrumentation
Materials characterisation
Size and shape determination of sub-millimeter sized abrasive particles with X-ray computed tomography
C. Rothleitner, U. Neuschaefer-Rube13, J. Illemann8
Physikalisch-Technische Bundesanstalt (PTB)45, Braunschweig, Germany
Radiographic Testing (RT), Computed Tomography, 3D Analysis, X-ray, abrasive particles, particle characterization, Size and Shape of Particles

Materials characterisation
Materials characterisation
3D microstructure and damage accumulation in a cast AlSi12Cu5Ni2-Mg piston alloy as a function of solution treatment
K. Bugelnig1, G. Requena211, F. Sket32, F. Wilde43
1Inst. of Materials Science & Technology; Vienna University of Technolog (TU)57, Vienna, Austria
2German Aerospace Center (DLR)8, Cologne, Germany
3Madrid Institute for Advanced Studies of Materials (IMDEA Materials Institute)4, Madrid, Spain
4Helmholtz-Zentrum Geesthacht8, Geesthacht, Germany
Other Methods, Synchrotron Tomography, Damage evolution, Al-Si piston alloys, solution treatment, 3D microstructure

Materials characterisation
Materials characterisation
Digital Volume Correlation for Strain Mapping of Industrial Materials
N. Lippiatt, M. Wevers54
Department of Metallurgy and Materials Engineering (MTM); Catholic University of Leuven (KU Leuven) 105, Leuven, Belgium
Radiographic Testing (RT), image analysis, metrology, tomography

Materials characterisation
Materials characterisation
Comparision of different segmentation methods for porosity evaluation in CFRP-reference samples and comparison with real porosity samples
G. Rao8, B. Plank49, J. Kastner124
R&D Competence Center; Upper Austrian University of Applied Sciences (FH OÖ)172, Wels, Austria
Radiographic Testing (RT), Other Methods, composite, materials characterization, porosity, carbon fiber reinforced plastic (CFRP), visualization, Computed Tomography, reference sample

Materials characterisation
Materials characterisation
Comparison of predicted and measured fiber orientations in injection molded parts
G. Gsellmann1, M. Jerabek13, D. Salaberger239
1Borealis Polyolefine GmbH6, Linz, Austria
2R&D Competence Center; Upper Austrian University of Applied Sciences (FH OÖ)172, Wels, Austria
AMI 2016, Autodesk Moldflow, fiber orientation, computed tomography, Folgar-Tucker, residual strain closure

Materials characterisation
Quality evaluation of X-ray computed tomography volume data in dimensional metrology
L. Xue1, H. Suzuki119, Y. Ohtake119, H. Fujimoto25, M. Abe26, O. Sato24, T. Takatsuji26
1RCAST; University of Tokyo66, Tokyo, Japan
2National Metrology Institute of Japan (NMIJ)4, Tsukuba, Japan
X-ray computed tomography, dimensional metrology, image quality, measurement accuracy, entropy

Numerical measurement uncertainty determination for dimensional measurements of microparts with CT
E. Helmecke14, M. Fleßner15, A. Staude228, T. Hausotte114
1Institute of Manufacturing Metrology; University of Erlangen-Nürnberg (FAU)45, Erlangen, Germany
2BAM Federal Institute for Materials Research and Testing1327, Berlin, Germany
computed tomography, dimensional metrology, standardization, numerical uncertainty determination, Virtual Metrological CT

Development of test bodies for deployment in industrial Computed Tomography
A. Kraemer3, A. Batra, G. Lanza13
wbk Institute of Production Science; Karlsruhe Institute of Technology (KIT)22, Eggenstein, Germany
Radiographic Testing (RT), Other Methods, metrology, traceability, Computed Tomography, Geometric Tolerances

Experimental assessment of computed tomography dimensional performance using modular test pieces made of polyoxymethylene and aluminum
C. Baldo17, T. Fernandes26, G. Donatelli211
1Modeling and Applied Social Sciences Center; Federal University of ABC (UFABC)7, Santo André, Brazil
2Center for Metrology and Instrumentation; CERTI Foundation12, Florianópolis, Brazil
computed tomography, measurement uncertainty, features of size, modular test artefacts

Novel evaluation method of low contrast resolution performance of dimensional X-ray CT
M. Abe6, H. Fujimoto5, O. Sato4, K. Matsuzaki2, T. Takatsuji6
National Metrology Institute of Japan (NMIJ)4, Tsukuba, Japan
dimensional metrology, X-ray computed tomography, contrast, resolution

Assessment of the single point uncertainty of dimensional CT measurements
M. Fleßner5, A. Müller10, D. Götz, E. Helmecke4, T. Hausotte14
Institute of Manufacturing Metrology; University of Erlangen-Nürnberg (FAU)45, Erlangen, Germany
computed tomography, dimensional metrology, single point uncertainty, measurement uncertainty, error sources

Materials characterisation
Analyzing wood bark insulation board structure using X-ray computed tomography and modeling its thermal conductivity by means of finite difference method
G. Kain1,24, B. Lienbacher12, M. Barbu1,33, B. Plank449, K. Richter23, A. Petutschnigg1,56
1Department of Forest Products Technology and Timber Construction; University of Applied Science Salzburg7, Salzburg, Austria
2Holzforschung München; Technical University of Munich (TUM)120, Munich, Germany
3Faculty for Wood Engineering; Transilvania University13, Brasov, Romania
4School of Engineering and Environmental Sciences; Upper Austrian University of Applied Sciences (FH OÖ)172, Wels, Austria
5Institute of Wood Science and Technology; University of Natural Resources and Life Sciences, Tulln, Austria
Radiographic Testing (RT), Other Methods, materials characterization, computed tomography, Thermal conductivity, numerical modeling, Tree bark, bark panels, CT-structure evaluation

Materials characterisation
Metrological evaluation and application of a region-based surface extraction method for material separation in CT volume data
J. Denecke4, I. Effenberger10, A. Verl2
Institut für Produktionstechnik und Automatisierung; Fraunhofer Institute for Manufacturing Engineering and Automation (IPA)15, Stuttgart , Germany
material separation, segmentation, surface extraction, region-based

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