Microstructural features of AlSi9Cu3 as well as superposition of segmented fatigue crack with initial microstructure studied by µCT
datacite.FundingReference.funderName | Deutsche Forschungsgemeinschaft | |
Contributing person | Institute of Materials Engineering | |
datacite.description.TableOfContents | #1: Reference batch specimen pre USFT: pore #2: Melt conditioned batch specimen pre USFT: single alpha cubic polyhedra #3: Melt conditioned batch specimen pre USFT: cluster of alpha cubic polyhedra #4: Reference batch specimen: Superposition of segmented fatigue crack with initial microstructure #5: Melt conditioned batch specimen: Superposition of segmented fatigue crack with initial microstructure | |
Description of the data | Keywords: Melt conditioning, metal melt filtration, Trainable Weka Segmentation Resource Type: videos of reconstructed and processed µCT slices Data Processing: Trainable Weka Segmentation Methods: Melt conditioning and filtration, Ultrasonic fatigue testing. X-ray microtomography | |
Type of the data | Audiovisual | |
Total size of the dataset | 35800796 | |
Author | Wagner, Ruben | |
Upload date | 2020-08-20T08:16:51Z | |
Upload date | 2026-06-03T15:05:19Z | |
Publication date | 2020-08-20T08:16:51Z | |
Publication date | 2026-06-03T15:05:19Z | |
Data of data creation | 2020 | |
Publication date | 2020-08-20 | |
Abstract of the dataset | To investigate the impact of melt conditioning and filtration on intermetallic phases in AlSi9Cu3 µCT studies were conducted. The gained research data show microstructural features like pores (#1) and polyhedral intermetallic phases (#2, #2) in 3D videos. The fatigue crack introduced by ultrasonic fatigue testing (USFT) was segmented from µCT slices by machine learning algorithms of Trainable Weka Segmentation and superimposed with the initial microstructure. The superposition of fatigue crack and initial microstructure is shown for a reference batch specimen (#4) and a melt con-ditioned and filtrated batch specimen (#5). | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2490 | |
Public reference to this page | https://doi.org/10.25532/OPARA-87 | |
dc.language | eng | |
Publisher | Technische Universität Bergakademie Freiberg | |
Licence | Attribution 4.0 International | |
URI of the licence text | http://creativecommons.org/licenses/by/4.0/ | |
Specification of the discipline(s) | 4::43::405 | |
Specification of the discipline(s) | 4::43::406 | |
Title of the dataset | Microstructural features of AlSi9Cu3 as well as superposition of segmented fatigue crack with initial microstructure studied by µCT | |
Research instruments | micro-CT ZEISS VERSA510 | |
Underlying research object | Aluminum alloy | |
Software | Image J (Version 1.52p) | |
Project abstract | To investigate the impact of melt conditioning and filtration on intermetallic phases in AlSi9Cu3 µCT studies were conducted. The gained research data show microstructural features as well as superposition of fatigue cracks with their inital microstructure. | |
Project title | Collaborative Research Center 920, subproject C04 (CRC 920, SP C04) |
Files
Original bundle
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- #1_Reference_batch__specimen_preUSFT_pore_TWS.avi
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- 196.69 KB
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- #2_Melt_conditioned_batch__specimen_preUSFT_single_alpha-c_polyhedra.avi
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- 443.77 KB
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- #3_Melt_conditioned_batch__specimen_preUSFT_cluster_alpha-c_polyhedra.avi
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- 7.55 MB
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- #4_Reference_batch_specimen_superposition_preUSFT_segmented_crack_TWS.avi
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- 14.77 MB
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- #5_Melt_conditioned_batch_specimen_superposition_preUSFT_segmented_crack_TWS.avi
- Size:
- 11.2 MB
- Format:
- Unknown data format
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