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Other contributing persons, institutions or organisationsdfg - Funder
Person(s) who is (are) responsible for the content of the research dataWagner, Ruben
Description of further data processingTrainable Weka Segmentation
Used research instruments or devicesmicro-CT ZEISS VERSA510
Research objectsPhysicalObject: Aluminum alloy
AbstractTo 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).
Applied methods and techniquesMelt conditioning and filtration Ultrasonic fatigue testing X-ray microtomography
Table of contents#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
Additional keywordsMelt conditioning, metal melt filtration, Trainable Weka Segmentation
Languageeng
Year or period of data production2020
Publication year2020
PublisherTechnische Universität Bergakademie Freiberg
PublisherInstitute of Materials Engineering
References on related materialsIsPartOf: 123456789/1766 (Handle)
Content of the research dataAudiovisual: videos of reconstructed and processed µCT slices
Holder of usage rightsTechnische Universität Bergakademie Freiberg
Usage rights of the dataCC-BY-4.0
SoftwareResource Processing: Image J 1.52p
Additional precise description of disciplineMaterials Engineering
Discipline(s)Materials Sciencede
Title of the datasetMicrostructural features of AlSi9Cu3 as well as superposition of segmented fatigue crack with initial microstructure studied by µCT


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  • µCT investigations of melt conditioned and filtrated AlSi9Cu3 [1]Open Access Icon
    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.

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