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Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
30.08.2024
Verantwortlich:
Oztoprak, Oguz
Autorinnen / Autoren:
De Biasi, Raffaele; Oztoprak, Oguz; Zanini, Filippo; Carmignato, Simone; Kollmannsberger, Stefan; Benedetti, Matteo
Institutionszugehörigkeit:
S. Kollmannsberger: Bauhaus-Universität Weimar
R. De Biasi and M. Benedetti: University of Trento
F. Zanini and S. Carmignato: University of Padova
Herausgeber:
TUM
Titel:
Fatigue life prediction of AM lattices based on image-based FCM and average strain energy density dataset
Identifikator:
doi:10.14459/2024mp1751465
Enddatum der Datenerzeugung:
25.07.2024
Fachgebiet:
BAU Bauingenieurwesen, Vermessungswesen; MTA Technische Mechanik, Technische Thermodynamik, Technische Akustik
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations; Simulationen / simulations; Abbildungen von Objekten / image of objects; Statistik und Referenzdaten / statistics and reference data; Textdokumente / text documents
Datentyp:
Bilder / images ; Texte / texts; Tabellen / tables; Programme und Anwendungen / software and applications
Methode der Datenerhebung:
The finite cell simulations were performed based on a C++ implementation of the method. An example implementation of the FCM can be found in https://doi.org/10.1016/j.advengsoft.2014.04.004 . The inputs to the simulations are the CT-scan images in nifti format, and the insight toolkit (ITK, https://itk.org/ ) library was used to read the image data. Wolfram Mathematica was used to perform the statistical analysis. ITKSnap ( http://www.itksnap.org/ ) and ParaView ( https://www.paraview.org/ ) were used to work with the CT-scan images.
Beschreibung:
The dataset contains necessary CT-scan image data, description of the tools and simulation outputs as reference. The dataset is used to perform fatigue life estimation based on the Finite Cell Method (FCM), average strain energy density approach and statistical techniques. The folders of the dataset contains README files to guide the reader further with additional metadata.
Schlagworte:
Lattice structures; Fatigue life estimation; Finite Cell Method; Strain Energy Density; micro-ct scanning
Technische Hinweise:
View and download (20,3 GB total, 29 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1751465):
rsync rsync://m1751465@dataserv.ub.tum.de/m1751465/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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