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Title:

Fatigue life prediction of AM lattices based on image-based FCM and average strain energy density dataset

Document type:
Forschungsdaten
Publication date:
30.08.2024
Responsible:
Oztoprak, Oguz
Authors:
De Biasi, Raffaele; Oztoprak, Oguz; Zanini, Filippo; Carmignato, Simone; Kollmannsberger, Stefan; Benedetti, Matteo
Author affiliation:
S. Kollmannsberger: Bauhaus-Universität Weimar
R. De Biasi and M. Benedetti: University of Trento
F. Zanini and S. Carmignato: University of Padova
Publisher:
TUM
Identifier:
doi:10.14459/2024mp1751465
End date of data production:
25.07.2024
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; MTA Technische Mechanik, Technische Thermodynamik, Technische Akustik
Resource type:
Experimente und Beobachtungen / experiments and observations; Simulationen / simulations; Abbildungen von Objekten / image of objects; Statistik und Referenzdaten / statistics and reference data; Textdokumente / text documents
Data type:
Bilder / images ; Texte / texts; Tabellen / tables; Programme und Anwendungen / software and applications
Description:
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.
Method of data assessment:
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.
Key words:
Lattice structures; Fatigue life estimation; Finite Cell Method; Strain Energy Density; micro-ct scanning
Technical remarks:
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/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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