Data for "Low-cycle fatigue of laser powder bed fusion-processed AlSi10Mg using recycled powder: Experiments and machine learning-assisted lifetime prediction"
收藏资源简介：
Title of dataset: Data for "Low-cycle fatigue of laser powder bed fusion-processed AlSi10Mg using recycled powder: Experiments and machine learning-assisted lifetime prediction".Name/institution/contact information: Dr. Michal Bartošák, Czech Technical University in Prague - Faculty of Mechanical Engineering, email: michal.bartosak@fs.cvut.cz; Dr. Ivo Šulák, Czech Academy of Sciences, Institute of Physics of Materials, email: sulak@ipm.cz.Date of data collection: The data were collected from during 2023.File name structure: The data within the folder "defects" contains information on the defect characteristics of 8 specimens of additively manufactured AlSi10Mg aluminum alloy. The data within the folder "fatigue life" contains information on the fatigue lifetime of 8 specimens of additively manufactured AlSi10Mg aluminum alloy. See https://doi.org/10.1016/j.matdes.2025.113926 for the associated article and a detailed description of the methods.
