PBF-LB/M Ti6Al4V micrographs and labeled manufacturing defects

<p><strong>Desciption:</strong></p> <p>This dataset contains 775 micrographs of laser additive manufactured Ti6Al4V. Further the dataset contains 1200 labeled binary images of defects classified in lack of fusion (400), keyhole (400) and process pores (400). Additional local extracted features are added as csv File.</p> <p>To all of the 757 micrographs are the process parameter combinations included, also for those which couldn&acute;t be built.</p> <p>The process parameters were created randomly and equally distributed in between limits. The layer thicknesses included are 25 &micro;m, 50 &micro;m, 75 &micro;m and 100 &micro;m. Further the laser power, the hatch distance and the scan speed were changed. The build platform temperature was set to 200 &deg;C.</p> <p>All specimens were printed an a SLM 125 HL by SLM Solutions with CL 41 Ti ELI powder by Concept Laser.</p> <p>&nbsp;</p> <p><strong>Author Contributions: </strong>Conceptualisation S.M., M.L.A., L.M., A.T.; methodology for (randomised) test series: M.L.A., L.M., S.M.; data creation, printing and imaging: L.M., S.M., T.B.; defect data labeling: M.L.A., T.B.; defect feature extraction: M.L.A.; supervision: A.T.; funding acqusition : A.T.</p> <p><strong>Funding: </strong>This work is funded by the University of Bremen Research Alliance (UBRA) AI Center for Healthcare within the project ENABLE.</p>