Scanned Image Data from 3D-Printed Specimens Using Fused Deposition Modeling
AbstractThis dataset provides high-resolution 2D scans of 3D printed test objects (dog-bone), derived from EN ISO 527-2:2012. The specimens are scanned in resolutions from 600 dpi to 4800 dpi utilising a Konica-Minolta bizHub 42 and Canon LiDE 210 scanner. The specimens are created to research the influence of the infill-pattern orientation; The print orientation on the geometrical fidelity and the structural strength. The specimens are printed on a MakerBot Replicator 2X 3D-printer using yellow (ABS 1.75 mm Yellow, REC, Moscow, Russia) and purple ABS plastic (ABS 1.75 mm Pink Lion&Fox, Hamburg, Germany). The dataset consists of at least one scan per specimen with the measured dimensional characteristics. For this, software is created and described within this work. Specimens from this dataset are either scanned on blank white paper or on white paper with blue millimetre marking. The printing experiment contains a number of failed prints. Specimens that did not fulfil the expected geometry are scanned separately and are of lower quality due to the inability to scan objects with a non-flat surface. For a number of specimens printed sensor data is acquired during the printing process. This dataset consists of 193 specimen scans in PNG format of 127 objects with unadjusted raw graphical data and a corresponding, annotated post-processed image. Annotated data includes the detected object, its geometrical characteristics and file information. Computer extracted geometrical information is supplied for the images where automated geometrical feature extraction is possible. View Full-Text
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Description: Dataset from experiment on infill and printing orientation for its influence on surface quality, object stability and geometrical fidelity. FDM 3D printed specimens ("dogbone") with ABS plastics, scanned on a Canon LiDE 210 scanning device with resolutions between 600 and 4800 DPI. Supplemental Material.
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Baumann, F.W.; Eichhoff, J.R.; Roller, D. Scanned Image Data from 3D-Printed Specimens Using Fused Deposition Modeling. Data 2017, 2, 3.
Baumann FW, Eichhoff JR, Roller D. Scanned Image Data from 3D-Printed Specimens Using Fused Deposition Modeling. Data. 2017; 2(1):3.Chicago/Turabian Style
Baumann, Felix W.; Eichhoff, Julian R.; Roller, Dieter. 2017. "Scanned Image Data from 3D-Printed Specimens Using Fused Deposition Modeling." Data 2, no. 1: 3.
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