XCT data of metallic feedstock powder with pore size analysis
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<strong>X-Ray computed tomography (XCT) scan of 11 individual metallic powder particles, made of (Mn,Fe)<sub>2</sub>(P,Si) alloy</strong> The data set consists of 4 single XCT scans which have been stitched together [3] after reconstruction.<br> The powder material is an (Mn,Fe)<sub>2</sub>(P,Si) alloy with an average density of 6.4 g/cm³. The particle size range is about 100 - 150 µm with equivalent pore diameters up to 75 µm. The powder and the metallic alloy are described in detail in [1, 2]. <strong>Data acquisition</strong> The data was acquired using a Zeiss Xradia 620 Versa X-ray microscope which provides the opportunity of optical magnification. <strong>Tomographic imaging parameters</strong> XCT system Zeiss Xradia 620 Versa Voltage 80 kV Power 10 W Source filtering "<em>LE2</em>" (system specific) - Source-object distance 10 mm Object-detector distance 10 mm Geom. magnification 2 - Optical magnification 20 - Native pixel size 13.5 µm Binning 2x2 px Voxel size 0.68 µm No. of projections per scan 801 1 No. of scans 4 - Exposure time per projection 5 s <strong>Projection data</strong> (801 single TIFF-files each): proj_00 proj_01 proj_02 proj_03 <strong>Reconstructed data</strong>: raw-volume (MnFePSi-Powder_80kV_10W_LE2_20x_5s_801_0p68_BHC=2_Stitch_U16_966x1020x2916.raw + header.txt) analyzed data as Volume Graphics Studio MAX 3.4.5 project <strong>Stitched 2D data</strong> (images stitched with ImageJ-Plugin described in [3]<strong>:</strong> Stitched_0deg_Projections.tif Pores+Particles_Analysis.tif [1] G.-R. Jaenisch, U. Ewert, A. Waske, and A. Funk, “Radiographic Visibility Limit of Pores in Metal Powder for Additive Manufacturing,” Metals, vol. 10, no. 12, p. 1634, Dec. 2020. https://doi.org/10.3390/met10121634 [2] X. Miao et al., “Printing (Mn,Fe)2(P,Si) magnetocaloric alloys for magnetic refrigeration applications,” J. Mater. Sci., vol. 55, no. 15, pp. 6660–6668, May 2020. https://doi.org/10.1007/s10853-020-04488-8 [3] S. Preibisch, S. Saalfeld, and P. Tomancak, “Globally optimal stitching of tiled 3D microscopic image acquisitions,” Bioinformatics, vol. 25, no. 11, pp. 1463–1465, Jun. 2009.
