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CoCr AM XCT data

High-Resolution X-ray computed tomography (XCT) image data set of additively manufactured cobalt chrome samples produced with varying laser powder bed fusion processing parameters

Felix H. Kim1,*, Edward J. Garboczi2, Shawn P. Moylan1, and John Slotwinski3

  1. National Institute of Standards and Technology, Gaithersburg, MD
  2. National Institute of Standards and Technology, Boulder, CO
  3. Johns Hopkins University, Applied Physics Laboratory, Laurel, MD

*Corresponding author: Felix H. Kim, [at] (felix[dot]kim[at]nist[dot]gov)



This folder contains 5 zipped tiff image folders, one for each sample, and this document. The images in each folder are the original 16-bit XCT reconstructed images. ‘setn’ in the file name represents the sample set and ‘samplen’ represents the sample number, which are consistent with the sample descriptions in previous publications [1, 2]. The final trailing -n represents the number of the image in the stack where higher number is toward the top of the sample.

All image data were collected using the following nominal conditions. Minor variation with geometric magnifications occurred for different samples, which resulted in small variations in voxel sizes for different samples. An optical magnification of 4x was used for all samples (the Versa CRM 500 uses a combination of optical and geometric magnification). Exposure time also varied among  the different samples. These sample-dependent image acquisition parameters are listed in Table 1. Three significant digits for voxel size were reported.

  • System: ZEISS Versa 500
  • Source voltage:  155 kV
  • Source power: 10W
  • Filter: HE6

Table 1: Image size and voxel size of XCT data sets


Number of images in the dataset

Image dimension (voxel)

Voxel size (µm)




980 × 1010





988 × 1013


160 kV used



984 × 1010





984 × 1010





984 × 1013


160 kV used

Download Data Set


[1] Kim, F. H., Moylan, S. P., Garboczi, E. J., and Slotwinski, J. A., 2017, "Investigation of pore structure in cobalt chrome additively manufactured parts using X-ray computed tomography and three-dimensional image analysis," Additive Manufacturing, 17, pp. 23-38.

[2] Slotwinski, J. A., Garboczi, E. J., and Hebenstreit, K. M., 2014, "Porosity Measurements and Analysis for Metal Additive Manufacturing Process Control," Journal of Research of the National Institute of Standards and Technology, 119, pp. 494-528.


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Created December 11, 2019, Updated December 13, 2019