Robo-Met Publications in 2017

January 04, 2018

Robo-Met Product Icon2017 was a good year for publications featuring Robo-Met.3D® materials characterization! Check out the 3D materials analysis system's applications in the past year, from analyzing additively manufactured alloys, to structural metal testing, to verifying non-destructive testing, to composite testing, to materials analysis for bearings and welds. You'll also find a few articles where Robo-Met was mentioned among other material analysis techniques at the bottom of the article.


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Additive Manufacturing

  1. Ganti, S., Velez, M., Geier, B., Hayes, B., Turner, B., & Jenkins, E. (2017). A Comparison of porosity analysis using 2D stereology estimates and 3D serial sectioning for additively manufactured Ti 6Al 2Sn 4Zr 2Mo alloyPractical Metallography54(2), 77-94. 

  2. Everton, S., Dickens, P., Tuck, C., Dutton, B., & Wimpenny, D. (2017). The Use of Laser Ultrasound to Detect Defects in Laser Melted Parts. In TMS 2017 146th Annual Meeting & Exhibition Supplemental Proceedings (pp. 105-116). Springer, Cham.

Structural Metals

  1. Turner, B., Ganti, S., Sundar, V., & Davis, B. (2017). Three Dimensional Optical Microstructure Analysis of Ferrite and Pearlite Phases in a Medium Carbon SteelMicroscopy and Microanalysis23(S1), 18-19.

  2. Lee, Y. S., Cha, J. H., Kim, S. H., Lim, C. Y., & Kim, H. W. (2017). Effect of pre-homogenization deformation treatment on the workability and mechanical properties of AlMg5Si2Mn alloyMaterials Science and Engineering: A685, 244-252.

  3. Nguyen, L. T., & Rowenhorst, D. J. (2017). Accelerating 3D Microstructure Acquisition via Fully Automated Serial SectioningMicroscopy and Microanalysis23(S1), 354-355.

 Non-Destructive Testing

  1. Schumacher, D., Meyendorf, N., Hakim, I., & Ewert, U. (2018, April). Defect recognition in CFRP components using various NDT methods within a smart manufacturing processAIP Conference Proceedings (Vol. 1949, No. 1, p. 020024). AIP Publishing.

 Composites (CMC/PMC)

  1. Levinson, A. J., Rowenhorst, D. J., Sharp, K. W., Ryan, S. M., Hemker, K. J., & Fonda, R. W. (2017). Automated methods for the quantification of 3D woven architecturesMaterials Characterization124, 241-249.

  2. Yu, H., Simmons, J., Przybyla, C. P., & Wang, S. (2017). On-the-Fly Performance Evaluation of Large-Scale Fiber TrackingElectronic Imaging2017(17), 142-147.

 Bearings, Coatings, and Welds

  1. Madison, J. D., Underwood, O. D., Poulter, G. A., & Huffman, E. M. (2017). Acquisition of real-time operation analytics for an automated serial sectioning systemIntegrating Materials and Manufacturing Innovation6(2), 135-146.

  2. Brake, M. R., Hall, A. C., & Madison, J. D. (2017). Designing energy dissipation properties via thermal spray coatingsSurface and Coatings Technology310, 70-78.

  Robo-Met Mentions

  1. Monteiro, S. N., & Paciornik, S. (2017). From Historical Backgrounds to Recent Advances in 3D Characterization of Materials: An OverviewJOM69(1), 84-92.

  2. Miller, J. E., Strangwood, M., Steinbach, S., & Warnken, N. (2017). Skeletonisation to Find the Centre of Dendrites Traced from a 2D Microstructural ImageSolidification Processing2017.

    Mills, M. M., & Kuhlman, K. L. (2017). Laboratory Testing Approach for Intermediate Scale Borehole Heater Test (No. SAND2017-5487C). Sandia National Lab.(SNL-NM), Albuquerque, NM (United States).

  3. Madej, L. (2017). Digital/virtual microstructures in application to metals engineering–A reviewArchives of Civil and Mechanical Engineering17(4), 839-854.

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