Robo-Met Publications in 2018

January 16, 2019

Robo-Met Product Icon2018 brought plenty of publications featuring Robo-Met.3D® material testing technology! Take a look at some of the 3D material characterization 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.


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Read also: Robo-Met Publications in 2019


Additive Manufacturing

  1. Sundar, V., Turner, B., Ganti, S., & Davis, W. (2018). Light Optical Microscopy Based Automated 3D Serial Sectioning Enables Defect Analysis in Large Volumes of Additively Manufactured Alloy SamplesMicroscopy and Microanalysis24(S1), 554-555.

  2. Rowenhorst, D. J., Nguyen, L., & Fonda, R. W. (2018). 3D Analysis of Large Volumes Through Automated Serial SectioningMicroscopy and Microanalysis24(S1), 552-553.

Structural Metals

  1. Na, T. W., Cho, D. H., Park, C. S., Park, J. T., Han, H. N., & Hwang, N. M. (2018). Comparison of three-dimensional morphologies of abnormally growing grains between Monte Carlo simulations and experiments of Fe-3% Si steelMaterials Characterization144, 239-246.
  2. Lee, Y. S., Cha, J. H., Kim, S. H., Lim, C. Y., Kim, H. W., & Kim, H. S. (2018). Modification of eutectic Mg2Si in AlMg5Si2Mn alloy by pre-homogenization deformation treatment with different reduction conditionsMaterials Characterization141, 388-397.
  3. Jung, J. G., Ahn, T. Y., Cho, Y. H., Kim, S. H., & Lee, J. M. (2018). Synergistic effect of ultrasonic melt treatment and fast cooling on the refinement of primary Si in a hypereutectic Al–Si alloyActa Materialia144, 31-40.
  4. Kim, M. S., Kim, S. H., & Kim, H. W. (2018). Deformation-induced center segregation in twin-roll cast high-Mg Al–Mg stripsScripta Materialia152, 69-73.
  5. Turner, Bryan, Satya Ganti, Bill Davis, and Veeraraghavan Sundar. Automated Optical Serial Sectioning Analysis of Phases in a Medium Carbon SteelTMS Annual Meeting & Exhibition, pp. 453-459. Springer, Cham, 2018.

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 process. AIP Conference Proceedings (Vol. 1949, No. 1, p. 020024). AIP Publishing.

Composites (CMC/PMC)

  1. Hakim, I., Schumacher, D., Sundar, V., Donaldson, S., Creuz, A., Schneider, R., & Meyendorf, N. (2018, April). Volume imaging NDE and serial sectioning of carbon fiber composites. AIP Conference Proceedings (Vol. 1949, No. 1, p. 120003). AIP Publishing.
  2. Wallentine, S. M., & Uchic, M. D. (2018, April). A study on ground truth data for impact damaged polymer matrix composites. AIP Conference Proceedings (Vol. 1949, No. 1, p. 120002). AIP Publishing.
  3. Yu, H., Guo, D., Yan, Z., Liu, W., Simmons, J., Przybyla, C. P., & Wang, S. (2018). Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material ImagesarXiv preprint arXiv:1805.10256.
  4. Yu, H., Sun, Y., Zhou, Y., Simmons, J., Przybyla, C. P., & Wang, S. (2018). Simultaneous Tracking and Registration in SiC/SiC Serial Section ImagesMicroscopy and Microanalysis24(S1), 570-571.

Bearings and Welds

  1. King, D. S., Watts, J. L., Cissel, K. S., Kadhim, A. H., Hilmas, G. E., & Fahrenholtz, W. G. (2018). Solidification of welded SiC–ZrB2–ZrC ceramicsJournal of the American Ceramic Society.
  2. Wang, T., Komarasamy, M., Liu, K., & Mishra, R. S. (2018). Friction stir butt welding of strain-hardened aluminum alloy with high strength steelMaterials Science and Engineering: A737, 85-89.
  3. Ganti, S., Turner, B., Kirsch, M., Anthony, D., McCoy, B., Trivedi, H., & Sundar, V. (2018). Three-dimensional (3D) analysis of white etching bands (WEBs) in AISI M50 bearing steel using automated serial sectioningMaterials Characterization.

 Robo-Met Mentions

  1. Mücklich, F., Engstler, M., Britz, D., & Gola, J. (2018). Serial Sectioning Techniques–a Versatile Method for Three-Dimensional Microstructural ImagingPractical Metallography55(8), 569-578.
  2. Cooper, A. J., Tuck, O. C. G., Burnett, T. L., & Sherry, A. H. (2018). A statistical assessment of ductile damage in 304L stainless steel resolved using X-ray computed tomographyMaterials Science and Engineering: A728, 218-230.
  3. Ales, T. K. (2018). An integrated model for the probabilistic prediction of yield strength in electron-beam additively manufactured Ti-6Al-4V.
  4. Madej, L., Legwand, A., Mojzeszko, M., Chraponski, J., Roskosz, S., & Cwajna, J. (2018). Experimental and numerical two-and three-dimensional investigation of porosity morphology of the sintered metallic materialArchives of Civil and Mechanical Engineering18(4), 1520-1534.
  5. Bagri, A., Weber, G., Stinville, J. C., Lenthe, W., Pollock, T., Woodward, C., & Ghosh, S. (2018). Microstructure and property-based statistically equivalent representative volume elements for polycrystalline Ni-based superalloys containing annealing twinsMetallurgical and Materials Transactions A49(11), 5727-5744.

Read also: Robo-Met Publications in 2017


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