Article Article
Multiscale Mixed Modality Microstructure Assessment for Titanium (M4AT) Data Set

The capability of a material depends on multiscale physical properties. In many cases, state-of-the-art material characterization methods for micro-tomesoscale features require extensive preparation or destructive analysis. These shortcomings limit their use for quality control of component-scale parts, as extensive preparation or destructive analysis are prohibitively expensive or impossible for real-time assessment. One example is the detection and characterization of critical microtexture regions in titanium, where the state-of-the-art sensing method is both damaging and constrained to a laboratory environment. New sensing approaches that achieve the capability of laboratory-based characterization methods without destructive assessment offer promise for manufacturing, inspection, and assembly. A potential solution is to develop novel data fusion algorithms to complement existing nondestructive evaluation (NDE) techniques.



Aldrin, J.C., H.A. Sabbagh, C. Annis, E.B. Shell, J. Knopp, and E.A. Lindgren, 2015, “Assessing Inversion Performance and Uncertainty in Eddy Current Crack Characterization Applications,” AIP Conference Proceedings, Vol. 1650, No. 1, pp. 1873–1883,

Blasch, E., J.S. Tiley, D. Sparkman, S. Donegan, and M. Cherry, M., 2020, “Data Fusion Methods for Materials Awareness” in Proceedings Vol. 11423, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX,

Blasch, E., S. Ravela, and A. Aved (eds.), 2018, Handbook of Dynamic Data Driven Applications Systems, Springer 

Blodgett, M., W. Hassan, and P.B. Nagy, 2000, “Theoretical and Experimental Investigations of the Lateral Resolution of Eddy Current Imaging,” Materials Evaluation, Vol. 58, No. 5, pp. 647–654

Cappola, J., J.-C. Stinville, M.A. Charpagne, P.G. Callahan, M.P. Echlin, T.M. Pollock, A. Pilchak, and M. Kasemer, 2021, “On the Localization of Plastic Strain in Microtextured Regions of Ti-6AL-4v,” Acta Materialia, Vol. 204,

Cherry, M.R., A. Hutson, J.C. Aldrin, and J. Shank, 2018, “Eddy Current Analysis of Cracks Grown from Surface Defects and Non-Metallic Particles,” AIP Conference Proceedings, Vol. 1949, No. 1,

Cherry, M.R., D. Sparkman, A. Pilchak, and L. Homa, 2019, “Characterization of Microtexture Regions in Ti Alloys Using Eddy Current Testing,” AIP Conference Proceedings, Vol. 2102, No. 1,

Cherry, M.R., S. Sathish, R.D. Mooers, A.L. Pilchak, and R. Grandhi, 2017, “Modeling of the Change of Impedance of an Eddy Current Probe Due to Small Changes in Host Conductivity,” IEEE Transactions on Magnetics, Vol. 53, No. 5, pp. 1–10,

Coticˇ, P., Z. Jaglicˇic´, E. Niederleithinger, M. Stoppel, and V. Bosiljkov, 2014, “Image Fusion for Improved Detection of Near-Surface Defects in NDT-CE Using Unsupervised Clustering Methods,” Journal of Nondestructive Evaluation, Vol. 33, No. 3, pp. 384–397,

Dion, J., M. Kumar, and P. Ramuhalli, 2007, “Multi‐Sensor Data Fusion for High-Resolution Material Characterization,” AIP Conference Proceedings, Vol. 894,

Frederick, S.F., 1975, “Texture Assurance in Titanium Using Surface Wave Velocity,” Materials Evaluation, Vol. 33, pp. 213–216

Groeber, M.A., and M.A. Jackson, 2014, “DREAM.3D: A Digital Representation Environment for the Analysis of Microstructure in 3D,” Integrating Materials and Manufacturing Innovation, Vol. 3, pp. 56–72,

Gros, X.E. (ed.), 2001, Applications of NDT Data Fusion, Kluwer Academic Publishers, Boston

Heideklang, R., and P. Shokouhi, 2013, “Application of Data Fusion in Nondestructive Testing (NDT),” Proceedings of the 16th International Conference on Information Fusion, IEEE, 9–12 July, Istanbul, Turkey, pp. 835–841

Herrin, J., N. Cardillo, S. Timm, and T. Rohlfing, 2018, “Flaw Detection Capabilities in Aerospace with Eddy Current Array Technology,” in NDE of Aerospace Materials and Structures 2018, American Society for Nondestructive Testing, pp. 44–52

Horn, D., and W.R. Mayo, 2000, “NDE Reliability Gains from Combining Eddy-Current and Ultrasonic Testing,” NDT & E International, Vol. 33, No. 6, pp. 351–362,

Kahrobaee, S., M.S. Haghighi, and I.A. Akhlaghi, 2018, “Improving Nondestructive Characterization of Dual Phase Steels Using Data Fusion,” Journal of Magnetism and Magnetic Materials, Vol. 458, pp. 317–326,

Katunin, A., P. Przystałka, and A. Wronkowicz, 2014, “Evaluation of Impact Damages in Composites Based on Fusion of Ultrasonic and Optical Images with Optimized Parameters,” Machine Dynamics Research, Vol. 38, No. 3, pp. 33–41

Kocks, U. F., C.N. Tomé, and H.R. Wenk, 1998, Texture and Anisotropy: Preferred Orientations in Polycrystals and Their Effect on Materials Properties, Cambridge University Press

Liu, G., F. Laabs, D. Rehbein, O. Buck, and R.B. Thompson, 1998, “Ultrasonic Monitoring of Recrystallization Textures in Aluminum,” in Review of Progress in Quantitative Nondestructive Evaluation, pp. 1899–1906, Plenum Press, New York,

Liu, Z., D.S. Forsyth, J.P. Komorowski, K. Hanasaki, and T. Kirubarajan, 2007, “Survey: State of the Art in NDE Data Fusion Techniques,” IEEE Transactions on Instrumentation and Measurement, Vol. 56, No. 6, pp. 2435–2451,

Palanichamy, P., and M. Vasudevan, 2003, “Ultrasonic Testing of Annealing Behavior and Texture and Determination of Texture Coefficients in Stainless Steel,” Materials Evaluation, Vol. 61, No. 9, pp. 1020–1025

Pilchak, A.L., J. Shank, J.C. Tucker, S. Srivatsa, P.N. Fagin, and S.L. Semiatin, 2016, “A Dataset for the Development, Verification, and Validation of Microstructure-Sensitive Process Models for Near-Alpha Titanium Alloys,” Integrating Materials and Manufacturing Innovation, Vol. 5, pp. 259–276,

Shyne, J.C., N. Grayeli, and G.S. Kino, 1981, “Nondestructive Evaluation: Microstructural Characterization and Reliability Strategies,” in Proceedings of a Symposium, Pittsburgh, PA, 5–9 October 1980 (eds. O. Buck and S.M. Wolf), pp. 133–140

Silk, M.G., 1981, “Relationships between Metallurgical Texture and Ultrasonic Propagation,” Metal Science, Vol. 15, No. 11–12, pp. 559–565,

Spies, M., and E. Schneider, 1990, “Nondestructive Analysis of Textures in Rolled Sheets by Ultrasonic Techniques,” Texture, Stress, and Microstructure, Vol. 12, No. 4, pp. 219–231,

Spies, M., and K. Salama, 1989, “Texture of Metal-Matrix Composites By Ultrasonic Velocity Measurements,” Research in Nondestructive Evaluation, Vol. 1, No. 2, pp. 99–109,

Schwartz, A.J., M. Kumar, B.L. Adams, and D.P. Field (eds.), 2009, Electron Backscatter Diffraction in Materials Science, 2nd edition, Springer, New York

Wang, C., M. Fan, B. Cao, B. Ye, and W. Li, 2018, “Novel Noncontact Eddy Current Measurement of Electrical Conductivity,” IEEE Sensors Journal, Vol. 18, No. 22, pp. 9352–9359,

Woodfield, A. P., M.D. Gorman, J.A. Sutliff, and R.R. Corderman, 1999, “Effect of Microstructure on Dwell Fatigue Behavior of Ti-6242,” TMS Fall Meeting ’98, Symposium on Fatigue Behavior of Titanium Alloys, 11–15 October 1998, Chicago, IL, GE Aircraft Engines, Cincinnati, OH

Zheng, Y., E. Blasch, and Z. Liu, 2018, Multispectral Image Fusion and Colorization, SPIE Press, Bellingham, Washington


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