Development and characterization of embedded sensory particles using multi-scale 3d digital image correlation

ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014

Volumn 2, Issue , 2014, Pages

  Cornell, Stephen R ^a   Leser, William P ^b   Hochhalter, Jacob D ^b   Newman, John A ^b   Hartl, Darren J ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

^b NASA LANGLEY RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE OPTICS; ALUMINUM ALLOYS; CRACK DETECTION; DIGITAL IMAGE STORAGE; FATIGUE CRACK PROPAGATION; FATIGUE OF MATERIALS; IMAGE ANALYSIS; INTELLIGENT SYSTEMS; LINEAR TRANSFORMATIONS; MARTENSITIC TRANSFORMATIONS; METALLIC MATRIX COMPOSITES; NASA; OPTICAL CORRELATION; PHASE TRANSITIONS; SHAPE MEMORY EFFECT; STRAIN MEASUREMENT;

3D DIGITAL IMAGE CORRELATIONS; 7050 ALUMINUM ALLOY; MARTENSITIC PHASE TRANSFORMATIONS; NASA LANGLEY RESEARCH CENTER; NITI SHAPE MEMORY ALLOYS; PARTICLE DEBONDING; PHASE TRANSFORMATION BEHAVIOR; SINGLE EDGE NOTCHES;

CRACKS;

EID: 84920077673     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/SMASIS20147608     Document Type: Conference Paper

References (11)

1. Berfield, T., Patel, J., Shimmin, R., Braun, P., Lambros, J., and Sottos, N. (2007). Micro-and nanoscale deformation measurement of surface and internal planes via digital image correlation. Experimental Mechanics, 47:51-62.
2. Bogdanoff, P. and Fultz, B. (2001). The role of phonons in the thermodynamics of the martensitic transformation in NiTi. Philosophical Magazine B: Physics of Condensed Matter; Statistical Mechanics, Electronic, Optical and Magnetic Properties, 81:299-311.
3. Correlated Solutions, Inc. (2014). www.correlatedsolutions.com.
4. Gupta, V. K., Willard, S. A., Hochhalter, J. D., and Smith, S. W. (2014). Microstructure-scale in-situ correlation-based study of grain deformation and crack tip displacements in al-cu alloys. Materials Performance and Characterization, In Review.
5. 3 ferroelectric ceramics. Japanese Journal of Applied Physics, Part 1: Regular Papers and Short Notes and Review Papers, 43:7556 - 7559.
6. Kammers, A. and Daly, S. (2011). Small-scale patterning methods for digital image correlation under scanning electron microscopy. Measurement Science and Technology, 22:125501.
7. Karaca, H., Karaman, I., Basaran, B., Chumlyakov, Y., and Maier, H. (2006). Magnetic field and stress induced martensite reorientation in NiMnGa ferromagnetic shape memory alloy single crystals. Acta Materialia, 54:233-245.
8. Li, N., Guo, S., and Sutton, M. A. (2011). Recent progress in e-beam lithography for SEM patterning. In MEMS and Nanotechnology, Volume 2, pages 163-166. Springer.
9. Nechval, N., Nechval, K., Purgailis, M., and Strelchonok, V. (2011). Planning inspections in the case of damage tolerance approach to service of fatigued aircraft structures. International Journal of Performability Engineering, 7.
10. Scrivens, W., Luo, Y., Sutton, M., Collette, S., Myrick, M., Miney, P., Colavita, P., Reynolds, A., and Li, X. (2007). Development of patterns for digital image correlation measurements at reduced length scales. Experimental Mechanics, 47:63-77.
11. Sutton, M. A., Orteu, J.-J., and Schreier, H. W. Image correlation for shape, motion and deformation measurements: basic concepts, theory and applications. Springer, New York, NY (2009).