Abstract
On the infrared thermography image, an apparent temperature change caused by the relative displacement between moving object and infrared camera is obtained. This paper shows the motion compensation system with the optical-infrared synchronous measurement. Displacement information of the specimen is calculated from the series of optical image using the digital image correlation method. The displacement information on the optical image is reflected to the infrared image by the homography conversion. For obtaining the displacement information by digital image correlation method, random pattern on the surface of measured object is required. In this study, white random pattern was drowned by the sputtering painting method. The motion compensation system was applied to the thermoelastic stress analysis and dissipated energy measurement. It was confirmed that the apparent temperature change and edge effect can be removed by using developed motion compensation system.
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References
T. Sakagami, Remote nondestructive evaluation technique using infrared thermography for fatigue cracks in steel bridges. Fatigue Fract. Eng. Mater. Struct. 38, 755–779 (2015)
T. Sakagami, S. Kubo, E. Tamura, T. Nishimura, Identification of plastic-zone based on double frequency lock-in thermographic temperature measurement, in Proceedings of ICF11 (2005)
P. Bremond, P. Potet, Lock-in thermography: a tool to analyze and locate thermomechanical mechanism in materials and structure. Proc. SPIE 4360, 560–566 (2001)
M.P. Luong, Infrared thermographic scanning of fatigue in metals. Nucl. Eng. Des. 158, 363–376 (1995)
G. La Rosa, A. Risitano, Thermographic methodology for rapid determination of the fatigue limit of materials and mechanical components. Int. J. Fatigue 22(1), 65–73 (2000)
J.–.C. Krapez, D. Pacou, Thermography detection of damage initiation during fatigue tests. Proc. SPIE 4710, 435–449 (2002)
K. Hayabusa, K. Inaba, H. Ikeda, K. Kishimoto, Estimation of fatigue limits from temperature data measured by IR thermography. Exp. Mech. 57(2), 185–194 (2017)
D. Shiozawa, T. Inagawa, T. Washio, T. Sakagami, Accuracy improvement in dissipated energy measurement by using phase information. Meas. Sci. Technol. 28(4), 044004 (2017)
T. Sakagami, N. Yamaguchi, S. Kubo, T. Ninimura, A new full-field motion compensation technique for infrared stress measurement using digital image correlation. J. Strain Anal. Eng. Des. 43, 539 (2008)
D. Chen, S. Sun, J.M. Dulieu-Barton, Q. Li, W. Wang, Crack growth analysis in welded and non-welded T-joints based on lock-in digital image correlation and thermoelastic stress analysis. Int. J. Fatigue 110, 172–185 (2018)
W. Wang, R.K. Fruehmann, J.M. Dulieu-Barton, Application of digital image correlation to address complex motions in thermoelastic stress analysis. Strain 51, 405–418 (2015)
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Uchid, Y., Shiozawa, D., Hori, M., Kobayashi, K., Sakagami, T. (2020). Accuracy Improvement of Thermoelastic Stress and Dissipation Energy Measurement by Motion Compensation with Optical-Infrared Synchronous Measurement. In: Baldi, A., Kramer, S., Pierron, F., Considine, J., Bossuyt, S., Hoefnagels, J. (eds) Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-030-30098-2_25
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DOI: https://doi.org/10.1007/978-3-030-30098-2_25
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