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IJSTR >> Volume 9 - Issue 2, February 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Experimental Evaluation Of Surface Strain Measurement By Digital Image Correlation Based Subpixel Registration Technique

[Full Text]



S. Agnes Shifani, M.S. Godwin Premi



Sub pixel registration, strain, displacement, Ncorr, DIC



The development of Digital Image Correlation (DIC) have created a popular, attractive factor for full-field displacement and measuring strain. Inspite of its improvement, it is sufficiently used as a post-processing factor because of its computational cost and accuracy. In recent years, many researchers proposed new algorithms to improve the accuracy and speed using DIC. The objective of this work focus on subset image size and selection of seed points using image registration process along with average gradient of corner feature. With the help of image correlation method in strain measurement is executed from its first step of setting reference image, deformed images with different loads, matching the sub pixel location, selection of seed point to obtain strain field on surface under this research. The procedure of DIC method in utilizing open source platform Ncorr. Finally, the experimental output validation is evaluated from strain measurement and the result compared with strain value from UTM via tensile test. The strain from both strain gauge and DIC shows that the deviation is not exceeding more than 0.05 pixels.



[1] McCormick, N. and Lord, J., 2010. Digital image correlation. Materials Today 13(12), pp. 52 – 54.
[2] Jones,E.M.C.,Silberstein,M.N.,White,S.R.andSottos,N.R., 2014. In situ measurements of strains in composite battery electrodes during electrochemical cycling. Experimental Mechanics 54(6), pp. 971–985
[3] Pan, Bing, Kemao Qian, Huimin Xie, and Anand Asundi. "Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review." Measurement science and technology 20, no. 6 (2009): 062001.
[4] Jones, Elizabeth Moine Cler. "Mechanics of lithium-ion battery electrodes." PhD diss., University of Illinois at Urbana-Champaign, 2015.
[5] Agnes shifani et al, Identification of Bone fragmentation in X-ray images using contour detection algorithm, IJITEE, Vol-8, July 2019
[6] Justin Blaber, Antonia Antoniou, Ncorr Instruction Manual Version 1.2.1, 2015, Georgia Institute of Technology
[7] Pan, Bing & Xie, Huimin & Wang, Zhaoyang & Qian, Kemao & Wang, Zhiyong. (2008). Study on subset size selection in digital image correlation for speckle patterns. Optics express. 16. 7037-48. 10.1364/OE.16.007037.
[8] Dr. Daei Sorkhabi A. H., Eng. Vahdat Panahi Shokouh V., Eng. Parsa Khanghah S, “Determining of strain ratio in tensile test using by image processing” Scientific proceedings XII international congress "machines, technolоgies, materials" 2015
[9] Bernardes de Assis, Ellon & Junior, Francisco. (2017). Development of Digital Image Correlation tool to determine displacements and strains in mechanical testing. 10.20906/CPS/CILAMCE2017-1207.
[10] F. Ab Ghani, M. B. Ali, S. DharMalingam, and J. Mahmud,”Digital Image Correlation (DIC) Technique In Measuring Strain Using Opensource Platform Ncorr” Journal of Advanced Research in Applied Mechanics, Vol. 26, No. 1. Pages 10-21, 2016
[11] Neil.A.Hoult,”Experimental Accuracy of 2D strain measurement using DIC”,Engineering structures,vol 46,2013,page no. 718-726.
[12] S. A. Shifani, et al, "A Review on Strain Measurement in Bone Mechanics Using Various Techniques," 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Coimbatore, 2017, pp. 1-5.
[13] Min, HyeonGyu & On, Han-Ik & Kang, Dong & Park, Jun-Hyub. (2019). Strain measurement during tensile test using deep learning based digital image correlation(DDIC). Measurement Science and Technology. 10.1088/1361-6501/ab29d5.
[14] Y. Huang, J. Ji and K. Lee, "Model-Based Digital Image Correlation for Noncontact Deformation Measurement of Strain Field and Mechanical Property," in IEEE Transactions on Industrial Informatics, vol. 15, no. 9, pp. 5109-5118, Sept. 2019
[15] Thiagu M., Subramanian S.J., Nasre R. (2019) Fast, Sub-pixel Accurate Digital Image Correlation Algorithm Powered by Heterogeneous (CPU-GPU) Framework. In: Lamberti L., Lin MT., Furlong C., Sciammarella C., Reu P., Sutton M. (eds) Advancement of Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham
[16] Rashid B., Destrade M., Gilchrist M.D., 2014, Mechanical characterization of brain tissue in tension at dynamic strain rates. Journal of the Mechanical Behavior of Biomedical Materials, Special Issue on Forensic Biomechanics, 33, 43–54
[17] Bagheri Z.S., El Sawi I., Bougherara H., Zdero R., 2015, Biomechanical fatigue analysis of an advanced new carbon fiber/flax/epoxy plate for bone fracture repair using conventional fatigue tests and thermography. Journal of the Mechanical Behavior of Biomedical Materials 35, 27–38
[18] PanB,LiK,TongW(2013)Fast, robust and accurate digital image correlation calculation without redundant computation. Exp Mech 53:1277–1289