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Application of mixed-nanoparticle coating as a novel simple method in generating speckle pattern to study small fields of view by digital image correlation

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Digital image correlation (DIC) is a powerful full-field displacement measurement technique that has been used in various studies. The first step in the DIC is to create a random speckle pattern, where the spraying method is usually employed. However, creating an optimal pattern and modification in the spraying method is not convenient. Furthermore, the size of speckles which is not so small in spraying method, limits the minimum size of the field of study. In the present research, a convenient novel technique was introduced and investigated to generate a practical kind of speckle pattern with small speckles for evaluating smaller fields of view using nanoparticles. The pattern was created by spreading a mixture of different black and white nanoparticles. To this end, the black graphene oxide particles were mixed with white nanoparticles of titanium oxide, zirconium oxide and silicon to obtain three mixtures. Displacement tests show that the mixture of graphene and titanium provides the best DIC performance. More granularly, graphene and titanium were mixed at three different ratios to find the optimal combination. Subsequently, the accuracy of the new patterning method was analyzed via tensile testing and the results were compared against those of conventional method with various subset sizes.
Rocznik
Strony
45--58
Opis fizyczny
Bibliog. 34 poz., rys., tab.
Twórcy
  • School of Mechanical Engineering, Collegeof Engineering, University of Tehran, Iran
  • School of Mechanical Engineering, Collegeof Engineering, University of Tehran, Iran
  • School of Mechanical Engineering, Collegeof Engineering, University of Tehran, Iran
Bibliografia
  • 1] M. Abshirini, N. Soltani, and P. Marashizadeh. On the mode I fracture analysis of cracked Brazilian disc using a digital image correlation method. Optics and Lasers in Engineering, 78:99–105, 2016. doi: 10.1016/j.optlaseng.2015.10.006.
  • [2] M. Sahlabadi and N. Soltani. Experimental and numerical investigations of mixed-mode ductile fracture in high-density polyethylene. Archive of Applied Mechanics, 88(6):933–942, 2018. doi: 10.1007/s00419-018-1350-5.
  • [3] M.R.Y. Dehnavi, I. Eshraghi, and N. Soltani. Investigation of fracture parameters of edge Vnotches in a polymer material using digital image correlation. Polymer Testing, 32(4):778–784, 2013. doi: 10.1016/j.polymertesting.2013.03.012.
  • [4] N.S. Ha, V.T. Le, and S.G. Goo. Investigation of fracture properties of a piezoelectric stack actuator using the digital image correlation technique. International Journal of Fatigue, 101(1):106–111, 2017. doi: 10.1016/j.ijfatigue.2017.02.020.
  • [5] B. Pan. Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals. Measurement Science and Technology, 29(8):082001, 2018. doi: 10.1088/1361-6501/aac55b.
  • [6] Y.L. Dong and B. Pan. A review of speckle pattern fabrication and assessment for digital image correlation. Experimental Mechanics, 57(8):1161–1181, 2017. doi: 10.1007/s11340-017-0283-1.
  • [7] N.S. Ha, T.L. Jin, N.S. Goo, and H.C. Park. Anisotropy and non-homogeneity of an Allomyrina Dichotoma beetle hind wing membrane. Bioinspiration and Biomimetics, 6(4):046003, 2011. doi: 10.1088/1748-3182/6/4/046003.
  • [8] T. Jin,N.S. Ha,V.T. Le,N.S. Goo, and H.C. Jeon. Thermal buckling measurement of a laminated composite plate under a uniform temperature distribution using the digital image correlation method. Composite Structures, 123:420–429, 2015. doi: 10.1016/j.compstruct.2014.12.025.
  • [9] T.L. Jin,N.S. Ha, andN.S. Goo.Astudy of the thermal buckling behavior of a circular aluminum plate using the digital image correlation technique and finite element analysis. Thin-Walled Structures, 77:187–197, 2014. doi: 10.1016/j.tws.2013.10.012.
  • [10] N.S. Ha, V.T. Le, and N.S. Goo. Thermal strain measurement of austin stainless steel (SS304) during a heating-cooling process. International Journal of Aeronautical and Space Sciences, 18(2):206-214, 2017. doi: 10.5139/ijass.2017.18.2.206.
  • [11] N.S. Ha, H.M. Vang, andN.S. Goo. Modal analysis using digital image correlation technique: an application to artificial wing mimicking beetle’s hind wing. Experimental Mechanics, 55:989– 998, 2015. doi: 10.1007/s11340-015-9987-2.
  • [12] T. Sadowski and M. Knec. Application of DIC techniques for monitoring of deformation process of spr hybrid joints. Archives of Metallurgy and Materials, 58(1):119–125, 2013. doi: 10.2478/v10172-012-0161-x.
  • [13] W.H. Peters and W.F. Ranson. Digital imaging techniques in experimental stress analysis. Optical Engineering, 21(3):427–431, 1982. doi: 10.1117/12.7972925.
  • [14] W.H. Peters, W.F. Ranson, M.A. Sutton, T.C. Chu, and J. Anderson. Application of digital correlation methods to rigid body mechanics. Optical Engineering, 22(6):738–742, 1983. doi: 10.1117/12.7973231.
  • [15] M.A. Sutton, W.J. Wolters, W.H. Peters, W.F. Ranson, and S.R. McNeill. Determination of displacements using an improved digital correlation method. Image and Vision Computing, 1(3)133–139, 1983. doi: 10.1016/0262-8856(83)90064-1.
  • [16] T.C. Chu, W.F. Ranson, and M.A. Sutton. Applications of digital-image-correlation techniques to experimental mechanics. Experimental Mechanics, 25(3):232–244, 1985. doi: 10.1007/BF02325092.
  • [17] J.S. Lyons, J. Liu, and M.A. Sutton. High-temperature deformation measurements using digitalimage correlation. Experimental Mechanics, 36(1):64–70, 1996. doi: 10.1007/BF02328699.
  • [18] T.A. Berfield, J.K. Patel, R.G. Shimmin, P.V. Braun, J. Lambros, and N.R. Sottos. Micro- and nanoscale deformation measurement of surface and internal planes via digital image correlation. Experimental Mechanics, 47(1):51–62, 2007. doi: 10.1007/s11340-006-0531-2.
  • [19] Y. Dong, H. Kakisawa, and Y. Kagawa. Development of microscale pattern for digital image correlation up to 1400°C. Optics and Lasers in Engineering, 68:7–15, 2015. doi: 10.1016/j.optlaseng.2014.12.003.
  • [20] T. Niendorf, C. Burs, D. Canadinc, and H.J. Maier. Early detection of crack initiation sites in TiAl alloys during low-cycle fatigue at high temperatures utilizing digital image correlation. International Journal of Materials Research, 100(4):603–608, 2009. doi: 10.3139/146.110064.
  • [21] M.A. Sutton, X. Ke, S.M. Lessner, M. Goldbach, M. Yost, F. Zhao, and H.W. Schreier. Strain field measurements on mouse carotid arteries using microscopic three-dimensional digital image correlation. Journal of Biomedical Materials Research Part A, 84A(1):178–190, 2007. doi: 10.1002/jbm.a.31268.
  • [22] A.D. Kammers and S. Daly. Self-assembled nanoparticle surface patterning for improved digital image correlation in a scanning electron microscope. Experimental Mechanics, 53(8):1333–1341, 2013. doi: 10.1007/s11340-013-9734-5.
  • [23] K.N. Jonnalagadda, I. Chasiotis, S. Yagnamurthy, J. Lambros, J. Pulskamp, R. Polcawich, and M Dubey. Experimental investigation of strain rate dependence of nanocrystalline Pt films. Experimental Mechanics, 50(1):25–35, 2010. doi: 10.1007/s11340-008-9212-7.
  • [24] W.A. Scrivens, Y. Luo, M.A. Sutton, S.A. Collette, M.L. Myrick, P. Miney, P.E. Colavita, A.P. Reynolds, and X. Li. Development of patterns for digital image correlation measurements at reduced length scales. Experimental Mechanics, 47(1):63–77, 2007. doi: 10.1007/s11340-006-5869-y.
  • [25] N. Li, M.A. Sutton, X. Li, and H.W. Schreier. Full-field thermal deformation measurements in a scanning electron microscope by 2D digital image correlation. Experimental Mechanics, 48(5):635–646, 2008. doi: 10.1007/s11340-007-9107-z.
  • [26] F. Di Gioacchino and J.Q. da Fonseca. Plastic strain mapping with sub-micron resolution using digital image correlation. Experimental Mechanics, 53(5):743–754, 2013. doi: 10.1007/s11340-012-9685-2.
  • [27] P. Reu. All about speckles: contrast. Experimental Techniques, 39(1):1–2, 2015. doi: 10.1111/ext.12126.
  • [28] P. Reu. All about speckles: speckle density. Experimental Techniques, 39(3):1–2, 2015. doi: 10.1111/ext.12161.
  • [29] P. Reu. All about speckles: aliasing. Experimental Techniques, 38(5):1–3, 2014. doi: 10.1111/ext.12111.
  • [30] P. Reu. All about speckles: speckle size measurement. Experimental Techniques, 38(6):1–2, 2014. doi: 10.1111/ext.12110.
  • [31] B. Pan, H. Xie, Z. Wang, K. Qian, and Z. Wang. Study on subset size selection in digital image correlation for speckle patterns. Optics Express, 16(10):7037–7048, 2008. doi:
  • 10.1364/OE.16.007037.
  • [32] B.Wang and B. Pan. Random errors in digital image correlation due to matched or overmatched shape functions. Experimental Mechanics, 55(9):1717–1727, 2015. doi: 10.1007/s11340-015- 0080-7.
  • [33] B. Pan, K. Qian, H. Xie, and A. Asundi. Two-dimensional digital image correlation for inplane displacement and strain measurement: a review. Measurement Science and Technology, 20(6):062001, 2009. doi: 10.1088/0957-0233/20/6/062001.
  • [34] H. Haddadi and S. Belhabib. Use of rigid-body motion for the investigation and estimation of the measurement errors related to digital image correlation technique. Optics and Lasers in Engineering, 46(2):185–196, 2007. doi: 10.1016/j.optlaseng.2007.05.008.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-10fabe1b-b9db-4571-83df-fcc55707113b
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