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Abstract

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.
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Bibliography

[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.
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Authors and Affiliations

Milad Zolfipour Aghdam
1
ORCID: ORCID
Naser Soltani
1
Hadi Nobakhti
1

  1. School of Mechanical Engineering, Collegeof Engineering, University of Tehran, Iran
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Abstract

We present computer simulations of a two-way ANOVA gage R&R study to determine the effects on the average speckle width of intensity patterns caused by scattered light reflected from random rough surfaces with different statistical characteristics. We illustrate how to obtain reliable computer data that properly simulate experimental measurements by means of the Fresnel diffraction integral, which represents an accurate analytical model for calculating the propagation of spatially-limited coherent beams that have been phase-modulated after being reflected by the vertical profiles of the generated surfaces. For our description we use four differently generated vertical profiles and five different vertical randomly generated roughness values.

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Authors and Affiliations

Moisés Cywiak
David Cywiak
Etna Yáñez
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Abstract

A deformation sensing technique with a multimode plastic optical fibre based on intensity speckle patterns’ correlation coefficient measurement has been presented. Influence of the average speckle size on results of deformation measuring has been studied and discussed. The presented sensing technique provides a good linear response to the applied deformation in a relatively wide operation region. It is shown that the proposed technique is highly sensitive, low-cost and simple to implement in practice.

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Authors and Affiliations

V. Varyshchuk
Y. Bobitski
H. Poisel
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Abstract

Maintenance of assets and equipment in power plants is essential for their safety and is required to help the plant stay active. In this paper, the specimens manufactured from a pipe of X10CrMoVNb9-1 (P91) power engineering steel in the as-received state and after operating for 80000 h at internal pressure of 8.4 MPa and temperature of 540ºC were subjected to tests using electronic speckle pattern interferometry (ESPI) under static loading of up to 2.5 kN. Such a procedure enables assessment of strain and stress distribution maps to compare material integrity in the as-received state and after exploitation in its elastic range. The measurements conducted showed no effect of long time operation on the mechanical response of P91 steel under the power installations conditions since the field strain distributions for each type of specimen were found to be similar.
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Authors and Affiliations

Mateusz Kopec
1 2
ORCID: ORCID

  1. Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawińskiego 5B, 02-106 Warsaw, Poland
  2. Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK

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