Abstract
The demand for plywood products for the interior and exterior construction has grown significantly over the years. Therefore, detection of defects present in the plywood is of prime importance to maintain good quality of construction. In this study, qualitative and quantitative analyses of defects in plywood using digital holographic interferometric technique are presented. In this process, thermal and mechanical loads are applied to the test sample of plywood to generate interferometric fringes by comparing the normal and stressed states of the test sample. A portable digital holographic camera developed for non-destructive testing applications is employed for detection of cracks, delamination, edge defects, and layer opening in the plywood. The defects in the plywood sample are identified by observing discontinuities in the interferometric fringes. Quantitative analysis of defects is performed by plotting their 2-D and 3-D phase profiles from the digital holographic interferometric results. The obtained results of defects on plywood are validated by a mechanical profiler.
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References
Aebischer HA, Waldner S (1999) A simple and effective method for filtering speckle-interferometric phase fringe patterns. Opt Commun 162:205–210. https://doi.org/10.1016/S0030-4018(99)00116-9
Augelli F, Colla C, Mastropirro R (2004) Inspection & NDT to verify structural reliability of historic wooden roofs in the ex-Meroni spinning-mill. In Structural Analysis of Historical Constructions-2 Volume Set: Possibilities of Numerical and Experimental Techniques-Proceedings of the IVth Int. Seminar on Structural Analysis of Historical Constructions, Padova, Italy, pp. 377
Berglind H, Dillenz A (2003) Detection of glue deficiency in laminated wood with pulse thermography. J Wood Sci 49:216–220. https://doi.org/10.1007/s10086-002-0478-6
Bianco V, Memmolo P, Leo M, Montresor S, Distante C, Paturzo M, Picart P, Javidi B, Ferraro P (2018) Strategies for reducing speckle noise in digital holography. Light Sci Appl 7:1–16. https://doi.org/10.1038/s41377-018-0050-9
Bucur V (2003) Ultrasonic imaging. In Nondestructive Characterization and Imaging of Wood. pp 181–214
Chikode PP, Vhatkar RS, Patil SD, Fulari VJ (2020) Investigations of defects in ceramic tiles using double exposure digital holographic interferometry (DEDHI) technique. Optik. https://doi.org/10.1016/j.ijleo.2020.165035
Consalting S (2007) Analysis of properties of plywood for some areas of usage in wooden constructions. 11th International Research/Expert Conference” Trends in the Development of Machinery and Associated Technology” TMT, Hammamet, Tunisia
Dwivedi G, Sharma A, Singh O, Baghel PK, Kumar R (2020a) Delamination testing of polyurethane pads adhered to polishing tool using a digital holographic nondestructive testing method. Opt Eng 59:102417. https://doi.org/10.1117/1.OE.59.10.102417
Dwivedi G, Debnath SK, Das B, Kumar R (2020b) Revisit to comparison of numerical reconstruction of digital holograms using angular spectrum method and Fresnel diffraction method. J Opt 49:118–126. https://doi.org/10.1007/s12596-019-00582-6
Dwivedi G, Pensia L, Debnath SK, Kumar R (2021) Performance evaluation of digital holographic camera under variable source power and exposure time. Appl Opt 60:A120–A130. https://doi.org/10.1364/AO.404256
Fang CH, Mariotti N, Cloutier A, Koubaa A, Blanchet P (2012) Densification of wood veneers by compression combined with heat and steam. Eur J Wood Prod 70:155–163. https://doi.org/10.1007/s00107-011-0524-4
Goldstein RM, Zebker HA, Werner CL (1988) Satellite radar interferometry: Two-dimensional phase unwrapping. Radio Sci 23:713–720. https://doi.org/10.1029/RS023i004p00713
Green DW, Hernandez R (1998) Standards for structural wood products and their use in the United States. J Contemp Wood Eng 9:8–9
Hilbers U, Neuenschwander J, Hasener J, Sanabria SJ, Niemz P, Thoemen H (2012) Observation of interference effects in air-coupled ultrasonic inspection of wood-based panels. Wood Sci Technol 46:979–990. https://doi.org/10.1007/s00226-011-0460-9
Iancu L (2004) Use of ultrasonic method in association with imagistic method for detection of structural defects in gluing of the plywood. Drewno: Prace Naukowe Doniesienia Komunikaty 47: 49–67. http://drewnowood.pl/archiwum
Kreis T (2006) Handbook of holographic interferometry: optical and digital methods. John Wiley & Sons, Germany
Kumar M, Shakher C (2016a) Experimental characterization of the hygroscopic properties of wood during convective drying using digital holographic interferometry. Appl Opt 55:960–968. https://doi.org/10.1364/AO.55.000960
Kumar M, Shakher C (2016b) Measurement of hygroscopic strain in deodar wood during convective drying using lensless Fourier transform digial holography. Opt Micro Nanometrol VI, Int Soc Opt Photon. https://doi.org/10.1117/12.2227464
Kumar R, Dwivedi G, Singh O (2021) Portable digital holographic camera featuring enhanced field of view and reduced exposure time. Opt Lasers Eng 137:106359. https://doi.org/10.1016/j.optlaseng.2020.106359
Liu C, Wang D, Zhang Y (2009) Comparison and verification of numerical reconstruction methods in digital holography. Opt Eng 48:105802. https://doi.org/10.1117/1.3251340
Luppold WG (1988) Material-use trends in US furniture manufacturing Southern. J Appl For 12:102–107. https://doi.org/10.1093/sjaf/12.2.102
Meinlschmidt P (2005) Thermographic detection of defects in wood and wood-based materials. In 14th International Symposium of Nondestructive Testing of Wood, Hannover, Germany.
Mulaveesala R, Ravi NPV, D, Amarnath M, (2012) Thermal wave imaging techniques for inspection of plywood materials. Thermosense Thermal Infrared Applicat XXXIV, Int Soc Opt Photon. https://doi.org/10.1117/12.919984
Pang WY, Qing JJ, Liu QL, Nong GZ (2020) Developing an artificial intelligence (AI) system to patch plywood defects in manufacture. Procedia Comput Sci 166:139–143. https://doi.org/10.1016/j.procs.2020.02.036
Piazza M, Riggio M (2008) Visual strength-grading and NDT of timber in traditional structures. J Build Apprai 3:267–296. https://doi.org/10.1057/jba.2008.4
Poon TC, Liu JP (2014) Introduction to modern digital holography: with MATLAB. Cambridge University Press
Schnars U, Jueptner W (2005) Digital holography: digital hologram recording, numerical reconstruction, and techniques. Springer-Verlag, Berlin
Schnars U, Jüptner WPO (2002) Digital recording and numerical reconstruction of holograms. Meas Sci Tech 13:R85. https://doi.org/10.1088/0957-0233/13/9/201
Seliverstov A, Simonova I, Syunev V (2019) Quality loss of birch plywood logs supplied for export in Finland. In IOP Conference Series. Environ Earth Sci. https://doi.org/10.1088/1755-1315/316/1/012059
Shi S, Walker JCF (2006) Wood-based composites: plywood and veneer-based products. Primary Wood Processing, Springer, Dordrecht pp 391–426. https://doi.org/10.1007/1-4020-4393-7_11
Shimobaba T, Kakue T, Okada N, Oikawa M, Yamaguchi Y, Ito T (2013) Aliasing-reduced Fresnel diffraction with scale and shift operations. J Opt 15:075405. https://doi.org/10.1088/2040-8978/15/7/075405
Tounsi Y, Kumar M, Nassim A, Mendoza-Santoyo F, Matoba O (2019) Speckle denoising by variant nonlocal means methods. Appl Opt 58:7110–7120. https://doi.org/10.1364/AO.58.007110
Treviño-Palacios CG (2015) Unfolding wrapped phase. Opt Eng 54:110503. https://doi.org/10.1117/1.OE.54.11.110503
van Blokland JV, Olsson A, Oscarsson J, Daniel G, Adamopoulos S (2020) Crack formation, strain distribution and fracture surfaces around knots in thermally modified timber loaded in static bending. Wood Sci Technol 54:1001–1028. https://doi.org/10.1007/s00226-020-01190-5
Verma S, Sarma SS, Dhar R, Kumar R (2015) Scratch enhancement and measurement in periodic and non-periodic optical elements using digital holography. Optik 126:3283–3287. https://doi.org/10.1016/j.ijleo.2015.08.008
Vincitorio F, Bahuer L, Fiorucci MP, López AJ, Ramil A (2018) Improvement of crack detection on rough materials by digital holographic interferometry in combination with non-uniform thermal loads. Optik 163:43–48. https://doi.org/10.1016/j.ijleo.2018.02.068
Wahl A, Kozak RA, Cohen DH (2002) An exploratory market assessment of wood use in Japanese residential flooring and windows. For Prod J 52:51
Wang J, Biernacki JM, Lam F (2001) Nondestructive evaluation of veneer quality using acoustic wave measurements. Wood Sci Technol 34:505–516. https://doi.org/10.1007/s002260000069
Wang L, Li L, Qi W, Yang H (2009) Pattern recognition and size determination of internal wood defects based on wavelet neural networks. Comput Electron Agric 69:142–148. https://doi.org/10.1016/j.compag.2009.07.019
Acknowledgements
The authors are thankful to Department of Science and Technology (DST), Government of India, New Delhi, for financial support under HoloCam project (Grant No. DST/TSG/NTS/2015/59). One of the authors, Lavlesh Pensia, thanks to CSIR, New Delhi, for providing fellowship to carry out this research work. A portion of this work was presented during OSA Frontiers in Optics and Laser Science APS/DLS (FiO + LS) Conference, 14–17 September, 2020.
Funding
Department of Science and Technology (DST), Government of India, New Delhi, for financial support under HoloCam project (Grant No. DST/TSG/NTS/2015/59). One of the authors, Lavlesh Pensia, thanks to CSIR, New Delhi, for providing fellowship to carry out this research work.
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LP conceived the idea, performed experiments, and prepared first draught of the manuscript, GD performed experiments, analysed results, RK supervised experiments, analysed results, and edited the manuscript.
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RK and GD are inventors on a patent describing method and system for recording digital holograms of larger objects in non-laboratory environment [US patent application number 16/912604; India patent application number 201911023585].
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Pensia, L., Dwivedi, G. & Kumar, R. Non-destructive inspection and quantification of defects in plywood using a portable digital holographic camera. Wood Sci Technol 55, 873–885 (2021). https://doi.org/10.1007/s00226-021-01274-w
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DOI: https://doi.org/10.1007/s00226-021-01274-w