Impact modelling and a posteriori non-destructive evaluation of homogeneous particleboards of sugarcane bagasse

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dc.contributor.authorZhang, Hai
dc.contributor.authorSfarra, Stefano
dc.contributor.authorSarasini, Fabrizio
dc.contributor.authorFiorelli, Juliano
dc.contributor.authorPeeters, Jeroen
dc.contributor.authorAvdelidis, Nicolas Peter
dc.contributor.authorde Lucca Sartori, Diogo
dc.contributor.authorIbarra-Castanedo, Clemente
dc.contributor.authorPerilli, Stefano
dc.contributor.authorMokhtari, Yacine
dc.contributor.authorTirillò, Jacopo
dc.contributor.authorMaldague, Xavier P. V.
dc.date.accessioned2018-02-01T16:16:32Z
dc.date.available2018-02-01T16:16:32Z
dc.date.issued2018-01-12
dc.description.abstractWith a view to gaining an in-depth assessment of the response of particleboards (PBs) to different in-service loading conditions, samples of high-density homogeneous PBs of sugarcane bagasse and castor oil polyurethane resin were manufactured and subjected to low velocity impacts using an instrumented drop weight impact tower and four different energy levels, namely 5, 10, 20 and 30 J. The prediction of the damage modes was assessed using Comsol Multiphysics ® . ®. In particular, the random distribution of the fibres and their lengths were reproduced through a robust model. The experimentally obtained dent depths due to the impactor were compared with the ones numerically simulated showing good agreement. The post-impact damage was evaluated by a simultaneous system of image acquisitions coming from two different sensors. In particular, thermograms were recorded during the heating up and cooling down phases, while the specklegrams were gathered one at room temperature (as reference) and the remaining during the cooling down phase. On one hand, the specklegrams were processed via a new software package named Ncorr v.1.2, which is an open-source subset-based 2D digital image correlation (DIC) package that combines modern DIC algorithms proposed in the literature with additional enhancements. On the other hand, the thermographic results linked to a square pulse were compared with those coming from the laser line thermography technique that heats a line-region on the surface of the sample instead of a spot. Surprisingly, both the vibrothermography and the line scanning thermography methods coupled with a robotized system show substantial advantages in the defect detection around the impacted zone.en_UK
dc.identifier.citationZhang, H., Sfarra, S., Sarasini, F. et al. Impact modelling and a posteriori non-destructive evaluation of homogeneous particleboards of sugarcane bagasse. Journal of Nondestructive Evaluation, Volume 37, Issue 1, March 2018, Article number 6en_UK
dc.identifier.issn0195-9298
dc.identifier.urihttps://doi.org/10.1007/s10921-018-0461-9
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12945
dc.language.isoenen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectNumerical simulationen_UK
dc.subjectDigital image correlationen_UK
dc.subjectInfrared thermographyen_UK
dc.subjectProfilometryen_UK
dc.subjectSugarcane bagasseen_UK
dc.subjectLow velocity impacten_UK
dc.titleImpact modelling and a posteriori non-destructive evaluation of homogeneous particleboards of sugarcane bagasseen_UK
dc.typeArticleen_UK

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