TY - JOUR
T1 - Evaluation of relationships between particle orientation and thermal conductivity in bark insulation board by means of CT and discrete modeling
AU - Kain, G.
AU - Lienbacher, B.
AU - Barbu, M.-C.
AU - Plank, B.
AU - Richter, K.
AU - Petutschnigg, A.
N1 - Cited By :19
Export Date: 14 December 2023
Correspondence Address: Kain, G.; Department of Forest Products Technology and Timber Construction, Markt 136a, Austria; email: [email protected]
Funding details: Austrian Science Fund, FWF, 843540, TRP 254-N13
Funding details: Österreichische Forschungsförderungsgesellschaft, FFG
Funding text 1: The project was supported by the FWF programme TRP 254-N13. CT scans were financed by the K-Project ZPT+, supported by the COMET programme 843540 of FFG and by the federal government of Upper Austria and Styria.
References: Kain, G., Barbu, M.C., Teischinger, A., Musso, M., Petutschnigg, A., Substantial bark use as insulation material (2012) For Prod J, 62 (6), pp. 480-487; Martin, R.E., Thermal properties of bark (1963) For Prod J, 13 (10), pp. 419-426; Kain, G., Barbu, M.C., Hinterreiter, S., Richter, K., Petutschnigg, A., Using bark as heat insulation material (2013) BioResour., 8 (3), pp. 3718-3731; Kain, G., Güttler, V., Barbu, M., Petutschnigg, A., Richter, K., Tondi, G., Density related properties of bark insulation boards bonded with tannin hexamine resin (2014) Eur J Wood Prod, 72 (4), pp. 417-424; Living inspired by sustainable innovation (2013), www.solardecathlon.at, (accessed 14.07.15); Lakes, R., Materials with structural hierarchy (1993) Nature, 361 (6412), pp. 479-564; Thoemen, H., Walther, T., Wiegmann, A., 3D simulation of macroscopic heat and mass transfer properties from the microstructure of wood fiber networks (2008) Compos Sci Technol, 68 (3-4), pp. 608-616; Standfest, G., Petutschnigg, A., Dunky, M., Zimmer, B., Rohdichtebestimmung von Holzwerkstoffen mittels Computertomographie (2009) Eur J Wood Prod, 67 (1), pp. 83-87; Standfest, G., Dunky, M., Kranzer, S., Plank, B., Salaberger, D., Petutschnigg, A., 3D pore size characterisation by means of image analysis and mathematical morphology: oriented strand board and particleboard (2012) Holztechnologie, 53 (5), pp. 39-45; Tondi, G., Blacher, S., Léonard, A., Pizzi, A., Fierro, V., Leban, J.M., X-ray microtomography studies of tannin-derived organic and carbon foams (2009) Microsc Microanal, 15 (5), pp. 384-394; Wieland, S., Grünewald, T., Ostrowski, S., Plank, B., Standfest, G., Mies, B., Assessment of mechanical properties of wood-leather panels and the differences in the panel structure by means of X-ray computed tomography (2013) BioResour., 8 (1), pp. 818-832; Lux, J., Delisèe, C., Thibault, X., 3D characterization of wood based fibrous materials: an application (2006) Image Anal Stereol, 25 (3), pp. 25-35; Lux, J., Ahmadi, A., Gobbé, C., Delisée, C., Macroscopic thermal properties of real fibrous materials: volume averaging method and 3D image analysis (2006) Int J Heat Mass Transf, 49, pp. 1958-1973; Kain, G., Charwat-Pessler, J., Barbu, M., Plank, B., Richter, K., Petutschnigg, A., Analyzing wood bark insulation board structure using X-ray computed tomography and modeling its thermal conductivity by means of finite difference method (2016) J Compos Mater, 50 (6), pp. 795-806; Otsu, N., A threshold selection method from gray-level histograms (1979) IEEE Trans Syst Man Cybern, 9 (1), pp. 22-66; Standfest, G., Petutschnigg, A., Dunky, M., 2D pore size distribution in particleboard and oriented strand board (2009) Proceedings of the 6th international symposium on image and signal processing, pp. 359-364; Hale, D.K., The physical properties of composite materials (1976) J Mater Sci, 11, pp. 2105-2141; Kain, G., Güttler, V., Lienbacher, B., Barbu, M.C., Petutschnigg, A., Richter, K., Effects of different flavonoid extracts in optimizing tannin-glued bark insulation boards (2015) Wood Fiber Sci, 47 (3), pp. 258-269; Kanit, T., Forest, S., Galliet, I., Mounoury, V., Jeulin, D., Determination of the size of the representative volume element for random composites: statistical and numerical approach (2003) Int J Solids Struct, 40 (13-14), pp. 3647-3679; Meschede, D., Gerthsen physik (2015), 25th ed Springer Berlin; Sonderegger, W., Niemz, P., Thermal conductivity and water vapour transmission properties of wood-based materials (2009) Eur J Wood Prod, 67 (3), pp. 313-321; Dunky, M., Niemz, P., Holzwerkstoffe und Leime (2002), Springer Berlin; Paulitsch, M., Barbu, M.C., Holzwerkstoffe der Moderne (2015), DRW-Verlag Leinfelden-EchterdingenUR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962440436&doi=10.1016%2fj.csndt.2016.03.002&partnerID=40&md5=66198932a51843fb804b44fe778c9b31
PY - 2016
Y1 - 2016
N2 - Insulation boards made out of larch bark were pressed and scanned with an industrial X-ray computed tomograph (CT) in order to study the structure of the boards and to allow structure-based thermal modeling. The CT images were segmented using a categorization algorithm based on ANOVA. Apart from gaining knowledge about panel porosity, understanding of the inhomogeneous bark boards was enhanced by finding that two main components are prevalent. That knowledge of the board's inner microstructure enabled the application of a numerical model for thermal conductivity based on the finite difference method (FDM). Contrary to simple cut-ups, the application of CT and subsequent modeling enables the evaluation of the effects of particle orientation on a panel's thermal conductivity. Panels with horizontal particles (oriented parallel to the panel plane) proved to have a significantly lower thermal conductivity than panels with vertical particles (oriented orthogonal to the panel plane). This trend could be confirmed by means of the presented modeling approach, which allows further theoretical ex ante optimization in the production process. These findings give the direction for developments of efficient bark insulation panels with well-defined microstructure. © 2016 The Authors
AB - Insulation boards made out of larch bark were pressed and scanned with an industrial X-ray computed tomograph (CT) in order to study the structure of the boards and to allow structure-based thermal modeling. The CT images were segmented using a categorization algorithm based on ANOVA. Apart from gaining knowledge about panel porosity, understanding of the inhomogeneous bark boards was enhanced by finding that two main components are prevalent. That knowledge of the board's inner microstructure enabled the application of a numerical model for thermal conductivity based on the finite difference method (FDM). Contrary to simple cut-ups, the application of CT and subsequent modeling enables the evaluation of the effects of particle orientation on a panel's thermal conductivity. Panels with horizontal particles (oriented parallel to the panel plane) proved to have a significantly lower thermal conductivity than panels with vertical particles (oriented orthogonal to the panel plane). This trend could be confirmed by means of the presented modeling approach, which allows further theoretical ex ante optimization in the production process. These findings give the direction for developments of efficient bark insulation panels with well-defined microstructure. © 2016 The Authors
U2 - 10.1016/j.csndt.2016.03.002
DO - 10.1016/j.csndt.2016.03.002
M3 - Article
SN - 2214-6571
VL - 6
SP - 21
EP - 29
JO - Case Studies in Nondestructive Testing and Evaluation
JF - Case Studies in Nondestructive Testing and Evaluation
ER -