Access the full text.
Sign up today, get DeepDyve free for 14 days.
S. Diamond (1999)
Aspects of concrete porosity revisitedCement and Concrete Research, 29
C. Lenth (1994)
Investigations of flakeboard mat consolidation
Bing Zhang, Qinglin Wu, Linbing Wang, G. Han (2005)
CHARACTERIZATION OF INTERNAL VOID STRUCTURE OF STRAND-BASED WOOD COMPOSITES USING X-RAY TOMOGRAPHY AND DIGITAL TOOLS
T. Walther, H. Thoemen (2009)
Synchrotron X-ray microtomography and 3D image analysis of medium density fiberboard (MDF), 63
D. Yamaguchi, H. Mayama, S. Koizumi, K. Tsujii, T. Hashimoto (2008)
Investigation of self-assembled fractal porous-silica over a wide range of length scales using a combined small-angle scattering methodThe European Physical Journal B, 63
C. Dai, P. Steiner (2007)
Compression behavior of randomly formed wood flake matsWood and Fiber Science, 25
C. Dai, Changming Yu, Xiaoyan Zhou (2007)
HEAT AND MASS TRANSFER IN WOOD COMPOSITE PANELS DURING HOT PRESSING. PART II. MODELING VOID FORMATION AND MAT PERMEABILITYWood and Fiber Science, 37
E. Sackey, G. Smith (2010)
Characterizing macro-voids of uncompressed mats and finished particleboard panels using response surface methodology and X-ray CT, 64
Q. Cao, F. Yao, Qinglin Wu (2010)
Effects of Sample Size on Characterization of Wood-Particle Length DistributionWood and Fiber Science, 42
F. Kamke, M. Wolcott (2004)
Fundamentals of flakeboard manufacture: wood-moisture relationshipsWood Science and Technology, 25
B. Mandelbrot, Dann. Passoja, A. Paullay (1984)
Fractal character of fracture surfaces of metalsNature, 308
Peng Li, Sunguo Wang, Siguo Chen, Feng-hu Wang (2008)
A three-dimensional solid model for OSB matForest Products Journal, 58
P. Humphrey (1989)
The Hot Pressing of Dry-formed Wood-based Composites. Part II. A Simulation Model for Heat and Moisture Transfer, and Typical Results, 43
K. Leppänen, Ingela Bjurhager, M. Peura, A. Kallonen, J. Suuronen, P. Penttilä, J. Love, K. Fagerstedt, R. Serimaa (2011)
X-ray scattering and microtomography study on the structural changes of never-dried silver birch, European aspen and hybrid aspen during drying, 65
Qinglin Wu, J. Lee, G. Han (2007)
The Influence of Voids on the Engineering Constants of Oriented Strandboard: A Finite Element ModelWood and Fiber Science, 36
Qiang Wei, B. Leblon, Y. Chui, S. Zhang (2008)
Identification of selected log characteristics from computed tomography images of sugar maple logs using maximum likelihood classifier and textural analysis, 62
N. Bird, E. Perrier (2003)
The pore–solid fractal model of soil density scalingEuropean Journal of Soil Science, 54
C. Lenth, F. Kamke (2007)
Investigations of Flakeboard Mat Consolidation. Part I. Characterizing The Cellular StructureWood and Fiber Science, 28
Qinglin Wu, Bing Zhang, Linbing Wang, G. Han (2006)
The Application of 3-D X-Ray Tomography with Finite Element Analysis for Engineering Properties of Strand-Based Composites
M. Sugimori, F. Lam (1999)
Macro-void distribution analysis in strand-based wood composites using an X-ray computer tomography techniqueJournal of Wood Science, 45
O. Arnould, Reinhard Stürzenbecher, S. Bardet, K. Hofstetter, D. Guibal, Nadine Amusant, A. Pizzi (2010)
Mechanical potential of eco-OSB produced from durable and nondurable species and natural resins, 64
Václav Sebera, L. Muszynski (2011)
Determination of local material properties of OSB sample by coupling advanced imaging techniques and morphology-based FEM simulation, 65
M. Barnsley (1988)
Fractals everywhere
F. Bartoli, R. Philippy, M. Doirisse, S. Niquet, M. Dubuit (1991)
Structure and self‐similarity in silty and sandy soils: the fractal approachEuropean Journal of Soil Science, 42
D. Osman, D. Newitt, A. Gies, T. Budinger, V. Truong, S. Majumdar, J. Kinney (1998)
Fractal Based Image Analysis of Human Trabecular Bone using the Box Counting Algorithm: Impact of Resolution and Relationship to Standard Measures of Trabecular Bone StructureFractals, 06
Peter Zioupos, C. Kaffy, J. Currey (2006)
Tissue heterogeneity, composite architecture and fractal dimension effects in the fracture of ageing human boneInternational Journal of Fracture, 139
Peng Li, C. Dai, Sunguo Wang (2009)
A simulation of void variation in wood-strand composites during consolidation, 63
P. Hass, F. Wittel, S. McDonald, F. Marone, M. Stampanoni, H. Herrmann, P. Niemz (2010)
Pore space analysis of beech wood: The vessel network, 64
Abstract Oriented strandboards were constructed from various combinations of mixed hardwood flakes. Fractal dimension of void size (FDVS) in the manufactured samples was studied by means of X-ray computer tomography images and a computer image processing technique. The FDVS value was high in the panel surface layers and decreased toward the panel center, and the FDVS decrement was linear to increased porosity. At the same overall porosity level, the FDVS varied as function of void distribution. FDVS could be a useful additional parameter for characterizing the internal void structure of strand-based wood composites.
Holzforschung – de Gruyter
Published: Feb 1, 2013
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.