Analysis of OSB Mat Stucture Made From Industrially Manufactured Strands Using Simulation Modeling


  • Jeroen H. van Houts
  • Paul M. Winistorfer
  • Siqun Wang


Simulation model, OSB, slenderness ratio, voids, strand overlap, mat structure, dimensional stability


Industrially manufactured oriented strandboard (OSB) furnish was characterized by scanning images of a large number of individual strands and analyzing their shape properties. A Visual Basic macro in combination with commercially available image synthesis software was utilized to carry out the task of this analysis. The scanned images of these strands were used in a model that simulates the formation of layers within an OSB mat. These layers were simulated using three different orientation scenarios: random orientation. 100% strand alignment, and strand alignment based on industrial parameters. Information provided by the model includes the number and geometrical details of voids and strand overlap. Total void area for a mat is shown to be independant of strand orientation and the aspect ratio of strands. Interestingly, noticeable differences in the number, size, orientation, and shape factor of the individual voids, which make up the total area, were shown between various mat configurations.


Barnes, D. 2000. An integrated model of the effect of processing parameters on the strength properties of oriented strand wood products. Forest Prod. J.50(11/12):33-42.nChen, S., P. Hubert, and C. Dai. 1998. Process modeling for wood-based composites. Part I. Computer simulation for OSB mat formation. Pages 31-35 in Engineering Systems Using Structural Panels. Proc. 7272, Forest Products Society, Madison, WI.nDai, C., and S. Chen. 1996. Simulation of mat formation for wood strand composite processing. Pages 32-39 in H. Kajita and K. Tsunoda, eds. Proc. Third Pacific Rim Bio-Based Composites Symposium, Kyoto, Japan.nDai, C., and P. R. Steiner. 1994a. Spatial structure of wood composites in relation to processing and performance characteristics. Part 2. Modelling and simulation of a randomly-formed flake layer network. Wood Sci. Technol.28(2):135-146.nDai, C., and P. R. Steiner. 1994b. Spatial structure of wood composites in relation to processing and performance characteristics. Part 3. Modelling the formation of multi-layered random flake mats. Wood Sci. Technol.28(3): 229-239.nDai, C., and P. R. Steiner. 1997. On horizontal density variation in randomly-formed short-fibre wood composite boards. Composites Part A, 28A:57-64.nDai, C., P. Hubert, and Chen. 1997. Advances in modeling mat formation and consolidation for wood composite panels. Pages 21-27 in J. Hague, C. Loxton, J. Bolton, and L. Mott, eds. Proc. First European Panel Products Symposium, Llandudno, Wales.nGeimer, R. L. 1976. Flake alignment in particleboard as affected by machine variables and particle geometry. Res. Paper FPL 275, USDA, Forest Prod. Lab., Madison, WI. 16 pp.nHall, P. 1988. Introduction to the theory of coverage processes. John Wiley and Sons, New York, NY. 408 pp.nHarris, R. A., and J. A. Johnson. 1982. Characterization of the flake orientation in flakeboard by the von Mises probability distribution function. Wood Fiber14(4):254-266.nLau, P. W. C. 1981. Numerical approach to predict the modulus of elasticity of oriented waferboard. Wood Science14(2):73-85.nLenth, C. A., and F. A. Kamke. 1996. Investigations of flakeboard mat consolidation. Part I. Characterizing the cellular structure. Wood Fiber Sci.28(2):153-167.nLu, C., and F. Lam. 1999. Study on the X-ray calibration and overlap measurements in robot-formed flakeboard mats. Wood Sci. Technol.33(2):85-95.nLu, C., P. R. Steiner, and F. Lam. 1998. Simulation study of wood-flake composite mat structures. Forest Prod. J.48(5):89-93.nOudjehane, A., and F. Lam. 1998. On the density profile within random and oriented wood-based composite panels: Horizontal distribution. Composites Part B, 29B: 687-694.nOudjehane, A., and F. Lam., and S. Avramidis. 1998a. Forming and pressing processes of random and oriented wood composite mats. Composites Part B, 29B:211-215.nOudjehane, A., and F. Lam., and S. Avramidis. 1998b. Modeling the influence of the formation process on engineering properties of flakeboards. Pages 1-5 in Engineering Systems Using Structural Panels. Proc. 7272, Forest Products Society, Madison, WI.nShaler, S. M. 1991. Comparing two measures of flake alignment. Wood Sci. Technol.26(1):53-61.nShaler, S. M., and P. R. Blankenhorn. 1990. Composite model prediction of elastic moduli for flakeboard. Wood Fiber Sci.22(3):246-261.nSigmaScan® Pro 5.0. 1999. SigmaScan® Pro. 5.0 User's Guide. SPSS Inc., Chicago, IL. 281 pp.nSteiner, P. R., and C. Dai. 1993. Spatial structure of wood composites in relation to processing and performance characteristics. Part I. Rationale for model development. Wood Sci. Technol.28(1):45-51.nSuchsland, O., and H. Xu. 1989. A simulation of the horizontal density distribution in a flakeboard. Forest Prod. J.39(5):29-33.nVan Houts, J. H., P. M. Winistorfer, and S. Wang. 2003. Improving dimensional stability by acetylation of discrete layers within oriented strandboard. Forest Prod. J.53(1):82-88.nWang, K., and F. Lam. 1998. Robot-based research on three-layer oriented flakeboards. Wood Fiber Sci.30(4):339-347.nWu, Q. 1999. In-plane dimensional stability of oriented strand panel: Effect of processing variables. Wood Fiber Sci.31(1):28-40.nXu, W. 2000. Influence of percent alignment and shelling ration on linear expansion of oriented strandboard: A model investigation. Forest Prod. J.50(7/8):88-93.nXu, W., and P. R. Steiner. 1995. A statistical characterization of the horizontal density distribution in flakeboard. Wood Fiber Sci.27(2):160-167.n






Research Contributions