Browse > Article
http://dx.doi.org/10.5351/CKSS.2011.18.3.301

Probabilistic Modeling of Fiber Length Segments within a Bounded Area of Two-Dimensional Fiber Webs  

Chun, Heui-Ju (Department of Data Management, Pusan University of Foreign Studies)
Publication Information
Communications for Statistical Applications and Methods / v.18, no.3, 2011 , pp. 301-317 More about this Journal
Abstract
Statistical and probabilistic behaviors of fibers forming fiber webs of all kinds are of great significance in the determination of the uniformity and physical properties of the webs commonly found in many industrial products such as filters, membranes and non-woven fabrics. However, in studying the spatial geometry of the webs the observations must be theoretically as well as experimentally confined within a specified unit area. This paper provides a general theory and framework for computer simulation for quantifying the fiber segments bounded by the unit area in consideration of the "edge effects" resulting from the truncated length segments within the boundary. The probability density function and the first and second moments of the length segments found within the counting region were derived by properly defining the seeding region and counting region.
Keywords
Fiber segment length distribution; fiber intersections; fiber web; edge effect; seeding region; counting region;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Kallmes, O. and Corte, H. (1960). The structure of paper. The Statistical Geometry of Ideal Two Dimensional Fiber Network, Tappi, 43, 737-752.
2 Klain, D. A. and Rota, G. (1997). Introduction to Geometric Probability, Cambridge, Cambrige.
3 Krifa, M. (2006). Fiber length distribution in cotton processing: Dominant features and interaction effects, Textile Research Journal, 76, 426-435.   DOI
4 Rawal, A., Lomov, S., Ngo, T., Verpoest, L. and Vankerrebrouck, J. (2007). Mechanical behavior of thru-air bonded nonwoven structures, Textile Research Journal, 77, 417-431.   DOI
5 Schuster, E. F. (1974). Buffon's needle experiment, American Mathematical Monthly, 81, 26-29.   DOI   ScienceOn
6 Solomon, H. (1978). Geometrical Probability, SIAM, Philadelphia.
7 Stoyan, D., Kendall, W. S. and Mecke, J. (1995). Stochastic Goemetry and Its Applications, Wiley, New York.
8 Stoyan, D. and Stoyan, H. (1994). Fractals, Random Shapes and Point Fields, Wiley, New York.
9 Suh, M. W., Chun, H., Berger, R. L. and Bloomfield, P. (2010). Distribution of fiber intersections - A basic geometrical and probability model, Textile Research Journal, 80, 301-311.   DOI   ScienceOn
10 Yi, Y. B., Berhan, L. and Sastry, A. M. (2004). Statistical geometry of random fibrous networks, revisited: Waviness, dimensionality, and percolation, Journal of Applied Physics, 96, 1318-1327.   DOI   ScienceOn