TY - JOUR
T1 - Analysis of electroperforated materials using the quadrat counts method
AU - Miranda, E.
AU - Garzón, C.
AU - Martínez-Cisneros, C.
AU - Alonso, J.
AU - García-García, J.
PY - 2011
Y1 - 2011
N2 - The electroperforation distribution in thin porous materials is investigated using the quadrat counts method (QCM), a classical statistical technique aimed to evaluate the deviation from complete spatial randomness (CSR). Perforations are created by means of electrical discharges generated by needle-like tungsten electrodes. The objective of perforating a thin porous material is to enhance its air permeability, a critical issue in many industrial applications involving paper, plastics, textiles, etc. Using image analysis techniques and specialized statistical software it is shown that the perforation locations follow, beyond a certain length scale, a homogeneous 2D Poisson distribution.
AB - The electroperforation distribution in thin porous materials is investigated using the quadrat counts method (QCM), a classical statistical technique aimed to evaluate the deviation from complete spatial randomness (CSR). Perforations are created by means of electrical discharges generated by needle-like tungsten electrodes. The objective of perforating a thin porous material is to enhance its air permeability, a critical issue in many industrial applications involving paper, plastics, textiles, etc. Using image analysis techniques and specialized statistical software it is shown that the perforation locations follow, beyond a certain length scale, a homogeneous 2D Poisson distribution.
UR - http://www.scopus.com/inward/record.url?scp=80051691458&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/301/1/012049
DO - 10.1088/1742-6596/301/1/012049
M3 - Article
AN - SCOPUS:80051691458
SN - 1742-6588
VL - 301
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012049
ER -