Assessing surface roughness for correlation with particulate deposition

Ceren Altin, Thomas Huynh, Brendan Powers, Christopher A. Brown, Shaojie Wang, Jianshun S. Zhang

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

Abstract

The textures of carpets are measured and the roughness is characterized with relative area, area-scale complexity and average texture depth. Particle depositions are measured on the carpets. The relative areas and the complexity (change in relative area with scale) are both capable of discriminating the different carpets with better than 90% confidence. The strongest regression coefficients (R) between particulate deposition and relative area are -0.81 at a scale of about 0.5mm 2. At the coarser scales the regressions are positive. The regression coefficient between particulate deposition and complexity also exceeds -0.8 at scales of about 3mm 2 and then, for some particulate diameters, R rises with decreasing scale through zero eventually reaching 0.95 at scales below approximately 0.001mm 2. The scale of the carpet roughness and the size of the particles, both influence the correlations. The characterization of the carpet roughness, particularly scale sensitivity, is important for finding correlations.

Original languageEnglish (US)
StatePublished - 2010
Event7th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings, IAQVEC 2010 - Syracuse, NY, United States
Duration: Aug 15 2010Aug 18 2010

Other

Other7th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings, IAQVEC 2010
Country/TerritoryUnited States
CitySyracuse, NY
Period8/15/108/18/10

Keywords

  • Particle Deposition
  • Roughness
  • Scale-sensitive Fractal

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Civil and Structural Engineering
  • Architecture

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