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A 3D Scanning System for Fabric Fuzziness and Pilling Evaluations. Bugao Xu and Ming Yao. The University of Texas at Austin January 2005. 3D Laser Scanning System. Goal to acquire the surface profile of a fabric and to characterize the surface roughness. Setup Profile sensor: 10um
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A 3D Scanning System for Fabric Fuzziness and Pilling Evaluations Bugao Xu and Ming Yao The University of Texas at Austin January 2005
3D Laser Scanning System Goal to acquire the surface profile of a fabric and to characterize the surface roughness. Setup Profile sensor: 10um 2-axis stage: 0.5 um/step A/D board: 12 bits
Hardware Dimension: 8 x 8 x 6 inches
Samples Five knitted fabric (interlock, dark blue) were washed and dried different cycles. F5: no fuzz F4: low F3: medium F2: high (a few pills) F1: severe ( a lot pills)
Procedures • Scan the sample • Level the surface • Set the central plane • Select the offset plane • Calculate surface parameters
Scanning Profiles, 1x1 in2 Surface, 200 DPI Surface, 400 DPI
u and v: two parameters Ni,q(v) and Nj,p: basis functions p and q: degrees {Pi,j|0<i<m, 0<j<n}: control points Leveling(B-spline Approximation)
Leveling ScannedSurface B-spline Fit Plane Leveled Surface
Offset Plane Central Planeu=0 um Offset Planeu=0.25um Offset Planeu=0.3um
Central Line yi Surface Roughness(ANSI/ASME B46.1-1985) Roughness Average RaRoot-Mean-Square Roughness RqSkewness Rs
Surface Roughness(ANSI/ASME B46.1-1985) Ten-point Height Rz:
Surface Roughness(ANSI/ASME B46.1-1985) Bearing Length Ratio tp: Mean Spacing Rsm:
Surface Roughness Peak Count Np: Peak Size Average Sa: Peak Height Average Ha:
Conclusions • The selected surface parameters can effectively differentiate the level of fabric fuzziness/pilling. • It provides the characteristic information about fuzz and pills. • It is independent of fabric structure, color and orientation. • The scanning is a slow process.