A 3D Scanning System for Fabric Fuzziness and Pilling Evaluations

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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
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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
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Hardware
Dimension 8 x 8 x 6 inches
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Software
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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)

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Procedures

• Scan the sample
• Level the surface
• Set the central plane
• Select the offset plane
• Calculate surface parameters

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Scanning
Profiles, 1x1 in2
Surface, 200 DPI
Surface, 400 DPI
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Leveling (B-spline Approximation)
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Leveling
ScannedSurface
B-spline Fit Plane
Leveled Surface
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Offset Plane
Central Planeu0 um
Offset Planeu0.25um
Offset Planeu0.3um
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Surface Roughness(ANSI/ASME B46.1-1985)
Roughness Average RaRoot-Mean-Square Roughness
RqSkewness Rs
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Skewness
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Surface Roughness(ANSI/ASME B46.1-1985)
Ten-point Height Rz
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Surface Roughness(ANSI/ASME B46.1-1985)
Bearing Length Ratio tp Mean Spacing Rsm
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Surface Roughness
Peak Count Np Peak Size Average Sa Peak
Height Average Ha
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F5
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F4
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F3
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F2
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F1
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Pilling
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Results
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Results
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Results
F1 F2 F3 F4 F5 F6
Ra 0.287 0.139 0.123 0.101 0.086 0.092
Rq 0.365 0.181 0.158 0.127 0.110 0.140
Rz 1.257 0.613 0.573 0.383 0.334 0.690
Rs 0.518 0.455 0.237 0.005 -0.001 2.270
tp 0.259 0.061 0.056 0.017 0.008 0.019
Np 0.446 0.481 0.535 0.277 0.184 0.047
Sa 0.507 0.154 0.109 0.089 0.067 0.248
Ha 0.511 0.368 0.335 0.304 0.296 0.714

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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.