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Near-Infrared Hyperspectral Absorption/Scattering Imaging Method Using Multiple Ground Plates for Evaluating Polymer

Shun Muroga1, Yuta Hikima1, Masahiro Ohshima1

  • 1Department of Chemical Engineering , Graduate School of Engineering, Katsura-Campus, Kyoto University , Nishikyo-ku, Kyoto , 615-8510 , Japan.

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This study introduces a nondestructive method using near-infrared (NIR) spectroscopy to analyze polymer composites. The technique accurately determines filler concentration and particle size, crucial for material characterization.

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Area of Science:

  • Materials Science
  • Spectroscopy
  • Polymer Chemistry

Background:

  • Polymer composites require accurate characterization of filler properties.
  • Nondestructive evaluation methods are essential for quality control and material analysis.
  • Near-infrared (NIR) spectroscopy offers potential for chemical and physical property assessment.

Purpose of the Study:

  • To develop a nondestructive method for evaluating polymer composites.
  • To simultaneously determine particulate filler concentrations and sizes within polymer matrices.
  • To refine NIR diffuse reflection spectroscopy for accurate material analysis.

Main Methods:

  • Utilized near-infrared (NIR) diffuse reflection spectroscopy with multiple ground plates.
  • Acquired wavelength-dependent absorption and reduced scattering coefficients.
  • Applied a two-flux theory model after correcting for external and internal reflections.

Main Results:

  • Successfully removed external reflection effects from spectra.
  • Calculated absorption coefficients showed a linear correlation with particle concentration.
  • Reduced scattering coefficients aligned with Mie scattering theory predictions.
  • Demonstrated simultaneous evaluation of filler concentration and size.

Conclusions:

  • The proposed NIR spectroscopic method provides a reliable approach for nondestructive evaluation of polymer composites.
  • Accurate determination of filler concentration and size is achievable.
  • This technique offers significant advantages for material characterization and quality control.