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Some Practical Considerations for Compression Failure Characterization of Open-Cell Polyurethane Foams Using Digital

Ricardo Belda1, Raquel Megías2, Norberto Feito1

  • 1Centre of Research in Mechanical Engineering-CIIM, Department of Mechanical Engineering and Materials, Universitat Politècnica de València, Camino de Vera, 46022 Valencia, Spain.

Sensors (Basel, Switzerland)
|July 30, 2020
PubMed
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Digital image correlation (DIC) helps analyze open-cell foam failure. Subset and step sizes significantly impact strain magnification and failure patterns, guiding accurate micro-scale modeling.

Keywords:
compression fracturedigital image correlationfailure characterizationspeckle quality

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Polymer Science

Background:

  • Open-cell polyurethane foam's mechanical behavior is strongly linked to its microstructure.
  • Understanding micro-scale failure mechanisms and deformation modes is crucial for accurate predictive modeling.

Purpose of the Study:

  • To investigate the influence of Digital Image Correlation (DIC) parameters on characterizing the compression failure of open-cell polyurethane foams.
  • To analyze the effect of DIC parameter variations on failure pattern definition and strain magnification.

Main Methods:

  • Compression testing of open-cell polyurethane foams with three different densities.
  • Application of Digital Image Correlation (DIC) to analyze strain fields and failure patterns.
  • Systematic evaluation of DIC parameters including subset size, step size, and pattern matching criteria.

Main Results:

  • DIC effectively characterizes foam failure patterns.
  • Subset size variations significantly affect strain magnification values.
  • Step size's influence on strain magnification is dependent on the subset size.
  • Pattern matching criteria showed minimal impact (3.5%) on strain magnification.

Conclusions:

  • DIC parameter selection, particularly subset and step sizes, critically influences the characterization of foam failure and strain magnification.
  • Pattern quality determination is essential for reliable texture analysis in DIC.
  • The study provides guidance for DIC users analyzing foamed structures and texture correlation across different densities.