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Advancing Viscoelastic Material Characterization Through Computer Vision and Robotics: MIRANDA and RELAPP.

Antonio Monleón-Getino1,2, Víctor Madarnás-Gómez1,2, Mario Cobos-Soler3

  • 1BIOST3 (Research Group in Biostatistics, Data Science and Bioinformatics), Research Group in Biostatistics, Data Science and Bioinformatics, 08028 Barcelona, Spain.

Materials (Basel, Switzerland)
|November 13, 2025
PubMed
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This study presents MIRANDA (computer vision) and RELAPP (force measurement) systems for viscoelastic material characterization. These tools accurately predict key rheological parameters, offering a faster alternative to traditional methods.

Area of Science:

  • Materials Science
  • Rheology
  • Computer Vision

Background:

  • Characterizing viscoelastic materials is crucial for industrial applications.
  • Traditional methods for rheological analysis can be time-consuming and complex.
  • There is a need for faster, more efficient material characterization techniques.

Purpose of the Study:

  • To introduce and evaluate MIRANDA (computer vision) and RELAPP (force measurement) systems for viscoelastic material analysis.
  • To assess the combined ability of MIRANDA and RELAPP to predict key rheological parameters.
  • To demonstrate the utility of these systems as an alternative to traditional methods.

Main Methods:

  • Developed MIRANDA (computer vision) and RELAPP (force measurement) systems.
  • Analyzed five distinct flour dough samples.
Keywords:
Chopin alveographcomputer visionmaterial characterizationroboticsviscoelastic materialviscoelasticityviscosity

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  • Utilized Support Vector Machine (SVM) regression models with MIRANDA's data to predict rheological parameters (W, P, L, RVU).

    • Main Results:

    • SVM models achieved significant predictive accuracy for baking strength (W, R2=0.594), tenacity (P, R2=0.575), and viscosity (RVU, R2=0.612).
    • Demonstrated strong positive correlations between MIRANDA's elasticity and RELAPP's force measurements (r=0.858, r=0.839).
    • Highlighted the synergy between MIRANDA and RELAPP for efficient material characterization.

    Conclusions:

    • MIRANDA and RELAPP systems offer a promising, rapid alternative for viscoelastic material characterization.
    • The combined approach has significant industrial implications for accelerating product development and quality control.
    • Further validation with larger datasets is warranted to enhance model generalizability.