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Accuracy Evaluation of Dense Matching Techniques for Casting Part Dimensional Verification.

Gorka Kortaberria1, Unai Mutilba2, Eneko Gomez-Acedo3

  • 1Department of Mechanical Engineering, IK4-Tekniker, 20600 Eibar, Spain. gorka.kortaberria@tekniker.es.

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Summary

Dense matching techniques offer accurate 3D reconstruction for casting part verification. This cost-effective method meets manufacturing tolerances without active light, improving product optimization.

Keywords:
dense matchinginspectionmulti-view stereophotogrammetrypoint cloudstructure from motionuncertainty

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Area of Science:

  • Manufacturing Engineering
  • Metrology
  • Computer Vision

Background:

  • Product optimization is essential for competitiveness in global manufacturing.
  • Casting design, simulation, and verification tools reduce costs and maintain functionality.
  • Traditional 3D scanning requires active light sources, limiting application in some scenarios.

Purpose of the Study:

  • To evaluate the accuracy of dense matching techniques for casting part verification.
  • To compare dense matching accuracy against established optical measurement methods.
  • To assess the suitability of dense matching for industrial casting processes.

Main Methods:

  • Utilizing dense matching techniques for 3D surface reconstruction of casting parts.
  • Comparing dense matching accuracy with certified optical measurement systems.
  • Conducting uncertainty evaluation using artificial targets and natural features.
  • Testing in both laboratory and workshop environments.

Main Results:

  • Dense matching techniques provide accurate 3D surface point reconstruction.
  • The method's accuracy is comparable to validated optical measuring systems.
  • Uncertainty evaluations confirm the reliability of the approach.
  • Performance is consistent across lab and workshop conditions.

Conclusions:

  • Dense matching is a viable and accurate method for casting part verification.
  • This image processing technique meets required measurement tolerances in manufacturing.
  • It offers a cost-effective alternative to traditional 3D scanning methods.