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Hybrid µCT-FMT imaging and image analysis
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Surface extraction from multi-material components for metrology using dual energy CT.

Christoph Heinzl1, Johann Kastner, Eduard Gröller

  • 1Upper Austrian University of Applied Sciences, Wels. c.heinzl@fh-wels.at

IEEE Transactions on Visualization and Computer Graphics
|October 31, 2007
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Summary

This study introduces a novel dual energy computed tomography (DECT) method for precise surface modeling of multi-material components. The technique enhances dimensional measurements in industrial 3D X-ray computed tomography (3DCT) for complex parts.

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Area of Science:

  • Metrology and Industrial Imaging
  • Materials Science and Engineering
  • Non-Destructive Testing

Background:

  • Accurate dimensional measurement of multi-material components is crucial for industrial quality control.
  • Traditional 3D X-ray computed tomography (3DCT) methods face challenges with materials of varying densities.
  • Existing techniques often struggle to achieve high precision for complex geometries and material interfaces.

Purpose of the Study:

  • To develop and validate a novel workflow for surface model creation of multi-material components using dual energy computed tomography (DECT).
  • To improve the accuracy and reliability of dimensional measurements in industrial 3DCT applications.
  • To leverage the complementary strengths of dual X-ray exposure technology for enhanced metrology.

Main Methods:

  • Utilized dual source/dual exposure 3DCT with a high-precision micro-focus and a high-energy macro-focus X-ray source.
  • Implemented a workflow involving pre-filtering for noise reduction, dataset registration, and image fusion.
  • Combined structural information from a high-energy scan with edge detail from a low-energy scan.
  • Employed a local adaptive technique for reliable surface model extraction from the fused dataset.

Main Results:

  • Demonstrated significant improvement in measurement precision and surface geometry compared to single exposure scans.
  • Achieved reduced mean deviation to reference measurements for multi-material industrial parts.
  • Successfully facilitated dimensional measurements of components with high-density material within low-density material.
  • Validated the workflow using a test specimen and two real-world industrial parts.

Conclusions:

  • The proposed DECT workflow offers a robust solution for accurate surface modeling and dimensional measurement of multi-material industrial components.
  • This method enhances the capabilities of 3DCT in metrology, particularly for complex, multi-material parts.
  • The fusion of complementary datasets significantly improves measurement accuracy and reliability over conventional single-scan approaches.