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Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
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Data registration for multi-method qualification of additive manufactured components.

M Praniewicz1, G Ameta2, J Fox3

  • 1Georgia Institute of Technology, 801 Ferst Drive, Atlanta, GA 30318, United States.

Additive Manufacturing
|March 20, 2023
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Summary

This study improves surface registration for additively manufactured lattices, enhancing multi-method qualification accuracy. A new sampling method reduces measurement variations for complex parts.

Keywords:
Additive manufacturingLatticesQualificationTolerancing

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Area of Science:

  • Metrology and Additive Manufacturing
  • Surface Registration Techniques
  • Quality Assurance for Complex Geometries

Background:

  • Additive Manufacturing (AM) presents challenges for metrological qualification due to complex geometries.
  • Existing surface registration methods require refinement for accurate multi-method qualification of AM lattices.
  • Draft standards propose supplemental surface definitions, but their application to complex AM structures needs examination.

Purpose of the Study:

  • To refine surface registration methods for metrological datasets of additively manufactured lattices.
  • To improve the accuracy and reduce variation in multi-method qualification of AM parts.
  • To investigate the application of theoretical supplemental surface definitions in complex AM structures.

Main Methods:

  • Alignment of X-ray computed tomography and coordinate measurement machine datasets using derived geometry datum features.
  • Development of a refined, spatially-dependent subsampling approach for lattice geometry registration.
  • Statistical analysis to assess the variation reduction between different measurement sources.

Main Results:

  • The refined sampling registration approach statistically decreases variation between measurement sources.
  • The derived geometry datum features, based on supplemental surface definitions, facilitate accurate alignment.
  • Demonstrated reduction in variability for multi-method qualification of additively manufactured lattices.

Conclusions:

  • A refined sampling registration method enhances the multi-method qualification accuracy of additively manufactured lattices.
  • Well-defined sampling practices and theoretical supplemental surface definitions are crucial for complex AM part qualification.
  • This work provides a foundation for utilizing new standard specifications and verification techniques in AM metrology.