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Simulation of Speckle Interferometric Results for Enhanced Measurement and Automated Defect Detection

Jessica Plassmann, Michael Schuth, Georg von Freymann

TL;DR

This research focuses on developing a simulation code for speckle interferometric results derived from finite element analyses to improve the parameter settings of speckle interferometry measurements and create specific datasets, which will be used to develop machine learning-based methods for automation in series production.

Abstract

Techniques like speckle holography and shearography are rarely applied due to the complexity of instrument setup and lack of automated result analysis, despite their potential. By simulating speckle interferometric outcomes, we seek to address these challenges, enabling more efficient measurement processes and paving the way for automated defect recognition. This research focuses on developing a simulation code for speckle interferometric results derived from finite element analyses. The aim is to improve the parameter settings of speckle interferometry measurements and create specific datasets, which will be used to develop machine learning-based methods for automation in series production.

Simulation of Speckle Interferometric Results for Enhanced Measurement and Automated Defect Detection

TL;DR

This research focuses on developing a simulation code for speckle interferometric results derived from finite element analyses to improve the parameter settings of speckle interferometry measurements and create specific datasets, which will be used to develop machine learning-based methods for automation in series production.

Abstract

Techniques like speckle holography and shearography are rarely applied due to the complexity of instrument setup and lack of automated result analysis, despite their potential. By simulating speckle interferometric outcomes, we seek to address these challenges, enabling more efficient measurement processes and paving the way for automated defect recognition. This research focuses on developing a simulation code for speckle interferometric results derived from finite element analyses. The aim is to improve the parameter settings of speckle interferometry measurements and create specific datasets, which will be used to develop machine learning-based methods for automation in series production.

Paper Structure

This paper contains 12 sections, 3 equations, 4 figures.

Table of Contents

  1. Introduction
  2. Method
  3. Design of Test Component
  4. Loading Methods
  5. Simulation Framework
  6. Finite Element Analysis Model
  7. Generation of Synthetic Shearograms
  8. Validation Process - Experimental Shearographic Testing
  9. Results and Discussion
  10. Fringe Pattern Comparison
  11. Effect of Wavelength
  12. Conclusion

Figures (4)

  • Figure 1: Designed test component with applied defects (left) and corresponding sketch showing main dimensions (right)
  • Figure 2: Schematic representation of shearography measurement setups using spatial phase shifting: (a) Mach–Zehnder interferometer and (b) Michelson interferometer. Own illustration based on Petry:21
  • Figure 3: Fringe patterns from real measurements (a, c) and simulations (b, d) acquired during the cooling phase at a wavelength of 635 nm. The images show the phase difference between two deformation states recorded at $t = 2\,\text{s}$ and $t = 4\,\text{s}$ for shearing distances of (a, c) 1 mm and (b, d) 5 mm in the $x$-direction.
  • Figure 4: Measurement and simulation results for the flat-bottom hole with a shearing distance of 5 mm at different wavelengths: (a) 450 nm, (b) 532 nm, and (c) 635 nm. The inverted butterfly pattern becomes more pronounced with shorter wavelengths.