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

TL;DR

This paper presents a simulation approach for speckle interferometry results to facilitate automated defect detection and improve measurement efficiency, addressing current challenges in instrument setup and analysis complexity.

Contribution

It introduces a novel simulation code for speckle interferometric data based on finite element analyses, enabling automated defect recognition and optimized measurement parameters.

Findings

Development of a speckle interferometry simulation tool

Generation of datasets for machine learning-based automation

Potential for improved measurement accuracy and defect detection

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.