Optimization of multiscale digital speckle patterns for multiscale deformation measurement using stereo-digital image...

Area of Science:

• Materials Science
• Mechanical Engineering
• Optics

Background:

• Multiscale stereo-digital image correlation (stereo-DIC) enables deformation quantification in complex scenarios.
• Optimizing digital speckle patterns (DSPs) is crucial for accurate and efficient multiscale deformation measurements.
• Existing methods may lack the adaptability for simultaneous monitoring across diverse scales.

Purpose of the Study:

• To optimize and fabricate multispectral DSPs for multiscale stereo-DIC applications.
• To enhance the accuracy and efficiency of deformation measurement across multiple fields of view (FOVs).
• To develop a novel DSP for simultaneous monitoring of three FOVs.

Main Methods:

• Optimization of DSPs using spatial modulation and specified spectra for two FOVs.
• Fabrication of spatially modulated visible DSPs and ultraviolet-excited blue DSPs.
• Design and experimental validation of a combined multispectral DSP for three FOVs.

Main Results:

• Demonstrated optimization of DSPs for dual-FOV measurements using spatial modulation and spectral properties.
• Successfully fabricated and tested multispectral DSPs combining visible and UV-excited blue light.
• Experimental validation confirmed the functionality and utility of the designed multiscale DSP for three FOVs.

Conclusions:

• The developed multispectral DSPs are effective for multiscale stereo-DIC.
• This approach provides adequate full-field data for validating localized or kinetic mechanical behavior.
• Optimized multispectral DSPs enhance precision and efficiency in material deformation analysis.