Detection of defects in a 2D fluid-solid periodic cluster.

Area of Science:

• Physics
• Materials Science
• Signal Processing

Background:

• Classical defect imaging methods assume homogeneous media, limiting accuracy in heterogeneous environments.
• Heterogeneous media, like fluid-solid composites, present challenges for traditional defect localization techniques.
• Topological imaging offers a framework to account for medium heterogeneity in defect detection.

Purpose of the Study:

• To develop and evaluate a novel topological imaging approach for defect localization in fluid-solid composite media.
• To compare the performance of different imaging processes, including a new hybrid method, using synthetic and experimental data.
• To assess the impact of incorporating information about medium inhomogeneities on defect imaging accuracy.

Main Methods:

• Application of a fluid-solid compatible topological imaging function to a complex test case.
• Development of three distinct imaging processes based on varying assumptions of medium property knowledge.
• Comparison of imaging results using both synthetic and experimental datasets.

Main Results:

• The topological imaging framework effectively accounts for the heterogeneous nature of the medium.
• Information on the location of inhomogeneities is beneficial for defect imaging, though not always required at every stage.
• A hybrid topological imaging method was defined, demonstrating improved performance.

Conclusions:

• The proposed hybrid topological imaging method offers a more accurate approach for defect localization in heterogeneous fluid-solid media.
• Leveraging information about medium inhomogeneities enhances defect detection capabilities.
• This work advances defect imaging techniques for complex material compositions.