| Abstract Scope |
Ultrasonic characterization has emerged as a promising tool for evaluating materials produced by advanced manufacturing processes. However, conventional ultrasonic inspection often relies on individual features, such as signal amplitude, which provide only a limited representation of the complex microstructural changes occurring during fabrication. Because ultrasonic wave propagation is simultaneously influenced by grain morphology, crystallographic texture, porosity, residual stress, and other process-induced material states, no single acoustic parameter can fully describe the evolving manufacturing process.
This presentation explores a physics-informed data fusion framework that integrates multiple ultrasonic observables—including signal amplitude, wave velocity, attenuation, and frequency-domain characteristics—to develop a more comprehensive description of manufacturing-induced material evolution. Each ultrasonic feature captures distinct aspects of wave–material interactions, and their combined interpretation offers the potential to reveal relationships that remain obscured when analyzed independently. The presentation will discuss methodologies for feature extraction, multi-parameter data fusion, and correlation with experimentally measured microstructural characteristics. |