Inspection reliability of small-scale defects, targeting dimensions below 100 µm, is crucial for
structural safety of critical components in high-value applications. Early defects are often …

Additive manufacturing (AM) techniques are maturing and penetrating every aspect of the
industry. With more and more design, process, structure, and property data collected …

Metamaterials, also known as lattice‐structured materials, imitate the multifunctionality of
natural architects as tailoring their physical properties is associated with manipulating their …

Machine learning (ML) methods are pervading an increasing number of fields of application
because of their capacity to effectively solve a wide variety of challenging problems. The …

Acoustic nonlinearity and loss are found to be positively correlated with porosity at
industrially relevant levels of less than half a percent in commercially pure aluminum …

Resonant ultrasound spectroscopy (RUS) is a non-destructive technique to calculate
material elastic constants from resonant frequencies. However, low quality factor (ie, low-Q) …

The additive manufacturing technologies develop very fast in recent years. However, we still
face the problem of lacking online feedback for the system, and the reliability and robustness …

Abstract Acoustic Resonance Testing is a nondestructive testing method based on the
analysis of eigenfrequencies of structures. While it is a well-established technique for …

This study aims to enhance the detection and characterisation of anomalies in manufactured
parts by integrating machine learning (ML) with resonance frequency spectra data. A key …

The utility of resonant ultrasonic testing for quality control of complex-shaped additively
manufactured (AM) components in terms of porosity variations is investigated. A fully non …