ABSTRACT Friction Stir Processing (FSP) has become a leading technique to produce
surface composite on the surface of various materials such as aluminum, magnesium …

Recent years have seen a substantial increase in the application of machine learning (ML)
for automated analysis of nondestructive examination (NDE) data. One of the applications of …

Friction stir welding (FSW) has developed as an alternative to conventional fusion-based
welding. This paper provides an overview of the recent research on “Friction Stir Welding …

The increase in utilization of FSW process demands online monitoring system for early
detection and control of defects. This research attempts to develop a system for detection …

The increasing mechanical and economical demands in modern systems and structures are
forcing an inevitable need for joining dissimilar materials, thus creating the challenge of …

Combined harmonics at sum-or difference-frequencies can be generated by the cross-
interactions of guided wave mixing in tested samples with material nonlinearity. However, it …

Topographical features such as welds, stiffeners, and bends in plate-like structures have
been identified as special local waveguides, which are able to render ultrasonic wave …

One of the serious issues of traditional signal processing techniques in analyzing the
responses of real-life structures is related to the presentation of fundamental information of …

Structural health monitoring (SHM) is important for the operational safety and stability of
industrial pipeline systems. In this paper, a data-driven and finite-element-based method for …

An effective nondestructive evaluation technique that enables the detection and
quantification of subsurface defects is highly demanded for assuring safety and reliability of …