The primary guide for welding inspection technology is the AWS WIT-T:2020, Welding Inspection Technology
Social distancing and travel restrictions necessitated remote auditing and virtual inspection solutions.
Recent, up-to-date (2024-2026) that built on these 2020/2021 developments.
This was the standout trend of 2020–2021. The sheer volume of data generated by digital PAUT and radiography overwhelmed human reviewers, necessitating AI intervention. welding inspection technology 2020 pdf 2021
Film radiography declined sharply in 2020–2021 due to:
The foundation of weld inspection relies on both conventional and advanced Non-Destructive Testing (NDT) methods:
Reduced radiation via DR, use of robotic crawlers and drones Highly dependent on individual inspector interpretation Enhanced by Automated Flaw Recognition (AFR) software Conclusion The primary guide for welding inspection technology is
Covers welding geometry, symbols, metallurgy, destructive testing, surface NDT methods, and visual inspection criteria.
The integration of Total Focusing Method (TFM) and Full Matrix Capture (FMC) . These algorithms processed raw ultrasonic data to provide unprecedented spatial resolution, allowing inspectors to easily differentiate between critical volumetric flaws (like slag inclusions) and planar flaws (like lack of fusion). Digital Radiography (DR) and Computed Radiography (CR)
During 2020–2021, major standardization bodies updated codes to reflect these technologies. The sheer volume of data generated by digital
The years 2020 and 2021 represented a pivotal juncture in the field of Non-Destructive Testing (NDT) and welding inspection. While the fundamental physics of welding—fusion, penetration, and metallurgical integrity—remained constant, the methodologies used to verify these properties underwent a rapid acceleration in digitalization. This period was defined by two opposing forces: the necessity of remote operation driven by the COVID-19 pandemic, and the maturation of Industry 4.0 technologies such as automated ultrasonic testing (AUT) and digitized radiography. An analysis of the literature and technical documentation from this era reveals a distinct shift from conventional manual inspection toward data-driven, automated quality assurance.
The transition from paper-based inspection logs to secure, cloud-based PDF reports and real-time data streaming.