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Materials Evaluation (ME) is ASNT's flagship journal with news and features covering all aspects of NDT and the NDT industry. The technical content in ME is peer-reviewed by qualified technicians and researchers, ensuring quality information and discussion.

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ASNT 2024: Your Complete Preview

October 2024 - Volume 82, Issue 10

The October issue of Materials Evaluation is now available! Get a sneak peek of the events and exhibitors at ASNT 2024, discover how generative AI can enhance nondestructive evaluation (NDE), and learn about a specialized ring array probe for inspecting fatigue cracks in wind turbines.

Additionally, dive into groundbreaking research on magnetostrictive EMAT sensors for detecting stress corrosion cracking in stainless steel spent fuel canisters and the integration of eddy current techniques with machine learning for estimating metal cracks. Plus, don’t miss your favorite sections, including Industry News, Standards Updates, New Products, ASNT news, and member profiles! 

Read The Latest Edition 

Previous Editions

Materials Evaluation

September 2024 – Volume 82, Issue 9

This edition covers the impact of digital transformation on NDT, the EU Data Act’s effects on the industry, and ASNT's new ATO certification program. It also highlights research on NDE of weld microstructures in power plants and concrete failure.

Materials Evaluation

August 2024 – Volume 82, Issue 8

This issue addresses ethics in nondestructive testing, including AI implications and ASNT logo usage. It also explores machine learning for composite aging, PCI for chrome carbide overlays, and enhancing NDE reliability in Grade 91 steel welds.

Materials Evaluation

July 2024 – Volume 82, Issue 7

This issue focuses on advances in VT, covering robotics for confined spaces, remote VT for gas turbines, machine-vision tools for automotive repair, global VT certification, and digital twins for training.

Materials Evaluation

June 2024 – Volume 82, Issue 6

This issue features the 2024 Buyers Guide. Explore wireless ultrasonic sensors for asset monitoring, low-frequency ultrasonic attenuation in metals, subsurface defect evaluation in lead seals, ISO/TS 22499, and AI-assisted wind turbine blade analysis.

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