Submissions

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About

Quantitative nondestructive evaluation (QNDE) is a highly interdisciplinary technology that involves the use of various techniques to detect both manufacturing and service related flaws in materials and structures which are important to safety in essentially all industries. The Annual Review is a week-long technical meeting in which both advances in fundamental knowledge and new engineering applications in several measurement technologies—ultrasonics, eddy currents,X-rays, thermosonics and thermography, among others—are reported and discussed. For more than four decades, the QNDE Conference has been identified as the world's leading research/engineering conference in this specialized engineering field.

Focus and Scope

We are accepting extended (3-page) abstracts for presentations accepted and presented at the 46th Annual Review of Progress in Quantitative Nondestructive Evaluation.

Copyright Notice

Authors who publish abstracts from the Review of Progress in Quantitative Nondestructive Evaluation through the Iowa State University Digital Press retain ownership of the copyright in their abstracts and may publish their abstract or full articles based on the work discussed in their abstract elsewhere. In order to publish, manage, and preserve the abstract, authors grant Iowa State University non-exclusive permission to reproduce, distribute, make derivative works of, and display the abstract.

Licences

Review of Progress in Quantitative Nondestructive Evaluation allows the following licences for submission:

  • Copyright
    © the author(s). All rights reserved.




Sections

Section or article type

Public Submissions

Peer Reviewed

Indexed

Additive Manufacturing and other Advances

Thermography and Thermosonics

NDE of Composites

Resonant NDE and Ultrasonic Scattering

Structural Health Monitoring and Prognostics

Nuclear Power NDE

None

Guided Waves

New QNDE Technology and Techniques and QNDE in Design

Fundamentals of all QNDE Methods

Materials and Microstructure Characterization and Meta-materials

Machine-learning, AI, and Statistical methods in NDE

Stress-wave based NDE for Structures

Digital Twin and Data Integration

Signal Processing and Image Analysis

Sensors, Transducers and Probes

Micowave, Millimeter and THz Waves

Model-assisted Probability of Detection

NDE-SHM for Industry

Ultrasonic Phased Arrays

Radiography, Digital Radiography and Computed Tomography

Nonlinear Ultrasonics

NDE and NDT for Infrastructure—Civil Engineering

Eddy Current NDE