Submissions
This page is designed to help you ensure your submission is ready for and fits the scope of the journal.
Before submitting you should read over the guidelines here, then register an account (or login if you have an existing account)
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
Public Submissions
Peer Reviewed
Indexed
New QNDE Technology and Techniques and QNDE in Design
Fundamentals of all QNDE Methods
Nuclear Power NDE
NDE-SHM for Industry
Ultrasonic Phased Arrays
Structural Health Monitoring and Prognostics
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
Additive Manufacturing and other Advances
Thermography and Thermosonics
NDE of Composites
Resonant NDE and Ultrasonic Scattering
Nonlinear Ultrasonics
NDE and NDT for Infrastructure—Civil Engineering
Eddy Current NDE
Guided Waves
Radiography, Digital Radiography and Computed Tomography
None