The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Microwave and millimeter wave nondestructive testing and evaluation - Overview and recent advances
Abstract
This article focuses on three recent applications of microwave and millimeter wave NDTE 2) corrosion and precursor pitting detection in painted aluminum and steel substrates; and 3) detection of flaws in spray-on foam insulation and the acreage heat tiles of the Space Shuttle through focused and synthetic imaging techniques. These applications have been performed at the Applied Microwave Nondestructive Testing Laboratory (amntl) at the University of Missouri-Rolla.
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Citations
Cites
Electromagnetic Mixing Formulas and Applications
Sihvola, A. (1999) · doi:10.1049/pbew047e · Cited by 1,838 · cited 1×
“... of microwave and millimeter wave NDT&E has been applied to the following diverse applications: ◗ dielectric material characterization using a diverse array of techniques and for a wide range of applications including dielectric property characterization, dielectric mixture constituent determination, porosity evalu…”
Cited by
Nsengiyumva, W., Zhong, S., Lin, J., Zhang, Q., Zhong, J., & Huang, Y. (2021) · Composite Structures · doi:10.1016/j.compstruct.2020.112951 · Cited by 325
Metadata
- Authors
- Kharkovsky, S., & Zoughi, R.
- Venue
- IEEE Instrumentation & Measurement Magazine
- Published
- 2007-04
- Volume
- 10
- Issue
- 2
- Pages
- 26-38
- ISSN
- 1094-6969 (ISSN-L)
- OpenAlex
- W2078940259
- Cited by
- 552
- References
- 1
- FWCI
- 17.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kharkovsky, S., & Zoughi, R. (2007). Microwave and millimeter wave nondestructive testing and evaluation - Overview and recent advances. IEEE Instrumentation & Measurement Magazine. https://doi.org/10.1109/mim.2007.364985
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
