DocumentCode
1762937
Title
Modeling and Design Optimization of an Eddy Current Sensor for Superficial and Subsuperficial Crack Detection in Inconel Claddings
Author
Pereira, Daniel ; Clarke, Thomas G. R.
Author_Institution
Ecole de Technol. Super., Montréal, QC, Canada
Volume
15
Issue
2
fYear
2015
fDate
Feb. 2015
Firstpage
1287
Lastpage
1292
Abstract
Inconel 625 alloys are currently being extensively used as a cladding material for carbon steel pipes. A common fabrication process for this is weld overlay, which can produce defects such as cracks, porosity, inclusions, and lack of fusion. Inspection of the cladded layers is, therefore, important for quality control and structural integrity evaluations. In this paper, finite-element models were used as a tool for eddy current sensor design to optimize their geometry and operating frequency for detection of common, expected defects in these layers. The sensor with the most interesting geometry was then built and tested to validate the results of the model. A good agreement was found between simulated and experimental results, showing that this is a robust strategy for special sensor design.
Keywords
claddings; crack detection; eddy currents; electric current measurement; electric sensing devices; finite element analysis; geometry; mechanical variables measurement; optimisation; Inconel 625 alloy; Inconel cladding material; carbon steel pipe; eddy current sensor; finite-element model; geometry; inclusion; optimization; porosity; quality control; structural integrity evaluation; subsuperficial crack detection; superficial crack detection; weld overlay; Coils; Eddy currents; Geometry; Impedance; Inspection; Materials; Sensors; Eddy currents; Nickel alloys; Nondestructive testing; Production engineering; Sensor phenomena; characterization; nickel alloys; nondestructive testing; production engineering; sensor phenomena and characterization;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2014.2362072
Filename
6917210
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