Automated real-time detection of defects during machining of ceramics
Abstract
Apparatus for the automated real-time detection and classification of defects during the machining of ceramic components employs an elastic optical scattering technique using polarized laser light. A ceramic specimen is continuously moved while being machined. Polarized laser light is directed onto the ceramic specimen surface at a fixed position just aft of the machining tool for examination of the newly machined surface. Any foreign material near the location of the laser light on the ceramic specimen is cleared by an air blast. As the specimen is moved, its surface is continuously scanned by the polarized laser light beam to provide a two-dimensional image presented in real-time on a video display unit, with the motion of the ceramic specimen synchronized with the data acquisition speed. By storing known "feature masks" representing various surface and sub-surface defects and comparing measured defects with the stored feature masks, detected defects may be automatically characterized. Using multiple detectors, various types of defects may be detected and classified.
- Inventors:
-
- Naperville, IL
- Westmont, IL
- Issue Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- OSTI Identifier:
- 871237
- Patent Number(s):
- 5689332
- Assignee:
- University of Chicago (Chicago, IL)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- DOE Contract Number:
- W-31109-ENG-38
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- automated; real-time; detection; defects; machining; ceramics; apparatus; classification; ceramic; components; employs; elastic; optical; scattering; technique; polarized; laser; light; specimen; continuously; moved; machined; directed; surface; fixed; position; tool; examination; newly; foreign; material; near; location; cleared; air; blast; scanned; beam; provide; two-dimensional; image; video; display; unit; motion; synchronized; data; acquisition; speed; storing; feature; masks; representing; various; sub-surface; comparing; measured; stored; detected; automatically; characterized; multiple; detectors; types; classified; surface defects; ceramic components; ceramic component; data acquisition; light beam; laser light; various types; fixed position; polarized laser; video display; real-time detection; two-dimensional image; optical scattering; display unit; ceramic specimen; foreign material; dimensional image; scattering technique; various surface; air blast; automated real-time; machined surface; machining tool; /356/250/
Citation Formats
Ellingson, William A, and Sun, Jiangang. Automated real-time detection of defects during machining of ceramics. United States: N. p., 1997.
Web.
Ellingson, William A, & Sun, Jiangang. Automated real-time detection of defects during machining of ceramics. United States.
Ellingson, William A, and Sun, Jiangang. Wed .
"Automated real-time detection of defects during machining of ceramics". United States. https://www.osti.gov/servlets/purl/871237.
@article{osti_871237,
title = {Automated real-time detection of defects during machining of ceramics},
author = {Ellingson, William A and Sun, Jiangang},
abstractNote = {Apparatus for the automated real-time detection and classification of defects during the machining of ceramic components employs an elastic optical scattering technique using polarized laser light. A ceramic specimen is continuously moved while being machined. Polarized laser light is directed onto the ceramic specimen surface at a fixed position just aft of the machining tool for examination of the newly machined surface. Any foreign material near the location of the laser light on the ceramic specimen is cleared by an air blast. As the specimen is moved, its surface is continuously scanned by the polarized laser light beam to provide a two-dimensional image presented in real-time on a video display unit, with the motion of the ceramic specimen synchronized with the data acquisition speed. By storing known "feature masks" representing various surface and sub-surface defects and comparing measured defects with the stored feature masks, detected defects may be automatically characterized. Using multiple detectors, various types of defects may be detected and classified.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 00:00:00 EST 1997},
month = {Wed Jan 01 00:00:00 EST 1997}
}
Works referenced in this record:
Analytic Calculations and Numerical Simulations of Box-Car Thermal Wave Images of Planar Subsurface Scatterers
book, January 1992
- Crowther, D. J.; Favro, L. D.; Kuo, P. K.
- Review of Progress in Quantitative Nondestructive Evaluation