PHYSICALLY MODELED FEATURE-BASED ULTRASONIC SYSTEM FOR IGSCC CLASSIFICATION.

Joseph Lawrence Rose, Michael J. Avioli, Mel Lapides

Research output: Contribution to specialist publicationArticle

6 Citations (Scopus)

Abstract

This paper discusses the considerations that must be taken into account for the reliable detection and classification of intergranular stress corrosion cracks (IGSCC). Because 304 grade stainless steel (304SS) is the host material for IGSCC in this investigation, signed enhancement is critical. Good signals indicate only a reflector, but not its type. Reflector classification is explored using the methods of pattern recognition. Search unit requirements, based on acceptability for use and the possibility of compensating the unit for proper use, are discussed next. Decision schemes, or algorithms for classifying IGSCC versus geometric type reflectors, are explained along with the data base requirement necessary for system credibility. A description is given of possible instrumentation for such algorithms. Suggestions that involve the man-machine interface of in-service inspection intelligence and computerized intelligence are given for field usage. Lastly, the importance of good physical models of IGSCC is stressed.

Original languageEnglish (US)
Pages1367-1373
Number of pages7
Volume40
No13
Specialist publicationMaterials Evaluation
StatePublished - Jan 1 1982

Fingerprint

Ultrasonics
Corrosion
Cracks
Stainless Steel
Pattern recognition
Stainless steel
Inspection

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

Rose, J. L., Avioli, M. J., & Lapides, M. (1982). PHYSICALLY MODELED FEATURE-BASED ULTRASONIC SYSTEM FOR IGSCC CLASSIFICATION. Materials Evaluation, 40(13), 1367-1373.
Rose, Joseph Lawrence ; Avioli, Michael J. ; Lapides, Mel. / PHYSICALLY MODELED FEATURE-BASED ULTRASONIC SYSTEM FOR IGSCC CLASSIFICATION. In: Materials Evaluation. 1982 ; Vol. 40, No. 13. pp. 1367-1373.
@misc{fb81e94a30784c1d98192521d54fd35c,
title = "PHYSICALLY MODELED FEATURE-BASED ULTRASONIC SYSTEM FOR IGSCC CLASSIFICATION.",
abstract = "This paper discusses the considerations that must be taken into account for the reliable detection and classification of intergranular stress corrosion cracks (IGSCC). Because 304 grade stainless steel (304SS) is the host material for IGSCC in this investigation, signed enhancement is critical. Good signals indicate only a reflector, but not its type. Reflector classification is explored using the methods of pattern recognition. Search unit requirements, based on acceptability for use and the possibility of compensating the unit for proper use, are discussed next. Decision schemes, or algorithms for classifying IGSCC versus geometric type reflectors, are explained along with the data base requirement necessary for system credibility. A description is given of possible instrumentation for such algorithms. Suggestions that involve the man-machine interface of in-service inspection intelligence and computerized intelligence are given for field usage. Lastly, the importance of good physical models of IGSCC is stressed.",
author = "Rose, {Joseph Lawrence} and Avioli, {Michael J.} and Mel Lapides",
year = "1982",
month = "1",
day = "1",
language = "English (US)",
volume = "40",
pages = "1367--1373",
journal = "Materials Evaluation",
issn = "0025-5327",
publisher = "American Society for Nondestructive Testing",

}

Rose, JL, Avioli, MJ & Lapides, M 1982, 'PHYSICALLY MODELED FEATURE-BASED ULTRASONIC SYSTEM FOR IGSCC CLASSIFICATION.' Materials Evaluation, vol. 40, no. 13, pp. 1367-1373.

PHYSICALLY MODELED FEATURE-BASED ULTRASONIC SYSTEM FOR IGSCC CLASSIFICATION. / Rose, Joseph Lawrence; Avioli, Michael J.; Lapides, Mel.

In: Materials Evaluation, Vol. 40, No. 13, 01.01.1982, p. 1367-1373.

Research output: Contribution to specialist publicationArticle

TY - GEN

T1 - PHYSICALLY MODELED FEATURE-BASED ULTRASONIC SYSTEM FOR IGSCC CLASSIFICATION.

AU - Rose, Joseph Lawrence

AU - Avioli, Michael J.

AU - Lapides, Mel

PY - 1982/1/1

Y1 - 1982/1/1

N2 - This paper discusses the considerations that must be taken into account for the reliable detection and classification of intergranular stress corrosion cracks (IGSCC). Because 304 grade stainless steel (304SS) is the host material for IGSCC in this investigation, signed enhancement is critical. Good signals indicate only a reflector, but not its type. Reflector classification is explored using the methods of pattern recognition. Search unit requirements, based on acceptability for use and the possibility of compensating the unit for proper use, are discussed next. Decision schemes, or algorithms for classifying IGSCC versus geometric type reflectors, are explained along with the data base requirement necessary for system credibility. A description is given of possible instrumentation for such algorithms. Suggestions that involve the man-machine interface of in-service inspection intelligence and computerized intelligence are given for field usage. Lastly, the importance of good physical models of IGSCC is stressed.

AB - This paper discusses the considerations that must be taken into account for the reliable detection and classification of intergranular stress corrosion cracks (IGSCC). Because 304 grade stainless steel (304SS) is the host material for IGSCC in this investigation, signed enhancement is critical. Good signals indicate only a reflector, but not its type. Reflector classification is explored using the methods of pattern recognition. Search unit requirements, based on acceptability for use and the possibility of compensating the unit for proper use, are discussed next. Decision schemes, or algorithms for classifying IGSCC versus geometric type reflectors, are explained along with the data base requirement necessary for system credibility. A description is given of possible instrumentation for such algorithms. Suggestions that involve the man-machine interface of in-service inspection intelligence and computerized intelligence are given for field usage. Lastly, the importance of good physical models of IGSCC is stressed.

UR - http://www.scopus.com/inward/record.url?scp=0020266931&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0020266931&partnerID=8YFLogxK

M3 - Article

VL - 40

SP - 1367

EP - 1373

JO - Materials Evaluation

JF - Materials Evaluation

SN - 0025-5327

ER -