An expert system for the validation and interpretation of x-ray residual stress data
Although widely recognized in the research community as one of the most accurate non-destructive methods for the determination of residual stress in polycrystalline structural materials, X-ray diffraction has not been widely adopted in the field. This is partly due to the fact that such measurements...
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ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-453132021-05-15T05:26:32Z An expert system for the validation and interpretation of x-ray residual stress data Tricard, Marc J. M. Materials Engineering LD5655.V855 1991.T753 Expert systems (Computer science) X-rays -- Research Although widely recognized in the research community as one of the most accurate non-destructive methods for the determination of residual stress in polycrystalline structural materials, X-ray diffraction has not been widely adopted in the field. This is partly due to the fact that such measurements require, most often, a well-trained user with knowledge in both materials and mechanical sciences in addition to the specific know-how of the instrument. We believe that computer assistance could contribute to the promotion of this technique by increasing the productivity and accuracy of these measurements. We have developed a prototype of an expert system, using Nexpert Object's shell, to assist a non-trained operator in the validation and interpretation of X-ray diffraction residual stress data. The present work describes this prototype which has been designed to confirm the feasibility of the concept. Its knowledge base contains relevant examples of the rules necessary for data validation. The prototype has also validated most of the concepts required for the implementation of a full-scaled version by evaluating all of the major technical features such as graphics representation, external routine calls, and databases access. We have implemented significant rules to validate an experiment, link our expert system with a database management system, develop a superset of data able to receive output from any existing X-ray machine, and are working with a statistical pattern recognition software to discriminate between various d-vs-sin²Psi curves, to classify our data. Master of Science 2014-03-14T21:48:12Z 2014-03-14T21:48:12Z 1991 2009-10-24 2009-10-24 2009-10-24 Thesis Text etd-10242009-020322 http://hdl.handle.net/10919/45313 http://scholar.lib.vt.edu/theses/available/etd-10242009-020322/ en OCLC# 24346691 LD5655.V855_1991.T753.pdf In Copyright http://rightsstatements.org/vocab/InC/1.0/ xi, 150 leaves BTD application/pdf application/pdf Virginia Tech |
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LD5655.V855 1991.T753 Expert systems (Computer science) X-rays -- Research |
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LD5655.V855 1991.T753 Expert systems (Computer science) X-rays -- Research Tricard, Marc J. M. An expert system for the validation and interpretation of x-ray residual stress data |
description |
Although widely recognized in the research community as one of the most accurate non-destructive methods for the determination of residual stress in polycrystalline structural materials, X-ray diffraction has not been widely adopted in the field. This is partly due to the fact that such measurements require, most often, a well-trained user with knowledge in both materials and mechanical sciences in addition to the specific know-how of the instrument. We believe that computer assistance could contribute to the promotion of this technique by increasing the productivity and accuracy of these measurements. We have developed a prototype of an expert system, using Nexpert Object's shell, to assist a non-trained operator in the validation and interpretation of X-ray diffraction residual stress data.
The present work describes this prototype which has been designed to confirm the feasibility of the concept. Its knowledge base contains relevant examples of the rules necessary for data validation. The prototype has also validated most of the concepts required for the implementation of a full-scaled version by evaluating all of the major technical features such as graphics representation, external routine calls, and databases access. We have implemented significant rules to validate an experiment, link our expert system with a database management system, develop a superset of data able to receive output from any existing X-ray machine, and are working with a statistical pattern recognition software to discriminate between various d-vs-sin²Psi curves, to classify our data. === Master of Science |
author2 |
Materials Engineering |
author_facet |
Materials Engineering Tricard, Marc J. M. |
author |
Tricard, Marc J. M. |
author_sort |
Tricard, Marc J. M. |
title |
An expert system for the validation and interpretation of x-ray residual stress data |
title_short |
An expert system for the validation and interpretation of x-ray residual stress data |
title_full |
An expert system for the validation and interpretation of x-ray residual stress data |
title_fullStr |
An expert system for the validation and interpretation of x-ray residual stress data |
title_full_unstemmed |
An expert system for the validation and interpretation of x-ray residual stress data |
title_sort |
expert system for the validation and interpretation of x-ray residual stress data |
publisher |
Virginia Tech |
publishDate |
2014 |
url |
http://hdl.handle.net/10919/45313 http://scholar.lib.vt.edu/theses/available/etd-10242009-020322/ |
work_keys_str_mv |
AT tricardmarcjm anexpertsystemforthevalidationandinterpretationofxrayresidualstressdata AT tricardmarcjm expertsystemforthevalidationandinterpretationofxrayresidualstressdata |
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1719404653223870464 |