Feature technology and its applications in computer integrated manufacturing

2.50
Hdl Handle:
http://hdl.handle.net/10547/622150
Title:
Feature technology and its applications in computer integrated manufacturing
Authors:
Ding, Lian
Abstract:
Computer aided design and manufacturing (CAD/CAM) has been a focal research area for the manufacturing industry. Genuine CAD/CAM integration is necessary to make products of higher quality with lower cost and shorter lead times. Although CAD and CAM have been extensively used in industry, effective CAD/CAM integration has not been implemented. The major obstacles of CAD/CAM integration are the representation of design and process knowledge and the adaptive ability of computer aided process planning (CAPP). This research is aimed to develop a feature-based CAD/CAM integration methodology. Artificial intelligent techniques such as neural networks, heuristic algorithms, genetic algorithms and fuzzy logics are used to tackle problems. The activities considered include: 1) Component design based on a number of standard feature classes with validity check. A feature classification for machining application is defined adopting ISO 10303-STEP AP224 from a multi-viewpoint of design and manufacture. 2) Search of interacting features and identification of features relationships. A heuristic algorithm has been proposed in order to resolve interacting features. The algorithm analyses the interacting entity between each feature pair, making the process simpler and more efficient. 3) Recognition of new features formed by interacting features. A novel neural network-based technique for feature recognition has been designed, which solves the problems of ambiguity and overlaps. 4) Production of a feature based model for the component. 5) Generation of a suitable process plan covering selection of machining operations, grouping of machining operations and process sequencing. A hybrid feature-based CAPP has been developed using neural network, genetic algorithm and fuzzy evaluating techniques.
Citation:
Ding, L. (2003) 'Feature technology and its applications in computer integrated manufacturing'. PhD thesis. University of Luton.
Publisher:
University of Bedfordshire
Issue Date:
Sep-2003
URI:
http://hdl.handle.net/10547/622150
Type:
Thesis or dissertation
Language:
en
Description:
A Thesis submitted for the degree of Doctor of Philosophy of University of Luton
Appears in Collections:
PhD e-theses

Full metadata record

DC FieldValue Language
dc.contributor.authorDing, Lianen
dc.date.accessioned2017-07-13T11:59:19Z-
dc.date.available2017-07-13T11:59:19Z-
dc.date.issued2003-09-
dc.identifier.citationDing, L. (2003) 'Feature technology and its applications in computer integrated manufacturing'. PhD thesis. University of Luton.en
dc.identifier.urihttp://hdl.handle.net/10547/622150-
dc.descriptionA Thesis submitted for the degree of Doctor of Philosophy of University of Lutonen
dc.description.abstractComputer aided design and manufacturing (CAD/CAM) has been a focal research area for the manufacturing industry. Genuine CAD/CAM integration is necessary to make products of higher quality with lower cost and shorter lead times. Although CAD and CAM have been extensively used in industry, effective CAD/CAM integration has not been implemented. The major obstacles of CAD/CAM integration are the representation of design and process knowledge and the adaptive ability of computer aided process planning (CAPP). This research is aimed to develop a feature-based CAD/CAM integration methodology. Artificial intelligent techniques such as neural networks, heuristic algorithms, genetic algorithms and fuzzy logics are used to tackle problems. The activities considered include: 1) Component design based on a number of standard feature classes with validity check. A feature classification for machining application is defined adopting ISO 10303-STEP AP224 from a multi-viewpoint of design and manufacture. 2) Search of interacting features and identification of features relationships. A heuristic algorithm has been proposed in order to resolve interacting features. The algorithm analyses the interacting entity between each feature pair, making the process simpler and more efficient. 3) Recognition of new features formed by interacting features. A novel neural network-based technique for feature recognition has been designed, which solves the problems of ambiguity and overlaps. 4) Production of a feature based model for the component. 5) Generation of a suitable process plan covering selection of machining operations, grouping of machining operations and process sequencing. A hybrid feature-based CAPP has been developed using neural network, genetic algorithm and fuzzy evaluating techniques.en
dc.language.isoenen
dc.publisherUniversity of Bedfordshireen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectComputer aided design and manufacturingen
dc.subjectcomputer integrated manufacturingen
dc.subjectCAD/CAMen
dc.subjectcomputer aided process planningen
dc.subjectH130 Computer-Aided Engineeringen
dc.titleFeature technology and its applications in computer integrated manufacturingen
dc.typeThesis or dissertationen
dc.type.qualificationnamePhDen_GB
dc.type.qualificationlevelPhDen
dc.publisher.institutionUniversity of Bedfordshireen
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