Knowledge-based approach for stretch blow molding

The general principle of stretch blow molding is easy to describe but in practice it requires considerable knowledge and skill. Currently people apply their own knowledge gained through a blend of experience, intuition, and guesswork. As a result, there could be different solutions proposals for the...

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Bibliographic Details
Main Authors: Ali, Mohammad Yeakub, Bohez, E. L. J.
Format: Conference or Workshop Item
Language:English
Published: 2000
Subjects:
Online Access:http://irep.iium.edu.my/27304/
http://irep.iium.edu.my/27304/1/069_MTA_2000_Singapore_237-242.pdf
id iium-27304
recordtype eprints
spelling iium-273042013-09-03T06:40:08Z http://irep.iium.edu.my/27304/ Knowledge-based approach for stretch blow molding Ali, Mohammad Yeakub Bohez, E. L. J. TJ Mechanical engineering and machinery TS Manufactures The general principle of stretch blow molding is easy to describe but in practice it requires considerable knowledge and skill. Currently people apply their own knowledge gained through a blend of experience, intuition, and guesswork. As a result, there could be different solutions proposals for the same problem. Furthermore, it is not unusual to propose different solution at different times for the same problem. The stretch blow molding process, like other manufacturing processes, appears to be an appropriate domain for knowledge-based system (KBS) development. A KBS was developed to aid the designer for the selection of resin, design of preform and container, and processing. The KBS contains about 200 production rules. A guided forward chaining concept is used for inferencing. The user needs to input the basic requirements such as volume of the container, end use, etc for a systematic advice. 2000 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/27304/1/069_MTA_2000_Singapore_237-242.pdf Ali, Mohammad Yeakub and Bohez, E. L. J. (2000) Knowledge-based approach for stretch blow molding. In: International Conference on Precision Engineering (ICoPE) 2000, 21-23 March 2000, Singapore.
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
Ali, Mohammad Yeakub
Bohez, E. L. J.
Knowledge-based approach for stretch blow molding
description The general principle of stretch blow molding is easy to describe but in practice it requires considerable knowledge and skill. Currently people apply their own knowledge gained through a blend of experience, intuition, and guesswork. As a result, there could be different solutions proposals for the same problem. Furthermore, it is not unusual to propose different solution at different times for the same problem. The stretch blow molding process, like other manufacturing processes, appears to be an appropriate domain for knowledge-based system (KBS) development. A KBS was developed to aid the designer for the selection of resin, design of preform and container, and processing. The KBS contains about 200 production rules. A guided forward chaining concept is used for inferencing. The user needs to input the basic requirements such as volume of the container, end use, etc for a systematic advice.
format Conference or Workshop Item
author Ali, Mohammad Yeakub
Bohez, E. L. J.
author_facet Ali, Mohammad Yeakub
Bohez, E. L. J.
author_sort Ali, Mohammad Yeakub
title Knowledge-based approach for stretch blow molding
title_short Knowledge-based approach for stretch blow molding
title_full Knowledge-based approach for stretch blow molding
title_fullStr Knowledge-based approach for stretch blow molding
title_full_unstemmed Knowledge-based approach for stretch blow molding
title_sort knowledge-based approach for stretch blow molding
publishDate 2000
url http://irep.iium.edu.my/27304/
http://irep.iium.edu.my/27304/1/069_MTA_2000_Singapore_237-242.pdf
first_indexed 2023-09-18T20:40:35Z
last_indexed 2023-09-18T20:40:35Z
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