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- Publisher Website: 10.1080/00207549508904885
- Scopus: eid_2-s2.0-0029514323
- WOS: WOS:A1995TE31500015
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Article: A knowledge-based approach to automated machining process selection and sequencing
Title | A knowledge-based approach to automated machining process selection and sequencing |
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Authors | |
Issue Date | 1995 |
Publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp |
Citation | International Journal Of Production Research, 1995, v. 33 n. 12, p. 3465-3484 How to Cite? |
Abstract | This paper describes an expert module for automatic process selection and sequencing. This process selection and sequencing algorithm comprises three sub-algorithms, the transformation algorithm, the refinement algorithm and the linearization algorithm. The module is a part of a prototype expert process planning system for the machining of prismatic parts. In this prototype CAPP system, both the part description and the operation sequence are represented by a tree structure. To generate the process sequence for a given part, an operation tree is converted from the geometric description in the transformation algorithm and this tree will then be refined and then linearized to the final process sequence. The system is equipped with a sequence knowledge-base which records various types of information including the process capabilities, filling knowledge, surface priority, surface knowledge, refinement knowledge, and linearizing strategy. |
Persistent Identifier | http://hdl.handle.net/10722/177624 |
ISSN | 2023 Impact Factor: 7.0 2023 SCImago Journal Rankings: 2.668 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wong, TN | en_US |
dc.contributor.author | Siu, SL | en_US |
dc.date.accessioned | 2012-12-19T09:38:25Z | - |
dc.date.available | 2012-12-19T09:38:25Z | - |
dc.date.issued | 1995 | en_US |
dc.identifier.citation | International Journal Of Production Research, 1995, v. 33 n. 12, p. 3465-3484 | en_US |
dc.identifier.issn | 0020-7543 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/177624 | - |
dc.description.abstract | This paper describes an expert module for automatic process selection and sequencing. This process selection and sequencing algorithm comprises three sub-algorithms, the transformation algorithm, the refinement algorithm and the linearization algorithm. The module is a part of a prototype expert process planning system for the machining of prismatic parts. In this prototype CAPP system, both the part description and the operation sequence are represented by a tree structure. To generate the process sequence for a given part, an operation tree is converted from the geometric description in the transformation algorithm and this tree will then be refined and then linearized to the final process sequence. The system is equipped with a sequence knowledge-base which records various types of information including the process capabilities, filling knowledge, surface priority, surface knowledge, refinement knowledge, and linearizing strategy. | en_US |
dc.language | eng | en_US |
dc.publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp | en_US |
dc.relation.ispartof | International Journal of Production Research | en_US |
dc.title | A knowledge-based approach to automated machining process selection and sequencing | en_US |
dc.type | Article | en_US |
dc.identifier.email | Wong, TN: tnwong@hku.hk | en_US |
dc.identifier.authority | Wong, TN=rp00192 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1080/00207549508904885 | - |
dc.identifier.scopus | eid_2-s2.0-0029514323 | en_US |
dc.identifier.hkuros | 14481 | - |
dc.identifier.volume | 33 | en_US |
dc.identifier.issue | 12 | en_US |
dc.identifier.spage | 3465 | en_US |
dc.identifier.epage | 3484 | en_US |
dc.identifier.isi | WOS:A1995TE31500015 | - |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.scopusauthorid | Wong, TN=55301015400 | en_US |
dc.identifier.scopusauthorid | Siu, SL=7006115284 | en_US |
dc.identifier.issnl | 0020-7543 | - |