Artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis
In this project , a generic intelligent feedback system (GIFS), an alternative adaptive control approach, has been developed to monitor and minimise the undersirable variations in the machining process variables. Ball burnishing, a post-machining finishing process, is used as the basis for investiga...
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2008
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| Online Access: | http://hdl.handle.net/10356/6823 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-68232023-03-04T18:06:03Z Artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis Lye, Sun Woh Ho, Nai Choon Chin, Teck Chai Loh, Ngiap Hiang Tam, Siu Chung School of Mechanical and Production Engineering DRNTU::Engineering::Industrial engineering::Information systems In this project , a generic intelligent feedback system (GIFS), an alternative adaptive control approach, has been developed to monitor and minimise the undersirable variations in the machining process variables. Ball burnishing, a post-machining finishing process, is used as the basis for investigation. ARP-M-88-20 2008-09-17T14:35:15Z 2008-09-17T14:35:15Z 1990 1990 Research Report http://hdl.handle.net/10356/6823 Nanyang Technological University application/pdf |
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Singapore Singapore |
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DRNTU::Engineering::Industrial engineering::Information systems |
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DRNTU::Engineering::Industrial engineering::Information systems Lye, Sun Woh Ho, Nai Choon Chin, Teck Chai Loh, Ngiap Hiang Tam, Siu Chung Artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis |
| description |
In this project , a generic intelligent feedback system (GIFS), an alternative adaptive control approach, has been developed to monitor and minimise the undersirable variations in the machining process variables. Ball burnishing, a post-machining finishing process, is used as the basis for investigation. |
| author2 |
School of Mechanical and Production Engineering |
| author_facet |
School of Mechanical and Production Engineering Lye, Sun Woh Ho, Nai Choon Chin, Teck Chai Loh, Ngiap Hiang Tam, Siu Chung |
| format |
Research Report |
| author |
Lye, Sun Woh Ho, Nai Choon Chin, Teck Chai Loh, Ngiap Hiang Tam, Siu Chung |
| author_sort |
Lye, Sun Woh |
| title |
Artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis |
| title_short |
Artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis |
| title_full |
Artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis |
| title_fullStr |
Artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis |
| title_full_unstemmed |
Artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis |
| title_sort |
artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis |
| publishDate |
2008 |
| url |
http://hdl.handle.net/10356/6823 |
| _version_ |
1759853238497050624 |