Artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis

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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Bibliographic Details
Main Authors: Lye, Sun Woh, Ho, Nai Choon, Chin, Teck Chai, Loh, Ngiap Hiang, Tam, Siu Chung
Other Authors: School of Mechanical and Production Engineering
Format: Research Report
Published: 2008
Subjects:
DRNTU::Engineering::Industrial engineering::Information systems
Online Access:http://hdl.handle.net/10356/6823
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Institution: Nanyang Technological University
Description
Summary: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.

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