Fuzzy modeling and prediction of cylindricity error in BTA deep hole boring process

In this paper, first order Sugeno models are proposed to model the relationship between the different cutting parameters and the resulting cylindricity error. This gives the machine operator the opportunity to predict cylindricity for a given set of cutting parameters. Hence, the best parameters can...

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Bibliographic Details
Main Authors: Al-Wedyan, H., Demirli, K., Bhat, R.
Format: Conference Proceeding
Language:English
Subjects:
Applied sciences
Artificial intelligence
Boring
Computer science
control theory
systems
Drilling
Exact sciences and technology
Feeds
Industrial engineering
Length measurement
Machining
Predictive models
Rough surfaces
Surface roughness
Vibrations
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Summary:In this paper, first order Sugeno models are proposed to model the relationship between the different cutting parameters and the resulting cylindricity error. This gives the machine operator the opportunity to predict cylindricity for a given set of cutting parameters. Hence, the best parameters can be picked to achieve the best cylindricity. A second model shows that the cutting parameters should vary while drilling in order to reduce the whirling mode. As the amplitude of whirling is reduced, this leads to better cylindricity.
DOI:10.1109/NAFIPS.2004.1337439