On-Line Fuzzy Monitoring of Micro-Hole Drilling Based on Genetic Algorithm

Hui Meng Zheng; Jian Qing Chen; Shou Xin Zhu

doi:10.4028/www.scientific.net/AMM.184-185.1588

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 184-185On-Line Fuzzy Monitoring of Micro-Hole Drilling...

On-Line Fuzzy Monitoring of Micro-Hole Drilling Based on Genetic Algorithm

Abstract:

In automated micro-hole drilling system, in order to improve the drilling performance and reduce of production costs by maximizing the use of drill life and preventing drill failures, the drill bit wear state monitoring is more important. However, drill bit wear is difficult to measure in drilling process. By observation, wear failure of the drill bit could cause related changes of the spindle current signal, so construct fuzzy control mathematical models with the relationship between drill bit wear and spindle current, genetic algorithm and fuzzy control theory are applied to micro-drilling system in this paper .The membership functions of fuzzy control model are optimized by genetic algorithms. Through calculation, we can get drill bit wear value which used as monitoring threshold value in micro-hole drilling on-line monitoring system to avoid the drill breakage and improve the monitoring reliability.

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Periodical:

Applied Mechanics and Materials (Volumes 184-185)

Pages:

1588-1591

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.184-185.1588

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Online since:

June 2012

Authors:

Hui Meng Zheng, Jian Qing Chen, Shou Xin Zhu

Keywords:

Fuzzy Control, Genetic Algorithm (GA), Micro-Hole Drilling

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