Model-based monitoring and failure detection methodology for ball-nose end milling
Huang, S. Goh, K.M. Chuan, K. Wong, Y.S. Hong, G.S.
Huang, S.
Goh, K.M.
Chuan, K.
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Abstract
This paper presents a model-based monitoring and failure detection approach in ball-nose end milling process. A mechanistic force model has been established for high speed milling on hardened stavax steel with 6mm micro-grain tungsten carbide 2 flute ball-nose end mill. The threshold curve can be obtained off-line based on the process model as the cutting engagement conditions along the tool path are determined at the simulation stage. The measured cutting forces are monitored on-line to detect the faults by comparing them with the threshold curve at machining stage. If a fault is detected at certain position along the tool path, an intelligent predictive method developed in [1] is utilized to predict whether this fault will result in catastrophic failure. Experimental results are provided to demonstrate the feasibility of this approach. © 2007 IEEE.
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IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
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Date
2007
DOI
10.1109/EFTA.2007.4416766
Type
Conference Paper