This paper presents a model-based computationally efficient method for detecting milling chatter in its incipient stages. Based on a complex exponentials model for the dynamic chip thickness, the chip regeneration effect is amplified and isolated from the cutting force signal for early chatter detection. The proposed method is independent of the cutting conditions. With the aid of a one tap adaptive filter, the proposed method is also found to be able to distinguish between chatter and the dynamic transients in the cutting forces due to sudden changes in workpiece geometry and tool entry/exit. The proposed method is experimentally validated.
- Manufacturing Engineering Division
A Model Based Computationally Efficient Method for On-Line Detection of Chatter in Milling
Ma, L, Melkote, S, & Castle, J. "A Model Based Computationally Efficient Method for On-Line Detection of Chatter in Milling." Proceedings of the ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing. Madison, Wisconsin, USA. June 10–14, 2013. V002T02A022. ASME. https://doi.org/10.1115/MSEC2013-1031
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