Analysis of Chatter Stability in Facing

., S. Kebdani; Sahli, Ahmed; Rahmani, Omid; Boutchicha, D.; Belarbi, A.

doi:10.3923/jas.2008.2050.2058

Cited by 4 publications

(1 citation statement)

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“…On this topic, [14] proposed a linear stability analysis in the frequency domain based on cutting forces. [4] developed a linear model based on the root locus method, called a chatter model for predicting stability in hard-turning processes. [17] proposed a method for measuring the stability of cutting processes that applied the power-spectrum density of dynamic cutting forces.…”

Section: Related Workmentioning

confidence: 99%

A statistical data-based approach to instability detection and wear prediction in radial turning processes

Cortadi¹,

Irigoien²,

Boto³

et al. 2018

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Article citation info: among other events that can damage both the workpiece and the machine tool [13].Tool condition monitoring can track tool wear and thereby predict the Remaining Useful Life (RUL) of the tool, a very important issue for rapid machining processes involving superalloys. Together with the detection of instability, tool monitoring provides a valuable data source for improving the efficiency of superalloy turning processes.In this paper, cutting-force signals are studied for the detection of instabilities during the hard-turning process and a tool-wear prediction model is proposed. The three superalloys tested in this study were as follows: Inconel 718, Haynes 282 and Waspalloy.The structure of this paper will be as follows. In Section 2, related work on radial turning process optimization, tool-wear prediction, and the improvement of tool life will be discussed. In Section 3, the industrial application will be explained and, in Section 4, the methodology used to detect instabilities and to predict tool wear. The results will

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Section: Related Workmentioning

confidence: 99%