Dynamic Analysis of Milling Machine by Torque Signals

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Abstract
Cutting torque signals of a vertical milling machine are used for the analysis and identification of the machine tool system. The force signals are represented by stochastic differential equations obtained by the dynamic data system (DDS) modeling technique. The parameters of the models are used to identify the dynamic modes of the machine tool system. Changes in the dynamic behavior of the machine tool system with cutting conditions have been observed from the dynamic characteristics of the constituent dynamic modes. Stability of the system has been investigated using the most compliant machine tool system mode characteristics. This suggests an alternative technique for obtaining the stability limits of the system instead of the conventional lengthy chatter tests.

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