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Parametric and non-parametric identification of micromilling dynamics

机译:微米动力学的参数和非参数识别

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Monitoring and control of micromilling process represents a challenging task in metal cutting. The lack of static and dynamic stiffness due to the small tool size represents one of the most important issues that has to be tackled in order to provide satisfactory control of the process. In this paper different methods for identifying micro-end milling dynamics for process monitoring are proposed. On one side a parametric approach based on the identification of machining system ODPs (Operation Dynamic Parameters) has been designed. On the other hand a non-parametric approach, based on the calculation of system Lyapunov exponents has been also tested to verify whether generalized methods for assessing system dynamics are also applicable in micromachining where the process non-linearity's can become relevant, thus limiting the effectiveness of other monitoring methods.
机译:微米过程的监测和控制代表了金属切割的具有挑战性的任务。由于刀具大小的缺乏静态和动态刚度代表了必须解决的最重要问题之一,以便提供对该过程的满意的控制。在本文中,提出了识别用于过程监测的微端铣削动态的不同方法。在一侧,设计了基于识别加工系统ODPS(操作动态参数)的参数方法。另一方面,基于系统Lyapunov指数的计算已经测试了对系统的计算,以验证用于评估系统动态的广义方法是否也适用于流程中的微机械,从而限制了有效性其他监测方法。

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