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SMART MATERIALS IN DYNAMIC ERROR ATTENUATION OF CUTTING TOOLS

机译:切割工具动态误差衰减中的智能材料

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Vibration suppressions techniques in cutting tools can save old machines and enhance design flexibility in new manufacturing systems. The finite element method is employed to investigate structural stiffness, damping, and switching methodology under the use of smart material in tool error attenuation. This work discusses the limitations of using lumped mass modeling in toolpost dynamic control. Transient solution for tool tip displacement is obtained when pulse width modulation (PWM) is used for smart material activation during the compensation of the radial disturbing cutting forces. Accordingly a Fuzzy algorithm is developed to control actuator voltage level toward improved dynamic performance. The required minimum number of PWM cycles in each disturbing force period is investigated to diminish tool error. Time delay of applied voltage during error attenuation is also evaluated. Toolpost static force-displacement diagram as required to predict voltage intensities for error reduction is tested under different dynamic operating conditions.
机译:切削工具中的振动抑制技术可以节省旧机器,并在新制造系统中提高设计灵活性。有限元方法用于研究在工具误差衰减中使用智能材料的结构刚度,阻尼和切换方法。这项工作讨论了在工具骨折动态控制中使用集总质量建模的局限性。当脉冲宽度调制(PWM)用于补偿径向烘干切割力时,当脉冲宽度调制(PWM)用于智能材料激活时,获得用于刀具尖移位的瞬态溶液。因此,开发了一种模糊算法来控制致动器电压水平朝向改进的动态性能。研究了每个干扰力周期中所需的最小PWM循环,以减少工具误差。还评估了误差期间施加电压的时间延迟。在不同的动态操作条件下测试了预测误差减小电压强度的工具稳态力 - 位移图。

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