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Investigation on the correlation between micro burrs and AE signal characteristics in micro-scale milling process

机译：微型铣削过程中微毛刺与AE信号特征的相关性研究

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Micro burrs are likely to occur due to the size effect associated with cutting edge radius in a micro-scale milling process. Micro burrs reduce the machined surface quality and cause damages to the contact surfaces of micro parts, so it should be removed through the deburring process. However, the micro burrs formed by micro cutting process are not easy to remove, and require much time and cost for deburring process. Therefore, it is necessary to suppress the generation of micro burrs by the optimization of machining process. Also, it is important to detect the generation of micro burrs in advance through real-time monitoring of cutting signals to change in cutting conditions. In this paper, the influence of each cutting variables on the size of micro burrs and the correlation between micro-burrs and cutting signals are investigated through micro channel machining experiments in micro-scale milling process. The feed per tooth and spindle speed in the cutting variables are selected as independent variables. Each variable is divided into 3 levels and a total of 9 cutting conditions are derived. The size of micro burrs formed on the micro-channels is measured, and the effect of each cutting variable on the generation of micro burrs. Also signal characteristics such as AE RMS, band energy, AE count are extracted through signal processing of AE signals and the correlation between the size of micro burrs and the AE signal characteristics is figured out.
机译：由于在微型铣削过程中与切削刃半径相关的尺寸效应，可能会产生微毛刺。微小毛刺会降低机加工表面的质量，并损坏微型零件的接触表面，因此应通过去毛刺过程将其清除。然而，通过微切割工艺形成的微毛刺不容易去除，并且需要大量的时间和成本进行去毛刺工艺。因此，有必要通过优化加工工艺来抑制微毛刺的产生。同样，通过实时监控切削信号以改变切削条件，提前检测微毛刺的产生也很重要。本文通过微细铣削加工中的微通道加工实验，研究了各切削变量对微毛刺尺寸的影响以及微毛刺与切削信号之间的关系。选择切削变量中的每齿进给量和主轴转速作为独立变量。每个变量分为3个等级，总共得出9个切削条件。测量在微通道上形成的微毛刺的尺寸，以及每个切削变量对微毛刺产生的影响。另外，通过对AE信号进行信号处理，提取出诸如AE RMS，能带，AE计数之类的信号特征，并得出了毛刺尺寸与AE信号特征之间的关系。

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