Hwang TW, Whitenton EP, Hsu NN, Blessing GV, Evans CJ
National Institute of Standards and Technology, Manufacturing Engineering Laboratory, Gaithersburg, MD 20899, USA.
Ultrasonics. 2000 Mar;38(1-8):614-9. doi: 10.1016/s0041-624x(99)00064-5.
Acoustic emission (AE) monitoring of a machining process offers real-time sensory input which could provide tool condition and part quality information that is critical to effective process control. However, the choice of sensor, its placement, and how to process the data and extract useful information are challenging application-specific questions which researchers must consider. Here we report an effort to resolve these questions for the case of high speed grinding of silicon nitride using an electroplated single-layered diamond wheel. A grinding experiment was conducted at a wheel speed of 149 m s-1 and continued until the end of the useful wheel life. AE signal data were then collected for each complete pass at given grinding times throughout the useful wheel life. We found that the amplitude of the AE signal monotonically increases with wheel wear, as do grinding forces and energy. Furthermore, the signal power contained in the AE signal proportionally increases with the associated grinding power, which suggests that the AE signal could provide quantitative information of wheel wear in high-speed grinding, and could also be used to determine when the grinding wheel needs replacement.
对加工过程进行声发射（AE）监测可提供实时传感输入，这能提供对于有效过程控制至关重要的刀具状态和零件质量信息。然而，传感器的选择、其放置位置以及如何处理数据并提取有用信息，是研究人员必须考虑的具有挑战性的特定应用问题。在此，我们报告了一项针对使用电镀单层金刚石砂轮高速磨削氮化硅的情况解决这些问题的工作。以149米/秒的砂轮速度进行了磨削实验，并持续到砂轮有用寿命结束。然后在整个有用砂轮寿命期间的给定磨削时间，针对每次完整行程收集AE信号数据。我们发现，AE信号的幅度随砂轮磨损单调增加，磨削力和能量也是如此。此外，AE信号中包含的信号功率与相关的磨削功率成比例增加，这表明AE信号可以提供高速磨削中砂轮磨损的定量信息，还可用于确定砂轮何时需要更换。
