Experimental study on microgrinding characteristic signal sensing of single crystal materials based on acoustic emission monitoring
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摘要: 对镍基晶体微磨削的非稳态特征进行声发射信号感知测试。建立声发射信号的监测系统，从信号中提取出特征参数并完成频带划分，探讨了声发射信号时域均方根谱与频带信号能量比预计非稳态磨削特征的关联程度。研究结果表明，逐渐增大磨削长度后，微磨具的磨损形式从初始快速磨损过程转变到了稳定磨损状态；增大材料去除量后，形成了更大的直径损失量，总体表现为先上升后稳定状态变化；中频带能量比例和微磨具直径损失量之间保持正相关，高频带能量比和微槽崩边宽度保持正相关；微槽锥度角通常呈现连续性变化，形成了较大的微槽锥度角；增大磨削深度后，提升了微磨具直径损失和中频带能量占比相关系数，微槽崩边宽度和高频带能量占比相关系数降低。Abstract: The acoustic emission signal sensing of nickel-based crystal microgrinding was measured. The monitoring system of acoustic emission signal is established, the characteristic parameters are extracted from the signal and the division of frequency band is completed. The correlation degree between acoustic emission signal time domain root mean square spectrum and frequency band signal energy ratio predicted unsteady grinding characteristics is deeply discussed. The results show that the wear form of the micro-abrasive tool changes from the initial rapid wear process to the stable wear state after the grinding length increases gradually. With the increase of material removal amount, a larger diameter loss amount was formed, and the overall performance was first rising and then stable state change. There is a positive correlation between the energy ratio of middle band and the diameter loss of microabrasives. The energy ratio of high frequency band is positively correlated with the width of micro-slot edge breakage. Microgroove taper Angle usually presents continuous change characteristics, forming a larger microgroove taper angle. With the increasing of grinding depth, the diameter loss of micro-abrasive tools and the correlation coefficient of energy ratio in middle frequency band are increased, while the correlation coefficient of micro-groove edge breakage width and energy ratio in high frequency band are decreased.
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