In Process Grinding Damage Monitoring by Digital Signal Processing of Acoustic Emission Signals

韦伯斯特声发射（AE）是一种过程中传感技术，在检测燃烧、残余应力或裂纹等磨削损伤方面提供了希望。虽然滤波后的均方根声发射信号已用于许多磨削应用，但将未经滤波的信号与先进的信号处理方法结合使用，有可能为识别和分类磨削损伤提供更好的特征。本项目将设计处理0.015 - 1.2 MHz范围内声发射信号的信号处理方法，确定监测不同类型磨削损伤的检测和分类方法。利用康涅狄格大学磨削研究与发展中心的设施，实验项目将考虑蠕变进给和浅切削磨削中的工件烧伤检测，以及陶瓷磨削中的表面和亚表面损伤。这个项目在理论和实验之间取得了平衡。对于一个大学实验室来说，特别重要的是能够收集蠕变进给磨削的实验数据。使用声发射传感器技术和信号处理有可能通过防止磨削烧伤来提高磨削中的材料去除率和生产率。这将使材料去除率提高，而不会影响生产率、质量或部件性能。

9634859 Webster Acoustic emission (AE) is an in-process sensing technique that offers promise in detecting grinding damage like burning, residual stress or cracking. While filtered root-mean-square AE signals have been used in a number of grinding applications, using the unfiltered signal with advanced signal processing methods has the potential to provide better signatures for identifying and classifying grinding damage. This project will design signal processing methods to handle AE signals in the 0.015 - 1.2 MHz range, and determine the detection and classification methods to monitor different types of grinding damage. Using the facilities of the Center for Grinding Research and Development at the University of Connecticut, the experimental program will consider workpiece burn detection in creep-feed and shallow-cut grinding, and surface and subsurface damage in ceramic grinding. This project has a balance between theory and experiment. Of particular significance for a university lab, is the capability to gather experimental data on creep feed grinding. The use of AE sensor technology and signal processing has the potential for improving the material removal rates and productivity in grinding by preventing grinding burn. This will allow the material removal rates to be increased without a penalty in productivity, quality or component performance.