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

9634859韦氏声发射(AE)是一种过程中传感技术，可用于检测磨削损伤，如烧伤、残余应力或裂纹。虽然滤波后的均方根声发射信号已被用于许多磨削应用，但将未滤波信号与先进的信号处理方法结合使用，可能会为识别和分类磨削损伤提供更好的特征。该项目将设计信号处理方法来处理0.015-1.2兆赫兹范围内的声发射信号，并确定检测和分类方法来监测不同类型的磨削损伤。利用康涅狄格大学磨削研究和开发中心的设施，该实验计划将考虑蠕动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。对于大学实验室来说，特别重要的是能够收集缓进给磨削的实验数据。声发射传感器技术和信号处理技术的使用有可能通过防止磨削烧伤来提高磨削过程中的材料去除速度和生产率。这将允许在不影响生产率、质量或部件性能的情况下提高材料去除率。

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.