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

通过声发射信号的数字信号处理进行过程磨削损伤监测

• 批准号: 9634859
• 负责人: John Webster
• 金额: $ 19.51万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-01 至 2000-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9634859&HistoricalAwards=false
• 关键词: Process; Grinding; Damage; Monitoring; Digital

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.

9634859 韦伯斯特 声发射（AE）是一种在线检测技术，可用于检测烧伤、残余应力或裂纹等磨削损伤。 虽然滤波后的均方根AE信号已被用于许多磨削应用中，但使用未滤波的信号与先进的信号处理方法有可能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，以处理0.015 - 1.2 MHz范围内的AE信号，并确定检测和分类方法，以监测不同类型的磨削损伤。 利用康涅狄格大学磨削研究与发展中心的设施，实验计划将考虑缓进给和浅切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，收集缓进磨削实验数据的能力尤为重要。 声发射传感器技术和信号处理技术的应用，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。 这将使材料去除率得以提高，而不会影响生产率、质量或部件性能。