Modeling and Analysis of Material Removal and Tool Wear in Micro Ultrasonic Machining

该奖项的研究目标是通过严格的分析和实验研究，建立微超声加工过程的基础知识基础，旨在了解材料去除机制，可加工特征尺寸范围，加工参数对加工过程的生产率和表面完整性的影响以及加工过程的可靠性。具体来说，这项工作将产生基于磨料-工件相互作用的微超声加工过程的机理模型；材料去除率、工具磨损率和表面损伤的广泛数据库，以及用于静态负载监测的软件和硬件。这项研究将使电子、医疗和汽车工业中使用的各种电不导电和化学惰性、硬脆材料的经济微加工成为可能。本研究除了为超声加工工艺机床行业及其应用提供参考外，还将丰富本科和研究生制造课程的内容。该项目将用于培养代表性不足的少数民族的培训和学习。项目成果将通过出版物和演讲与学术界和工业界分享。

The research objective of this award is to establish a fundamental knowledge base of the micro ultrasonic machining process thorough rigorous analytical and experimental investigations aimed at an understanding of the mechanism of material removal, the range of machinable feature sizes, effect of machining parameters on the productivity and surface integrity of the machined process and the reliability of the process. Specifically, this work will result in a mechanistic model of the micro ultrasonic machining process based on abrasive-workpiece interaction; an extensive data base for material removal rates, tool wear rates, and surface damage, and software and hardware for static load monitoring.This research will enable economic micromachining of a wide variety of electrically nonconductive and chemically inert, hard and brittle materials used in electronic, medical and automotive industries. Besides providing input to the ultrasonic machining process machine tool industry and its application, this research will enhance the undergraduate and graduate manufcaturing course content. This project will be used to nurture training and learning with in the underrepresented minorities. The project results will be shared with academia and industry though publications and presentations.