Atomistic Dynamics of Acoustic Emission (AE) Generation in Ultra-Precision Machining (UPM) for Incipient Anomaly Detection

该赠款提供资金，以探索一种方法的可行性，该方法将原子源的声发射波形的产生和传播与超精密加工过程中的相关塑性变形机制联系起来，该方法基于适应纳米光刻，射线声学和材料点理论的最新进展，对表面质量进行实时监测。超精密加工工艺在汽车、航空航天、医疗和国防工业中有着广泛的应用。这些过程的实时监测受到传统传感器的低信噪比和与先进的现场仪器相关的成本的阻碍。目前，声发射为这些过程的实时和高分辨率监测提供了一种可行的手段。然而，物理原理连接的过程微观动力学与声发射波形，这是实时监测异常的超精密加工过程中的关键，仍然难以捉摸。这项研究的物理原理和模型对于利用声发射信号进行实时过程监控以确保纳米级精度和表面质量至关重要。如果成功，这些研究将为推进传感技术奠定基础，以实现当今经济重要行业中超精密制造过程的实时质量保证。与工业界的积极研究伙伴关系以及研究生和本科生的参与将产生相当大的短期影响。附属的教育活动将包括通过采用新的实验设施和其他研究成果作为实验室的一部分来丰富研究生课程，以及通过将拟议研究的结果作为过程建模和力学轨道的课程模块来整合。

This grant provides funding to explore the feasibility of an approach to relate the generation and propagation of acoustic emission waveforms from atomistic sources with the relevant plastic deformation mechanisms in ultra-precision machining processes, based on adapting recent advances in nanolithography, ray acoustics and material point theories, towards real-time monitoring of surface quality. Ultra-precision machining processes have a broad range of applications in automotive, aerospace, medical, and defense industries. Real-time monitoring of these processes is hampered by low signal-to-noise ratios of conventional sensors, and costs associated with advanced in-situ instruments. Currently, acoustic emission offers a viable means for real-time and high resolution monitoring of these processes. However, physical principles connecting the process microdynamics with acoustic emission waveforms, which are critical for real-time monitoring of anomalies in ultra-precision machining processes, remain elusive. The physical principles and models from this research can be vital for harnessing acoustic emission signals for real-time process monitoring to assure nano-scale precisions and surface quality.If successful, the investigations would lay foundations to advance sensing technologies for real-time quality assurance of ultra-precision manufacturing processes in the vital industries of today's economy. Considerable short-term impact will accrue from active research partnerships with the industry, and involvement of graduate and undergraduate students. The affiliated educational activities will include enriching a graduate course by employing the new experimentation facilities and other research outcomes as part of the lab, as well as by incorporating the results from the proposed research as course modules in process modeling and mechanics tracks.