Atomistic Dynamics of Acoustic Emission (AE) Generation in Ultra-Precision Machining (UPM) for Incipient Anomaly Detection
用于早期异常检测的超精密加工 (UPM) 中声发射 (AE) 生成的原子动力学
基本信息
- 批准号:1301439
- 负责人:
- 金额:$ 20万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-06-01 至 2014-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
该赠款提供资金,以探索一种方法的可行性,该方法将原子源声发射波形的生成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,基于纳米光刻、射线声学和材料点方面的最新进展理论,实现表面质量的实时监控。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。传统传感器的低信噪比以及先进现场仪器的相关成本阻碍了对这些过程的实时监控。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方法。然而,将过程微观动力学与声发射波形联系起来的物理原理仍然难以捉摸,这对于实时监测超精密加工过程中的异常情况至关重要。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以实现实时质量保证奠定基础当今经济重要行业的超精密制造工艺。与行业的积极研究合作以及研究生和本科生的参与将产生相当大的短期影响。附属教育活动将包括通过利用新的实验设施和其他研究成果作为实验室的一部分,以及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丰富研究生课程。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Satish Bukkapatnam其他文献
Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data
使用有限数据的机器学习增强惯性约束聚变目标抛光表面光滑度预测
- DOI:
10.48550/arxiv.2312.10553 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Antonios Alexos;Junze Liu;Akash Tiwari;Kshitij Bhardwaj;Sean Hayes;Pierre Baldi;Satish Bukkapatnam;S. Bhandarkar - 通讯作者:
S. Bhandarkar
Detecting anomalous motions in ultraprecision shell-polishing process combining unsupervised spectral-band identification and Explainable-AI
结合无监督光谱带识别和可解释人工智能来检测超精密外壳抛光过程中的异常运动
- DOI:
10.1016/j.jmsy.2024.04.004 - 发表时间:
2024 - 期刊:
- 影响因子:12.1
- 作者:
Shashank Galla;Akash Tiwari;Saikiran Chary Nalband;Sean Hayes;Suhas Bhandarkar;Satish Bukkapatnam - 通讯作者:
Satish Bukkapatnam
Satish Bukkapatnam的其他文献
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{{ truncateString('Satish Bukkapatnam', 18)}}的其他基金
Localized Finishing of Freeform Geometries using Dynamic Magnetic Field-Manipulated Magneto-Viscoelastic Fluids
使用动态磁场操纵磁粘弹性流体对自由形状几何形状进行局部精加工
- 批准号:
1538501 - 财政年份:2016
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
PFI-AIR-TT: Wearable sleepwear for quantitative prognostication and noninvasive therapy of obstructive sleep apnea
PFI-AIR-TT:可穿戴睡衣,用于阻塞性睡眠呼吸暂停的定量预测和无创治疗
- 批准号:
1543226 - 财政年份:2015
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Characterization and Real Time Defect Mitigation in Chemical/Mechanical Polishing of Microelectronic Wafers Using Decision Theory and MultiSensor Fusion
使用决策理论和多传感器融合对微电子晶圆化学/机械抛光进行表征和实时缺陷缓解
- 批准号:
1437139 - 财政年份:2014
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Workshop: Advanced Manufacturing for the Oil and Gas Energy Industry; Houston, Texas; November 2014
研讨会:石油和天然气能源行业的先进制造;
- 批准号:
1450819 - 财政年份:2014
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
I-Corps: SleepEez: Point-of-care sensor for prediction and prevention of sleep apnea
I-Corps:SleepEez:用于预测和预防睡眠呼吸暂停的护理点传感器
- 批准号:
1432920 - 财政年份:2014
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Atomistic Dynamics of Acoustic Emission (AE) Generation in Ultra-Precision Machining (UPM) for Incipient Anomaly Detection
用于早期异常检测的超精密加工 (UPM) 中声发射 (AE) 生成的原子动力学
- 批准号:
1432914 - 财政年份:2014
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
I-Corps: SleepEez: Point-of-care sensor for prediction and prevention of sleep apnea
I-Corps:SleepEez:用于预测和预防睡眠呼吸暂停的护理点传感器
- 批准号:
1355765 - 财政年份:2013
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
I-Corps: HealthSmart Technical Development Plan
I-Corps:HealthSmart 技术开发计划
- 批准号:
1247523 - 财政年份:2012
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Characterization and Real Time Defect Mitigation in Chemical/Mechanical Polishing of Microelectronic Wafers Using Decision Theory and MultiSensor Fusion
使用决策理论和多传感器融合对微电子晶圆化学/机械抛光进行表征和实时缺陷缓解
- 批准号:
1000978 - 财政年份:2010
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
SGER: Sequential Bayesian Decision Making for End-Point Detection and Control in Chemical Mechanical Planarization (CMP) Processes
SGER:化学机械平坦化 (CMP) 工艺中终点检测和控制的顺序贝叶斯决策
- 批准号:
0830023 - 财政年份:2008
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
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