MRI: Development of Multi-Material Printing and Multi-Modal Sensing Capabilities for Directed Energy Deposition
MRI:开发用于定向能量沉积的多材料打印和多模态传感能力
基本信息
- 批准号:2216298
- 负责人:
- 金额:$ 41.09万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-01 至 2026-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This Major Research Instrumentation (MRI) award supports the development of an open-architecture, high-throughput, and modular additive manufacturing instrument. This instrument is based on directed energy deposition to enable new research capabilities in revolutionary material design, large-scale data collection, and process artificial intelligence. The new capabilities will set this instrument apart, as the first of its kind. It will have a unique range of functionalities to address the current and future technical challenges in additive manufacturing. It will also serve as a unique tool to probe into the process design and physics of additive manufacturing. The project will enable undergraduate and graduate students to gain exposure to the growing multidisciplinary nature of advanced manufacturing and its adaption of big data concepts. By developing the capability for rigorous process monitoring, the instrument will enable the real-time study of the influence and consequences of processing methods on defects and ultimate part quality (at length scales that are orders of magnitude smaller than standard instruments today). The research will couple multi-material synthesis capabilities (multi-material printing) with high-precision sensors (acoustic emission sensing, hyperspectral imaging, and multi-wavelength pyrometry) and an in-process metrology vision system to enable closed-loop process modification and data collection. The envisioned hardware and software design will enable an instrument that is not only capable of detecting defects in real-time but can also make the necessary processing adjustments (may they be compositional or processing modifications) to correct these errors. This instrument will substantially outpace the current capabilities of commercial metal additive instruments, thus providing broad opportunities for multidisciplinary research and development of manufacturing processes, methods, and equipment.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该主要研究仪器(MRI)奖支持开放式架构,高通量和模块化增材制造仪器的开发。该仪器基于定向能量沉积,可在革命性材料设计、大规模数据收集和过程人工智能方面实现新的研究能力。新的功能将使这台仪器与众不同,成为同类仪器中的第一台。它将具有一系列独特的功能,以应对增材制造领域当前和未来的技术挑战。它还将作为探索增材制造工艺设计和物理的独特工具。该项目将使本科生和研究生能够接触到先进制造业日益增长的多学科性质及其对大数据概念的适应。通过开发严格的过程监控能力,该仪器将能够实时研究加工方法对缺陷和最终零件质量的影响和后果(长度尺度比今天的标准仪器小几个数量级)。该研究将多材料合成能力(多材料打印)与高精度传感器(声发射传感,高光谱成像和多波长高温测量)和过程中计量视觉系统相结合,以实现闭环过程修改和数据收集。所设想的硬件和软件设计将使仪器不仅能够实时检测缺陷,而且还可以进行必要的处理调整(可以是成分或处理修改)以校正这些误差。该仪器将大大超过商业金属添加剂仪器的当前能力,从而为制造工艺、方法和设备的多学科研究和开发提供广阔的机会。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
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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Ping Guo其他文献
Performance evaluation of PLT-H (hybrid-channel platelet) under various interferences and application studies for platelet transfusion decisions
PLT-H(混合通道血小板)在各种干扰下的性能评估及血小板输注决策的应用研究
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:3.3
- 作者:
Qi Cai;Han Lin;Ping Guo - 通讯作者:
Ping Guo
A model integrating the system dynamic model with the risk based two-stage stochastic robust programming model for agricultural-ecological water resources management
系统动态模型与基于风险的两阶段随机鲁棒规划模型相结合的农业生态水资源管理模型
- DOI:
10.1007/s00477-021-01972-8 - 发表时间:
2021-01 - 期刊:
- 影响因子:4.2
- 作者:
Youzhi Wang;Alex;er Fernald;Ping Guo - 通讯作者:
Ping Guo
Spatial Topology Relationships Concrete Domain and Consistency Determination
空间拓扑关系具体域及一致性判定
- DOI:
10.1109/icie.2009.150 - 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Ping Guo;Rui - 通讯作者:
Rui
NERS_HEAD: a new hybrid evolutionary algorithm for solving graph coloring problem
NERS_HEAD:一种解决图着色问题的新型混合进化算法
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Ping Guo - 通讯作者:
Ping Guo
A method of signal sparse in wireless structural health monitoring based on compressive sensing
基于压缩感知的无线结构健康监测信号稀疏方法
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Ping Guo;Xin Xu;Jin Wang;Yajie Sun - 通讯作者:
Yajie Sun
Ping Guo的其他文献
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{{ truncateString('Ping Guo', 18)}}的其他基金
Conference Support: Participation of US Students and Junior Faculty to the 6th World Congress on Micro and Nano Manufacturing (WCMNM 2023); Evanston, Illinois; 18-21 September 2023
会议支持:美国学生和初级教师参加第六届世界微纳制造大会(WCMNM 2023);
- 批准号:
2331394 - 财政年份:2023
- 资助金额:
$ 41.09万 - 项目类别:
Standard Grant
FMSG: Cyber: Distributed Surface Patterning Through a Cohort of Robots
FMSG:网络:通过一组机器人进行分布式表面图案化
- 批准号:
2229170 - 财政年份:2022
- 资助金额:
$ 41.09万 - 项目类别:
Standard Grant
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