MRI: Acquisition of A 3D Scanning Laser Vibrometer
MRI:购买 3D 扫描激光测振仪
基本信息
- 批准号:0722469
- 负责人:
- 金额:$ 49.16万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-08-01 至 2008-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Magnetorheological (MR) elastomer composites are among a few smart materials which can provide satisfactory performance on the four essential properties for engineering applications: quick-response, wide-controllable range, long-term stability, and simple servo-system. However, they are quite soft with respect to the storage moduli and uncontrollable in terms of damping ratios, impairing their great potentials applied to sensors, actuators, and semi-active devices. In this project, we aim to develop an integrated fabrication and testing system for novel MR elastomer nanocomposites reinforced with carbon nanotubes (CNTs), whose properties can be significantly improved and actively controlled in comparison with the existing MR composites. The system consists of a materials fabrication module and a materials testing module to control the ferrous particles and CNTs to form desired micro-scale and nano-scale structures respectively. The completion and success of the development will allow us to fabricate the state-of-the-art smart nanocomposites with improved performance and functionality. We are committed to taking advantages of the established system to investigate and optimize the nanocomposites performance for various engineering applications such as smart dampers and isolators for seismic protection of civil infrastructure, pressure sensors for structural health monitoring, adaptive power actuators and semi-active suspension for automobile systems, and adaptive acoustic emitters for sonar systems.This project is among the first attempt to develop such a fabrication and testing system for MR smart nanocomposites. It will lay a solid foundation for advanced research in the area of smart nanocomposites with various engineering applications. It will promote cross-disciplinary research among materials scientists, structural engineers, and solid mechanics researchers. Furthermore, it will provide the state-of-the-art instrumentation and opportunity for research training of diversified students to gain experience on hand-on training in materials design and system integration as well as actual control systems implementations.Intellectual merit of the proposed activity: Strengths The PIs propose to acquire a 3D scanning laser vibrometer which will provide 3D non-contact vibration experimental data. The proposed equipment will enable the exploration of new areas of research such as health monitoring and crashworthiness.
磁流变弹性体复合材料具有响应速度快、可控范围宽、长期稳定性好、伺服系统简单等优点,是近年来发展起来的一种新型智能材料。然而,它们相对于存储模量是相当软的,并且在阻尼比方面是不可控的,这削弱了它们应用于传感器、致动器和半主动装置的巨大潜力。 在这个项目中,我们的目标是开发一个集成的制造和测试系统的新型MR弹性体纳米复合材料与碳纳米管(CNTs),其性能可以显着改善和主动控制相比,现有的MR复合材料。该系统由材料制备模块和材料测试模块组成,分别用于控制亚铁颗粒和碳纳米管形成所需的微米级和纳米级结构。开发的完成和成功将使我们能够制造具有改进性能和功能的最先进的智能纳米复合材料。我们致力于利用已建立的系统来研究和优化各种工程应用的纳米复合材料性能,例如用于民用基础设施抗震保护的智能阻尼器和隔离器,用于结构健康监测的压力传感器,自适应功率致动器和汽车系统的半主动悬架,和声纳系统的自适应声发射器。该项目是第一次尝试开发这样一个制造和测试系统的MR智能纳米复合材料。这将为智能纳米复合材料领域的深入研究奠定坚实的基础。它将促进材料科学家,结构工程师和固体力学研究人员之间的跨学科研究。此外,它将提供最先进的仪器和机会,为多样化的学生提供研究培训,以获得材料设计和系统集成以及实际控制系统实施方面的实践培训经验。拟议活动的智力优势:优势PI建议购买三维扫描激光振动仪,该仪器将提供三维非接触式振动实验数据。拟议的设备将使探索新的研究领域,如健康监测和耐撞性。
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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Christopher Niezrecki其他文献
HT-LIP Model based Robust Control of Quadrupedal Robot Locomotion under Unknown Vertical Ground Motion
未知地面垂直运动下基于HT-LIP模型的四足机器人运动鲁棒控制
- DOI:
10.48550/arxiv.2403.16262 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Amir Iqbal;Sushant Veer;Christopher Niezrecki;Yan Gu - 通讯作者:
Yan Gu
Investigating the impact of wind speed variability on optimal sizing of hybrid wind-hydrogen microgrids for reliable power supply
研究风速变化对混合式风光氢微电网最优规模以实现可靠供电的影响
- DOI:
10.1016/j.ijhydene.2025.01.444 - 发表时间:
2025-03-06 - 期刊:
- 影响因子:8.300
- 作者:
Victor Eniola;Jack Cimorelli;Christopher Niezrecki;David Willis;Xinfang Jin - 通讯作者:
Xinfang Jin
IoT acoustic sensor design and antenna selection for a wind turbine structural health monitoring system
风力涡轮机结构健康监测系统的物联网声学传感器设计和天线选择
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Calvin Alexander Ng;Connor Pozzi;Sage Lyon;M. Inalpolat;Christopher Niezrecki;Yan Luo - 通讯作者:
Yan Luo
Sensitivity analysis of unmanned aerial vehicle-borne 3D point cloud reconstruction from infrared images
基于红外图像的无人机载三维点云重建的敏感性分析
- DOI:
10.1016/j.jobe.2022.105070 - 发表时间:
2022-10-15 - 期刊:
- 影响因子:7.400
- 作者:
Shweta Dabetwar;Nitin Nagesh Kulkarni;Marco Angelosanti;Christopher Niezrecki;Alessandro Sabato - 通讯作者:
Alessandro Sabato
Christopher Niezrecki的其他文献
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{{ truncateString('Christopher Niezrecki', 18)}}的其他基金
Phase II IUCRC at University of Massachusetts Lowell: Center for Wind Energy Science, Technology and Research (WindSTAR)
马萨诸塞大学洛厄尔分校的第二阶段 IUCRC:风能科学、技术和研究中心 (WindSTAR)
- 批准号:
1916715 - 财政年份:2019
- 资助金额:
$ 49.16万 - 项目类别:
Continuing Grant
I/UCRC: Wind Energy, Science, Technology, and Research (WindSTAR)
I/UCRC:风能、科学、技术和研究 (WindSTAR)
- 批准号:
1362022 - 财政年份:2014
- 资助金额:
$ 49.16万 - 项目类别:
Continuing Grant
Planning Grant: I/UCRC for Wind Energy, Science, Technology, and Research (WindSTAR)
规划补助金:I/UCRC 风能、科学、技术和研究 (WindSTAR)
- 批准号:
1238307 - 财政年份:2012
- 资助金额:
$ 49.16万 - 项目类别:
Standard Grant
SEP: Collaborative: Achieving a Sustainable Energy Pathway for Wind Turbine Blade Manufacturing
SEP:协作:实现风力涡轮机叶片制造的可持续能源途径
- 批准号:
1230884 - 财政年份:2012
- 资助金额:
$ 49.16万 - 项目类别:
Continuing Grant
Workshop: 2011 Wind Energy Research Workshop, Lowell, MA, August 2011
研讨会:2011 年风能研究研讨会,马萨诸塞州洛厄尔,2011 年 8 月
- 批准号:
1129719 - 财政年份:2011
- 资助金额:
$ 49.16万 - 项目类别:
Standard Grant
Dynamic Stress-Strain Prediction of Vibrating Structures in Operation
运行中振动结构的动态应力应变预测
- 批准号:
0900534 - 财政年份:2009
- 资助金额:
$ 49.16万 - 项目类别:
Standard Grant
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