EAGER: Measurements of Soft Bi-material Interface Behaviors under Dynamic Loading Conditions
EAGER:动态负载条件下软双材料界面行为的测量
基本信息
- 批准号:1926667
- 负责人:
- 金额:$ 21.01万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-08-15 至 2022-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Thin polymer films are widely used in flexible electronics and soft robotics. The durability of these thin polymer film interfaces is critical to their long-term performance. A thorough understanding of the properties of these films is also important in microelectronics fabrication where nanostructured polymer thin film patterns are used to fabricate complex circuitry. As production rates for these processes increase, an understanding of the dynamic performance of these thin film patterns becomes more and more critical. This EArly-concept Grant for Exploratory Research (EAGER) award supports fundamental research to create a new experimental technique to measure the properties of material property gradients in polymer thin films under dynamic loading conditions. This research will generate critical experimental data on material property gradients and interface conditions under dynamic loading conditions. This data can be used for the enhancement of computational modeling of these material systems and enable the design of new multi-layer film systems. Insight from this research will also drive new fabrication strategies to enhance the long-term performance of engineered flexible components. Enhancements to their performance would directly impact the nation's soft robotics, manufacturing and healthcare systems by enabling more durable devices for skin mounted sensors and flexible robots. This project will provide opportunities to educate and train graduate students in advanced experimental techniques that could be applied across many engineering fields. The project will also impact undergraduate education through research experiences for undergraduates with a focus on underrepresented students. The performance of thin polymer films and multi-layer films depends highly on the gradient of material properties through the thickness of the film. These properties are altered relative to the bulk polymer material due to chemical interactions with the substrate and geometrical confinement. Similarly, the failure and dynamic behavior of polymer-matrix based composites is often dominated by the interface/interphase properties between the reinforcement and the matrix materials. This research aims to implement, demonstrate and evaluate a novel acoustics based experimental technique for the simultaneous measurement of stress-strain behavior gradients through the thickness near soft, bi-material interfaces and adhesion properties at these interfaces. Two specific material systems will be addressed, polymer thin films and the interphase region in polymer-matrix composites. Material property data will be collected over a wide range of dynamic loading conditions. The outcome of this research will be a new experimental method for mechanics researchers to more accurately determine property variations in the thickness directions for thin-film and interphase specimens by significantly reducing the effects of the local interface conditions and the substrate material.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.
聚合物薄膜广泛应用于柔性电子和软机器人。 这些薄聚合物膜界面的耐久性对其长期性能至关重要。这些薄膜的性质的透彻理解也是重要的微电子制造中,纳米结构的聚合物薄膜图案用于制造复杂的电路。随着这些工艺的生产率的提高,对这些薄膜图案的动态性能的理解变得越来越重要。EARLY概念探索性研究(EAGER)奖支持基础研究,以创建一种新的实验技术来测量动态负载条件下聚合物薄膜中材料特性梯度的特性。这项研究将产生关键的实验数据的材料性能梯度和动态加载条件下的界面条件。这些数据可用于增强这些材料系统的计算建模,并能够设计新的多层膜系统。这项研究的洞察力还将推动新的制造策略,以提高工程柔性部件的长期性能。其性能的增强将直接影响国家的软机器人,制造和医疗保健系统,使皮肤安装传感器和柔性机器人的设备更加耐用。该项目将提供机会,教育和培训研究生在先进的实验技术,可以在许多工程领域应用。该项目还将通过本科生的研究经验影响本科教育,重点是代表性不足的学生。薄聚合物膜和多层膜的性能高度依赖于通过膜的厚度的材料性质的梯度。由于与衬底的化学相互作用和几何限制,这些性质相对于本体聚合物材料而改变。类似地,聚合物基复合材料的破坏和动态行为通常由增强体和基体材料之间的界面/界面相性质决定。本研究的目的是实现,演示和评估一种新的声学为基础的实验技术,通过软,双材料界面和这些界面的粘附性能附近的厚度的应力-应变行为梯度的同时测量。两个具体的材料系统将被解决,聚合物薄膜和聚合物基复合材料的界面区域。将在广泛的动态载荷条件下收集材料性能数据。这项研究的结果将为力学研究人员提供一种新的实验方法,以更准确地确定薄-薄材料在厚度方向上的性能变化。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查进行评估,被认为值得支持的搜索.
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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Kara Peters其他文献
Smart Structures and Materials 2006: Smart Sensor Monitoring Systems and Applications
智能结构和材料 2006:智能传感器监控系统和应用
- DOI:
- 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
D. Inaudi;W. Ecke;B. Culshaw;Kara Peters;E. Udd - 通讯作者:
E. Udd
Announcing the 2019 Measurement Science and Technology Outstanding Paper Awards
2019年测量科学与技术优秀论文奖揭晓
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Wuqiang Yang;Kara Peters;Kenneth Christensen;B. Jakoby;Scott Morris;A. Yacoot;D. Iakovidis - 通讯作者:
D. Iakovidis
Investigating the loss of an embedded perfluorinated optical fiber for different resin’s gel time
- DOI:
10.1007/s12221-015-5534-0 - 发表时间:
2015-10-29 - 期刊:
- 影响因子:2.300
- 作者:
Tamer Hamouda;Abdel-Fattah M. Seyam;Kara Peters - 通讯作者:
Kara Peters
Studies on bridging tractions – simultaneous bridging tractions and COD measurements
桥接牵引力研究 – 同步桥接牵引力和 COD 测量
- DOI:
10.1023/a:1015798126787 - 发表时间:
2002 - 期刊:
- 影响因子:2.5
- 作者:
Michel Studer;J. Pietrzyk;Kara Peters;J. Botsis;Ph. Giaccari - 通讯作者:
Ph. Giaccari
Testing of Polymers and Composite Materials
聚合物和复合材料的测试
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Kara Peters - 通讯作者:
Kara Peters
Kara Peters的其他文献
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{{ truncateString('Kara Peters', 18)}}的其他基金
Collaborative Research: Full-Spectral Interrogation of Fiber Bragg Grating Sensors for Damage Identification
合作研究:用于损伤识别的光纤布拉格光栅传感器的全光谱询问
- 批准号:
0900369 - 财政年份:2009
- 资助金额:
$ 21.01万 - 项目类别:
Standard Grant
SGER: Intelligent FRP Retrofits for Critical Structures
SGER:关键结构的智能 FRP 改造
- 批准号:
0540853 - 财政年份:2005
- 资助金额:
$ 21.01万 - 项目类别:
Continuing Grant
Optimized Structural Damage Identification through Multi-Scale Embedded Sensing
通过多尺度嵌入式传感优化结构损伤识别
- 批准号:
0219690 - 财政年份:2002
- 资助金额:
$ 21.01万 - 项目类别:
Standard Grant
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