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Collaborative Research: An Integrated Experimental/Computational Study of the Mechanics of Nanofiber Networks

合作研究：纳米纤维网络力学的综合实验/计算研究

基本信息

批准号：
1634328
负责人：
Catalin Picu
金额：
$ 26.98万
依托单位：
Rensselaer Polytechnic Institute
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-08-15 至 2021-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1634328&HistoricalAwards=false
关键词：
Collaborative Research Integrated Experimental Computational

项目摘要

This award supports research to characterize the effective mechanical strength and ductility of polymer nanofiber networks for nanofilamentous materials such as gels, rubber, tissue scaffolds, cellulose products and non-wovens. Although macroscale fiber networks are quite well understood, nanofibers behave differently from their macroscale counterparts due to the coupled effect of their outstanding ductility and strength that are not observed in microscale fibers, and the relatively strong adhesion between nanofibers. These two distinguishing features lead to currently unexplored opportunities for controlling and vastly improving the effective mechanical strength and ductility of polymer nanofiber networks. Ordered and random networks of nanofilaments composed of polymeric or biological materials are omnipresent in biological tissues, tissue scaffolds, biomedical implants, electrospun air filtration systems, cellulose products, etc. Undergraduate researchers will work with the faculty and graduate students to develop web-based, interactive educational classroom modules to introduce students to the concepts of fiber networks and design.The research focuses on regular and random quasi-2D nanofiber networks with bonded and non-bonded (cohesive) interactions between polymeric nanofibers, to identify ways for constructing networks with exceptional strength and toughness. To this effect, a tightly integrated experimental/computational research program will be followed in which the mechanical response of polystyrene (PS) and polyacrylonitrile (PAN) nanofibers (100-500 nm diameter), and the strength of bonded fiber interactions and adhesive PS-PS and PAN-PAN fiber contacts will be determined using novel experiments. The data will be employed to calibrate a computational model for the network mechanics, which will account for bonded, adhesive and topological interactions of nanofibers and will be used to determine the relative importance of these interactions in the overall mechanical behavior of networks with various network architectures and parameter sets. The model will be validated based on targeted experiments performed on regular and random fiber networks, and will be applied to perform optimization of the network structure for enhanced strength and toughness.

该奖项支持研究表征纳米丝状材料（如凝胶、橡胶、组织支架、纤维素产品和非织造布）的聚合物微球网络的有效机械强度和延展性。虽然宏观尺度的纤维网络是相当好的理解，纳米纤维的行为不同于它们的宏观尺度的对应物，由于其突出的延展性和强度的耦合效应，在微米尺度的纤维中没有观察到，和纳米纤维之间的相对较强的粘附。这两个显著的特征导致了目前尚未探索的控制和大大提高聚合物网状物的有效机械强度和延展性的机会。由聚合物或生物材料组成的纳米丝的有序和随机网络在生物组织，组织支架，生物医学植入物，静电纺丝空气过滤系统，纤维素产品等中无处不在。本科研究人员将与教师和研究生合作，开发基于网络，交互式教育课堂模块，向学生介绍光纤网络和设计的概念。研究重点是规则和随机准，聚合物纳米纤维之间具有键合和非键合（内聚）相互作用的2D聚合物网络，以确定构建具有特殊强度和韧性的网络的方法。为此，将遵循一个紧密集成的实验/计算研究计划，其中聚苯乙烯（PS）和聚丙烯腈（PAN）纳米纤维（直径100-500 nm）的机械响应，以及粘合纤维相互作用和粘合剂PS-PS和PAN-PAN纤维接触的强度将使用新的实验来确定。这些数据将用于校准网络力学的计算模型，该模型将考虑纳米纤维的粘合，粘合和拓扑相互作用，并将用于确定这些相互作用在具有各种网络架构和参数集的网络的整体机械行为中的相对重要性。该模型将基于在规则和随机纤维网络上进行的有针对性的实验进行验证，并将应用于网络结构的优化，以提高强度和韧性。