DMREF: Collaborative Research: An integrated multiscale modeling and experimental approach to design fouling-resistant membranes

DMREF：协作研究：设计防污膜的集成多尺度建模和实验方法

基本信息

批准号：
1742175
负责人：
Ilenia Battiato
金额：
$ 21.17万
依托单位：
Stanford University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-01-01 至 2019-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1742175&HistoricalAwards=false
关键词：
DMREF Collaborative Research integrated multiscale

项目摘要

1534304(Sarupria) & 1533874(Battiato)This project addresses a grand challenge facing society today--how to make clean water available to a growing population at low cost. Membranes used in water treatment processes are exposed to feed waters containing organic, inorganic, and biological species, which leads to fouling and loss of membrane productivity over time. Since performance loss due to fouling is one of the largest costs associated with membrane processes in water treatment, discovery of new surface treatments that limit fouling would have significant economic and societal impacts. Fouling propensity of a membrane depends greatly on its surface properties such as chemistry and morphology. The goal of this project is to develop the multiscale mathematical framework to predict fouling behavior on the surfaces of membranes with different geometric patterns and chemical coatings. The ability to predict fouling properties of new membrane surfaces in silico will accelerate the discovery of novel membrane designs and decrease the time from laboratory to market. In this project, comprehensive studies involving iterative feedback between computational modeling and experimental measurements will be performed to test two main hypotheses: (1) targeted combinations of geometric and chemical patterns on a membrane surface will significantly reduce membrane fouling, and (2) experimentally-trained multiscale computational models will accelerate the discovery of novel geometric and chemical surface modifications that significantly reduce membrane fouling. This research will (i) produce a mathematical framework and corresponding models to identify the physical mechanisms and geometric features controlling mass and momentum transfer through and over micro- and nanopatterned membranes, (ii) provide a deep understanding of how foulants and energy fluxes are controlled and regulated by complex topologies, and (iii) elucidate how the macroscopic behavior of filtration flow rates and reactive transport processes are coupled with phenomena at the micro- and nano-scale. This work will be transformational because delivering an experimentally-validated computational framework will enable rapid screening of many membrane surface modifications to short-list the most promising ones for further testing, and it will lead to a leapfrog improvement in membrane filtration technologies. This project will provide a multidisciplinary environment for training graduate and undergraduate researchers. New communication platforms such as Zoom video conferencing will be used to deliver virtual science demonstrations and laboratory tours to elementary school.

1534304（Sarupria）和1533874（Battiato）该项目应对当今社会面临的巨大挑战 - 如何以低成本为不断增长的人口提供清洁的水。水处理过程中使用的膜暴露于含有有机，无机和生物物种的饲料水中，这会随着时间的流逝而导致膜生产率的结垢和丧失。由于由于结垢而导致的绩效损失是与水处理中膜过程相关的最大成本之一，因此发现限制污染的新表面处理将产生重大的经济和社会影响。膜的结垢倾向在很大程度上取决于其表面特性，例如化学和形态。该项目的目的是开发多尺度数学框架，以预测具有不同几何模式和化学涂层的膜表面上的犯规行为。预测硅中新膜表面的结垢性能的能力将加速新型膜设计并减少实验室到市场的时间。在这个项目中，将进行涉及计算模型和实验测量之间迭代反馈的综合研究，以测试两个主要假设：（1）膜表面上几何和化学模式的有针对性组合将显着降低膜污染，（2）（2）实验性的多盘计算模型可显着地表面启动新颖的几点。 This research will (i) produce a mathematical framework and corresponding models to identify the physical mechanisms and geometric features controlling mass and momentum transfer through and over micro- and nanopatterned membranes, (ii) provide a deep understanding of how foulants and energy fluxes are controlled and regulated by complex topologies, and (iii) elucidate how the macroscopic behavior of filtration flow rates and reactive transport processes are coupled with phenomena在微观和纳米级。这项工作将是转变的，因为提供实验验证的计算框架将使许多膜表面修饰能够快速筛选，从而将最有前途的进一步测试列入候补列表，这将导致膜过滤技术的跨越改进。该项目将为培训研究生和本科研究人员提供多学科的环境。诸如缩放视频会议之类的新通信平台将用于向小学提供虚拟科学演示和实验室旅行。