Collaborative Research: Development of a Predictive Multiphysics Computational Model for Nanoparticle Synthesis Using Flame-Spray Pyrolysis

合作研究：开发利用火焰喷雾热解合成纳米粒子的预测多物理计算模型

• 批准号: 0730612
• 负责人: Venkatramanan Raman
• 金额: --
• 依托单位: University of Texas at Austin
• 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: 2007-09-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0730612&HistoricalAwards=false
• 关键词: Collaborative; Research; Development; Predictive; Multiphysics

Award AbstractProposal Number: CBET-0730612 / CBET-0730369Principal Investigator: Raman, Venkatramanan / Fox, Rodney O.Affiliation: University of Texas at Austin / Iowa State UniversityProposal Title: Collaborative Research: Development of a Predictive Multiphysics Computational Model for Nanoparticle Synthesis Using Flame-Spray PyrolysisAn important goal for nanotechnology and for industry in general is the large-scale production of nanoparticles, whose ultimate uses are many and potentially revolutionary with respect to materials processing and material properties. The investigators in this collaborative research program will study flame spray pyrolysis (FSP) numerically as a means of manufacturing doped metal-oxide nanoparticles, developing a predictive modeling tool. The project involves several elements - turbulent flame, spray dynamics, pyrolysis reaction and their mutual interactions and five institutions the University of Texas Austin, Iowa State University, Ames Research Laboratory, Millennium Inorganic Chemicals, Inc., and the Swiss Federal Institute of Technology Zurich (ETH Zurich). Five sub-tasks (chemical mechanism, particle evolution, flame/particle interaction, model validation and data access tool) are divided among the three lead investigators. The participants will interact through a cyberinfrastructure collaboratory that has intellectually interesting elements in itself. The proposed model will use a unified Large Eddy Simulation / Filtered Density Function approach with a goal of optimizing FSP production routes for manufacture of doped zirconia and titanium dioxide nanoparticles, specifically prediction of final particle size distribution in FSP reactors. The filtered density function concept is a very promising approach to combustion LES, and the proposed work is an excellent example of complementary studies.The success of this project is also expected to have a significant impact on combustion-turbulence modeling, applicable to fields such as fire dynamics and soot modeling, and to expand understanding in an area where the research can benefit many diverse technological disciplines. Research results will be integrated into graduate and undergraduate curricula, and the project will train graduate and undergraduate research students. Recruitment of women and under-represented minority is a goal in both institutions, leveraging university assets for recruitment and employment of students from traditionally underrepresented groups.

获奖摘要提案编号：CBET-0730612 / CBET-0730369主要研究者：拉曼、文卡特拉曼南/福克斯、罗德尼O.隶属关系： 德克萨斯大学奥斯汀分校/爱荷华州州立大学提案标题：合作研究：开发一个预测多物理场计算模型，用于纳米颗粒合成使用火焰喷雾热解纳米技术和工业的一个重要目标是大规模生产纳米颗粒，其最终用途是许多和潜在的革命性的材料加工和材料性能。 这项合作研究计划的研究人员将研究火焰喷雾热解（FSP）作为制造掺杂金属氧化物纳米颗粒的一种手段，开发预测建模工具。 该项目涉及几个要素-湍流火焰、喷雾动力学、热解反应及其相互作用和五个机构德克萨斯大学奥斯汀分校、爱荷华州州立大学、艾姆斯研究实验室、千禧无机化学公司、和瑞士联邦理工学院苏黎世（ETH苏黎世）。五个子任务（化学机理，粒子演化，火焰/粒子相互作用，模型验证和数据访问工具）之间的三个主要研究者被划分。 参与者将通过网络基础设施合作实验室进行互动，该实验室本身具有智力上有趣的元素。 所提出的模型将使用统一的大涡模拟/过滤密度函数方法，其目标是优化用于制造掺杂氧化锆和二氧化钛纳米颗粒的FSP生产路线，特别是预测FSP反应器中的最终粒度分布。过滤密度函数的概念是一个非常有前途的燃烧LES的方法，所提出的工作是一个很好的例子互补studies.The成功的这个项目也有望产生重大影响的燃烧湍流建模，适用于火灾动力学和烟尘建模等领域，并扩大在该领域的研究可以受益于许多不同的技术学科的理解。研究成果将纳入研究生和本科生课程，该项目将培训研究生和本科生。这两个机构的一个目标是征聘妇女和代表性不足的少数群体，利用大学资产征聘和雇用传统上代表性不足的群体的学生。