Collaborative Research: Numerical and Experimental Investigation of Turbulent Transport Control via Shaping of Radial Plasma Flow Profiles

合作研究:通过径向等离子体流轮廓整形控制湍流传输的数值和实验研究

基本信息

  • 批准号:
    0913663
  • 负责人:
  • 金额:
    $ 8.86万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-08-01 至 2013-07-31
  • 项目状态:
    已结题

项目摘要

This award is made in response to a collaborative proposal submitted to and reviewed under the NSF/DoE Partnership in Basic Plasma Science and Engineering joint solicitation NSF 08-589. This award funds the research component of the project being conducted by Dr. Andrew Ware at the University of Montana. The research components of Dr. Ware's collaborators, Dr. Eugenio Schuster of Lehigh University and Dr. Mark Gilmore of the University of New Mexico, are funded by the DoE under contract number DE-FG02-09ER55022 and DE-FG02-09ER55062This research aims to investigate active control of unstable fluctuations, including fully developed turbulence and the associated cross-field particle transport, via manipulation of flow profiles in a magnetized laboratory plasma device. Fluctuations and particle transport will be monitored by an array of electrostatic probes, and flow profiles controlled via a set of biased concentric ring electrodes that terminate the plasma column. The goals of the proposed research are threefold. 1. to develop a predictive code to simulate plasma transport in the linear HELCAT (HELicon-CAThode) plasma device at the University of New Mexico (UNM), where the experimental component of the proposed research will be carried out. 2. to establish the feasibility of using advanced model-based control algorithms to control cross-field turbulence-driven particle transport through appropriate manipulation of radial plasma flow profiles. 3. to investigate the fundamental nonlinear dynamics of turbulence and transport physics. The outcome of the proposed research, although focused on basic plasma physics, will have a strong impact on the scientific advancements that are needed to make nuclear fusion a viable source of energy, and will therefore produce a profound impact on an area of immense importance to the welfare of society. The proposed research will advance discovery while promoting teaching and learning. Due to its multidisciplinary nature, the proposed research plan brings together concepts from plasma physics, computational methods, and controls, with emphasis on experimental validation of the proposed modeling and control solutions. Graduate and undergraduate students will benefit from this unique multidisciplinary experience that will enhance their ability to conduct advanced research, think creatively, take advantage of unique facilities making good use of collaborative arrangements, and work in an individual capacity and as members of a team. The infrastructure for research and learning will be enhanced in each one of the collaborating institution. This collaboration will grant access to graduate and undergraduate students to the HELCAT experimental facility, where they can conduct experiments to validate the modeling and control solutions that result from their research, and will expose each one of the participating students to new research areas.
该奖项是为了响应提交给NSF/DoE基础等离子体科学与工程合作伙伴关系NSF 08-589联合招标的合作提案。该奖项为蒙大拿大学Andrew Ware博士正在进行的项目的研究部分提供资金。 Ware博士的合作者、利哈伊大学的Eugenio Schuster博士和新墨西哥州大学的Mark Gilmore博士的研究部分由美国能源部资助,合同号为DE-FG 02 - 09 ER 55022和DE-FG 02 - 09 ER 55062。包括充分发展的湍流和相关的交叉场粒子传输,通过操纵磁化实验室等离子体装置中的流动轮廓。波动和颗粒传输将通过静电探针阵列进行监测,并且通过一组终止等离子体柱的偏置同心环电极来控制流量分布。拟议研究的目标有三个方面。1.开发一个预测代码,以模拟在线性HELCAT(HELicon-CAThode)等离子体设备在新墨西哥州大学(UNM),在拟议的研究的实验部分将进行等离子体传输。2.建立使用先进的基于模型的控制算法的可行性,通过适当操纵径向等离子体流动轮廓来控制交叉场连续性驱动的粒子传输。3.研究湍流和传输物理学的基本非线性动力学。拟议研究的结果虽然侧重于基础等离子体物理学,但将对使核聚变成为可行能源所需的科学进步产生重大影响,因此将对一个对社会福利极为重要的领域产生深远影响。拟议中的研究将在促进教学的同时推进发现。由于其多学科性质,拟议的研究计划汇集了等离子体物理,计算方法和控制的概念,重点是拟议的建模和控制解决方案的实验验证。研究生和本科生将从这种独特的多学科经验中受益,这将提高他们进行高级研究的能力,创造性地思考,利用独特的设施,充分利用协作安排,并以个人身份和团队成员的身份工作。每个合作机构的研究和学习基础设施都将得到加强。这项合作将授予研究生和本科生访问HELCAT实验设施,在那里他们可以进行实验,以验证他们的研究所产生的建模和控制解决方案,并将使每个参与学生接触新的研究领域。

项目成果

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Andrew Ware其他文献

Parallel distributed viewshed analysis
并行分布式视域分析
  • DOI:
    10.1145/288692.288719
  • 发表时间:
    1998
  • 期刊:
  • 影响因子:
    9.6
  • 作者:
    Andrew Ware;D. Kidner;Philip J. Railings
  • 通讯作者:
    Philip J. Railings
Can Artificial Intelligence Alleviate Resource Scarcity
人工智能能否缓解资源短缺
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Andrew Ware
  • 通讯作者:
    Andrew Ware

Andrew Ware的其他文献

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