MRI: Acquisition of a High-Speed Particle Image Velocimetry System for Fluid Dynamics Research

MRI:采集用于流体动力学研究的高速粒子图像测速系统

基本信息

  • 批准号:
    0521173
  • 负责人:
  • 金额:
    $ 32.54万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2005
  • 资助国家:
    美国
  • 起止时间:
    2005-09-01 至 2006-08-31
  • 项目状态:
    已结题

项目摘要

CTS-0521173M. Olsen, Iowa State UniversityThis grant is to acquire a high-speed particle imaging velocimetry (PIV) system for fluid mechanics research. The team of principal investigators collectively has a vast amount of experience in laser-based flow measurement techniques such as PIV and planar laser-induced fluorescence (PLIF). This experience includes contributions in the development and advancement of novel PIV and PLIF techniques, the application of PIV and PLIF to challenging flow conditions and complex flow geometries, and the integration of experimental and computational fluid dynamics into coordinated research programs. While the acquisition of a high-speed PIV system will benefit a number of ongoing fluid mechanics research projects at ISU, two research projects have been selected for immediate implementation of the high speed PIV system, with the system later made available to other laboratories. These two programs are the turbulent reactive mixing program and the Wind Engineering and Experimental Aerodynamics (WEEA) program. These two programs have been chosen because the research facilities for these programs are already fully operational, and the faculty and students working on these programs have experience in performing PIV and PLIF measurements in these facilities. The acquisition of the high-speed PIV system will complement ongoing efforts to enhance undergraduate education. For example, to integrate classroom instruction and research in the WEEA program, the project's tornado and microburst simulators have been designed to facilitate classroom presentation of laboratory results. With these simulators and with the high-speed PIV system, research results can be directly demonstrated in undergraduate classes, highlighting the relevance of fluid mechanics in real-life applications, and introducing students to the cutting-edge tools used in fluid mechanics research. The PIs also have a history of providing research opportunities to undergraduate students and of recruiting students from underrepresented groups. The research advances that will be made possible with the high-speed PIV system will lead to direct benefits to society.. In the WEEA program, the benefits to society are minimizing the loss of human lives and mitigating the damage to ground-based structures.
CTS-0521173M。奥尔森,爱荷华州州立大学这笔赠款是为了获得一个高速粒子成像测速(PIV)系统的流体力学研究。 主要研究人员团队在基于激光的流量测量技术(如PIV和平面激光诱导荧光(PLIF))方面拥有丰富的经验。这些经验包括对新型PIV和PLIF技术的开发和进步,PIV和PLIF在具有挑战性的流动条件和复杂流动几何形状中的应用,以及将实验和计算流体动力学整合到协调的研究计划中的贡献。 虽然高速粒子图像测速系统的购买将使ISU许多正在进行的流体力学研究项目受益,但已选择两个研究项目立即实施高速粒子图像测速系统,该系统随后将提供给其他实验室。这两个计划是湍流反应混合计划和风力工程和实验空气动力学(WEEA)计划。之所以选择这两个项目,是因为这些项目的研究设施已经完全投入使用,从事这些项目的教师和学生在这些设施中进行PIV和PLIF测量方面有经验。高速PIV系统的采购将补充正在进行的努力,以加强本科教育。例如,为了在WEEA方案中整合课堂教学和研究,设计了该项目的龙卷风和微下击暴流模拟器,以便于在课堂上介绍实验室结果。通过这些模拟器和高速PIV系统,研究成果可以直接在本科课堂上展示,突出流体力学在实际应用中的相关性,并向学生介绍流体力学研究中使用的尖端工具。 PI也有为本科生提供研究机会和从代表性不足的群体中招募学生的历史。 高速PIV系统所带来的研究进展将直接造福社会。在WEEA计划中,对社会的好处是最大限度地减少人类生命的损失和减轻对地面结构的破坏。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Michael Olsen其他文献

Combustion resistance of the 129Xe hyperpolarized nuclear spin state.
129Xe超极化核自旋态的燃烧阻力。
  • DOI:
    10.1039/c2cp43382f
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    K. Stupic;Joseph S. Six;Michael Olsen;G. Pavlovskaya;T. Meersmann
  • 通讯作者:
    T. Meersmann
NT-PROBNP, LEFT VENTRICULAR STRUCTURE AND FUNCTION, AND LONG-TERM CARDIOVASCULAR EVENTS: INSIGHTS FROM A PROSPECTIVE POPULATION-BASED COHORT STUDY
  • DOI:
    10.1016/s0735-1097(17)34139-6
  • 发表时间:
    2017-03-21
  • 期刊:
  • 影响因子:
  • 作者:
    Manan Pareek;Deepak L. Bhatt;Muthiah Vaduganathan;Tor Biering-Sørensen;Jacob E. Møller;Margrét Leósdóttir;Martin Magnusson;Peter M. Nilsson;Michael Olsen
  • 通讯作者:
    Michael Olsen
A high precision gas flow cell for performing in situ neutron studies of local atomic structure in catalytic materials.
高精度气体流动池,用于对催化材料中的局部原子结构进行原位中子研究。
  • DOI:
    10.1063/1.4978287
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. Olds;K. Page;A. Paecklar;P. F. Peterson;Jue Liu;G. Rucker;Mariano Ruiz;Michael Olsen;Michelle D. Pawel;S. Overbury;J. Neilson
  • 通讯作者:
    J. Neilson
INCREASED HIGH SENSITIVITY C-REACTIVE PROTEIN IS ASSOCIATED WITH AORTIC VALVE REPLACEMENT IN PATIENTS WITH MILD TO MODERATE AORTIC VALVE STENOSIS: A SEAS SUBSTUDY
  • DOI:
    10.1016/s0735-1097(14)61922-7
  • 发表时间:
    2014-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Adam Blyme;Camilla Asferg;Olav Nielsen;Kurt Boman;Christa Gohlke-Baerwolf;Antero Kesniemi;Christoph Nienaber;Terje Pedersen;Simon Ray;Anne Rosseb;Ronnie Willenheimer;Kristian Wachtell;Michael Olsen
  • 通讯作者:
    Michael Olsen
Incidence and predictors of post-thrombotic syndrome in patients with proximal DVT in a real-world setting: findings from the GARFIELD-VTE registry
现实世界中近端 DVT 患者血栓后综合征的发生率和预测因素:GARFIELD-VTE 登记处的发现
  • DOI:
    10.1007/s11239-023-02895-7
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4
  • 作者:
    P. Prandoni;Sylvia Haas;M. Fluharty;S. Schellong;Harry Gibbs;Eric Tse;M. Carrier;B. Jacobson;H. ten Cate;E. Panchenko;P. Verhamme;K. Pieper;G. Kayani;L. A. Kakkar;Nik Akihiko Juan David Taylan David Walter Giancarlo M Abdullah Abiko Abril Acevedo Adademir Adler Ageno ;Nik Abdullah;Akihiko Abiko;Juan Abril;David Acevedo;T. Adademir;David Adler;W. Ageno;G. Agnelli;Mostafa Ahmed;Ahmet Aksoy;Serir Aktogu;Gholam Ali;Raz Alikhan;Gregory Allen;P. Angchaisuksiri;Sevestre Antoinette;Amy Arouni;Addala Azeddine;Tarek Azim;Wilfried Backer;Y. Balthazar;Soo Bang;M. Banyai;Olga Barbarash;Marcelo Barrionuevo;Mostafa Bary;Bektas Battaloglu;W. Bax;Terriat Béatrice;Steffen Behrens;D. Belenky;Juan Benitez;M. Berli;Peuch Bernadette;Andrea Berni;M. Betsbrugge;Adriaan Beyers;Abraham Bezuidenhout;Claude Bidi;Peter Bilderling;Laure Binet;Tina Biss;Luis Blasco;Erwin Blessing;Peter Blombery;J. Bono;K. Boomars;Juree Boondumrongsagoon;Lohana Borges;M. Bosch;Louis Botha;H. Bounameaux;T. Boussy;Margaret Bowers;Mikhail Boyarkin;Cornelia Brauer;Kate L. Burbury;Hana Burianova;Yuriy Burov;Cas Cader;R. Canevascini;L. Capiau;Roberto Cappelli;Boulon Carine;M. Carrier;Abu Carrim;Patrick Carroll;Tomas Casabella;H. Cate;Marco Cattaneo;Vladimir Cech;Luis Cervera;Seung Cha;Joseph Chacko;Kuan Chang;K. Chansung;Ting Chao;Anoop Chauhan;S. Chayangsu;Mariam Chetanachan;Lee Chew;Chern Chiang;Kuan Chiu;Won Choi;Ponchaux Christian;Brousse Christophe;Seinturier Christophe;Sanjeev Chunilal;Amanda Clark;Abdurrahim Colak;João Correa;B. Cosmi;Franco Cosmi;Z. Coufal;D. Creagh;L. Cristina;Carlos Cuneo;Garcia Dalmau;Garrigues Damien;Armando D’Angelo;H. Darius;Sudip Datta;Adriaan Dees;Mohamed Dessoki;C. Díaz;Enrique Diaz;Emre Dogan;Brisot Dominique;Elkouri Dominique;Stephan Dominique;Servaas Donders;Dmitry Dorokhov;Johan Duchateau;Norberto Duda;Grace Eddie;Hallah Elali;H. Eldin;Chevrier Elisa;Messas Emmanuel;Barbara Erdelyi;Frans Erdkamp;Ehab M. Esheiba;G. Esperón;Sherif Essameldin;T. Everington;Markus Faghih;Anna Falanga;J. Fedele;R. Ferkl;A. Fernandez;Manuel Fernandez;P. Ferrini;F. Ferroni;Jose Filho;Mark Fixley;John Fletcher;Oscar Flores;Couturaud Francis;Bergmann Francois;Hendrik Franow;Amr Gad;Mohamed Gaffar;Mary Gaffney;G. Gal;Javier Galvar;Angel Galvez;Marco Gamba;Gin Gan;V. Gerdes;Hagen Gerofke;Harry Gibbs;H. Gogia;Ivan Gordeev;Shinya Goto;Sam Griffin;Christina Gris;Ernst Grochenig;J. Gujral;Ozcan Gur;Orcun Gurbuz;Michel Gustin;Luis Guzman;Chung Ha;Ghassan Haddad;Dirk Hagemann;P. Hainaut;Muhammad Hameed;Terence Hart;Hatice Hasanoglu;Erman Hashas;Wilhelm Haverkamp;Desmurs Helene;Fitjerald Henry;Artur Herdy;Rika Herreweghe;Masao Hirano;Prahlad Ho;Wai Ho;G. Hollanders;Miroslav Homza;Thomas Horacek;Chien Hsia;Chien Huang;Chien Huang;Chun Huang;Julian Humphrey;Beverley Hunt;Azlan Husin;Hun Hwang;Piriyaporn Iamsai;Manuel Ibarra;D. Imberti;Mahe Isabelle;Selim Isbir;B. Jacobson;P. Janský;Weihong Jiang;D. Jiménez;Zhicheng Jing;Jin Joh;G. Kamalov;Junji Kanda;Masashi Kanemoto;N. Kanitsap;M. Kanko;Kemal Karaarslan;J. Kassis;Atsushi Kato;Andrey Kazakov;David Keeling;Reinhold Keim;Allan Kelly;Mohamed Khan;Bonnie Kho;Alexey Khotuntsov;Ho Kim;Igor Kim;JangYong Kim;Jin Kim;Moo Kim;Yang Kim;Ilker Kiris;R. Klamroth;A. Kleiban;Garry Klein;Katsuhiro Kondo;Martin Koretzky;Wolfgang Korte;Modise Koto;F. Koura;Michael Kovacs;Vladimir Krasavin;Alan Krichell;Knut Kroeger;Ralf Kroening;Jiri Krupicka;Emre Kubat;Dusan Kucera;Shintaro Kuki;Jen Kuo;J. Kvasnička;Chi Kwok;JiHyun Kwon;Wen Lai;Pavel Lang;Jose Lara;J. Laštůvka;Holger Lawall;Michael Leahy;Jae Lee;Moon Lee;Raul Leon;Siwe Léopold;Michael Levy;Igor Libov;Wei Lin;Ann Lockman;C. Lodigiani;Irene Looi;Luciano López;Ab Loualidi;Charles Lunn;Canhua Luo;T. Luvhengo;Shaun Maasdorp;Peter MacCallum;Andrew Machowski;Mujibur Majumder;N. Makruasi;W. Malek;Kubina Manuel;P. Marchena;Javier Marino;Rafael Martinez;Shunzo Matsuoka;A. Mazzone;Simon McRae;Stuart Mellor;Robert Mendes;G. Merli;Antoni Mestre;Escande Michèle;Saskia Middeldorp;Raimundo Miranda;Ahmed Mohamed;Monniaty Mohamed;M. Moia;Dorthe Møller;Serge Motte;Moustafa Moustafa;N. Mumoli;Yeung Mun;Michael Munch;J. Muntaner;Bisher Mustafa;P. Mutirangura;Martin Myriam;Sang Na;Mohamed Nagib;Hiroaki Nakamura;Mashio Nakamura;Satoshi Nakazawa;Seung Nam;Bhavesh Natha;Falvo Nicolas;J. Nielsen;L. Norasetthada;Nordiana Nordin;T. Numbenjapon;Ole Nyvad;Hans Ohler;Yasushi Ohnuma;Michael Olsen;Tomoya Onodera;Christian Opitz;Alisha Oropallo;R. Otero;Oztekin Oto;Jorge Paez;E. Panchenko;Félix Paredes;Jin Park;Yong Park;Nishen Paruk;Siriwimon Patanasing;Guillot Paul;Michel Pauw;Jose Peromingo;Dmitry Petrov;W. Pharr;Georg Plassmann;George Platt;Ivo Podpera;G. Poirier;D. Poli;E. Porreca;Domenico Prisco;R. Prosecký;Jiri Pumprla;Herbert Raedt;Rapule Ratsela;Selma Raymundo;Raquel Reyes;Tim Reynolds;L. Ria;P. Rojnuckarin;Dirk Roux;Ayman Salem;Rita Santoro;Jose Saraiva;J. Sathar;Ismail Savas;S. Schellong;Lilia Schiavi;Andor Schmidt;Renate Schmidt;Herman Schroe;M. Schul;C. Schwencke;David Scott;Gaurand Shah;Yoshisato Shibata;Jhih Shih;Hyeok Shim;Sherif Sholkamy;Kou Shyu;Rupesh Singh;Suaran Singh;D. Skowasch;A. Slocombe;Clifford Smith;German Sokurenko;Mosaad Soliman;S. Solymoss;Ik Song;Igor Sonkin;Joan Souto;Rudolf Spacek;Ilya Staroverov;Daniel Staub;H. Striekwold;Markus Stuecker;Y. Subbotin;Igor Suchkov;Shenghua Sun;J. Suriñach;T. Suwanban;Koscál Svatopluk;Jaromira Svobodova;Mersel Tahar;Kensuke Takeuchi;Y. Tanabe;Isabel Tenorio;Sophie Testa;Daniel Theodoro;Hongyan Tian;L. Tick;Luc Timmermans;Seng Ting;E. Tiraferri;Cheng Toh;See Toh;Vladimir Tolstikhin;Jorge Toro;A. Tosetto;Berremeli Toufek;B. Trimarco;Eric Tse;Wei Tseng;Hatice Turker;Kwo Ueng;E. Usandizaga;K. Vandenbosch;Jan Vanwelden;P. Verhamme;Jiri Vesely;Beatrice Vesti;P. Viboonjuntra;O. Vilamajó;Philippe Vleeschauwer;Haofu Wang;Shenming Wang;Chris Ward;Akinori Watanabe;Simon Watt;J. Welker;Rachel Wells;Kwan Wern;Jan Westendorf;Richard White;Benedicte Wilson;Lily Wong;Raymond Wong;S. Wongkhantee;Chau Wu;Chih Wu;Cynthia Wu;Jinghua Yang;Zhenwen Yang;Zhongqi Yang;Celal Yavuz;Erik Yeo;H. Yhim;Kai Yiu;Shuichi Yoshida;Winston Yoshida;C. Zaidman;Dmitry Zateyshchikov;Thomas Zeller;Stanislav Zemek;Lei Zhang;Weihua Zhang;Hong Zhu;Hesham Zidan;Brian Zidel;K. Zrazhevskiy;Nadezhda A. Zubareva.
  • 通讯作者:
    Nadezhda A. Zubareva.

Michael Olsen的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Michael Olsen', 18)}}的其他基金

Collaborative Research: Droplet breakup in homogenous turbulence: model validation through experiments and direct numerical simulations
合作研究:均匀湍流中的液滴破碎:通过实验和直接数值模拟进行模型验证
  • 批准号:
    2201707
  • 财政年份:
    2022
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
Planning Grant: Engineering Research Center for Built Infrastructure Geospatial Data Acquisition, Visualization, and Analysis (BIGDAVA)
规划资助:建筑基础设施地理空间数据采集、可视化和分析工程研究中心(BIGDAVA)
  • 批准号:
    1937070
  • 财政年份:
    2019
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
RAPID/Collaborative Research: Investigation of the Effects of Rockfall Impacts on Structures During the Christchurch Earthquake Series
快速/合作研究:调查基督城地震系列期间落石对结构的影响
  • 批准号:
    1439883
  • 财政年份:
    2014
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
CAREER/CDS&E: Advanced, 3D Infrastructure Information Modeling Using Lidar
职业/CDS
  • 批准号:
    1351487
  • 财政年份:
    2014
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
Collaborative Research: RAPID - Post-Disaster Structural Data Collection Following the 11 March 2011 Tohoku, Japan Tsunami
合作研究:RAPID - 2011 年 3 月 11 日日本东北海啸后的灾后结构数据收集
  • 批准号:
    1138699
  • 财政年份:
    2011
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
Nanoprecipitation in Turbulent Liquid-Phase Vortex Reactors: A Fundamental Investigation of Scale Up Using Experimentally Validated CFD Models
湍流液相涡旋反应器中的纳米沉淀:使用经过实验验证的 CFD 模型进行放大的基础研究
  • 批准号:
    0932978
  • 财政年份:
    2009
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
CAREER: Development of Microstructures for High Heat Flux Applications Utilizing Non-Intrusive Temperature and Velocity Measurement Techniques
职业:利用非侵入式温度和速度测量技术开发高热通量应用的微观结构
  • 批准号:
    0134469
  • 财政年份:
    2002
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant

相似海外基金

MRI: Track 1 Acquisition of High-Speed Volumetric Particle Tracking System
MRI:高速体积粒子跟踪系统的 Track 1 采集
  • 批准号:
    2320560
  • 财政年份:
    2023
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
MRI: Acquisition of a laser scanning confocal microscope with enhanced resolution, sensitivity, and speed to serve as a regional resource for research and education
MRI:购买具有增强分辨率、灵敏度和速度的激光扫描共焦显微镜,作为区域研究和教育资源
  • 批准号:
    2214633
  • 财政年份:
    2022
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
MRI: Acquisition of a High-Speed Biplanar Fluoroscopy System for Non-Invasive Quantitative Imaging of Human Movement
MRI:获取高速双平面透视系统,用于人体运动的非侵入性定量成像
  • 批准号:
    2216029
  • 财政年份:
    2022
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
MRI: Acquisition of Ultra-High Speed Data Characterization System for Convergent Research in Big Data Era
MRI:获取超高速数据表征系统,用于大数据时代的融合研究
  • 批准号:
    2117424
  • 财政年份:
    2021
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
MRI: Acquisition of a High-Speed Digital Image Correlation System for Research and Education
MRI:获取用于研究和教育的高速数字图像相关系统
  • 批准号:
    2117732
  • 财政年份:
    2021
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
MRI: Acquisition of a High-Speed Camera for a Primarily Undergraduate Institution
MRI:为本科院校采购高速摄像机
  • 批准号:
    2018150
  • 财政年份:
    2020
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
MRI: Acquisition of a high-speed stereoscopic particle image velocimetry system for research and teaching at the University of St. Thomas
MRI:圣托马斯大学购置高速立体粒子图像测速系统用于研究和教学
  • 批准号:
    2018403
  • 财政年份:
    2020
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
MRI: Acquisition of Flexible High-speed Super-Resolution System for Plant Research
MRI:获取用于植物研究的灵活高速超分辨率系统
  • 批准号:
    2018962
  • 财政年份:
    2020
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
MRI: Acquisition of a High-Speed Lithography Tool for Research and Education at the University of Hawaii
MRI:夏威夷大学购买用于研究和教育的高速光刻工具
  • 批准号:
    1919539
  • 财政年份:
    2019
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
MRI: Acquisition of a high-speed volumetric particle image velocimetry system for fluid mechanics research and research training in science, mathematics, and engineering
MRI:获取高速体积粒子图像测速系统,用于流体力学研究和科学、数学和工程方面的研究培训
  • 批准号:
    1919570
  • 财政年份:
    2019
  • 资助金额:
    $ 32.54万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了