• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

粒子图像测速技术基于组件的过去与当前详细阐述:全面综述。

Past and current components-based detailing of particle image velocimetry: A comprehensive review.

作者信息

Rohacs Daniel, Yasar Onur, Kale Utku, Ekici Selcuk, Yalcin Enver, Midilli Adnan, Karakoc T Hikmet

机构信息

Department of Aeronautics and Naval Architecture, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, HU-1111, Budapest, Hungary.

Aviation Academy, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.

出版信息

Heliyon. 2023 Mar 11;9(3):e14404. doi: 10.1016/j.heliyon.2023.e14404. eCollection 2023 Mar.

DOI:10.1016/j.heliyon.2023.e14404
PMID:36950576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10025931/
Abstract

Particle image velocimetry has been widely used in various sectors from the automotive to aviation, research, and development, energy, medical, turbines, reactors, electronics, education, refrigeration for flow characterization and investigation. In this study, articles examined in open literature containing the particle image velocimetry techniques are reviewed in terms of components, lasers, cameras, lenses, tracers, computers, synchronizers, and seeders. The results of the evaluation are categorized and explained within the tables and figures. It is anticipated that this paper will be a starting point for researchers willing to study in this area and industrial companies willing to include PIV experimenting in their portfolios. In addition, the study shows in detail the advantages and disadvantages of past and current technologies, which technologies in existing PIV laboratories can be renewed, and which components are used in the PIV laboratories to be installed.

摘要

粒子图像测速技术已广泛应用于从汽车到航空、研发、能源、医疗、涡轮机、反应堆、电子、教育、制冷等各个领域,用于流动特性表征和研究。在本研究中,对公开文献中包含粒子图像测速技术的文章从组件、激光器、相机、镜头、示踪剂、计算机、同步器和撒种器等方面进行了综述。评估结果在表格和图表中进行了分类和解释。预计本文将成为愿意在该领域开展研究的研究人员以及愿意将粒子图像测速实验纳入其业务范围的工业公司的起点。此外,该研究详细展示了过去和当前技术的优缺点、现有粒子图像测速实验室中哪些技术可以更新,以及新建粒子图像测速实验室将使用哪些组件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/4c3b2e2359f8/gr28.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/522d6a439b10/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/02096b4b0508/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/8580251e0188/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/664810fe0c84/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/655ed1094069/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/a5e59f2e43c8/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/01f8aba58ac8/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/77c5d9a6e720/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/d13b0955d883/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/ef9b9f2acc5c/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/4d71d04ff3a9/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/a92ffa189f35/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/ffcae1efdfa8/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/01cba5b28117/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/d461393cc506/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/ed7fc68496ca/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/77dc2c7b6eee/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/2789647f0da3/gr18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/f9da1fa054cd/gr19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/d391d8344fb0/gr20.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/145dde8fe4f1/gr21.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/17a07e65ec5e/gr22.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/03c3bfc88f0c/gr23.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/92d56b4f8503/gr24.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/d06d7eea22c0/gr25.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/256338fdb3e4/gr26.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/08748623cafd/gr27.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/4c3b2e2359f8/gr28.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/522d6a439b10/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/02096b4b0508/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/8580251e0188/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/664810fe0c84/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/655ed1094069/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/a5e59f2e43c8/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/01f8aba58ac8/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/77c5d9a6e720/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/d13b0955d883/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/ef9b9f2acc5c/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/4d71d04ff3a9/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/a92ffa189f35/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/ffcae1efdfa8/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/01cba5b28117/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/d461393cc506/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/ed7fc68496ca/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/77dc2c7b6eee/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/2789647f0da3/gr18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/f9da1fa054cd/gr19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/d391d8344fb0/gr20.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/145dde8fe4f1/gr21.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/17a07e65ec5e/gr22.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/03c3bfc88f0c/gr23.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/92d56b4f8503/gr24.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/d06d7eea22c0/gr25.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/256338fdb3e4/gr26.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/08748623cafd/gr27.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff92/10025931/4c3b2e2359f8/gr28.jpg

相似文献

1
Past and current components-based detailing of particle image velocimetry: A comprehensive review.粒子图像测速技术基于组件的过去与当前详细阐述:全面综述。
Heliyon. 2023 Mar 11;9(3):e14404. doi: 10.1016/j.heliyon.2023.e14404. eCollection 2023 Mar.
2
Integrating particle image velocimetry and laser Doppler velocimetry measurements of the regurgitant flow field past mechanical heart valves.结合粒子图像测速技术和激光多普勒测速技术对经过人工心脏瓣膜的反流流场进行测量。
Artif Organs. 2001 Feb;25(2):136-45. doi: 10.1046/j.1525-1594.2001.025002136.x.
3
Meta-Lens Particle Image Velocimetry.元透镜粒子图像测速技术
Adv Mater. 2024 Apr;36(17):e2310134. doi: 10.1002/adma.202310134. Epub 2023 Dec 13.
4
Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques.使用流动成像技术同时测量湍流和粒子运动学
J Vis Exp. 2019 Mar 12(145). doi: 10.3791/58036.
5
Time-Resolved Particle Image Velocimetry Measurements with Wall Shear Stress and Uncertainty Quantification for the FDA Nozzle Model.用于FDA喷嘴模型的具有壁面剪应力和不确定性量化的时间分辨粒子图像测速测量
Cardiovasc Eng Technol. 2016 Mar;7(1):7-22. doi: 10.1007/s13239-015-0251-9. Epub 2015 Dec 1.
6
Experimental Assessment of Flow Fields Associated with Heart Valve Prostheses Using Particle Image Velocimetry (PIV): Recommendations for Best Practices.使用粒子图像测速技术(PIV)对心脏瓣膜假体相关流场的实验评估:最佳实践建议。
Cardiovasc Eng Technol. 2018 Sep;9(3):273-287. doi: 10.1007/s13239-018-0348-z. Epub 2018 Mar 12.
7
A Novel Plasma-Based Fluid for Particle Image Velocimetry (PIV): In-Vitro Feasibility Study of Flow Diverter Effects in Aneurysm Model.一种新型基于等离子体的粒子图像测速(PIV)流体:在动脉瘤模型中研究血流导向装置效果的体外可行性研究。
Ann Biomed Eng. 2018 Jun;46(6):841-848. doi: 10.1007/s10439-018-2002-1. Epub 2018 Feb 27.
8
4-D Echo-Particle Image Velocimetry in a Left Ventricular Phantom.左心室模型中的 4-D 超声粒子图像测速
Ultrasound Med Biol. 2020 Mar;46(3):805-817. doi: 10.1016/j.ultrasmedbio.2019.11.020. Epub 2020 Jan 8.
9
Experimental investigation of the steady flow downstream of the St. Jude bileaflet heart valve: a comparison between laser Doppler velocimetry and particle image velocimetry techniques.圣犹达双叶心脏瓣膜下游稳定流的实验研究:激光多普勒测速技术与粒子图像测速技术的比较
Ann Biomed Eng. 2000 Jan;28(1):39-47. doi: 10.1114/1.252.
10
Optimized Time-Resolved Echo Particle Image Velocimetry- Particle Tracking Velocimetry Measurements Elucidate Blood Flow in Patients With Left Ventricular Thrombus.优化的时间分辨回声粒子图像测速-粒子跟踪测速测量法阐明左心室血栓患者的血流情况。
J Biomech Eng. 2018 Apr 1;140(4). doi: 10.1115/1.4038886.

本文引用的文献

1
High-frame-rate contrast-enhanced ultrasound particle image velocimetry in patients with a stented superficial femoral artery: a feasibility study.高帧率对比增强超声粒子图像测速在股浅动脉支架置入患者中的可行性研究。
Eur Radiol Exp. 2022 Jul 6;6(1):32. doi: 10.1186/s41747-022-00278-w.
2
Flow field investigation of high solid anaerobic digestion by Particle Image Velocimetry (PIV).采用粒子图像测速法(PIV)对高固体厌氧消化的流场进行研究。
Sci Total Environ. 2018 Jun 1;626:592-602. doi: 10.1016/j.scitotenv.2018.01.111. Epub 2018 Feb 19.
3
Enhancement of measurement accuracy of X-ray PIV in comparison with the micro-PIV technique.
与微观粒子图像测速技术相比,X射线粒子图像测速技术测量精度的提高。
J Synchrotron Radiat. 2018 Mar 1;25(Pt 2):552-559. doi: 10.1107/S1600577517017398. Epub 2018 Feb 13.
4
Hemodynamic assessment of extra-cardiac tricuspid valves using particle image velocimetry.使用粒子图像测速技术对心外三尖瓣进行血流动力学评估。
Med Eng Phys. 2017 Dec;50:1-11. doi: 10.1016/j.medengphy.2017.08.003. Epub 2017 Nov 6.
5
Time-resolved X-ray PIV technique for diagnosing opaque biofluid flow with insufficient X-ray fluxes.时间分辨 X 射线 PIV 技术用于诊断 X 射线通量不足的不透明生物流体流动。
J Synchrotron Radiat. 2013 May;20(Pt 3):498-503. doi: 10.1107/S0909049513001933. Epub 2013 Mar 1.
6
Particle image velocimetry (PIV) study of rotating cylindrical filters for animal cell perfusion processes.旋转圆柱过滤器用于动物细胞灌注过程的粒子图像测速(PIV)研究。
Biotechnol Prog. 2012 Nov-Dec;28(6):1491-8. doi: 10.1002/btpr.1618. Epub 2012 Oct 18.
7
A novel method to investigate the relationship between facial movements and wrinkle formation using particle image velocimetry.一种利用粒子图像测速技术研究面部运动与皱纹形成之间关系的新方法。
Skin Res Technol. 2013 Feb;19(1):e54-9. doi: 10.1111/j.1600-0846.2011.00607.x. Epub 2011 Dec 18.
8
A simple, inexpensive system for digital particle image velocimetry (DPIV) in biomechanics.一种用于生物力学中数字粒子图像测速(DPIV)的简单、低成本系统。
J Exp Zool A Ecol Genet Physiol. 2012 Feb;317(2):127-40. doi: 10.1002/jez.725. Epub 2011 Nov 21.
9
Review of three-dimensional holographic imaging by multiple-viewpoint-projection based methods.基于多视点投影方法的三维全息成像综述。
Appl Opt. 2009 Dec 1;48(34):H120-36. doi: 10.1364/AO.48.00H120.
10
Computational fluid dynamics and digital particle image velocimetry study of the flow through an optimized micro-axial blood pump.通过优化的微型轴流血泵的流动的计算流体动力学和数字粒子图像测速研究。
Artif Organs. 2006 May;30(5):384-91. doi: 10.1111/j.1525-1594.2006.00230.x.