Enhancing Thermal and Fluid Sciences Undergraduate Laboratory Through the Introduction of Optical Diagnostic/ Image Processing Techniques

通过引入光学诊断/图像处理技术增强热学和流体科学本科实验室

基本信息

  • 批准号:
    9750785
  • 负责人:
  • 金额:
    $ 3.46万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    1997
  • 资助国家:
    美国
  • 起止时间:
    1997-09-01 至 1999-08-31
  • 项目状态:
    已结题

项目摘要

This project integrates innovative optical/digital diagnostic techniques, including particle image velocimetry (PIV) into the current senior-level Thermal and Fluid Sciences laboratory course. The inclusion of PIV and other image processing techniques introduces students to state-of-the-art optical/image processing technology and enhances students' understanding of fundamental flow physics through hands-on laboratory experience. The PIV technique not only provides a global visualization of the entire flow field, it also allows the flow data to be evaluated quantitatively and compared directly with the results predicted by relevant theories or principles. Three experiments are specifically designed to take advantage of the unique capabilities of PIV and strengthen the curriculum. Detailed laboratory manuals can be prepared and made available through the Intemet. Additionally, the PIV image processing system provides real-time image acquisition and analysis to complement other traditional flow visualization methods such as smoke-wire, shadowgraph, and schlieren techniques. Integration of modern optical/digital image processing techniques into this class increases students' interest by allowing them to visualize concepts that are otherwise difficult to grasp. These courses showcase PIV demonstration experiments, both in the laboratory and through the use of full motion MPEG video format, to provide students with a better understanding of the lecture material. *
该项目将创新的光学/数字诊断技术,包括粒子图像测速(PIV)集成到当前的高级热与流体科学实验课程中。PIV和其他图像处理技术向学生介绍了最先进的光学/图像处理技术,并通过动手实验经验增强了学生对基本流物理的理解。PIV技术不仅提供了整个流场的全局可视化,而且可以对流动数据进行定量评估,并直接与相关理论或原理预测的结果进行比较。三个实验是专门设计的,以利用PIV的独特能力,加强课程。可以编写详细的实验室手册,并通过互联网提供。此外,PIV图像处理系统提供实时图像采集和分析,以补充其他传统的流可视化方法,如烟雾线、阴影图和纹影技术。将现代光学/数字图像处理技术整合到本课程中,使学生能够将难以掌握的概念可视化,从而提高学生的兴趣。这些课程展示了PIV演示实验,包括在实验室和通过使用全运动MPEG视频格式,以提供学生更好地理解讲课材料。*

项目成果

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Chiang Shih其他文献

Chiang Shih的其他文献

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{{ truncateString('Chiang Shih', 18)}}的其他基金

REU Site: Multi-physics of Active Systems and Structures II
REU 站点:主动系统和结构的多物理场 II
  • 批准号:
    1560337
  • 财政年份:
    2016
  • 资助金额:
    $ 3.46万
  • 项目类别:
    Standard Grant
Research Experiences for Undergraduate Site: Multi-physics of Active Systems and Structures
本科生站点研究经历:主动系统与结构的多物理场
  • 批准号:
    1062936
  • 财政年份:
    2011
  • 资助金额:
    $ 3.46万
  • 项目类别:
    Continuing Grant
Development of Visualization-Enhanced Laboratory and Courseware for the Integrated Dynamic Systems Courses
集成动态系统课程可视化增强实验室和课件开发
  • 批准号:
    9980775
  • 财政年份:
    2000
  • 资助金额:
    $ 3.46万
  • 项目类别:
    Standard Grant

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