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Applications of image processing in combustion research.

机译:图像处理在燃烧研究中的应用。

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摘要

Digital image processing has wide ranging applications in combustion research. The analysis of digital images is used in practically every scale of studying combustion phenomena from the scale of individual atoms to diagnosing and controlling large-scale combustors. Digital image processing is one of the fastest-growing scientific areas in the world today. From being able to reconstruct low-resolution grayscale images from transmitted signals, the capabilities have grown to enabling machines carrying out tasks that would normally require human vision, perception, and reasoning. Certain applications in combustion science benefit greatly from recent advances in image processing. Unfortunately, since the two fields, combustion and image processing research, stand relatively far from each other, the most recent results are often not known well enough in the areas where they may be applied with great benefits. This work aims to improve the accuracy and reliability of certain measurements in combustion science by selecting, adapting, and implementing the appropriate techniques originally developed in the image processing area. A number of specific applications were chosen that cover a wide range of physical scales of combustion phenomena, and specific image processing methodologies were proposed to improve or enable measurements in studying such phenomena. The selected applications include the description and quantification of combustion-derived carbon nanostructure, the three-dimensional optical diagnostics of combusting pulverized-coal particles and the optical flow velocimetry and quantitative radiation imaging of a pilot-scale oxy-coal flame. In the field of the structural analysis of soot, new structural parameters were derived and the extraction and fidelity of existing ones were improved. In the field of pulverized-coal combustion, the developed methodologies allow for studying the detailed mechanisms of particle combustion in three dimensions. At larger scales, the simultaneous measurement of flame velocity, spectral radiation, and pyrometric properties were realized.
机译:数字图像处理在燃烧研究中具有广泛的应用。从单个原子的规模到大型燃烧器的诊断和控制,燃烧现象的几乎所有规模都用于数字图像分析。数字图像处理是当今世界上发展最快的科学领域之一。从能够从传输的信号重建低分辨率的灰度图像开始,该功能已发展为使机器能够执行通常需要人类视觉,感知和推理的任务。燃烧科学中的某些应用受益于图像处理的最新进展。不幸的是,由于燃烧和图像处理这两个领域相距较远,因此在可能会产生巨大益处的领域中,人们对最新成果的了解往往不够。这项工作旨在通过选择,改编和实施最初在图像处理领域开发的适当技术来提高燃烧科学中某些测量的准确性和可靠性。选择了许多特定的应用程序,这些应用程序涵盖了广泛的燃烧现象的物理尺度,并且提出了特定的图像处理方法来改善或实现对此类现象的研究测量。选定的应用包括燃烧衍生的碳纳米结构的描述和量化,煤粉颗粒燃烧的三维光学诊断,中试规模的煤煤火焰的光速测速和定量辐射成像。在烟灰的结构分析领域,推导了新的结构参数,并改善了现有参数的提取和保真度。在煤粉燃烧领域,所开发的方法可以研究三维颗粒燃烧的详细机理。在更大的规模上,可以同时测量火焰速度,光谱辐射和高温特性。

著录项

  • 作者

    Toth, Pal.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Engineering Chemical.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 167 p.
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:59

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