首页> 外文会议>ASME turbo expo: turbine technical conference and exposition >ULTRA LEAN COMBUSTION CHARACTERIZATION IN A PILOT-SCALE GAS TURBINE BURNER USING IMAGE PROCESSING TECHNIQUES
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ULTRA LEAN COMBUSTION CHARACTERIZATION IN A PILOT-SCALE GAS TURBINE BURNER USING IMAGE PROCESSING TECHNIQUES

机译:图像处理技术在中小型燃气轮机燃烧器中的超薄燃烧特性

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The aim of the present investigation is the characterization of the behavior of a lean partially-premixed liquid fuel gas turbine near lean blowout limit. At this combustion regime the onset of instability will occur with negative impacts on combustion efficiency. The identification of the instability occurrence permits an efficient flame control adjusting the combustion parameters (as fuel or air mass flow, temperature, pressure, etc.) to stabilize the flame or designing opportunely flame control system. High-speed images of the flame under stable and near blowout condition were captured in conjunction with simultaneous optical data in order to better understand the phenomenology of the flame blowout process and the onset of instability. In particular the experimental characterization was performed through a High Speed Digital Camera, an Infrared camera and a Photomultiplier Tube (PMT) in association with the use of optical filter (OH*). The data collected with these instrumentations produce useful features for the development of an efficient tool for the flame control in industrial and aeronautical burners. The images acquired by the different cameras were processed considering the luminosity signal of each pixel and evaluating the frequency behavior, the variations of amplitude of the signals and some other descriptive parameters able to define the regime of the flame. Spectral analysis and Wavelet transform of pixel intensities of flame images were used and entropy and energy contents were evaluated. The spatial maps of the different spectral and statistical parameters were shown at different fuel/air equivalence ratio. The OH~* emissions data measured by the PMT were processed and compared with the data obtained from the images processing.
机译:本研究的目的是对稀薄的预混合的液体燃料燃气轮机在稀薄的喷射极限附近的性能进行表征。在这种燃烧状态下,不稳定的发生将对燃烧效率产生负面影响。不稳定性发生的识别允许有效的火焰控制来调节燃烧参数(如燃料或空气质量流量,温度,压力等),以稳定火焰或设计适当的火焰控制系统。为了更好地了解火焰吹灭过程的现象学和不稳定性的发生,结合了稳定的光学数据和同时的光学数据,捕获了火焰的高速图像。特别地,通过使用高速数码相机,红外相机和光电倍增管(PMT)结合使用光学滤镜(OH *)进行实验表征。这些仪器收集的数据为开发用于工业和航空燃烧器火焰控制的有效工具提供了有用的功能。考虑到每个像素的光度信号并评估频率特性,信号幅度的变化以及能够定义火焰状态的其他一些描述性参数,对通过不同相机获取的图像进行处理。使用火焰图像的像素强度的光谱分析和小波变换,并评估熵和能量含量。在不同的燃油/空气当量比下,显示了不同光谱和统计参数的空间图。处理由PMT测量的OH〜*排放数据,并将其与从图像处理中获得的数据进行比较。

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