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FAST METHODS TO ANALYZE HIGH-SPEED IMAGES OF HCCI AND SPARK-ASSISTED HCCI IGNITION EVENTS

机译:快速分析HCCI和火花辅助HCCI点火事件的高速图像的方法

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This study presents two new methods to rapidly analyze the ignition and combustion events recorded during in-cylinder high-speed imaging of homogeneous charge compression ignition [HCCI] and spark-assisted (SA) HCCI engine operation. Two categories of ignition have been observed during HCCI and SA HCCI: auto-ignition of parcels of fuel/air and ignition and propagation of reaction fronts. In this work, two methods of image analysis are developed which accommodate differences in the ignition and propagation events for the two categories. The methods are described by application to high speed imaging data acquired from an optically accessible engine operated in HCCI and SA HCCI modes using indolene fuel. Using method I, the projected area of reaction is identified in each frame, and a circle with a characteristic radius that yields the equivalent area is defined. The rate of area expansion is used to define the speed of reaction. Using method II, an edge-finding algorithm is used to identify the location of well-defined reaction fronts. The maximum dimensions of the reaction front in an x-y coordinate frame are measured. The projected area based onthe average of these maximum dimensions is then determined. The change in the characteristic radius of the projected area is defined as the average propagation speed for the reaction front. The two analytical methods are applied to typical HCCI and SA HCCI image sequences. Outcomes of the image analysis indicate propagation speeds are typically between 2-5 m/s prior to volumetric ignition. Volumetric ignition is identified by propagation speeds greater than 20 m/s. The imaging data also identify times when reaction quenching occurred after spark ignition as times when negative propagation speeds are observed. When applied to the same imaging sequence, the two methods yield consistent results for propagation speeds; however, the method based on edge-finding exhibits larger variance
机译:这项研究提出了两种新方法,可以快速分析均质充量压缩点火[HCCI]和火花辅助(SA)HCCI发动机的缸内高速成像期间记录的点火和燃烧事件。在HCCI和SA HCCI期间观察到两类点火:燃料/空气包裹的自动点火以及反应前沿的点火和传播。在这项工作中,开发了两种图像分析方法,可以适应两种类别的着火和传播事件的差异。该方法通过应用于从使用吲哚燃料以HCCI和SA HCCI模式运行的光学可访问引擎获取的高速成像数据来描述。使用方法I,可以在每帧中识别反应的投影区域,并定义一个具有特征半径的圆,该半径可以产生相等的面积。面积膨胀率用于定义反应速度。使用方法II,使用边缘查找算法来识别明确定义的反应前沿的位置。测量在x-y坐标系中反应前沿的最大尺寸。然后根据这些最大尺寸的平均值确定投影面积。投影区域的特征半径的变化定义为反应前沿的平均传播速度。这两种分析方法适用于典型的HCCI和SA HCCI图像序列。图像分析的结果表明,在体积点火之前,传播速度通常在2-5 m / s之间。通过大于20 m / s的传播速度来识别体积点火。成像数据还将火花点火后发生反应淬火的时间识别为观察到负传播速度的时间。当应用于相同的成像序列时,两种方法在传播速度上产生一致的结果。但是,基于边缘查找的方法存在较大的方差

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