In this paper, we determine the bubble size and velocity from air bubble generation (MBG) in a diesel using optical methods. A KTM Series Pump was used to generate micro air bubbles in diesel. The air bubble radius and velocity measurements can be useful parameters to optimize the bubble generation process. Two optical systems were used for measurement air bubble sizes and their velocities in diesel. First, the optical system without an objective lens was used to determine the velocity of air bubbles in diesel. Another optical system with a 10× objective lens was used to obtain the size distribution of air bubbles generated in diesel. An available optical system with a 10× objective lens can detect a bubble diameter greater than 3.3 µm that air bubble images were processed using the ImageJ program. We measured the size distribution of air bubbles generated using the ImageJ program. The micro air bubble radius measured in diesel was found to be 6.26 µm in the sample after a month from air bubble generation. In addition, the particle image velocimetry (PIV) technique was used to measure the velocity field. Then, we used the OpenPIV program for PIV image processing. The highest velocity distribution was determined to be 90 mm/s for diesel without air bubbles and 20 mm/s for diesel with air bubbles after a month of the bubble generation.

在本文中，我们使用光学方法确定柴油中气泡产生 (MBG) 的气泡大小和速度。 KTM 系列泵用于在柴油中产生微气泡。气泡半径和速度测量可以作为优化气泡生成过程的有用参数。使用两个光学系统来测量柴油中的气泡尺寸及其速度。首先，使用不带物镜的光学系统来确定柴油中气泡的速度。使用另一个带有 10 倍物镜的光学系统来获得柴油中产生的气泡的尺寸分布。带有 10 倍物镜的可用光学系统可以检测到使用 ImageJ 程序处理的气泡图像大于 3.3 µm 的气泡。我们使用 ImageJ 程序测量了生成的气泡的尺寸分布。气泡产生一个月后，在柴油中测量的微气泡半径为 6.26 µm。此外，采用粒子图像测速（PIV）技术来测量速度场。然后，我们使用OpenPIV程序进行PIV图像处理。气泡产生一个月后，没有气泡的柴油的最高速度分布确定为90毫米/秒，有气泡的柴油的最高速度分布为20毫米/秒。