首页|A temporally adaptive particle tracking velocimetry using continuous-wave illumination for fused event-and frame-based cameras
A temporally adaptive particle tracking velocimetry using continuous-wave illumination for fused event-and frame-based cameras
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NETL
NSTL
Springer Nature
This study introduces a temporally adaptive particle tracking velocimetry (PTV) technique through a novel hardware and data fusion strategy, integrating an event-based camera with a low-frequency (125 Hz) frame-based camera under continuous-wave (CW) illumination, which was named TA-E-PTV technique, enhancing the spatiotemporal resolution of particle velocity measurements. In this system, the tracer particles with different speeds are captured using different sampling rates by the temporally adaptive event-based camera, the low-frequency frame-based camera will provide offset correction for the event camera's particle center detection; then a super-time resolution TA-E-PTV strategy was developed by sliding the stacked image window during stacking images from event-based data after completing each process of spatially isometric particle tracking. The TA-E-PTV technique's effectiveness and accuracy were validated through experimental measurements of jet flows at Reynolds numbers of 4,400 at particle density of 0.0016 and 0.0063 particles per pixel (ppp), achieving temporally adaptive tracking across a frequency range of 25 to 1,000 Hz, coupled with high-spatiotemporal resolution. The time uncertainties were 72 us for 0.0016 ppp and 130 us for 0.0063 ppp, and the difference in mean speed is less than 6% when compared to the high-speed camera references. Additionally, the super-time-resolution TA-E-PTV strategy under the CW illumination has achieved a super-temporal resolution of 13.89 kHz for 0.0016 ppp and 7.69 kHz for 0.0063 ppp by controlling the time interval according to the read-out time delay. This low-cost, high-precision, and high-spatiotemporal resolution TA-E-PTV method is particularly suited for analyzing flows with large velocity gradients and holds significant potential for advancing experimental fluid mechanics.
Xin Zeng、Jiajun Cao、Zhen Lyu、Chuangxin He、Weiwei Cai、Yingzheng Liu
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Key Laboratory of Education Ministry for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China||Gas Turbine Research Institute, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
NETL
NSTL
Springer Nature
