科技报告详细信息
Uncertainty quantification of cinematic imaging for development of predictive simulations of turbulent combustion. | |
Lawson, Matthew ; Debusschere, Bert J. ; Najm, Habib N. ; Sargsyan, Khachik ; Frank, Jonathan H. | |
关键词: CALIBRATION; CAMERAS; COMBUSTION KINETICS; IMAGES; DATA COVARIANCES; TURBULENT FLOW; FLOW VISUALIZATION; LASERS; NOISE; MITIGATION; | |
DOI : 10.2172/1011617 RP-ID : SAND2010-8890 PID : OSTI ID: 1011617 Others : TRN: US201109%%672 |
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美国|英语 | |
来源: SciTech Connect | |
【 摘 要 】
Recent advances in high frame rate complementary metal-oxide-semiconductor (CMOS) cameras coupled with high repetition rate lasers have enabled laser-based imaging measurements of the temporal evolution of turbulent reacting flows. This measurement capability provides new opportunities for understanding the dynamics of turbulence-chemistry interactions, which is necessary for developing predictive simulations of turbulent combustion. However, quantitative imaging measurements using high frame rate CMOS cameras require careful characterization of the their noise, non-linear response, and variations in this response from pixel to pixel. We develop a noise model and calibration tools to mitigate these problems and to enable quantitative use of CMOS cameras. We have demonstrated proof of principle for image de-noising using both wavelet methods and Bayesian inference. The results offer new approaches for quantitative interpretation of imaging measurements from noisy data acquired with non-linear detectors. These approaches are potentially useful in many areas of scientific research that rely on quantitative imaging measurements.【 预 览 】
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RO201704240001279LZ | 5925KB | download |