Evolution of titanium particle combustion in potassium perchlorate and air

Marsh, Andrew W.; Zheng, Andy X.; Wang, Gwendolyn T.; Hobbs, Michael L.; Kearney, Sean P.; Mazumdar, Yi Chen

doi:10.1016/j.combustflame.2023.112787

Cited by 6 publications

(2 citation statements)

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“…An alternative hardware approach is the implementation of a polarized pixel array within the camera sensor. 3,[9][10][11][12][13][14][15][16] The image field is divided into 2 × 2 subpixel arrays with polarizers at 0, 45, 90, and 135 deg alignment orientations. This method is beneficial as it eliminates the need to rotate the QWP so that all the optical components are stationary.…”

Section: Introductionmentioning

confidence: 99%

“…More critically, the acquisition rate also becomes the frame rate of the camera since only a single frame is needed for the calculation of the birefringent properties of the specimen. Using a commercially available high-speed polarization camera (Photron, CRYSTA PI-1P), the acquisition rates in studies by Marsh et al 9 and Wu et al 15 reached up to 7 kHz at full resolution of 1024 × 1024 pixels; however, higher acquisition rates up to 1.55 MHz at reduced resolution can be achieved. Onuma and Otani 3 were able to achieve acquisition rates up to 1.3 MHz at a 32 × 4-pixel resolution.…”

Section: Introductionmentioning

confidence: 99%

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Accelerating imaging frequency in high-speed polarization imaging through data modeling

Timofeeva,

Ul Shougat,

Pankow

et al. 2024

Opt. Eng.

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We develop a new processing algorithm for the analysis of high-speed quantitative polarized light microscopy measurements. The measurements are obtained using a high-speed rotating polarizing component and a camera, collecting images at several polarizer angles per rotation. The technique uses data from less than the full quarter-waveplate rotation and then performs an optimal fit of the measured data to the expected response curves. Thus, it allows to increase the effective frame rate of the alignment angle and retardation maps due to the reduction in required images. Due to the complexity of the intensity response curves, a particle swarm optimization method is applied. The algorithm addresses the motion error in high-speed polarization imaging while still using multiple polarization angles for the reconstruction. We apply the algorithm to two example cases: quasi-static loading of a tensile coupon and quality inspection of a polymer fiber during rapid motion. The results demonstrate that increasing the reconstructions per second (i.e., decreasing the number of polarization angles per reconstruction) does not significantly decrease the quality of the reconstructions until ∼2.5 times the increase in reconstructions per second is achieved. Therefore, the developed algorithm is an effective method to increase the effective polarization imaging rate without complex hardware modifications.

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