Reconstruction and analysis of exploding wire particle trajectories via automatic calibration of stereo images

Szott, Matthew; Wang, Zhehui; Ruzic, David N.

doi:10.1063/1.5039373

Title: Reconstruction and analysis of exploding wire particle trajectories via automatic calibration of stereo images

Journal Article · Wed Oct 24 00:00:00 EDT 2018 · Review of Scientific Instruments

DOI:https://doi.org/10.1063/1.5039373· OSTI ID:1565813

Szott, Matthew ^[1];

^[2]; Ruzic, David N. ^[1]

Univ. of Illinois at Urbana–Champaign, Urbana, IL (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Quantitative understanding of the physics of dust or granular matter transport significantly impacts several aspects of burning plasma science and technology. Here, this work takes machine vision techniques popular in robotics and self-driving cars and applies them to identification and analysis of microparticles generated from exploding wires. Using only the image frames and knowledge of the intrinsic properties of the cameras, a Python code was written to identify the particles, automatically calibrate the relative image positions, and extract trajectory data. After identifying approximately 50 particles based on the timing of secondary particle explosions, the eight point and random sample consensus algorithms were used to determine the geometric correlation between the cameras. Over 100 particle matches were found between the two camera views. These correlated trajectories were used in subsequent 3D track reconstruction and analysis of the physics behind the particle motion. The 3D reconstruction resulted in accurate positioning of the particles with respect to the experimental setup. The particle motion was consistent with the effects of a 1 g gravitational field modified by drag forces. Lastly, the methods and analyses presented here can be used in many facets of high temperature plasma diagnostics.

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Research Organization:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE Office of Science (SC). Fusion Energy Sciences (FES) (SC-24)

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 1565813

Report Number(s):: LA-UR-19-29177; TRN: US2000902

Journal Information:: Review of Scientific Instruments, Vol. 89, Issue 10; ISSN 0034-6748

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 2 works

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