Phase Doppler Anemometer – The Shift from Simulation to the Real World
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU146767" target="_blank" >RIV/00216305:26210/22:PU146767 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Phase Doppler Anemometer – The Shift from Simulation to the Real World
Popis výsledku v původním jazyce
A Monte Carlo type simulation program has been developed to model phase Doppler systems [1]. The work was divided into four main sections, the development of a launch strategy of a known range of droplet sizes and trajectories, the determination of the scattered light fields using Mie theory [2], the generation of the photomultiplier signals, and then their processing to generate drop size estimates followed by the comparison of these data with the launched data. The signal processing portion of the simulation measured the Doppler frequency in each signal to estimate the droplet velocity. Rather than using measurements of the phase differences between the multiple Doppler-shifted signals, the time shift between the arrival times of each signal was used to estimate the dropsize. This provided a linear relationship between the dropsize and the signal time shift. The missing link in the simulation is the ability to guide the experimentalist as to the best way to acquire the signal bursts and determine ho
Název v anglickém jazyce
Phase Doppler Anemometer – The Shift from Simulation to the Real World
Popis výsledku anglicky
A Monte Carlo type simulation program has been developed to model phase Doppler systems [1]. The work was divided into four main sections, the development of a launch strategy of a known range of droplet sizes and trajectories, the determination of the scattered light fields using Mie theory [2], the generation of the photomultiplier signals, and then their processing to generate drop size estimates followed by the comparison of these data with the launched data. The signal processing portion of the simulation measured the Doppler frequency in each signal to estimate the droplet velocity. Rather than using measurements of the phase differences between the multiple Doppler-shifted signals, the time shift between the arrival times of each signal was used to estimate the dropsize. This provided a linear relationship between the dropsize and the signal time shift. The missing link in the simulation is the ability to guide the experimentalist as to the best way to acquire the signal bursts and determine ho
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
20302 - Applied mechanics
Návaznosti výsledku
Projekt
<a href="/cs/project/LTAIN19044" target="_blank" >LTAIN19044: Vývoj energeticky úsporného dvoumédiového atomizéru pro účinné odstraňování CO2 a NOx z produktů spalování</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů