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Spray drop measurements using depth from defocus

Zhou, Wu ; Tropea, Cameron ; Chen, Benting ; Zhang, Yukun ; Luo, Xu ; Cai, Xiaoshu (2021)
Spray drop measurements using depth from defocus.
In: Measurement Science and Technology, 2020, 31 (7)
doi: 10.26083/tuprints-00019333
Article, Secondary publication, Publisher's Version

Abstract

Sprays are typically characterised by providing local drop size and velocity distributions and number density. The present work examines the possibility of obtaining such information using backlight photography, whereby two cameras are employed and the size and position of each imaged drop is obtained using a depth from defocus approach. A simple algorithm for estimating size and position from the two camera images is introduced and the sensitivity of this algorithm to various system parameters is investigated with simulations using synthetic images, measurements from a calibration facility, and measurements conducted in a sparse spray. Comparison measurements using the analysis of focused images are provided.

Item Type: Article
Erschienen: 2021
Creators: Zhou, Wu ; Tropea, Cameron ; Chen, Benting ; Zhang, Yukun ; Luo, Xu ; Cai, Xiaoshu
Type of entry: Secondary publication
Title: Spray drop measurements using depth from defocus
Language: English
Date: 2021
Year of primary publication: 2020
Publisher: IOP Publishing
Journal or Publication Title: Measurement Science and Technology
Volume of the journal: 31
Issue Number: 7
Collation: 10 Seiten
DOI: 10.26083/tuprints-00019333
URL / URN: https://tuprints.ulb.tu-darmstadt.de/19333
Corresponding Links:
Origin: Secondary publication via sponsored Golden Open Access
Abstract:

Sprays are typically characterised by providing local drop size and velocity distributions and number density. The present work examines the possibility of obtaining such information using backlight photography, whereby two cameras are employed and the size and position of each imaged drop is obtained using a depth from defocus approach. A simple algorithm for estimating size and position from the two camera images is introduced and the sensitivity of this algorithm to various system parameters is investigated with simulations using synthetic images, measurements from a calibration facility, and measurements conducted in a sparse spray. Comparison measurements using the analysis of focused images are provided.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-193333
Classification DDC: 600 Technology, medicine, applied sciences > 600 Technology
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Fluid Mechanics and Aerodynamics (SLA)
Date Deposited: 24 Aug 2021 07:13
Last Modified: 30 Aug 2021 06:46
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