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
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Zhou_2020_Meas._Sci._Technol._31_075901.pdf Copyright Information: CC BY 4.0 International - Creative Commons, Attribution. Download (23MB) | Preview |
| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Spray drop measurements using depth from defocus |
| Language: | English |
| Date: | 24 August 2021 |
| Place of Publication: | Darmstadt |
| 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 |
| 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 > Fluid Mechanics and Aerodynamics (SLA) |
| Date Deposited: | 24 Aug 2021 07:13 |
| Last Modified: | 05 Dec 2024 16:20 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/19333 |
| PPN: | 484683314 |
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