Full metadata
Title
3D Printed Gas Dynamic Virtual Nozzles for X-Ray Laser Sample Deliveryand Optical Characterization of Microjets and Microdroplets
Description
Gas Dynamic Virtual Nozzles (GDVN) produce microscopic flow-focused liquid jets and are widely used for sample delivery in serial femtosecond crystallography (SFX) and time-resolved solution scattering. Recently, 2-photon polymerization (2PP) made it possible to produce 3D-printed GDVNs with submicron printing resolution. Comparing with hand- fabricated nozzles, reproducibility, and less developing effort, and similarity of the performance of different 3D printed nozzles are among the advantages of using 3D printing techniques to develop GDVN’s. Submicron printing resolution also makes it possible to easily improve GDVN performance by optimizing the design of nozzles. In this study, 3D printed nozzles were developed to achieve low liquid and gas flow rates and high liquid jet velocities. A double-pulsed nanosecond laser imaging system was used to perform Particle Tracking Velocimetry (PTV) in order to determine jet velocities and assess jet stability/reproducibility. The testing results of pure water jets focused with He sheath gas showed that some designs can easily achieve stable liquid jets with velocities of more than 80 m/s, with pure water flowing at 3 microliters/min, and helium sheath gas flowing at less than 5 mg/min respectively. A numerical simulation pipeline was also used to characterize the performance of different 3D printed GDVNs. The results highlight the potential of making reproducible GDVNs with minimum fabrication effort, that can meet the requirements of present and future SFX and time-resolved solution scattering research.
Date Created
2020
Contributors
- Nazari, Reza (Author)
- Adrian, Ronald (Thesis advisor)
- Kirian, Richard (Thesis advisor)
- Herrmann, Marcus (Committee member)
- Phelan, Patrick (Committee member)
- Weierstall, Uwe (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
182 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.63077
Level of coding
minimal
Note
Doctoral Dissertation Mechanical Engineering 2020
System Created
- 2021-01-14 09:27:15
System Modified
- 2021-08-26 09:47:01
- 3 years 2 months ago
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