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  5. Exploitation of continuum and kinetic theory approaches for the simulation of particle beam experiments

Exploitation of continuum and kinetic theory approaches for the simulation of particle beam experiments

Publication date
2026-02-28
Document type
Conference paper
Author
Peravali, Surya Kiran  
Samanta, Amit K.
Amin, Muhamed
Neumann, Philipp  
Küpper, Jochen
Breuer, Michael  
Organisational unit
Strömungsmechanik  
DOI
10.1007/978-3-032-00094-1_59
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/22348
Conference
33rd International Symposium on Rarefied Gas Dynamics (RGD33) ; Göttingen, Germany ; July 15–9, 2024
Project
DASHH Graduate School
Publisher
Springer Nature Switzerland
Book title
Rarefied gas dynamics : proceedings of the 33rd international symposium
ISBN
978-3-032-00094-1
First page
609
Last page
617
Peer-reviewed
✅
Part of the university bibliography
✅
Additional Information
Language
English
DDC Class
000 Informatik, Information & Wissen, allgemeine Werke
500 Naturwissenschaften
600 Technik
Keyword
DSMC
Nanoparticle injection
Continuum assumption
Transition regime
Rarefied flow
Single-particle imaging
Particle injection
Abstract
X-ray free-electron lasers (XFELs) promise to allow for atomically resolved imaging of isolated nanoparticles through single-particle diffractive imaging (SPI) [1]. Achieving this requires nanoparticle beams with controlled dimensions, typically generated using aerosol injectors operating under varying gas-flow conditions. Numerical simulations play a vital role in understanding and optimizing these injection systems. We present a multi-scale simulation framework that models gas dynamics across continuum-, transition-, and free-molecular-flow regimes as well as particle translation. Leveraging computational fluid dynamics (CFD), direct simulation Monte Carlo (DSMC), and corresponding hybrid methods, the framework provides a foundation for improving aerosol-injection techniques. It was validated against experiments over wide temperature (4–300 K) and size (10–300 nm) ranges.
Description
This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Version
Published version
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