Gas Dynamic Virtual Nozzles are used in Serial Femtosecond Crytallography for the study of protien, bacteria and Virus structures. The femtosecond X-ray pulses from X-ray Free-Electron Laser (XFEL) are used to collect the diffraction patterns of protein microcrystals to determine their molecula
Validation of Gas Dynamic Virtual Nozzles using CFD techniques
Gas Dynamic Virtual Nozzles are used in Serial Femtosecond Crytallography for the study of protien, bacteria and Virus structures. The femtosecond X-ray pulses from X-ray Free-Electron Laser (XFEL) are used to collect the diffraction patterns of protein microcrystals to determine their molecular structure. These samples are delivered into the X-ray interaction zone by Gas Dynamic Virtual Nozzles (Micro Nozzles). Our project is to validate computational fluid dynamics model for liquid micro jets. Such jets are produced by focusing hydrodynamic momentum from a co-flowing sheath of gas on a liquid stream in a nozzle. The computational model based on laminar two-phase, Newtonian, compressible Navier–Stokes equations is solved with finite volume method. A mixture model of the two-phase system is solved in axisymmetry using ~ 300,000 finite volumes. The numerical model will be evaluated by comparing jet diameters and jet lengths obtained experimentally and from computational analysis.
Our objectives are as Following:
Before the Computational part of our project we calculated different dimensionless and Geometerical parameters required, using the experimentally extracted data. Now we will perform the CFD analysis of GDVN. CFD of GDVN operation requires modeling of liquid and gas flow, surface tension forces on the interface, complex deforming topology at different scales, and inclusion of temperature and pressure-dependent material properties.Considering
the requirement to obtain a reliable contemporary solution of
the two-phase nozzle flow, compressible multiphase Open-
FOAM solver compressibleMultiphaseInterFoam will be used. The solver uses VOF to track the interface and FVM discretization with ability to efficiently handle both structured and unstructured meshes.
The desire of an engineer to work on sample delivery has always been of paramount proportions. It was the team’s mutual consent to work on a project that would prove fruitful as an efficient method to develop the images of the molecular structure of proteins and viruses to study them which was not possible using different microscopes and other sample delivery techniques. Sample delivery using minimum diameter in a long jet with velocity as fast as possible is desirable which will have great results and could become breakthroughs in Mechanical and Biomedical Engineering and also in Structural Biology. Scope of this project presented many limitations during our work on this project. These limitations were the level of knowledge base acquired at the undergraduate level as well as the timeframe given for the completion of the project. Gas Dynamic Virtual Nozzles (GDVN’s) dimensions are in microns and only a few companies such as Fineline imaging can produce them. They are expensive and you can’t obtain them and perform on them. The Serial Femtosecond Crystallography (SFX) based labs are limited and few countries have those labs including European XFEL located in Hamburg Germany and SLAC laboratory located in the USA.
An axisymmetric CFD model, describing the performance of a ceramic molded micro-injection GDVN will be developed, where the converging geometry and the free expanding focusing gas shapes and stabilizes the jet. The computational details and a mesh independence study of the model will be presented. Compressible model will be used where two different viscosity models (constant and Sutherland). The model will provide a complete dynamical insight (as a
function of geometry, material properties and operating
conditions) into pressure, temperature, velocity and phasefraction fields that cannot be observed experimentally. A comparison with the experimental data in terms of jet
diameter and length wil be performed for a single geometric
nozzle arrangement with varying operating parameters.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Computational Equipment | Equipment | 1 | 70000 | 70000 |
| Miscellaneous Cost | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 80000 |
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