Abstract
A computational fluid dynamic (CFD) model of the cold gas dynamic spray process is presented. The gas dynamic flow field and particle trajectories within an oval-shaped supersonic nozzle as well as in the immediate surroundings of the nozzle exit, before and after the impact with the target plane, are simulated. Predicted nozzle wall pressure values compare well with experimental data. In addition, predicted particle velocity results at the nozzle exit are in qualitative agreement with those obtained using a side-scatter laser Doppler anemometer (LDA). Details of the pattern of the particle release into the surroundings are visualized in a convenient manner.
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Abbreviations
- C D :
-
drag coefficient
- d :
-
diameter
- e :
-
coefficient of restitution
- h :
-
convective heat transfer coefficient
- l :
-
standoff distance
- M:
-
Mach number
- M :
-
rotational mechanical impulse
- Nu:
-
Nusselt number
- p :
-
pressure
- P :
-
linear mechanical impulse
- Re:
-
Reynolds number
- t :
-
Maximum nozzle thickness
- T :
-
temperature
- w :
-
domain semiwidth
- y :
-
target center to boundary clearance
- z :
-
distance from nozzle throat along nozzle axis
- θ:
-
angle between nozzle axis and target normal
- *:
-
nozzle throat
- e:
-
nozzle exit
- f:
-
particle feed
- n:
-
normal component of vector
- o:
-
stagnation
- p:
-
particle
- t:
-
tangential component of vector
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This article was originally published inBuilding on 100 Years of Success, Proceedings of the 2006 International Thermal Spray Conference (Seattle, WA), May 15–18, 2006, B.R. Marple, M.M. Hyland, Y.-Ch. Lau, R.S. Lima, and J. Voyer, Ed., ASM International, Materials Park, OH, 2006.
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Karimi, M., Fartaj, A., Rankin, G. et al. Numerical simulation of the cold gas dynamic spray process. J Therm Spray Tech 15, 518–523 (2006). https://doi.org/10.1361/105996306X146866
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DOI: https://doi.org/10.1361/105996306X146866