Abstract
As the industrial application of the cold spray technology grows, the need to optimize both the cost and the quality of the process grows with it. Parameter selection techniques available today require the use of a coupled system of equations to be solved to involve the losses due to particle loading in the gas stream. Such analyses cause a significant increase in the computational time in comparison with calculations with isentropic flow assumptions. In cold spray operations, engineers and operators may, therefore, neglect the effects of particle loading to simplify the multiparameter optimization process. In this study, two-way coupled (particle–fluid) quasi-one-dimensional fluid dynamics simulations are used to test the particle loading effects under many potential cold spray scenarios. Output of the simulations is statistically analyzed to build regression models that estimate the changes in particle impact velocity and temperature due to particle loading. This approach eases particle loading optimization for more complete analysis on deposition cost and time. The model was validated both numerically and experimentally. Further numerical analyses were completed to test the particle loading capacity and limitations of a nozzle with a commonly used throat size. Additional experimentation helped document the physical limitations to high-rate deposition.
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Notes
Particle loading is the ratio of the mass flow rate of particles to the mass flow rate of gas in the cold spray nozzle multiphase flow.
Abbreviations
- \(A\) (m2):
-
Cross-sectional area of flow
- \(A^{*}\) (m2):
-
Flow cross-sectional area at nozzle throat
- \(C\) :
-
Fitting constant
- \(c_{{{\text{p}}_{\text{p}} }}\) [J/(kg °K)]:
-
Particle heat capacity
- \(d_{\text{e}}\) (m):
-
Nozzle exit diameter
- \(d_{ \hbox{min} }\) (μm):
-
Minimum particle diameter
- \(d_{ \hbox{max} }\) (μm):
-
Maximum particle diameter
- \(\overline{d}_{\text{freq}}\) :
-
Frequency-based size distribution parameter
- \(\overline{d}_{\text{vol}}\) :
-
Frequency-based size distribution parameter
- \({\text{DE}}\) (%):
-
Deposition efficiency
- \(d_{\text{p}}\) (m):
-
Particle diameter
- \(e\) (J/kg):
-
Internal energy
- \(\eta\) :
-
Ratio of impact velocity to critical velocity
- \({\text{ER}}\) :
-
Expansion ratio
- \(f_{\text{CD}}\) :
-
Log-normal cumulative distribution function
- \(F_{\text{D}}\) (N):
-
Particle drag force
- \(F_{\text{p}}\) (N):
-
Total particle drag force
- \(\gamma\) :
-
Specific heat ratio
- \(h_{\text{p}}\) [W/(m2 °K)]:
-
Heat transfer coefficient
- \(k_{\text{g}}\) [W/(m2 °K)]:
-
Gas thermal conductivity
- \(k_{\text{p}}\) [W/(m2 °K)]:
-
Particle thermal conductivity
- \(L_{\text{ex}}\) (m):
-
Expansion region length
- \(L_{\text{shock}}\) (m):
-
Shock location from the substrate
- \({\text{Ma}}\) :
-
Mach number
- \({\text{Ma}}_{\text{e}}\) :
-
Mach number at nozzle exit
- \({\text{Ma}}_{\text{s}}\) :
-
Mach number downstream of shock
- \({\text{MMD}}\) (m):
-
Mass mean diameter
- \(m_{\text{p}}\) (kg):
-
Particle mass
- \(\dot{m}_{\text{g}}\) (kg/s):
-
Gas flow rate
- \(\dot{m}_{\text{p}}\) [kg/(m s)]:
-
Particle flow rate
- \(\mu\) (kg/s):
-
Gas viscosity
- \(N_{\text{p}}\) :
-
Number of particles
- \(Nu\) :
-
Nusselt number
- \(\omega\) (%):
-
Particle loading rate \((100 \times \dot{m}_{\text{p}} /\dot{m}_{\text{g}} )\)
- \(\omega_{\text{c}}\) (%):
-
Corrected particle loading rate
- \(\dot{Q}_{p}\) (W):
-
Particle heat transfer rate
- \(P_{\text{g}}\) (Pa):
-
Gas pressure
- \(Pr\) :
-
Prandtl number
- \(P_{0}\) (Pa):
-
Total gas pressure
- \(R\) [J/(kg °K)]:
-
Specific gas constant
- \(\rho_{\text{g}}\) (kg/m3):
-
Gas density
- \(\rho_{\text{p}}\) (kg/m3):
-
Particle density
- \({\text{SoD}}\) (m):
-
Standoff distance
- \(\sigma_{\text{ult}}\) (Pa):
-
Particle ultimate tensile strength
- \(\overline{\sigma }_{\text{freq}}\) :
-
Frequency-based size distribution fitting constant
- \(\overline{\sigma }_{\text{vol}}\) :
-
Volume-based size distribution fitting constant
- \(u_{\text{c}}\) (m/s):
-
Critical velocity
- \(u_{\text{e}}\) (m/s):
-
Erosion velocity
- \(u_{\text{g}}\) (m/s):
-
Gas velocity
- \(u_{\text{p}}\) (m/s):
-
Particle velocity
- \(u_{\text{pi}}\) (m/s):
-
Particle impact velocity
- \(u_{{{\text{p}}_{\text{ave}} }}\) (m/s):
-
Size-weighted average particle velocity
- \(T_{0}\) (°K):
-
Total gas pressure
- \(T_{\text{g}}\) (°K):
-
Gas temperature
- \(T_{\text{p}}\) (°K):
-
Particle temperature
- \(T_{\text{pi}}\) (°K):
-
Particle impact temperature
- \(T_{\text{r}}\) (°K):
-
Particle room temperature
- t (s):
-
Time
- x (m):
-
Axial distance
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Acknowledgments
This work was supported by the U.S. Army Research Laboratory under the Contract Nos. W911NF-15-2-0034 and W15QKN-16-C-0094. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. Government.
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Ozdemir, O.C., Widener, C.A., Carter, M.J. et al. Predicting the Effects of Powder Feeding Rates on Particle Impact Conditions and Cold Spray Deposited Coatings. J Therm Spray Tech 26, 1598–1615 (2017). https://doi.org/10.1007/s11666-017-0611-0
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DOI: https://doi.org/10.1007/s11666-017-0611-0