Plitt model for hydrocyclone

Explain Plitt model for hydrocyclone.

The Plitt model for hydrocyclones, as detailed in the user's provided document, describes the relationship between hydrocyclone performance and geometric/operating parameters. Below is the explanation based on the referenced material:




Key Aspects of the Plitt Model

  1. Balancing Forces:

    • The classification in a hydrocyclone relies on the equilibrium between two opposing forces:
      • Centrifugal force: Moves particles outward toward the wall.
      • Hydrodynamic drag: Convects particles toward the axis.
    • The cut-size (d50d_{50}) corresponds to the particle size at which these two forces are balanced. This concept is discussed under the equilibrium orbit hypothesis in Section 4.5.5.
  2. Flow Split Parameter (SS):

    • The volumetric flow split (SS) influences the separation and is primarily a function of:
      • Spigot diameter (DuD_u)
      • Vortex finder diameter (DoD_o)
      • Cyclone diameter (DcD_c)
      • Feed solids volume fraction (ϕ\phi)
      • Distance between vortex finder and spigot (hh)
      • Slurry feed head (HH)
    • The empirical formula is: S=a(DuDo)b(DuDc)c(DoDc)d(2+h/Dc)fexp(gH)S = a \left(\frac{D_u}{D_o}\right)^b \left(\frac{D_u}{D_c}\right)^c \left(\frac{D_o}{D_c}\right)^d \left(2 + h/D_c\right)^f \exp(-gH) Recommended constants: a=3.79a = 3.79, b=3.31b = 3.31, c=0.36c = 0.36, d=0.54d = 0.54, f=1.11f = 1.11, g=0.24g = 0.24.
  3. Recoveries:

    • Recovery metrics:
      • RvR_v: Volumetric flow rate to underflow/feed volumetric flow rate.
      • RfR_f: Fluid recovery to underflow.
      • RsR_s: Solids recovery to underflow.
    • RsR_s is governed by particle-fluid interactions, described via Stokes' law.
  4. Efficiency of Separation:

    • Efficiency depends on RvR_v and cyclone size.
    • Empirical formula for selectivity index: ln(SI)=1.24exp(1.58RvϕH0.15Dc2)\ln(\text{SI}) = -1.24 \exp\left(1.58 \frac{R_v}{\phi H^{0.15}D_c^2}\right)
  5. Particle Size Distributions:

    • The overflow and underflow particle size distributions are characterized using cumulative distribution functions and exponential/logistic forms: po(i)=Fi(1C(dp))Fi(1C(dp))p_o(i) = \frac{F_i(1-C(d_p))}{\sum F_i(1-C(d_p))} pu(i)=FiC(dp)FiC(dp)p_u(i) = \frac{F_iC(d_p)}{\sum F_iC(d_p)}
  6. Sources of Variability:

    • Practical uncertainty primarily arises from estimating the flow split (SS).

Section 4.5.7 of R.P. King's "Modeling and Simulation of Mineral Processing Systems" (page numbers approximately 102-125). 

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