Introduction & Context

Reactive crystallization is a process where chemical reaction and crystallization occur simultaneously, enabling precise control over particle size distribution (PSD), morphology, and polymorphism. This calculation sheet focuses on the design of a reactive crystallization system for calcium carbonate (CaCO3), a model system for studying precipitation kinetics, mixing effects, and particle engineering.

In Process Engineering, reactive crystallization is critical for:

  • Producing high-purity, uniform particles (e.g., pharmaceuticals, pigments, catalysts).
  • Controlling supersaturation to avoid fouling or agglomeration.
  • Optimizing energy input (mixing) to balance nucleation and growth.
Typical applications include:
  • Carbon capture (CO2 mineralization via CaCO3).
  • Pharmaceutical active ingredient (API) synthesis.
  • Specialty chemical manufacturing (e.g., nanoscale precipitates).

Methodology & Formulas

1. Temperature Conversion

Convert the process temperature from Celsius (\(T_C\)) to Kelvin (\(T_K\)): \[ T_K = T_C + 273.15 \]

2. Reaction Kinetics (Arrhenius Law)

The temperature-dependent reaction rate constant (\(k\)) is calculated using the Arrhenius equation: \[ k = k_{ref} \cdot \exp \left( -\frac{E_a}{R_g} \left( \frac{1}{T_K} - \frac{1}{T_{ref}} \right) \right) \] where:

  • \(k_{ref}\): Rate constant at reference temperature \(T_{ref}\).
  • \(E_a\): Activation energy (J/mol).
  • \(R_g\): Universal gas constant (8.314 J/mol·K).

The reaction rate (\(r\)) for a bimolecular reaction (e.g., Ca(OH)2 + CO2 → CaCO3 + H2O) is given by: \[ r = k \cdot C_A^{\alpha} \cdot C_B^{\beta} \] where:

  • \(C_A, C_B\): Concentrations of reactants A and B (mol/m³).
  • \(\alpha, \beta\): Reaction orders for A and B.

3. Mixing Characterization

The Damköhler number (Da) quantifies the competition between reaction and mixing timescales: \[ Da = r \cdot \tau_{mix} \] where \(\tau_{mix}\) is the mixing time (s), estimated from turbulent energy dissipation (\(\epsilon\)) and velocity fluctuations (\(u'\)): \[ \tau_{mix} = \frac{\epsilon^{1/3}}{u'^2} \]

The Reynolds number (Re) validates turbulent flow conditions: \[ Re = \frac{\rho \cdot u' \cdot L}{\mu} \] where:

  • \(\rho\): Fluid density (kg/m³).
  • \(\mu\): Dynamic viscosity (Pa·s).
  • \(L\): Characteristic length (m).

4. Supersaturation and Particle Size Control

Supersaturation (\(S\)) drives nucleation and growth. An empirical correlation links \(S\) to the target particle size (\(d_p\)): \[ d_p \propto S^{-2} \] Rearranged to estimate the actual supersaturation (\(S_{actual}\)) for a given \(d_p\): \[ S_{actual} = S_{target} \cdot \left( \frac{d_p}{d_{p,target}} \right)^{-1/2} \]

5. Regime Criteria and Validity Checks

Parameter Symbol Recommended Range Regime Implications
Damköhler Number \(Da\) \(10^{-6} < Da < 1\)
  • \(Da \gg 1\): Reaction-limited (mixing is fast).
  • \(Da \ll 1\): Mixing-limited (reaction is fast).
Supersaturation Ratio \(S\) \(1.1 < S < 2.0\)
  • \(S < 1.1\): Low nucleation; risk of slow growth.
  • \(S > 2.0\): High nucleation; risk of fines/agglomeration.
Turbulent Energy Dissipation \(\epsilon\) \(0.1 < \epsilon < 10\) W/kg
  • \(\epsilon < 0.1\): Poor mixing; inhomogeneous supersaturation.
  • \(\epsilon > 10\): Excessive energy; potential particle breakage.
Reynolds Number \(Re\) \(Re > 10,000\)
  • \(Re < 10,000\): Laminar flow; turbulent correlations invalid.
Particle Size \(d_p\) \(1 < d_p < 100\) μm
  • \(d_p < 1\) μm: Colloidal range; filtration challenges.
  • \(d_p > 100\) μm: Settling risk; suspension instability.