Introduction & Context

Size-reduction equipment (mills, grinders, crushers) is first tested at laboratory scale to establish achievable throughput under controlled conditions. To predict the full-scale production throughput, engineers apply a geometric scale-up law that relates the mass flow rate to a characteristic linear dimension of the unit. The method is widely used in pharmaceutical, food, mineral, and chemical industries for budgetary quotes, motor sizing, and downstream line balancing.

Methodology & Formulas

  1. Characteristic dimension
    Let \(D_{\text{lab}}\) be the representative diameter of the laboratory unit and \(D_{\text{prod}}\) that of the production unit (both in metres).
  2. Scale factor
    The empirical scale factor \(SF\) is defined by \[ SF = \left( \frac{D_{\text{prod}}}{D_{\text{lab}}} \right)^{n} \] where the exponent \(n\) is obtained from pilot-plant regressions; typical values range from 1.5 to 2.5 for size-reduction devices.
  3. Throughput projection
    The expected production throughput \(Q_{\text{prod}}\) (kg h−1) is then \[ Q_{\text{prod}} = Q_{\text{lab}} \cdot SF \] with \(Q_{\text{lab}}\) the measured laboratory throughput.
Regime Scale Factor Range Interpretation / Action
Empirical \(1 \le SF \le 10\) Linear geometric scaling considered reliable.
Extrapolation \(SF > 10\) or \(D_{\text{prod}} > 3\,D_{\text{lab}}\) Non-linear effects (dead zones, classification efficiency) likely; pilot validation required.