Difficulty: Easy
Correct Answer: Dispersion model
Explanation:
Introduction / Context:
Real chemical and biochemical reactors rarely behave as perfect plug flow reactors (PFRs). Small-scale backmixing along the flow direction—called axial mixing—causes dispersion of solute concentration profiles and broadens residence-time distributions (RTDs). The standard way to quantify this non-ideality is the dispersion model, which adds a Fickian-like axial dispersion term to the convective material balance.
Given Data / Assumptions:
Concept / Approach:
The dispersion model assumes that deviations from plug flow arise from an effective axial dispersion coefficient, D_ax, analogous to molecular diffusion but representing hydrodynamic mixing. The governing species balance combines convection and dispersion with reaction if present.
Step-by-Step Solution:
Write axial species balance for a tracer: v * dC/dx = D_ax * d^2C/dx^2 − r(C).Recognize that D_ax captures backmixing; when D_ax → 0, the model reduces to ideal PFR.Relate to RTD: the dimensionless group Pe = v * L / D_ax (Péclet number) measures approach to plug flow (Pe → ∞).Conclude that the proper framework for axial mixing is the dispersion model.
Verification / Alternative check:
Tracer tests (e.g., pulse input) yield outlet curves that are fit using the dispersion model to estimate D_ax or Pe. Good agreement across flow rates supports the model for many laminar-to-turbulent transitional regimes in packed beds and empty tubes with mild mixing.
Why Other Options Are Wrong:
Langmuir model describes adsorption isotherms, not reactor hydrodynamics.
Friedlander model and Pasceri model are not standard frameworks for axial dispersion in reactors.
Common Pitfalls:
Final Answer:
Dispersion model
Discussion & Comments