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Agglomeration Diagnosis in Crystallizers

A diagnostic tool to evaluate whether crystal size distribution is driven by growth or unwanted agglomeration based on fluid dynamics and crystallization kinetics.

📖 Need the theory? Read the methodology, assumptions, and equations in the full reference guide.
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1. Define Input Parameters

2. Engineering Output

Crystallizer Volume (V)
- m³
Residence Time (t_res)
- s
Shear Rate (gamma_dot)
- s⁻¹
Shear Stress (tau)
- Pa
Growth-Only Crystal Size (d_growth)
- m
Reynolds Number for Shear Zone (Re_shear)
- dimensionless
Agglomeration Threshold (d_threshold)
- m

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Context & Assumptions

Agglomeration diagnosis is essential in process engineering to maintain crystal size distribution and product quality in industries like pharmaceuticals and food processing. By comparing theoretical growth-only sizes with actual measurements, engineers can identify if process conditions like low shear or high supersaturation are causing particles to cluster.

Understand the Engineering Principles

Review the step-by-step derivations, typical industrial limits, and scale-up rules.

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