Case Studies

Real questions. Measured answers.

Five engineering studies comparing impeller designs, reactor geometries, spacing, baffles, and multi-configuration optimization — all measured with RPT-AI. Each study includes the engineering question, key results, and the real data tables.

01Case Study

Agitator Design

Engineering Question

Which impeller performs better: Rushton turbine or propeller?

Results

  • Faster mixing (τ⁻¹) with Rushton turbine
  • Higher radial pumping
  • Higher wall velocity

Conclusion

The Rushton turbine outperforms the propeller across all mixing indicators.

Time to Insight

2 configurations tested in 2 days

Measured Flow Fields

A — Rushton turbine

A — Rushton turbine

B — Propeller

B — Propeller

Measured Data

LabelVelocityAgitatorBottomBafflesPowerτ⁻¹Max AxialMax RadialMean Wall Vel.
RPMWs⁻¹L/sL/sm/s
A (500 RPM)500RushtonSquareNo5.20.7832.194.19171.4
B (500 RPM)500PropellerSquareNo3.50.3102.153.06110.7
02Case Study

Bottom Geometry

Engineering Question

Does the shape of the reactor bottom affect mixing with a Rushton turbine?

Results

  • Mixing: similar in both cases
  • Axial pumping higher with flat bottom
  • Wall velocity higher with flat bottom

Conclusion

The flat bottom outperforms the rounded bottom for flow circulation — a counterintuitive insight revealed by measurement.

Time to Insight

2 configurations tested in 2 days

Measured Flow Fields

A — Square (flat) bottom

A — Square (flat) bottom

C — Ellipsoid bottom

C — Ellipsoid bottom

Measured Data

LabelVelocityAgitatorBottomBafflesPowerτ⁻¹Max AxialMax RadialMean Wall Vel.
RPMWs⁻¹L/sL/sm/s
A (500 RPM)500RushtonSquareNo5.20.7832.194.19171.4
C (500 RPM)500RushtonEllipsoidNo4.60.7721.753.54166.2
03Case Study

Impeller Spacing

Engineering Question

Does the distance between two Rushton turbines affect mixing?

Results

  • 3× better mixing with closer spacing (H/3)
  • Lower wall velocity and pumping

Conclusion

Better mixing: H/3. Better wall heat transfer: H/2.

Time to Insight

2 configurations tested in 2 days

Measured Flow Fields

E — H/2 spacing

E — H/2 spacing

F — H/3 spacing

F — H/3 spacing

Measured Data

LabelVelocityAgitatorBottom# AgitatorsPowerτ⁻¹Max AxialMax RadialMean Wall Vel.
RPMWs⁻¹L/sL/sm/s
E (500 RPM)500RushtonEllipsoid24.90.3903.318.34233.8
F (500 RPM)500RushtonEllipsoid24.71.1761.863.32171.3
04Case Study

Effect of a Baffle

Engineering Question

How does adding a baffle affect the flow field and mixing performance?

Results

  • Mixing improves with the baffle (higher τ⁻¹)
  • Radial and axial pumping increase with the baffle
  • Wall velocity decreases with the baffle

Conclusion

If mixing is the priority → baffled is better. If wall heat transfer is critical → unbaffled may perform better.

Time to Insight

2 configurations tested in 2 days

Measured Flow Fields

F — Unbaffled

F — Unbaffled

H — Baffled

H — Baffled

Measured Data

LabelVelocityAgitatorBottom# AgitatorsBafflesPowerτ⁻¹Max AxialMax RadialMean Wall Vel.
RPMWs⁻¹L/sL/sm/s
F (500 RPM)500RushtonEllipsoid2No4.71.1761.863.32171.3
H (500 RPM)500RushtonEllipsoid2Yes5.71.2002.233.28155.5
05Case Study

Multi-Configuration Optimization

Engineering Question

Which agitator configuration delivers the best performance for mixing, heat transfer, or pumping?

Results

  • Best mixing efficiency: Configurations F and H
  • Best heat transfer potential: Configuration E
  • Best axial pumping: Configurations D and E

Conclusion

The optimal configuration depends on the process objective. RPT-AI allows engineers to compare many configurations and identify the best operating point.

Time to Insight

30 configurations tested in 34 days (including calibration)

Measured Flow Fields

Mixing rate (τ⁻¹) vs Power

Mixing rate (τ⁻¹) vs Power

Mean wall velocity vs Power

Mean wall velocity vs Power

Max axial pumping vs Power

Max axial pumping vs Power

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