Stirred Tank & CSTR Calculator Back
Chemical Engineering

Stirred Tank Reactor & Mixing Calculator

Set impeller type, rotational speed, and fluid properties to calculate mixing time, power draw, Reynolds number, and CSTR conversion in real time.

Tank & Impeller
Tank diameter D
m
Liquid height H_L
m
Impeller ratio d/D
Bottom clearance C/D
Impeller type
Speed N
rpm
Fluid Properties
Density ρ
kg/m³
Viscosity μ
CSTR Reaction
Rate constant k
Flow rate Q
TIS tanks N
1 = ideal CSTR / 10 ≈ PFR
Results
Mixing time t_m [s]
Power P [kW]
Spec. power P/V [W/L]
Conversion X [%]
Re_m [-]
Power number Np [-]
Residence time τ [s]
Flow regime
Power P vs speed N (impeller comparison)
Np–Re curve (Rushton turbine)
Theory & Key Formulas

Mixing Reynolds number: $Re_m = \dfrac{\rho N d^2}{\mu}$

Power: $P = N_p \cdot \rho \cdot N^3 \cdot d^5$

Blend time (turbulent): $N \cdot t_m \approx 5.9 \left(\dfrac{D}{d}\right)^2$

CSTR conversion (1st order): $X = \dfrac{k\tau}{1+k\tau}$, $\tau = \dfrac{V}{Q}$

What is a Stirred Tank Reactor?

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What exactly is the "mixing time" this simulator calculates, and why is it so important?
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Basically, mixing time is how long it takes for an added ingredient—like a dye or a reactant—to become uniformly distributed throughout the tank. In practice, if you don't mix long enough, you get "hot spots" of high concentration that can ruin a chemical batch. Try moving the "Impeller Speed (N)" slider down in the simulator. You'll see the mixing time shoot up, showing how crucial agitation is.
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Wait, really? So the impeller type changes things that much? What's the difference between a Rushton turbine and a pitched blade?
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Absolutely. A Rushton turbine is a "radial" impeller—it throws fluid outward, hitting the tank walls, which is great for gas dispersion. A pitched blade is an "axial" impeller—it pumps fluid up or down, which is better for overall blending. For instance, in a wastewater treatment tank, you'd use an axial impeller. Change the "Impeller Type" dropdown in the simulator and watch the Power Number (N_p) change, which directly affects the power draw.
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Okay, I see the Power Number. But what's the Reynolds number for mixing (Re_m) telling me? It's not the same as pipe flow, right?
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Right! It's the ratio of inertial to viscous forces for the impeller. A low Re_m (< 10) means thick, slow, "laminar" flow like honey. A high Re_m (> 10,000) means turbulent, chaotic mixing. The simulator calculates it live. When you increase the fluid "Density (ρ)" or decrease the "Viscosity (μ)", you'll see Re_m jump, and the blend time equation will switch from a laminar to a turbulent model.

Physical Model & Key Equations

The mixing Reynolds number determines the flow regime inside the tank. It dictates which physical correlations for power and blend time should be used.

$$Re_m = \dfrac{\rho N d^2}{\mu}$$

$\rho$: Fluid density (kg/m³) | $N$: Impeller rotational speed (rev/s) | $d$: Impeller diameter (m) | $\mu$: Dynamic viscosity (Pa·s). A high $Re_m$ indicates turbulent mixing.

The power required to turn the impeller is proportional to the cube of the speed and the fifth power of its diameter. The constant of proportionality is the Power Number.

$$P = N_p \cdot \rho \cdot N^3 \cdot d^5$$

$P$: Power (W) | $N_p$: Power Number (dimensionless, depends on impeller type and flow regime). This is the fundamental equation for motor sizing. The related Specific Power ($P/V$, W/m³) is the key scale-up criterion.

For a well-mixed Continuous Stirred-Tank Reactor (CSTR), the conversion of a first-order reaction depends on the average residence time of the fluid in the tank.

$$X = \dfrac{k \tau}{1 + k \tau}\quad \text{where}\quad \tau = \dfrac{V}{Q}$$

$X$: Fractional conversion | $k$: Reaction rate constant (1/s) | $\tau$: Residence time (s) | $V$: Tank volume (m³) | $Q$: Volumetric flow rate (m³/s). This assumes perfect, instantaneous mixing, which the calculated blend time must ensure.

Frequently Asked Questions

No, Np is automatically calculated. It is determined in real-time from the Np-Re curve based on the input impeller geometry (turbine, propeller, etc.) and Reynolds number Re. In the laminar flow region, Np is inversely proportional to Re, and in the turbulent flow region, it converges to a constant value.
Under turbulent conditions, θ_blend = 5.2 × (V^(1/3) / (N × D^2)) × (T/D)^(1/2) is used, while a different correlation is applied under laminar conditions. It is estimated from the tank diameter T, impeller diameter D, rotational speed N, and liquid volume V, and can be used as an indicator for scale-up.
Please utilize the graph display. You can visually check whether there are any abrupt changes in the power vs. rotational speed graph, or whether the Np-Re curve deviates from known impeller characteristics. Additionally, checking whether the specific power P/V aligns with typical stirring operation guidelines (e.g., 10–100 W/m³ for uniform mixing) can serve as a criterion.
At high viscosities, Re becomes small, leading to the laminar flow region. This tool applies the laminar flow Np correlation, so there is no issue, but in actual design, pay attention to the motor's torque limit and heat generation. Additionally, since mixing time becomes longer, it is necessary to set the specific power P/V higher than usual.

Real-World Applications

Pharmaceutical Manufacturing (GMP): In bioreactors for vaccine production, precise control of mixing time and shear (related to power input) is critical. Too little mixing starves cells of oxygen; too much damages them. Engineers use these exact calculations to design impeller systems that meet Good Manufacturing Practice (GMP) standards for consistent, scalable batches.

Polymer Synthesis: Reactions to create plastics like polypropylene are highly viscous and exothermic (heat-releasing). The power draw calculation is vital for selecting a motor strong enough to mix the thick fluid, and the mixing time ensures uniform temperature to prevent runaway reactions and off-spec product.

Wastewater Treatment: Large clarifiers and aeration basins use massive axial flow impellers. The primary goal is blending and oxygen transfer. Engineers scale up lab results to full-size tanks using the specific power ($P/V$) criterion—ensuring the same mixing intensity is achieved in a 10,000-gallon tank as in a 10-gallon lab reactor.

Fine Chemical & Food Processing: When producing sauces, paints, or specialty chemicals, achieving a homogeneous blend of multiple components is the goal. The blend time calculation helps determine the cycle time for a batch, directly impacting production throughput. The bottom clearance ($C/D$) parameter in the simulator is tuned to prevent dead zones where unmixed product can settle.

Common Misconceptions and Points to Caution

When starting to use this tool, there are several pitfalls that inexperienced users, in particular, often fall into. A major misconception is the belief that the power number Np is fixed at the impeller's catalog value. While it is nearly constant in the turbulent regime, if the liquid viscosity is high, the Re number drops and Np can change significantly. For instance, a Rushton turbine with Np=5 in water (μ=1 mPa·s) can see its Np jump to over 20 in a glycerin aqueous solution (μ=100 mPa·s). Underestimating viscosity risks the motor exceeding its rated current and burning out.

Next is the mindset that "shorter mixing time means everything is OK". While mixing time is indeed important, when handling substances "sensitive to shear force" like in crystallization or cell culture, high-speed, small-diameter impellers like propellers can destroy particles. Beyond required power and mixing time, you also need to consider other perspectives like "shear rate" and "circulation flow rate".

Finally, there are unit errors when inputting parameters. The tool is fundamentally based on the SI unit system (m, s, kg). A common mistake in practice is entering rotational speed as [rpm] or forgetting to convert viscosity from [cP], resulting in using a value 1/1000th of the correct one. For example, 100 rpm must be converted to $100/60 \approx 1.67$ [1/s], and 1000 cP to 1 [Pa·s]. If your calculation results seem far from reality, first suspect a unit error.