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Affinity Laws Calculator

Calculate pump performance at different speeds and impeller diameters using affinity laws

Category: Fluid

Affinity Laws Calculator Inputs

Enter values to calculate

Choose the Change Type option used by the Affinity Laws Calculator.

Enter the Original Flow Rate (Q₁, m³/s) value used by the Affinity Laws Calculator.

Enter the Original Head (H₁, m) value used by the Affinity Laws Calculator.

Enter the Original Power (P₁, W) value used by the Affinity Laws Calculator.

Enter the Original Speed (N₁, rpm) value used by the Affinity Laws Calculator.

Enter the New Speed (N₂, rpm) value used by the Affinity Laws Calculator.

Enter the Original Diameter (D₁, m) value used by the Affinity Laws Calculator.

Enter the New Diameter (D₂, m) value used by the Affinity Laws Calculator.

Enter the Original Efficiency (η₁, %) value used by the Affinity Laws Calculator.

Enter the Fluid Density (ρ, kg/m³) value used by the Affinity Laws Calculator.

Enter the Annual Operating Hours (hrs/year) value used by the Affinity Laws Calculator.

Enter the Energy Cost ($/kWh) value used by the Affinity Laws Calculator.

Enable JavaScript for interactive calculation and step-by-step results.

Affinity Laws Calculator Formula

Equation

(Q_2)/(Q_1) = (N_2)/(N_1) = (D_2)/(D_1)

Excel Formula

=(Q_2)/(Q_1)=(N_2)/(N_1)=(D_2)/(D_1)

Variables

  • Change Type — Choose the Change Type option used by the Affinity Laws Calculator.
  • Original Flow Rate (Q₁, m³/s) — Enter the Original Flow Rate (Q₁, m³/s) value used by the Affinity Laws Calculator.
  • Original Head (H₁, m) — Enter the Original Head (H₁, m) value used by the Affinity Laws Calculator.
  • Original Power (P₁, W) — Enter the Original Power (P₁, W) value used by the Affinity Laws Calculator.
  • Original Speed (N₁, rpm) — Enter the Original Speed (N₁, rpm) value used by the Affinity Laws Calculator.
  • New Speed (N₂, rpm) — Enter the New Speed (N₂, rpm) value used by the Affinity Laws Calculator.
  • Original Diameter (D₁, m) — Enter the Original Diameter (D₁, m) value used by the Affinity Laws Calculator.
  • New Diameter (D₂, m) — Enter the New Diameter (D₂, m) value used by the Affinity Laws Calculator.
  • Original Efficiency (η₁, %) — Enter the Original Efficiency (η₁, %) value used by the Affinity Laws Calculator.
  • Fluid Density (ρ, kg/m³) — Enter the Fluid Density (ρ, kg/m³) value used by the Affinity Laws Calculator.
  • Annual Operating Hours (hrs/year) — Enter the Annual Operating Hours (hrs/year) value used by the Affinity Laws Calculator.
  • Energy Cost ($/kWh) — Enter the Energy Cost ($/kWh) value used by the Affinity Laws Calculator.

How the Affinity Laws Calculator Works

The affinity laws (also known as pump laws or fan laws) are a set of empirical relationships that describe how the performance characteristics of centrifugal pumps and fans change with variations in rotational speed and impeller diameter. These laws are fundamental principles in fluid mechanics and are essential for pump selection, performance prediction, and system optimization. The affinity laws apply to geometrically similar machines operating at dynamically similar conditions.

The core relationship is \frac{Q_2}{Q_1} = \frac{N_2}{N_1} = \frac{D_2}{D_1}. Typical inputs include Change Type, Original Flow Rate (Q₁, m³/s), Original Head (H₁, m), Original Power (P₁, W).

Enter your values in the affinity laws calculator above, review the step-by-step solution, and compare against the worked examples below so you can see how each input changes the result. This free online fluid tool is built for homework, design checks, and professional verification.

Affinity Laws Calculator Theory & Explanation

Fundamental Principles

The affinity laws are derived from dimensional analysis and similarity principles in fluid dynamics. They relate pump performance parameters (flow rate, head, and power) to operating conditions (speed and diameter). These relationships are based on the principle that geometrically similar pumps operating at equivalent points on their performance curves will have predictable performance ratios.

The laws assume: • Constant efficiency between operating points • Geometric similarity of impellers • Dynamic similarity (same Reynolds number regime) • Incompressible fluid with constant properties • Same system resistance characteristics

Speed Affinity Laws

When the impeller diameter remains constant and only the rotational speed changes, the performance parameters scale according to the following relationships:

**Flow Rate (First Law):** The volumetric flow rate is directly proportional to the rotational speed. This relationship reflects that faster rotation moves more fluid per unit time.

**Head (Second Law):** The pump head varies with the square of the speed ratio. This quadratic relationship comes from the kinetic energy imparted to the fluid being proportional to the square of the velocity.

**Power (Third Law):** The required power varies with the cube of the speed ratio. This cubic relationship results from power being the product of head (speed²) and flow (speed).

Mathematically: (Q_2)/(Q_1) = (N_2)/(N_1) (H_2)/(H_1) = ((N_2)/(N_1))^2 (P_2)/(P_1) = ((N_2)/(N_1))^3

Where: • Q = volumetric flow rate (m³/s, GPM, L/s) • H = total dynamic head (m, ft) • P = brake horsepower or shaft power (W, HP) • N = rotational speed (rpm, rad/s) • Subscripts 1 and 2 denote initial and new conditions

(Q_2)/(Q_1) = (N_2)/(N_1) \\ (H_2)/(H_1) = ((N_2)/(N_1))^2 \\ (P_2)/(P_1) = ((N_2)/(N_1))^3

Diameter Affinity Laws

When the rotational speed remains constant and only the impeller diameter changes (through trimming or replacement), the performance parameters follow similar scaling relationships:

**Flow Rate:** The flow rate is directly proportional to the diameter ratio, reflecting the change in swept volume.

**Head:** The head varies with the square of the diameter ratio, similar to the speed relationship, due to changes in peripheral velocity.

**Power:** The power requirement varies with the cube of the diameter ratio.

Mathematically: (Q_2)/(Q_1) = (D_2)/(D_1) (H_2)/(H_1) = ((D_2)/(D_1))^2 (P_2)/(P_1) = ((D_2)/(D_1))^3

Where: • D = impeller diameter (mm, in) • Other variables as defined above

**Important:** Impeller trimming should generally be limited to 10-15% reduction to maintain reasonable accuracy.

(Q_2)/(Q_1) = (D_2)/(D_1) \\ (H_2)/(H_1) = ((D_2)/(D_1))^2 \\ (P_2)/(P_1) = ((D_2)/(D_1))^3

Combined Speed and Diameter Changes

When both speed and diameter change simultaneously, the affinity laws can be combined:

(Q_2)/(Q_1) = (N_2)/(N_1) · (D_2)/(D_1) (H_2)/(H_1) = ((N_2)/(N_1))^2 · ((D_2)/(D_1))^2 (P_2)/(P_1) = ((N_2)/(N_1))^3 · ((D_2)/(D_1))^3

These combined relationships are useful when both parameters are modified or when converting between different pump sizes and speeds.

(Q_2)/(Q_1) = (N_2)/(N_1) · (D_2)/(D_1) \\ (H_2)/(H_1) = ((N_2)/(N_1) · (D_2)/(D_1))^2 \\ (P_2)/(P_1) = ((N_2)/(N_1) · (D_2)/(D_1))^3

Specific Speed and Pump Selection

The specific speed (N_s) is a dimensionless parameter that characterizes pump geometry and performance:

N_s = (N√(Q))/(H^3/4)

Specific speed remains constant for geometrically similar pumps and helps in: • Selecting the appropriate pump type • Predicting efficiency characteristics • Comparing different pump designs

Typical ranges: • Radial flow (centrifugal): N_s = 500-1500 • Mixed flow: N_s = 1500-4000 • Axial flow: N_s = 4000-10000

N_s = (N√(Q))/(H^3/4)

System Curve and Operating Point

The pump operates where its performance curve intersects the system curve. The system head is described by:

H_system = H_static + K · Q^2

Where: • H_static = elevation difference + pressure head (constant) • K = system resistance coefficient • Q^2 term represents friction losses

When pump speed changes, the new operating point shifts along the system curve. Understanding this interaction is crucial for proper system design and energy optimization.

H_system = H_static + K · Q^2

Efficiency Considerations

While affinity laws assume constant efficiency, in practice:

• Efficiency varies with operating point • Peak efficiency occurs at the Best Efficiency Point (BEP) • Operating far from BEP reduces efficiency and increases wear • Reynolds number effects can cause efficiency changes • Very low speeds may experience increased viscous losses

The Moody equation provides efficiency correction: (1-\eta_2)/(1-\eta_1) = ((D_1)/(D_2))^1/4

Where \eta is the pump efficiency.

(1-\eta_2)/(1-\eta_1) = ((D_1)/(D_2))^1/4

Practical Applications

The affinity laws are used extensively in:

**Variable Speed Drives (VSD):** VSDs control pump speed to match system demand, providing significant energy savings compared to throttling valves.

**Pump Trimming:** Reducing impeller diameter allows fine-tuning of pump performance to match system requirements without replacing the entire pump.

**Scaling Studies:** Predicting full-scale pump performance from model tests or vice versa.

**Energy Analysis:** The cubic relationship between speed and power means that small speed reductions yield large energy savings. For example, reducing speed by 20% reduces power by approximately 49%.

**Troubleshooting:** Diagnosing pump performance issues by comparing measured values to predicted affinity law relationships.

Limitations and Validity

The affinity laws have important limitations:

**Valid When:** • Changes are moderate (±20% speed, ±15% diameter) • Pumps are geometrically similar • Operating in turbulent regime (Re > 10⁵) • Same fluid properties (density, viscosity) • Similar relative operating points

**Invalid When:** • Large speed or diameter changes (>20-25%) • Significant Reynolds number effects (laminar or transitional flow) • Cavitation occurs • Compressibility effects are significant • Different impeller geometries • Operating far from BEP

**Accuracy:** Typically ±5% for flow and head, ±10% for power within valid ranges. Accuracy decreases with larger changes and deviations from assumptions.

Affinity Laws Calculator Worked Examples

Worked Example

Inputs

  • originalFlow: 0.1
  • originalHead: 20
  • originalPower: 2000
  • originalSpeed: 1750
  • newSpeed: 2000

Result: New Flow: 0.114 m³/s, New Head: 26.1 m, New Power: 2986 W, Speed Ratio: 1.143, Energy Increase: 49.3%

Explanation

**Example 1: Speed Change Analysis**

A centrifugal pump operates at the following conditions: • Original flow rate (Q₁) = 0.1 m³/s • Original head (H₁) = 20 m • Original power (P₁) = 2000 W • Original speed (N₁) = 1750 rpm • New speed (N₂) = 2000 rpm

**Step 1: Calculate Speed Ratio** \textSpeed Ratio = (N_2)/(N_1) = (2000)/(1750) = 1.143

**Step 2: Apply First Affinity Law (Flow)** Q_2 = Q_1 × (N_2)/(N_1) = 0.1 × 1.143 = 0.114 \text m^3\text/s

The flow increases by 14.3% proportionally to the speed increase.

**Step 3: Apply Second Affinity Law (Head)** H_2 = H_1 × ((N_2)/(N_1))^2 = 20 × (1.143)^2 = 20 × 1.306 = 26.1 \text m

The head increases by 30.6% (square of speed ratio).

**Step 4: Apply Third Affinity Law (Power)** P_2 = P_1 × ((N_2)/(N_1))^3 = 2000 × (1.143)^3 = 2000 × 1.493 = 2986 \text W

The power increases by 49.3% (cube of speed ratio).

**Key Observations:** • A 14.3% speed increase results in a 49.3% power increase • This demonstrates the cubic relationship and importance of speed control for energy efficiency • Operating at lower speeds when possible provides significant energy savings

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**Example 2: Impeller Trimming**

Consider trimming an impeller from 250 mm to 225 mm diameter: • Original diameter (D₁) = 250 mm • New diameter (D₂) = 225 mm • Original conditions: Q₁ = 50 L/s, H₁ = 30 m, P₁ = 20 kW

\textDiameter Ratio = (225)/(250) = 0.9

Q_2 = 50 × 0.9 = 45 \text L/s (10% reduction) H_2 = 30 × (0.9)^2 = 24.3 \text m (19% reduction) P_2 = 20 × (0.9)^3 = 14.6 \text kW (27% reduction)

This 10% diameter reduction yields 27% power savings while maintaining 90% of original flow.

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**Example 3: Variable Speed Drive (VSD) Energy Savings**

A pump runs 24/7 at 1800 rpm consuming 50 kW. System analysis shows flow can be reduced to 80% during off-peak hours:

(Q_2)/(Q_1) = 0.8 = (N_2)/(N_1) \implies N_2 = 1800 × 0.8 = 1440 \text rpm

P_2 = P_1 × (0.8)^3 = 50 × 0.512 = 25.6 \text kW

Power savings = 50 - 25.6 = 24.4 kW (48.8% reduction)

If off-peak hours are 16 hours/day: • Peak power (8 hrs): 50 kW × 8 = 400 kWh • Off-peak power (16 hrs): 25.6 kW × 16 = 410 kWh • Total daily consumption: 810 kWh • Without VSD: 50 kW × 24 = 1200 kWh • Daily savings: 390 kWh (32.5%) • Annual savings: ~142,000 kWh

Second Scenario

Inputs

  • originalFlow: 0.075
  • originalHead: 20
  • originalPower: 2000
  • originalSpeed: 1750
  • newSpeed: 2000

Result: New Flow: 0.114 m³/s, New Head: 26.1 m, New Power: 2986 W, Speed Ratio: 1.143, Energy Increase: 49.3%

Explanation

This scenario uses different inputs (originalFlow = 0.075, originalHead = 20, originalPower = 2000, originalSpeed = 1750, newSpeed = 2000) to show how changing one variable affects the affinity laws result. Run the calculator above with these values to get the exact updated output with step-by-step work.

Common Affinity Laws Calculator Use Cases

  • Affinity Laws homework and study
  • Affinity Laws design and analysis
  • Quick affinity laws estimates
  • Verifying spreadsheet or hand calculations

Affinity Laws Calculator FAQs

When can affinity laws be used?

Affinity laws can be used when the pump operates at similar efficiency points and the changes are within reasonable limits (typically ±20% for speed, ±15% for diameter). They are most accurate for geometrically similar impellers operating in turbulent flow regimes (Reynolds number > 10⁵). The laws work best when both the original and new operating conditions are near the pump's Best Efficiency Point (BEP).

How do affinity laws affect efficiency?

Affinity laws assume constant efficiency, but in practice, efficiency may change with speed or diameter. The efficiency typically decreases at very low or very high speeds relative to the design point. The Moody equation can estimate efficiency changes: (1-η₂)/(1-η₁) = (D₁/D₂)^(1/4). Generally, efficiency decreases by 1-3% for each 10% diameter reduction. Operating near the BEP minimizes efficiency variations.

Can affinity laws be used for different fluids?

Affinity laws can be used for different fluids with similar viscosity and density. For significantly different viscosities, Reynolds number effects may need to be considered, and the laws may not be as accurate. For highly viscous fluids (viscosity > 100 cP), corrections based on Reynolds number are necessary. The laws work best for water and fluids with similar properties.

What is the relationship between speed reduction and energy savings?

Energy savings follow the cubic relationship of the affinity laws. A 20% speed reduction (80% of original speed) results in approximately 49% power reduction [(0.8)³ = 0.512]. This makes variable speed drives (VSD) extremely effective for energy savings. Even small speed reductions yield significant energy savings: 10% speed reduction saves about 27% energy, while 30% reduction saves about 66% energy.

How much can an impeller be trimmed?

Impeller trimming should generally be limited to 10-15% diameter reduction to maintain accuracy and reasonable efficiency. Beyond 15% trimming, the pump efficiency degrades significantly, and the affinity laws become less accurate. For larger capacity reductions, it's better to select a different pump or use variable speed control. Always consult manufacturer guidelines for specific impeller trimming limits.

Do affinity laws work for fans and blowers?

Yes, affinity laws apply to all turbomachinery including fans, blowers, and compressors, as long as the flow remains incompressible. For fans handling air at low pressure rises (< 10% density change), the laws are accurate. For compressors with significant density changes, compressible flow equations must be used instead. The same cubic power relationship makes VSDs valuable for fan energy savings.

What is specific speed and why does it matter?

Specific speed (Ns) is a dimensionless parameter calculated as Ns = N√Q/H^(3/4) that characterizes pump geometry. It remains constant for geometrically similar pumps and determines the pump type: centrifugal (Ns = 500-1500), mixed flow (Ns = 1500-4000), or axial (Ns = 4000-10000). Specific speed helps select the most efficient pump type for given flow and head requirements.

How do affinity laws relate to system curves?

The system curve (Hsystem = Hstatic + K×Q²) represents the head required at each flow rate. When pump speed changes, the pump curve shifts, but the system curve remains fixed. The new operating point occurs where the new pump curve intersects the system curve. This interaction determines actual flow and head changes, which may differ slightly from pure affinity law predictions if the system curve is very steep or flat.

Can I use affinity laws for parallel or series pump operation?

Affinity laws apply to individual pumps, not pump combinations directly. For parallel pumps (increased flow), combine the flow rates at each head value. For series pumps (increased head), add the heads at each flow rate. If changing speed of pumps in parallel/series, apply affinity laws to each pump individually, then combine the curves. The system operating point shifts based on the combined pump curve and system curve intersection.

What are common errors when applying affinity laws?

Common errors include: (1) Applying laws beyond valid ranges (>20-25% changes), (2) Ignoring efficiency changes, especially with large diameter trims, (3) Using laws for cavitating conditions, (4) Applying to positive displacement pumps instead of centrifugal, (5) Neglecting Reynolds number effects at low speeds, (6) Comparing geometrically dissimilar impellers, and (7) Not accounting for system curve interactions when predicting actual operating points.

How do I verify affinity law predictions in practice?

Verify predictions by measuring flow, head (pressure), and power at both speeds/diameters. Calculate actual ratios and compare to theoretical predictions. Differences of 5-10% are normal due to efficiency changes and measurement errors. Large discrepancies suggest issues like cavitation, wrong pump curve, system changes, or measurements outside valid ranges. Always install proper instrumentation (flow meters, pressure gauges, power meters) to validate performance.

What is the Best Efficiency Point (BEP) and why is it important?

The Best Efficiency Point (BEP) is where the pump operates at peak efficiency with minimum hydraulic losses, vibration, and wear. Operating far from BEP (< 70% or > 120% of BEP flow) causes: increased energy consumption, excessive vibration, bearing wear, seal problems, and reduced pump life. When applying affinity laws, ensure both original and new operating points are within 70-120% of BEP for optimal results and reliability.