Gear Train Efficiency & Bending Stress Back
Mechanical Design

Gear Train Efficiency & Tooth Bending Stress Calculator (AGMA)

Adjust module, tooth counts, face width, and input torque to instantly compute Lewis / AGMA bending stress, Hertz contact stress, and transmission efficiency — with animated gear meshing.

Gear Parameters
Module m (mm)
mm
Teeth z₁ (driver)
Teeth z₂ (driven)
Face width b (mm)
mm
Input speed n₁ (rpm)
rpm
Input torque T₁ (Nm)
N·m
Material
Overload factor K_o
Results
Results
Gear ratio i
Tang. force W_t (N)
Bending stress σ_b (MPa)
Contact stress σ_c (MPa)
Efficiency η (%)
Output torque T₂ (Nm)
Power P (kW)
Bending safety SF
Gear
Efficiency vs Gear Ratio
Bending Stress vs Tangential Force
Theory & Key Formulas
Lewis: $\sigma_b = \dfrac{W_t K_o K_v K_s}{b \cdot m \cdot Y}$
AGMA contact: $\sigma_c = Z_E\sqrt{\dfrac{W_t K_o K_v}{b \cdot d_p \cdot Z_I}}$
Efficiency: $\eta \approx 1 - \pi f\!\left(\dfrac{1}{z_1}+\dfrac{1}{z_2}\right)$

What is Gear Bending Stress & Efficiency?

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What exactly is "tooth bending stress" in a gear? Is it like the gear tooth is a little beam that can snap?
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Exactly right! Basically, each gear tooth acts like a tiny, short cantilever beam sticking out from the gear's body. When the teeth mesh, the force from the driven gear pushes against the tip of the driver's tooth, trying to bend it. The stress from this bending force is what we calculate. In practice, if this stress is too high, the tooth can fail by breaking at its root. Try increasing the "Input Torque T₁" slider in the simulator above—you'll see the bending stress rise immediately.
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Wait, really? So the "Module" (m) is just the gear's size? How does changing it affect the stress?
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In practice, the module is a key design parameter. It's essentially the "tooth size." A larger module means a bigger, thicker tooth. For instance, a truck's transmission gears have a much larger module than a watch's gears. A thicker tooth (larger m) is stronger and can handle more bending stress. You can see this directly: in the simulator, increase the "Module m" while keeping torque constant. The calculated bending stress will drop because the tooth cross-section got stronger.
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And the efficiency formula seems simple—it just uses the number of teeth. Does that mean more teeth are always more efficient?
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Good observation! The simplified model shows that efficiency improves with more teeth because there's less sliding friction per mesh. A common case is precision instruments, which use gears with many fine teeth (high tooth count) for smooth, efficient motion. But there's a trade-off: more teeth often means a smaller module, which can increase bending stress. Play with the "Teeth z₁ and z₂" sliders. You'll see efficiency creep up towards 99%, but watch what happens to the bending stress—it's the engineer's balancing act.

Physical Model & Key Equations

The Lewis Bending Equation models the gear tooth as a parabolic beam. The tangential force at the pitch circle creates the bending moment. The Lewis Form Factor (Y) accounts for the tooth shape and the point where the maximum stress occurs.

$$\sigma_b = \dfrac{W_t \cdot K_o \cdot K_v \cdot K_s}{b \cdot m \cdot Y}$$

$\sigma_b$: Bending stress (MPa)
$W_t$: Tangential force (N), derived from input torque and pitch radius
$K_o, K_v, K_s$: Overload, dynamic, and size factors
$b$: Face width (mm) – the "thickness" of the gear
$m$: Module (mm) – a fundamental measure of tooth size
$Y$: Lewis Form Factor – a geometry constant based on tooth shape and number

Gear mesh efficiency is primarily lost to sliding friction between the teeth. This simplified model estimates the power loss based on the friction coefficient and the geometry of the engagement.

$$\eta \approx 1 - \pi f \left( \dfrac{1}{z_1}+ \dfrac{1}{z_2} \right)$$

$\eta$: Efficiency (e.g., 0.98 for 98%)
$f$: Coefficient of friction between tooth surfaces (~0.05-0.1)
$z_1, z_2$: Number of teeth on the driver and driven gears
The term $(1/z_1 + 1/z_2)$ represents the average sliding velocity in the mesh. More teeth mean less sliding per revolution, hence higher efficiency.

Frequently Asked Questions

Yes, when you change the module, number of teeth, or input torque, the animation and calculation results (bending stress, contact stress, and efficiency) are updated in real time. You can adjust design parameters while visually checking the gear meshing condition.
The Lewis formula is based on an ideal cantilever beam model and does not consider dynamic effects or load distribution. The AGMA formula reflects actual operating conditions (such as velocity factor Kv and load distribution factor Ks), so it provides more conservative and realistic stress values. For final design decisions, please use the AGMA formula.
To reduce contact stress, it is effective to increase the module, increase the face width b, or decrease the input torque. Changing the gear ratio to increase the radius of curvature is also effective. You can adjust each parameter with sliders and check the results in real time.
This tool primarily considers losses due to sliding friction between tooth surfaces. Efficiency is calculated from the instantaneous sliding speed and friction coefficient according to the gear meshing position, and changes in efficiency are visualized in the animation. Bearing losses and churning losses are not included.

Real-World Applications

Automotive Transmissions: Gear designers use these exact calculations to balance strength and efficiency. A performance car gear needs high torque capacity (low bending stress) but also minimal power loss (high efficiency) to deliver more power to the wheels. The module and face width are critical design choices.

Industrial Gearboxes: In a conveyor belt drive or a cement mill, gears are subjected to massive, shock-like loads. Engineers use the Overload Factor (K_o) in the AGMA/Lewis equations to account for these shocks and select a material with a sufficient allowable bending stress to prevent catastrophic tooth failure.

Precision Robotics & Aerospace Actuators: Here, efficiency and smooth motion are paramount. Gears with high tooth counts (like planetary gearsets) are used to maximize efficiency and minimize backlash. The efficiency calculation helps predict power consumption and thermal management in sealed actuators.

Consumer Electronics: In devices like 3D printers or high-end cameras, small plastic or sintered metal gears are used. The bending stress calculation ensures the teeth won't break under repeated use, while the efficiency model informs battery life estimates for motor-driven systems.

Common Misconceptions and Points to Note

When you start using this tool, there are a few common pitfalls to watch out for. First, don't jump to the conclusion that a design is acceptable just because the efficiency is close to 100%. While the "mesh loss" calculated by this tool is a major factor, actual gearboxes also have bearing friction and oil churning losses. For instance, a design showing 99% efficiency in the tool can often result in around 95% efficiency in a real machine. To see the overall efficiency, it's crucial to treat this calculation as a starting point and consciously add up other losses.

Next, consider the balance when adjusting parameters. If you blindly increase the "module" or "face width" just to boost strength, the gears become heavier, increasing the moment of inertia. This can degrade start/stop responsiveness or increase the load on shafts and bearings. For applications where dynamic control is critical, like robot joints, always consider the "lightweight vs. strength" trade-off. When you change one parameter, get into the habit of imagining its ripple effects not just on the tool's output, but on the surrounding related design aspects.

Finally, remember this simulation is just the first step in "static strength evaluation". Real gears endure millions or tens of millions of load cycles, making fatigue strength the real concern. Even if the instantaneous stress from the tool is within the allowable limit, it's a separate question whether the fatigue life is sufficient at that stress level. Be especially careful with the "Overload Factor Ko"—if it's not chosen carefully based on experience and actual operating conditions, your calculations can become detached from reality.

How to Use

  1. Enter module (mm) in the Module field—typical values range 1–10 mm for industrial gearboxes
  2. Input pinion tooth count (Z1) and gear tooth count (Z2); ensure Z2 ≥ Z1 for speed reduction
  3. Specify input torque (Nm) and speed (RPM); simulator calculates tangential force, AGMA bending stress per Lewis formula, and Hertzian contact stress
  4. Review efficiency loss from mesh friction and safety factors against ISO/AGMA material limits

Worked Example

Steel spur gears with module 3 mm, pinion Z1=20 teeth, gear Z2=60 teeth, input torque 50 Nm at 1500 RPM. Gear ratio i=3.0. Tangential force W_t=(2×50)/0.060=1667 N. Bending stress σ_b≈185 MPa using Lewis form factor (Y_F≈0.32 for 20T). Contact stress σ_c≈1420 MPa (Hertzian). System efficiency η≈96% (0.5% loss per mesh). Output torque T₂=150 Nm at 500 RPM. Safety factor against 400 MPa yield≈2.16 for bending.

Practical Notes

  1. Module selection: coarser modules (6–10 mm) reduce contact stress but increase size; finer modules (1–3 mm) suit high-speed drives in automotive transmissions
  2. Hertzian contact stress dominates failure in case-hardened gears (58–62 HRC); bending stress governs in through-hardened materials (250–300 HB)
  3. Add surface-finish factor (K_f≈0.7–0.9) and stress-concentration factor for keyways when applying safety factors in critical applications
  4. Efficiency degrades with viscosity and bearing friction; adjust by ±1–3% for synthetic oils versus mineral formulations