MTSimulation labs
Bounded teaching models · hardware untested

Make a prediction.
Interrogate the model.

These labs expose their equations and omissions. They help you reason before a bench test; they do not select parts, certify a circuit, or replace measurements and datasheets.

Current lab

DC motor

Read the supporting lesson →
01

Explicit assumptions

Enter one rated operating point

PreviewDefault inputs
02

Model output

Steady-state estimate

Running pointWithin the entered linear torque range.
DC motor and gearbox calculation
QuantityValueUnit / meaning
Motor-shaft torque demand0.011N·m = output torque ÷ ratio ÷ gear efficiency
Motor speed3,440rpm
Output speed344rpm
Estimated current1.127A
Electrical input6.763W = V × I
Motor mechanical power3.843W at motor shaft
Gear output power2.882W = Tload × ωoutput
Motor loss estimate2.921W; negative means inconsistent assumptions
Gear loss estimate0.961W, kept separate from motor loss
Total loss / input57.4%(input − output) ÷ input
  • Continuous torque, winding temperature, driver limits, and thermal duty are unknown.

Assumptions

  • Motor speed falls linearly from no-load speed to zero at stall torque.
  • Current rises linearly from no-load current to stall current.
  • The gearbox changes torque/speed using the entered ratio and efficiency.

Excluded effects

  • Linear steady-state interpolation from user-entered assumptions; no startup or other dynamics are predicted.
  • The voltage is the voltage associated with the entered ratings. This model does not scale RPM above or below it.
  • Continuous/thermal ratings, winding temperature, driver loss, friction changes, and component-specific behavior are unknown.
03

Evidence

Predict, observe, keep the mismatch

Unbound notesThese notes are retained as evidence, but are not attached to model parameters and cannot be exported as a report.

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