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Pulley System Calculator

Find the effort force needed to lift a load with a pulley system.

Inputs

Results

Effort force277.7778N
Mechanical advantage3.6

Chart

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How to use the pulley system calculator

Find the effort force needed to lift a load with a pulley system. Enter load, supporting rope segments, efficiency in the fields above; the effort force, mechanical advantage are computed instantly and plotted on the chart so you can see how the answer changes.

Common searches this calculator answers include “block and tackle”, “lifting weight easier”, “mechanical advantage of pulleys”, “calculate pulley system”, “find effort force”.

Formula

Effort force (N) = w / (n × eff / 100)
Mechanical advantage = w / [Effort force]

Variables

  • w — Load (N)
  • n — Supporting rope segments
  • eff — Efficiency (%)

Worked example

With load = 1000 N, supporting rope segments = 4, efficiency = 90 %, the calculator gives effort force ≈ 277.7778 N; mechanical advantage ≈ 3.6.

Frequently asked questions

What is the pulley system calculator used for?

Find the effort force needed to lift a load with a pulley system. It helps with questions such as “block and tackle”, “lifting weight easier”, “mechanical advantage of pulleys”.

What is the formula for the pulley system calculation?

Effort force (N) = w / (n × eff / 100). Mechanical advantage = w / [Effort force]. Here w is load (N), n is supporting rope segments, eff is efficiency (%).

What inputs do I need for the pulley system calculator?

You need load in N, supporting rope segments, efficiency in %. Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.

How do I use the pulley system calculator?

Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.

Is the pulley system result exact?

Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.

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