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Quickly calculate sliding friction by entering the coefficient of friction and normal force. A free online kinetic friction calculator for physics and engineering.
For an object on a horizontal surface, N = m·g is used to calculate kinetic friction.
Common reference values: Steel-Steel 0.4-0.6; Wood-Wood 0.2-0.5; Rubber-Concrete 0.6-0.85; Ice-Ice 0.02-0.09.
Typically 9.8 m/s² on Earth's surface; 9.81 m/s² can be used for engineering estimates.
Formulas
Kinetic Friction: f = μ · N
Normal Force (Horizontal Surface): N = m · g
Normal Force (Inclined Plane): N = m · g · cos(θ)
Gravitational Component (Along Incline): F∥ = m · g · sin(θ)
This tool is based on classical mechanics, assuming the object is already sliding relative to the contact surface.
Negative net force along the incline means friction is greater than the gravitational component. The object will decelerate or remain stationary (further comparison with maximum static friction is needed).
Overview
Understand what the tool solves, how it works, and the boundaries of its data.
Kinetic friction (also called sliding friction) is the simplified resisting-force magnitude for two surfaces already sliding against one another. The model used here is fk = μkN, where μk is the coefficient of kinetic friction and N is the normal force pressing the surfaces together. The coefficient has no unit; force is in newtons (N). OpenStax presents this relation for kinetic friction and distinguishes it from static friction.
For example, with m = 10 kg, g = 9.8 m/s², θ = 30°, and μ = 0.3, N is about 84.870 N and friction is about 25.461 N. The gravity component down the slope is 49 N, so the model’s net force down the slope is about 23.539 N and acceleration about 2.354 m/s².
The incline calculation defines down the slope as positive. A positive net force or acceleration points down the slope; a negative value points up. The calculator applies kinetic friction with the documented sign convention. It does not decide whether a stationary object starts moving, nor does it model an externally applied force.
Guide
Follow the workflow and verify inputs and outputs with practical examples.
Choose whether you know the normal force, have a horizontal mass, or are working with an incline.
Enter a kinetic friction coefficient from 0 through 5. The allowed input range is a form constraint, not a claim that every value is realistic for every surface pair.
Enter force in newtons for known-normal-force mode. In the other modes enter mass in kilograms and gravity in m/s²; incline mode also needs an angle from 0° to 90°.
Review the result’s normal force, friction, and—on an incline—parallel gravity component, net force, and acceleration. Choose 2, 3, 4, or 6 decimal places for display; shown values are rounded.
Check a simple case by hand: μ = 0.3 and N = 100 N gives fk = 0.3 × 100 = 30 N.
Use cases
See how the tool fits into real work and everyday tasks.
For a problem that says an object is already sliding, use the known-force mode to check μkN and verify that the force unit remains newtons.
Enter the same mass, gravity, and coefficient in the horizontal and incline modes to see how the normal force changes and how gravity’s along-slope component affects the simplified result.
Q&A
Find concise answers to common questions and confusing cases.
No. It calculates kinetic friction for sliding motion; static friction adjusts to the applied force up to a limit and needs a different analysis.
No. You supply μ. The tool does not identify surfaces or measure their friction coefficient.
Down the slope is defined as positive. A negative net force and acceleration indicate the result points up the slope under the entered model.
Use newtons. If your problem gives another force unit, convert it to newtons before entering it.
Notes
Review scope, result limitations, and important precautions before use.
The relation assumes a chosen constant coefficient and idealized contact. Real friction depends on surface condition and other physical details; this calculator does not measure those conditions. Its incline result is not a start-or-stop test for an object at rest. Use the assumptions in your problem or engineering model when deciding whether this approximation applies.
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