Samsung Keypad Design Optimization Using FEA Simulation

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Samsung Keypad Design Optimization Using FEA Simulation

Case study showing how Samsung used Abaqus FEA to model fingertip-key interaction and reduce mobile device mistyping errors from 35% to 7%.

Published

June 4, 2026

Read time

3 min read

Source

Samsung engineers at the Global Production Technology Center applied finite element analysis to simulate human thumb biomechanics and keypad mechanics. They built detailed FEA models of skin, tissue, bone, and spring-dome keys, then used Python automation in Abaqus to optimize seven design variables including key pitch, width, and angles. The resulting layout cut mistyping rates significantly while reducing physical prototyping cycles.

Key takeaways

FEA models of fingertip (hyperelastic skin, biphasic tissue) and nonlinear spring keys accurately predicted contact forces and mistyping ratios.

Seven design variables were tested across 27 simulation runs; key pitch on adjacent keys proved most critical for error reduction.

Mistyping ratio improved from 35% to 7% after optimization, validated by Tekscan pressure measurements.

Python scripting automated repetitive FEA tasks, shortening design iterations versus trial-and-error physical builds.

Approach supports future whole-hand and arm models for broader human-device interface optimization.

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