Plastic spur gears are widely used in automotive, consumer, and office equipment due to their light weight, low noise, and design
flexibility. However, their lifetime prediction remains challenging because plastics exhibit more complex material behavior than
metals. This article reviews recent advances in durability prediction, focusing on three major failure modes - static fracture, tooth
root fatigue, and abrasive wear - using PA (polyamide) 46 as a representative material, which, owing to its high crystallinity,
maintains stable mechanical properties over a wide temperature range and exhibits superior wear and heat resistance. Predictive
methods have been refined by incorporating hydrostatic pressure-dependent yielding, anisotropic material properties, crack growth
models with temperature-adjusted parameters, and Archard’s law extended with pressure-dependent wear coefficients. These
developments, supported by experiments, finite element analysis, and machine learning, improve accuracy in estimating gear
performance.
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