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Friction and wear prediction of copper-free resin-based brake materials: A hybrid PSO-FPA-BP neural network approach

Kaikui Zheng, Qing Le, Ling Pan, Jianmeng Huang

2026Wear23 citationsDOI

Topics & Concepts

Materials scienceParticle swarm optimizationArtificial neural networkBrakeRobustness (evolution)Friction coefficientDisc brakeOrthogonal arrayRange (aeronautics)GeneralizationDynamical frictionAlgorithmControl theory (sociology)Biological systemPrincipal component analysisCoatingNonlinear systemComputer scienceMinimum-variance unbiased estimatorMaterial propertiesParticle (ecology)Brake Systems and Friction AnalysisAluminum Alloys Composites PropertiesTribology and Wear Analysis
Friction and wear prediction of copper-free resin-based brake materials: A hybrid PSO-FPA-BP neural network approach | Litcius