Railway wheel profile fine-tuning system for profile recommendation

Abstract This paper develops a wheel profile fine-tuning system (WPFTS) that comprehensively considers the influence of on damage, vehicle stability, safety, and passenger comfort. WPFTS can recommend one or more optimized profiles according to train operators’ needs, e.g., reducing wear, mitigating development out-of-roundness (OOR), improving shape stability profile. Specifically, includes four modules: (I) generation module based rotary-scaling (RSFT) method; (II) multi-objective consisting rigid multi-body dynamics simulation (MBS) model, an analytical rigid–flexible MBS for generating 11 objectives related comfort; (III) weight assignment adaptive strategy manual strategy; (IV) optimization radial basis function (RBF) particle swarm (PSO). Finally, three cases are introduced show how WPTFS recommends needs. Among them, with high OOR, considering hunting derailment safety developed, respectively.