Multi-body Dynamic Optimization Design of Sliding Guideway of Electrical Vehicles Based on Trust Region Algorithm

This study examines damage mechanisms in delivery vehicle sliding door systems, specifically addressing forced vibrations affecting neck components and roller assemblies. The design methodology employs a trust region multi-objective optimization algorithm to address complex nonlinear mechanical systems. The optimization approach partitions the design space into discrete sub-regions, applying iterative approximation methods within each trust region to derive guide rail parameters that satisfy smoothness requirements. Dynamic simulations conducted in ADAMS analyze rail system performance during standard operation, evaluating oblique vibrations in sliding components and forced bearing element motion. The proposed methodology integrates multi-body dynamics analysis with trust region optimization, offering a systematic framework for sliding guide rail design that balances spatial constraints with mechanical performance requirements. The validated design demonstrates enhanced performance characteristics compared to conventional configurations, particularly regarding vibration reduction and load distribution uniformity.