Reliability-based design optimization of V-belt drives using inverse reliability analysis and monte carlo simulation

Tóm tắt

V-belt drives are widely used in industrial and agricultural machinery, yet conventional deterministic design often ignores uncertainties in materials, operating conditions, and tolerances. This study proposes a Reliability-Based Design Optimization (RBDO) framework for V-belt drives, integrating Inverse Reliability Analysis with a Genetic Algorithm and validated by Monte Carlo Simulation. Design variables include driver and driven pulley diameters, belt length, and number of belts, with objectives of minimizing mass and maximizing transmitted power under a reliability target of R* = 99.9%. Results indicate that RBDO reduces system mass by 18.2% and increases power from 4.75 kW to 5.65 kW compared to deterministic optimization, while ensuring reliability. The proposed framework provides a practical tool for lightweight, reliable, and high-performance V-belt drive design.