Fatigue Life Uncertainty Quantification of Front Suspension Lower Control Arm Design

The purpose of this study is to investigate the uncertainty design variables a front suspension lower control arm under fatigue-loading circumstances estimate reliable and robust product. This offers method for systematic quantification (UQ), following steps were taken achieve this: First, finite element model was built predict fatigue life bump-loading conditions. Second, sensitivity scheme, based on one global analyses, developed identify model’s most least significant input variables. Third, physics-based data-driven schemes employed quantify parameter uncertainties via Monte Carlo simulation. simulations conducted using 10,000 samples material properties geometrical variables, with coefficients variation ranging from 1 3%. Finally, confidence interval results show deviation about 21.74% mean (the baseline). As result, by applying UQ, more automobile can be designed during early stages produce efficient better approximation uncertain