Automated Fiber Orientation Optimization for Enhanced Damage Tolerance in Carbon Fiber Reinforced Polymer (CFRP) Aerospace Structures via Bayesian Optimization and Finite Element Analysis
Abstract: This paper proposes a novel framework employing Bayesian Optimization (BO) coupled with Finite Element Analysis (FEA) to autonomously optimize fiber orientation patterns in Carbon Fiber Reinforced Polymer (CFRP) composite laminates for aerospace applications. Current manufacturing techniques often rely on predefined, sub-optimal layups. Our framework dynamically explores fiber orientation variations, predicting damage progression under impact loading, and iteratively adjusting orientations to maximize damage tolerance. The proposed system demonstrates potential for a 15-25% improvement in impact resistance compared to conventional layup schedules, significantly reducing maintenance costs and extending operational lifespans for aircraft structures. This method integrates automated layup design with computatio