Automated Engine Component Design: A Parametric and Computational Framework for the Crankshaft

Automated Engine Component Design: A Parametric and Computational Framework for the Crankshaft Abstract This thesis presents a novel computational framework that automates the design and validation of high-performance mechanical components, using the internal combustion engine crankshaft as a comprehensive case study. Addressing the limitations of traditional, manual design processes, this work introduces a unified methodology that seamlessly integrates multi-disciplinary engineering analyses into an iterative design process. The framework systematically conducts kinematic, dynamic, and modal analyses, providing real-time feedback to the user before automatically generating a foundational Computer-Aided Design (CAD) model. A key contribution is the system's ability to perform forced vibration analysis and compute a Campbell Diagram to ensure operational stability and avoid destructive resonance. By significantly reducing the design cycle from weeks to hours and enabling rapid, data-driven design iterations, this work establishes a new paradigm for intelligent design, empowering engineers to explore a greater range of robust design alternatives.