Design Optimization Challenge

Brief

This project demonstrates advanced mechanical design, computational analysis, and optimization through the development of a fully validated geartrain system under fatigue and reliability constraints. I implemented a Python-based engineering framework to evaluate bending stress, contact stress, AGMA factors, fatigue life, and safety margins while satisfying design requirements for power transmission and long-term durability. The project integrated parametric gear geometry selection, shaft stress analysis, bearing life calculations, and material comparisons to minimize mass and objective cost functions while meeting reliability targets. Structured documentation of assumptions, equations, design constraints, and optimization results ensured transparency and reproducibility, showcasing strong capabilities in machine design, numerical methods, and systems-level engineering decision-making.