Artificial Intelligence in Aerospace Engineering

Artificial Intelligence is transforming aerospace engineering—from aircraft design and aerodynamic optimization to propulsion modeling, autonomous space missions, and predictive maintenance. Yet aerospace is a safety-critical domain where performance alone is not enough: reliability, explainability, and certification are essential.

Artificial Intelligence in Aerospace Engineering is a structured, engineering-focused guide built around three pillars: applications, challenges, and future directions. It follows a clear progression aligned with the aerospace lifecycle and modern certification constraints.

Inside, you will explore:

• AI in aircraft design and aerodynamics (CFD acceleration, surrogate models, generative design, digital twins)
• AI in propulsion and structural engineering (performance prediction, health monitoring, fatigue and damage modeling)
• AI in space systems and autonomous missions (GNC, vision-based navigation, constellation operations, anomaly detection)
• AI in manufacturing and maintenance (computer vision inspection, NDT, additive manufacturing control, predictive MRO)
• Safety, reliability, and certification of AI in aerospace (assurance, human factors, drift, explainability, standards and regulation)
• Future scenarios and the evolving role of aerospace engineers in an AI-augmented industry

Written for aerospace engineers, engineering students, and technology professionals, this book avoids hype and focuses on realistic engineering constraints, test and validation requirements, and human–AI collaboration in safety-critical systems.