A survey – AI Aerospace is a M.Tech project topic for Aerospace / Aeronautical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
A survey – AI Aerospace Project Details
| Abstract |
The integration of artificial intelligence (AI) within aerospace engineering has evolved from an experimental domain into a fundamental enabler for advanced design, manufacturing, and operational capabilities. This research comprehensively surveys the contemporary applications of AI across the aerospace sector and assesses its anticipated trajectory. In the design phase, AI methodologies are utilized to augment multidisciplinary optimization processes. Machine learning models contribute to enhanced simulations and cost reduction, encompassing areas such as aerodynamic shape optimization, structural integrity assessment, and propulsion system performance. These AI tools primarily complement, rather than replace, established conventional methods, particularly during initial development stages. Within manufacturing, AI facilitates improved process control, defect identification, and supply chain optimization.
The deployment of intelligent monitoring systems in composite fabrication and additive manufacturing has demonstrably enhanced production reliability and reduced variability. These advancements are crucial given the increasing complexity and material sophistication of modern aerospace systems. Operationally, AI is pivotal in developing autonomous and decision support systems, exemplified by its role in navigation, guidance, and control algorithms for unmanned aerial vehicles.
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| Reference Paper |
A survey – AI in Aerospace: Present and Future |
| Domain |
Aerospace Engineering |
| Sub-Domain |
Aerospace Engineering |
| PDF Download |
Download / View PDF |
| Get Help |
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