AI Applications in High-Speed Aerospace Propulsion Systems


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The aerospace industry is undergoing a transformative shift with the integration of artificial intelligence technologies in various aspects of propulsion systems. As the demand for more efficient, reliable, and sustainable propulsion solutions grows, AI is emerging as a key enabler in revolutionizing the design, optimization, and control of aerospace propulsion systems. This Special Issue aims to showcase cutting-edge research and developments in AI-driven solutions for high-speed aerospace propulsion systems, addressing the critical challenges and opportunities in this rapidly evolving field. The intersection of AI and aerospace propulsion holds immense potential for improving engine performance, reducing emissions, and enhancing overall system efficiency. Recent studies highlight the significant impact of machine learning models on fundamental aspects of propulsion systems, including fluid dynamics, aerodynamics, acoustics, combustion, and structural health monitoring. The aerospace community recognizes the pivotal role of AI in shaping the future of propulsion technologies.

The articles in this issue cover a wide range of topics, from AI-optimized engine design to real-time adaptive control using AI, reflecting the breadth and depth of advancements in this domain. The utilization of machine learning models helps engines operate at optimized levels, leading to the formation of the least emissions. Additionally, AI techniques facilitate the manufacturing of parts from recyclable materials without compromising the structural integrity of the system, further promoting sustainability.

This special issue serves as a platform for researchers, engineers, and industry professionals to exchange knowledge, share innovative ideas, and collaborate on the development of AI-driven solutions for high-speed aerospace propulsion systems. By bringing together cutting-edge research and practical applications, this issue aims to accelerate the adoption of AI technologies in the aerospace industry, ultimately contributing to a more sustainable and efficient future of transportation.

List of topic areas

  • Optimized engine design and improving engine performance using machine learning and AI algorithms
  • AI-driven autonomous control systems in high-speed aerospace propulsion system 
  • Application of AI techniques for optimizing fuel consumption
  • Real-time Adaptive Control using AI for enabling optimal performance under varying operating conditions.
  • Applications of AI on thermal management for Efficient heat dissipation and preventing overheating during extreme conditions.
  • Fault Detection and Diagnosis with AI.
  • Neural Network-based Control Algorithms: Improving manoeuvrability and efficiency.
  • The sustainable development goals and aerospace engineering through artificial intelligence. 

Guest Editors

Nithya Subramani,
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India.
[email protected] & [email protected]

Raja S,
University of California, Los Angeles (UCLA), California, USA.
[email protected]

Professor and Head, Department of Aeronautical Engineering, KCG College of Technology, India.
[email protected] and [email protected]

Dr. Femilda Josephin,
Assistant Professor, Department of computer science Engineering, Istinye University, Turkey.
[email protected]

Submissions Information

Submissions are made using ScholarOne Manuscripts. Registration and access are available by clicking the button below.

Submit your paper here!
Author guidelines must be strictly followed.
Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to “Please select the issue you are submitting to”. 
Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.


Key deadlines

Opening date for manuscripts submissions: 1 July 2024
Closing date for manuscripts submission: 31 December 2024