This book is a comprehensive guide for anyone in the aeronautical and aerospace fields who wants to understand and leverage the transformative power of artificial intelligence to enhance safety, optimize performance, and drive innovation. The field of aeronautical and aerospace engineering is on the brink of a transformative revolution driven by rapid advancements in artificial intelligence (AI). This book analyzes AI's multifaceted impact on the industry, exploring AI's potential to address complex challenges, optimize processes, and push technological boundaries with a focus on enhancing…mehr
This book is a comprehensive guide for anyone in the aeronautical and aerospace fields who wants to understand and leverage the transformative power of artificial intelligence to enhance safety, optimize performance, and drive innovation. The field of aeronautical and aerospace engineering is on the brink of a transformative revolution driven by rapid advancements in artificial intelligence (AI). This book analyzes AI's multifaceted impact on the industry, exploring AI's potential to address complex challenges, optimize processes, and push technological boundaries with a focus on enhancing safety, security, innovation, and performance. By blending technical insights with practical applications, it provides readers with a roadmap for harnessing AI to solve complex challenges and improve efficiency in aeronautics. Ideal for those seeking a deeper understanding of AI's role in aeronautical and aerospace engineering, this book offers real-world applications, case studies, and expert insights, making it a valuable resource for anyone aiming to stay at the forefront of this rapidly evolving field. Readers will find this book: * Examines AI's transformative role in aerospace and aeronautics, from enhancing safety to driving innovation and optimizing performance; * Highlights real-time applications, addressing AI's role in boosting operational efficiency and safety in the aerospace and aeronautical industries; * Offers insights into emerging AI technologies shaping the future of aerospace and aeronautical systems; * Features real-world case studies on AI applications in autonomous navigation, predictive maintenance of aircraft, and air traffic management. Audience Aeronautical and aerospace engineers, AI researchers, students, and industry professionals seeking to understand and apply AI solutions in areas like safety, security, and performance optimization.
K. Sathish Kumar, PhD is a professor in the Department of Aeronautical Engineering at the Nehru Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India with over 15 years of research and teaching experience. He has authored numerous articles in international journals and serves as a mentor to several start-ups, fostering innovation in aerospace. His research focuses on jet mixing characteristics, nozzle design, and supersonic flow control. R. Naren Shankar, PhD is a professor in the Department of Aeronautical Engineering at Vel Tech Rangarajan Dr. Sagunthala Research and Development Institute of Science and Technology, India. He has published one book and 32 research articles, and has filed three patents. His research interests encompass high-speed jets, aerodynamics, propulsion, and unconventional energy engineering.
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Preface xvii Part 1: Safety and Security 1 1 Artificial Intelligence Based Habitual and Average DoS Attack Detection in Avionics and Necessity Estimators in Wireless Ad Hoc and Sensor Networks 3 C. R. Bharathi and D. Mahammad Rafi 2 Artificial Intelligence Aerospace Based Penetrating Denial of Service Attack in Wireless Sensor Network 19 C. R. Bharathi and D. Mahammad Rafi 3 Application of Artificial Intelligence and Machine Learning in Computational Fluid Dynamics 37 G. Gowtham, S. Nithya and R. Sundharesan 4 Deep Learning Based Secure Predictive Maintenance Framework for Industrial Maintenance Using Autonomous Drones 61 Sharanya S., Karthikeyan S., Prabhakar E. and Manirao Ramachandrarao 5 Role of Artificial Intelligence in the Life Cycle of Aircraft 79 Karthikeyan S., Sharanya S., Manirao Ramachandrarao and N. Dilip Raja 6 Artificial Intelligence for Aeronautical and Aerospace Applications Using Fuzzy Logic Controller 99 Anumula Swarnalatha and R. Asad Ahmed 7 Revolutionizing Aerospace Quality Control: Harnessing AI for Defect Detection 109 Naveen R., Rakesh Kumar C., Kowsalya, Fadhilah Mohd Sakri and Prasad G. 8 Utilizing AI Techniques for Detecting Damage in Aerospace Applications 133 Rakesh Kumar C., Naveen R., Kowsalya, Fadhilah Mohd Sakri and Prasath M.S. 9 Sense and Avoid System for Navigation of Micro Aerial Vehicle in Cluttered Environments 151 Anbarasu B., Anitha G., Balaji G., Shabahat Hasnain Qamar, Sathish Kumar K., Naren Shankar R. and Santhosh Kumar G. Part 2: Technological Advancements and Innovations 169 10 A Review on Mixed Reality and Artificial Intelligence for Smart Aviation Sector: Current Trends, Opportunities, and Challenges 171 G. Jegadeeswari, B. Kirubadurai, Jaganraj R. and Vinoth Thangarasu 11 A Comprehensive Assessment of Unmanned Aerial Vehicles' Fuel Cell Electric Propulsion Systems 189 Kirubadurai B., Jaganraj R., Jegadeeswari G. and Vinoth Thangarasu 12 AI-Powered Prediction of Centerline Total Pressure Variations in Coaxial Nozzles by Varying the Lip Thickness 211 R. Naren Shankar, Irish Angelin S., Bakiya Ambikapathy, K. Sathish Kumar and Parvathy Rajendran 13 Enhancing Jet Noise Reduction: AI-Powered Predictions of Core Length and Total Pressure Variations in Coaxial Nozzles 225 R. Naren Shankar, Irish Angelin S., Bakiya Ambikapathy, K. Sathish Kumar and Parvathy Rajendran 14 Application of Artificial Intelligence and Machine Learning in Composite Material Design 241 G. Gowtham, S. Nithya and J. V. Saiprasanna Kumar 15 Design Optimization Study of UAV Propeller Using Aeroacoustics 265 Prem Kumar P.S., Kirthika S., Kishore Kumar S. and Hariharasubramaniyan A. 16 Autonomous Mapping and AI-Based Navigation Using Deep Learning, SLAM, and Optical Flow for Micro Aerial Vehicle 277 B. Anbarasu, S. Seralathan and A. Muthuram Part 3: Performance And Efficiency Optimization 303 17 The Essential Phases in Aircraft Component Manufacturing Using Artificial Intelligence 305 Boopathy G., Rajamurugu N., Siva Prakasam P. and Sai Prasanna Kumar J.V. 18 Artificial Intelligence in Failure Prediction of Aircraft Components and Inventory Leveraging 333 Vinu Ramadhas, Krishnadhas Subash and K. Vijayaraja 19 Performance Analysis and Optimization of Eppler-398 Unmanned Aerial Vehicle Using Machine Learning Techniques 349 R. Manikandan, A. Parthiban, T. Gopalakrishnan and Mandeep Singh 20 Navigation of Unconventional Drones - Autonomous Ornithopter 391 Syam Narayanan S., P. Rajalaksmi, Yogesh Gangurde, Akshith Mysa and Satyajit Movidi Conclusion 416 References 416 Index 419
Preface xvii Part 1: Safety and Security 1 1 Artificial Intelligence Based Habitual and Average DoS Attack Detection in Avionics and Necessity Estimators in Wireless Ad Hoc and Sensor Networks 3 C. R. Bharathi and D. Mahammad Rafi 2 Artificial Intelligence Aerospace Based Penetrating Denial of Service Attack in Wireless Sensor Network 19 C. R. Bharathi and D. Mahammad Rafi 3 Application of Artificial Intelligence and Machine Learning in Computational Fluid Dynamics 37 G. Gowtham, S. Nithya and R. Sundharesan 4 Deep Learning Based Secure Predictive Maintenance Framework for Industrial Maintenance Using Autonomous Drones 61 Sharanya S., Karthikeyan S., Prabhakar E. and Manirao Ramachandrarao 5 Role of Artificial Intelligence in the Life Cycle of Aircraft 79 Karthikeyan S., Sharanya S., Manirao Ramachandrarao and N. Dilip Raja 6 Artificial Intelligence for Aeronautical and Aerospace Applications Using Fuzzy Logic Controller 99 Anumula Swarnalatha and R. Asad Ahmed 7 Revolutionizing Aerospace Quality Control: Harnessing AI for Defect Detection 109 Naveen R., Rakesh Kumar C., Kowsalya, Fadhilah Mohd Sakri and Prasad G. 8 Utilizing AI Techniques for Detecting Damage in Aerospace Applications 133 Rakesh Kumar C., Naveen R., Kowsalya, Fadhilah Mohd Sakri and Prasath M.S. 9 Sense and Avoid System for Navigation of Micro Aerial Vehicle in Cluttered Environments 151 Anbarasu B., Anitha G., Balaji G., Shabahat Hasnain Qamar, Sathish Kumar K., Naren Shankar R. and Santhosh Kumar G. Part 2: Technological Advancements and Innovations 169 10 A Review on Mixed Reality and Artificial Intelligence for Smart Aviation Sector: Current Trends, Opportunities, and Challenges 171 G. Jegadeeswari, B. Kirubadurai, Jaganraj R. and Vinoth Thangarasu 11 A Comprehensive Assessment of Unmanned Aerial Vehicles' Fuel Cell Electric Propulsion Systems 189 Kirubadurai B., Jaganraj R., Jegadeeswari G. and Vinoth Thangarasu 12 AI-Powered Prediction of Centerline Total Pressure Variations in Coaxial Nozzles by Varying the Lip Thickness 211 R. Naren Shankar, Irish Angelin S., Bakiya Ambikapathy, K. Sathish Kumar and Parvathy Rajendran 13 Enhancing Jet Noise Reduction: AI-Powered Predictions of Core Length and Total Pressure Variations in Coaxial Nozzles 225 R. Naren Shankar, Irish Angelin S., Bakiya Ambikapathy, K. Sathish Kumar and Parvathy Rajendran 14 Application of Artificial Intelligence and Machine Learning in Composite Material Design 241 G. Gowtham, S. Nithya and J. V. Saiprasanna Kumar 15 Design Optimization Study of UAV Propeller Using Aeroacoustics 265 Prem Kumar P.S., Kirthika S., Kishore Kumar S. and Hariharasubramaniyan A. 16 Autonomous Mapping and AI-Based Navigation Using Deep Learning, SLAM, and Optical Flow for Micro Aerial Vehicle 277 B. Anbarasu, S. Seralathan and A. Muthuram Part 3: Performance And Efficiency Optimization 303 17 The Essential Phases in Aircraft Component Manufacturing Using Artificial Intelligence 305 Boopathy G., Rajamurugu N., Siva Prakasam P. and Sai Prasanna Kumar J.V. 18 Artificial Intelligence in Failure Prediction of Aircraft Components and Inventory Leveraging 333 Vinu Ramadhas, Krishnadhas Subash and K. Vijayaraja 19 Performance Analysis and Optimization of Eppler-398 Unmanned Aerial Vehicle Using Machine Learning Techniques 349 R. Manikandan, A. Parthiban, T. Gopalakrishnan and Mandeep Singh 20 Navigation of Unconventional Drones - Autonomous Ornithopter 391 Syam Narayanan S., P. Rajalaksmi, Yogesh Gangurde, Akshith Mysa and Satyajit Movidi Conclusion 416 References 416 Index 419
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