Artificial Intelligence Applications in Aeronautical and Aerospace Engineering
by K. Sathish Kumar, R. Naren Shankar
7Revolutionizing Aerospace Quality Control: Harnessing AI for Defect Detection
Naveen R.1, Rakesh Kumar C.2*, Kowsalya3, Fadhilah Mohd Sakri4 and Prasad G.5
1 Aeronautical & Aerospace Engineering, KCG College of Technology, Chennai, India
2 Aeronautical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
3 Mathematics, School of Advanced Sciences, VIT University, Chennai, India
4 Department of Aerospace, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia
5 Department of Aerospace Engineering, Chandigarh University, Punjab, India
Abstract
In the realm of aerospace, the incorporation of artificial intelligence (AI) for defect detection has instigated a revolutionary transformation in safeguarding the integrity of vital components. This chapter delves into the pioneering impact of AI-driven methodologies on defect detection. Leveraging sophisticated machine learning algorithms, computer vision systems, and pattern recognition techniques, AI enables the precise identification and categorization of defects, including cracks, corrosion, and irregularities in aerospace materials and structures. Through the presentation of case studies and tangible implementations, this chapter not only emphasizes the practical application of AI-powered defect detection but also provides qualitative evidence showcasing its ability to heighten inspection efficiency, mitigate human errors, and elevate the overall safety and reliability of aerospace systems. ...
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