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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 10 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 107
Article Submitted : 13636
Article Published : 6402
Total Authors : 16956
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| Paper Title: | AI-Driven Solutions for Intelligent Design and Fabrication of Aerospace Components in Aeronautics |
| Authors Name: | A JOSHUA ISSAC , K UTHRA DEVI |
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IJRTI_200889
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| Published Paper Id: | IJRTI2502103 |
| Published In: | Volume 10 Issue 2, February-2025 |
| DOI: | |
| Abstract: | Abstract This study aims to explore the application of artificial intelligence in the production of aerospace structures to enhance productivity, accuracy, and innovation in aviation. The idea was to enhance the component performance and reduce the amount of material wasted through the application of machine learning, deep learning, and generative design. Linear regression was used for the prediction of component weight, and Random Forest for the prediction of the possibility of defects. CNNs were used for the analysis of 3D CAD models while RNNs were used for the analysis of real-time manufacturing data. The Generative Design tool and topology optimization of Autodesk advanced the design process to the creation and analysis of new designs. It employed 1000 historical CAD models, 500 simulation datasets, and 2000 sequences of sensor data. AI models were audited and validated and it was ascertained that it played a role in improving the design effectiveness and quality assurance. The results revealed the following benefits; weight loss, material losses, and time used to develop the products. The discussion indicates how AI technologies facilitated improvement in design and real-time problem-solving in aerospace engineering, a step up in the field. This paper demonstrates how AI can be applied to enhance the aerospace component design for performance and sustainability. |
| Keywords: | Artificial Intelligence, Intelligent Design, Aerospace, Aeronautics |
| Cite Article: | "AI-Driven Solutions for Intelligent Design and Fabrication of Aerospace Components in Aeronautics", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 2, page no.b1-b7, February-2025, Available :http://www.ijrti.org/papers/IJRTI2502103.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2502103
Registration ID:200889
Published In: Volume 10 Issue 2, February-2025
DOI (Digital Object Identifier):
Page No: b1-b7 Country: Trichy, Tamil Nadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2502103 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2502103 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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