CIRA Icing Wind Tunnel Facility
CIRA Icing Wind Tunnel Facility is a B.Tech project topic for Aerospace / Aeronautical Engineering. Explore the IEEE-style abstract, reference paper,...
Reference Paper: CIRA Icing Wind Tunnel Facility
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Aerodynamics Projects
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Aerodynamics Projects Project Topics
Macroethics in Aerospace Engineering: Implementing Ethics Lessons into Undergraduate Courses and Analyzing Student Perceptions of Issues within the Discipline
Macroethics Aerospace Engineering Implementing Ethics is a B.Tech project topic for Aerospace / Aeronautical Engineering. Explore the IEEE-style...
Reference Paper: Macroethics in Aerospace Engineering: Implementing Ethics Lessons into Undergraduate Courses and Analyzing Student Perceptions of Issues within the Discipline
RGBlimp: Robotic Gliding Blimp – Design, Modeling, Development, and Aerodynamics Analysis
RGBlimp Robotic Gliding Blimp - is a B.Tech project topic for Aerospace / Aeronautical Engineering. Explore the IEEE-style abstract, reference paper,...
Reference Paper: RGBlimp: Robotic Gliding Blimp - Design, Modeling, Development, and Aerodynamics Analysis
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Airfoil aerodynamic performance prediction using machine learning algorithms
This B.Tech Aerospace / Aeronautical Engineering project is based on the recent research direction 'Airfoil aerodynamic performance prediction using machine learning algorithms'. The project focuses on applying artificial intelligence, machine learning, deep…
Reference Paper: Airfoil aerodynamic performance prediction using machine learning algorithms
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Machine Learning Prediction of Airfoil Aerodynamic Performance
This B.Tech Aerospace / Aeronautical Engineering project is based on the recent research direction 'Machine Learning Prediction of Airfoil Aerodynamic Performance'. The project focuses on applying artificial intelligence, machine learning, deep learning,…
Reference Paper: Machine Learning Prediction of Airfoil Aerodynamic Performance
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NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning
This B.Tech Aerospace / Aeronautical Engineering project is based on the recent research direction 'NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning'. The project focuses on applying artificial intelligence, machine…
Reference Paper: NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning
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A Robust Aerodynamic Design Optimization Methodology for UAV Airfoils Using Stochastic Kriging Surrogate Model
This B.Tech Aerospace / Aeronautical Engineering project is based on the recent research direction 'A Robust Aerodynamic Design Optimization Methodology for UAV Airfoils Using Stochastic Kriging Surrogate Model'. The project focuses on…
Reference Paper: A Robust Aerodynamic Design Optimization Methodology for UAV Airfoils Using Stochastic Kriging Surrogate Model
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Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning
This B.Tech Aerospace / Aeronautical Engineering project is based on the recent research direction 'Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning'. The project focuses on applying artificial intelligence, machine…
Reference Paper: Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning
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A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics
This B.Tech Aerospace / Aeronautical Engineering project is based on the recent research direction 'A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics'. The project focuses on applying…
Reference Paper: A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics
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DeepCFD: Efficient near-ground airfoil lift coefficient prediction using deep neural networks
This B.Tech Aerospace / Aeronautical Engineering project is based on the recent research direction 'DeepCFD: Efficient near-ground airfoil lift coefficient prediction using deep neural networks'. The project focuses on applying artificial intelligence,…
Reference Paper: DeepCFD: Efficient near-ground airfoil lift coefficient prediction using deep neural networks
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