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Surrogate-Augmented CFD Solver for Fast Aerodynamic Evaluation

This B.Tech Aerospace / Aeronautical Engineering project is based on the recent research direction ‘Surrogate-Augmented CFD Solver for Fast Aerodynamic Evaluation’. The project focuses on applying artificial intelligence, machine learning, deep learning,…

CFD Projects

Surrogate-Augmented CFD Solver for Fast Aerodynamic Evaluation — Project Overview

Project Overview This B.Tech Aerospace / Aeronautical Engineering project is based on the recent research direction 'Surrogate-Augmented CFD Solver for Fast Aerodynamic Evaluation'. The project focuses on applying artificial intelligence, machine learning, deep learning, computer vision, reinforcement learning, surrogate modelling, or RAG-style intelligent assistance to the CFD Projects area. Students can use the linked 2023-onward research paper/source as the academic base, then convert it into an implementation-focused final-year project with a simplified dataset, simulation model, Python workflow, dashboard, or prototype demonstration.
Research Paper Title Surrogate-Augmented CFD Solver for Fast Aerodynamic Evaluation
Research Paper / PDF Link Open Paper / PDF
Year 2026
Project Area CFD Projects
Project Type Interactive CFD Surrogate
Required Tools / Software Python, PyTorch/TensorFlow, NumPy, OpenFOAM/Ansys CFD optional, ParaView, Streamlit
Main Features / Working Principle Create an interactive CFD surrogate demonstration for fast design exploration
Expected Output A web app that predicts and compares aerodynamic outputs quickly
Possible Add-ons Add user-uploaded geometry and report export
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This B.Tech aerospace project resource helps students connect a recent AI-based research direction with a practical implementation plan, tools, expected output, and possible extensions.

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