A data-driven framework was developed to predict and optimize the pressure-surface film cooling effectiveness of the GE-EEE first-stage turbine using deep learning.
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Updated
Apr 15, 2024 - Python
A data-driven framework was developed to predict and optimize the pressure-surface film cooling effectiveness of the GE-EEE first-stage turbine using deep learning.
ASE2306-Capstone Project [2019/20 T3] - Aircraft Engine Lifetime Prediction with Machine Learning
This project was based on the book Fundamentals of gas turbines made by William W. Bathie. This project was the first Python program I made so it has a very novice way of programming.
My Zettelkasten univerisity notes on computational fluid dynamics, aircraft propulsion systems, and aerodynamics.
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