Cooling System Design with E-NTU Method for Accurate Radiator Sizing

I developed a novel radiator sizing methodology for my Formula Student team, replacing guesswork with a structured, physics-based approach. Using the effectiveness-NTU (E-NTU) model, I accurately predicted heat rejection based on air and water properties, flow rates, and radiator specifications. This innovation provides a foundation for future system optimization, potentially reducing radiator weight by up to 30% and saving valuable space.

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This project enhanced my skills in MATLAB programming, heat transfer principles, and data analysis. Motivated by the need for a precise and efficient design process, I created a model inspired by Carl et al. (2012) to improve the team's thermal management strategy. Future work will focus on validating the model experimentally and correlating real-time data with theoretical predictions.

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Link to MATLAB CODE