Cognitive tools for enhancing sustainability in liquid fuel and internal combustion engine development
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Abstract
This paper reviews the literature on cognitive tools applied in developing internal combustion engines (ICE) and liquid fuels, focusing on modeling, simulation, data collection, and AI applications. Methods include 0D and 1D models, 3D-CFD (Computational Fluid Dynamics) simulations, real-world calculations, advanced data acquisition, and AI frameworks. Results indicate that these tools enhance development efficiency, reduce environmental impact, and promote sustainable technologies. The conclusion highlights the transformative potential of cognitive tools for sustainable mobility solutions.
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