Cognitive tools for enhancing sustainability in liquid fuel and internal combustion engine development
Year: 2024
Type: article
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.
Source: Cognitive Sustainability
DOI: 10.55343/cogsust.135
Author: Olga Orynycz
Institution: Bialystok University of Technology
Language: English
Subfield: Fluid Flow and Transfer Processes
Field: Chemical Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407522414
