By Muhammad Usman, Muhammad Kashif Jamil, Waqar Muhammad Ashraf, Syed Saqib, Touqeer Ahmad, Yasser Fouad, Husnain Raza, Umar Ashfaq, Aamir Pervaiz
October 2023 | 1-15 pages
Abstract:
With the escalating requirement for global sustainable energy solutions and the complexities linked with the complete transition to new technologies, internal combustion engines (ICEs) powered with biofuels like ethanol are gaining significance over time. However, problems linked to the performance and emissions of such ICEs necessitate accurate prediction and optimization. The study employed the integration of artificial neural networks (ANN) and multi-level historical design of response surface methodology (RSM) to address these challenges in alignment with the Sustainable Development Goals (SDGs).
