This article highlights the detrimental impact of vehicle emissions on the environment and explores using new technologies and alternative fuels to reduce this impact. One such technology is thermal barrier-coated pistons, which decrease heat absorption by the engine and reduce emissions. Ethanol is also explored as a cleaner-burning alternative to traditional gasoline. Experimental studies were conducted to investigate the effects of coating and fuel blends on engine performance and emissions. Artificial neural networks were also used to predict emissions. Results showed that both the coating and ethanol-gasoline mixtures led to a decrease in emissions. The experimental study revealed that the coating caused HC emissions to decrease by 8% and NOx emissions to rise by 6%. In the case of using a 10% ethanol gasoline mixture in the coated engine, a 19% decrease in HC emissions and a 13% decrease in NOx emissions in 20% ethanol gasoline mixtures were determined compared to the uncoated piston. The study also examined thermal analysis results and compared the accuracy of different artificial neural network algorithms in predicting emissions. The development of alternative fuels and technologies is essential to reduce the environmental impact of vehicle emissions for a sustainable future.

中文翻译：

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探索涂料和乙醇混合燃料对减排的影响：实验研究和神经网络方法

本文强调了车辆排放对环境的不利影响，并探讨了使用新技术和替代燃料来减少这种影响。其中一项技术是热障涂层活塞，它可以减少发动机的吸热并减少排放。乙醇也被探索作为传统汽油的更清洁燃烧替代品。进行实验研究是为了调查涂层和燃料混合物对发动机性能和排放的影响。人工神经网络也被用来预测排放量。结果表明，涂​​料和乙醇汽油混合物都能减少排放。实验研究表明，该涂层使HC排放量减少8%，NOx排放量增加6%。在涂层发动机中使用 10% 乙醇汽油混合物的情况下，与未涂层活塞相比，20% 乙醇汽油混合物的 HC 排放量减少了 19%，NOx 排放量减少了 13%。该研究还检查了热分析结果，并比较了不同人工神经网络算法在预测排放方面的准确性。替代燃料和技术的开发对于减少车辆排放对环境的影响以实现可持续的未来至关重要。