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关于石墨烯氧化物对高酒精混合物的作用的实验研究和使用ANN方法优化注射时间的实验研究
Arivarasan Natarajan1, Annamalai Kandasamy1, Elumalai Perumal Venkatesan2
1Department of Automobile Engineering, Madras Institute of Technology Campus, Anna University, Chennai 600044, Tamil Nadu, India.
石墨烯氧化物 (GO) 纳米粒子增强柴油-醇混合物,提高发动机性能和减少排放. 一个人工神经网络 (ANN) 模型优化了注射时间,提高了1%的效率,并帮助可持续发展的燃料开发.
科学领域:
- 工程 工程师 工程师 工程师
- 材料科学 材料科学 材料科学
- 环境科学 环境科学
背景情况:
- 化石燃料价格上和环境问题促使人们寻找替代柴油燃料.
- 与传统燃料相比,像醇这样的酒精提供了诸如提高效率和减少排放等好处.
- 石墨烯氧化物 (GO) 纳米颗粒显示出作为燃料添加剂的潜力,以提高燃料性能.
研究的目的:
- 使用GO纳米粒子提高柴油-醇混合物的性能和燃烧特性.
- 为了减少使用这些替代燃料混合物的柴油发动机的排放.
- 开发一个数据驱动的模型来预测最佳的发动机性能和稳定性.
主要方法:
- 制备柴油-醇混合物 (D70OCT30,D60OCT40,D50OCT50) 用不同的GO度 (40,60,80 ppm).
- 对单柴油发动机的性能,燃烧和排放特性进行分析.
- 开发和验证人工神经网络 (ANN) 模型,以预测最佳注射时间.
主要成果:
- D70OCT30GO0.006混合物表现出优越的性能和燃烧特性.
- 该ANN模型准确预测了最佳的注射时间,提高了1%的发动机效率.
- 添加GO显著改善了柴油-醇混合物的物理和化学特性.
结论:
- 石墨烯氧化物是一种有效的添加剂,可以改善柴油-醇燃料混合物.
- 开发的ANN模型为优化发动机参数和减少排放提供了一种可靠的方法.
- 这些发现有助于减轻与石油依赖和环境污染相关的挑战.
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