使用神经网络在内燃机中研究TiO2增强的纳米流体
Saban Pusat1,2, Yasin Karagöz3, Azade Attar4
1Energy Application and Research Center, Yildiz Technical University, Istanbul, Türkiye. spusat@yildiz.edu.tr.
Scientific reports
|August 20, 2024
概括
将纳米颗粒添加到发动机冷却液中可以提高传热性能. 一个人工神经网络 (ANN) 模型确定了最佳的0.26%TiO2纳米粒子比率,显示了显著的性能改善和不到4年的回报期.
科学领域:
- 热力学是一种热力学.
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
背景情况:
- 内燃机依赖于有效的冷却系统.
- 基于纳米粒子的冷却剂提供了改善热性能的潜力.
- 优化冷却液成分对于发动机效率至关重要.
研究的目的:
- 研究纳米粒子添加对发动机冷却液热传递的影响.
- 为了确定最佳的纳米粒子度以提高性能.
- 进行纳米粒子杂冷却剂的技术经济分析.
主要方法:
- 发动机冷却液制备与不同的纳米颗粒度 (0-0.6%).
- 使用SEM和XRD进行纳米颗粒的表征.
- 在不同发动机负载 (2.5-10千瓦) 下对冷却液进行实验测试.
- 为优化开发一个人工神经网络 (ANN) 模型.
- 技术经济分析,包括回报期和现金价值.
主要成果:
- 在0.6%的纳米粒子添加时,观察到最大的热传递改善率为40.8%.
- 该ANN模型预测了0.26%的最佳TiO2纳米颗粒度.
- 技术经济分析表明,优化的冷却液的回报期不到4年.
结论:
- 纳米粒子添加冷却剂显著增强内燃机中的热传递.
- 结合ANN建模和实验数据,为冷却剂优化提供了一种有效的方法.
- 在发动机冷却液中使用TiO2纳米粒子在技术上是可行的,在经济上也是可行的.
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