用 (SiC-Co3O4) /二体性纳米滑剂涂层的三角翼装置的性能,使用人工智能驱动的方法灵感来自对流和辐射导电
Badreddine Ayadi1, Mohamed Bechir Ben Hamida2, Adnan3
1Department of Mechanical Engineering, College of Engineering, University of Ha'il, 81451, Ha'il City, Saudi Arabia.
Scientific reports
|October 6, 2025
概括
这项研究分析了使用混合纳米滑剂增强热传输的三角. 结果显示,辐射,加热源和多孔性对性能产生积极影响,优化了冷却效率.
科学领域:
- 热力学和热转移热力学
- 材料科学 材料科学 材料科学
- 计算智能是一种计算智能.
背景情况:
- 三角对于换热器,电子冷却器和散热器至关重要.
- 纳米滑剂提供了一种创新的方法来提高的性能.
- 混合纳米滑剂,如SiC-Co3O4 /双层油,具有增强的热性能.
研究的目的:
- 为了分析涂有SiC-Co3O4/二氧化油混合纳米滑剂的三角的热性能.
- 调查辐射,对流导,多孔性和加热源对性能的影响.
- 开发和验证一个用于预测热传输特性的模型.
主要方法:
- 使用包含混合纳米滑剂特性的能量方程进行配方.
- 基于人工智能 (AI) 的 Levenberg-Marquardt反向传播 (LMBP) 计划的实施.
- 通过错误组图,函数拟合,回归分析和检查验证AI模型.
主要成果:
- 增加传导参数可以有效降低设备的温度.
- 通过增加加热源和Peclet数来实现最佳的传热.
- 三角上的表面多孔性对于设备冷却具有优势.
结论:
- 混合纳米滑剂与人工智能相结合,显著增强三角中的热传输.
- 辐射,加热源和多孔度是优化热性能的关键参数.
- 开发的AI模型为分析和改进基于的冷却系统提供了可靠的工具.
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