使用新型智能框架优化基于MXene石墨烯的液体用于太阳能转换和储存
Mohamed Bechir Ben Hamida1, Ali Basem2, Ala Eldin A Awouda3
1Engineering Sciences Research Center (ESRC), Deanship of Scientific Research, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
Scientific reports
|August 28, 2025
概括
优化石墨烯/MXene纳米流体用于太阳能现在更有效. 混合框架精确地提高了导热率和动态粘度,降低了太阳能应用的成本.
科学领域:
- 材料科学
- 纳米技术
- 可再生能源
背景情况:
- 基于石墨烯/MXene的液体为太阳能系统提供了潜力.
- 优化它们的热物理特性是复杂的.
- 提高热导率 (TC) 和动态粘度 (DV) 是至关重要的.
研究的目的:
- 为优化石墨烯/MXene纳米流体特性开发混合框架.
- 提高太阳能应用的热导率 (TC) 和动态粘度 (DV).
- 提供一个具有成本效益和精确的方法.
主要方法:
- 用于预测建模的响应表面方法 (RSM).
- 启发式和元启发式优化算法 (EHC,NSGA-II,MOALO).
- 决策技术 (可取性函数,VIKOR)
主要成果:
- RSM模型显示高准确度 (R2> 0.998).
- 确定最佳条件:~60°C,1.5-2%重量MF,MXene比率为0.47-0.5.
- 决策分析显示了基于重量分配的TC/DV权衡.
结论:
- 混合框架有效优化纳米流体的性能.
- 最佳的MXene比率取决于质量和温度.
- 这种方法可以降低太阳能应用的计算和实验室成本.
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