对于一些纳米流体的物理有效参数计算的不确定性定量化中的Shannon Entropy
Marcin Kamiński1, Rafał Leszek Ossowski1
1Faculty of Civil Engineering, Architecture and Environmental Engineering, Lodz University of Technology, 93-590 Łódź, Poland.
Nanomaterials (Basel, Switzerland)
|February 13, 2025
概括
这项研究使用蒙特卡洛模拟来预测纳米流体的密度和粘度等特性. 它引入了香农,以量化这些物理参数中的不确定性,以提高可靠性.
科学领域:
- 纳米流体和微流体
- 计算物理 计算物理
- 热力学是一种热力学.
背景情况:
- 对热物理性质的准确预测对于纳米流体应用至关重要.
- 现有的决定性模型往往缺乏强大的不确定性量化.
- 纳米粒子体积分数引入了流体性质的固有变化.
研究的目的:
- 为了概率模拟纳米流体的有效物理参数.
- 为了估计关键热物理性质的Shannon.
- 用计算方法分析纳米流体系统中的不确定性.
主要方法:
- 使用基于混合规则和半经验公式的确定性模型.
- 采用蒙特卡洛模拟来随机化决定性模型.
- 处理纳米粒子体积分数作为高斯不确定性源.
主要成果:
- 计算有效密度,导热率,热容量和粘度.
- 量化了这些均参数的Shannon.
- 验证的变异与纳米粒子分数的统计失序.
结论:
- 该研究提供了一种用于纳米流体不确定性分析的新方法.
- 概率模拟提高了物理参数预测的可靠性.
- 这些发现为精密应用的纳米流体和微流体研究带来了进展.
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