通过模拟和图像识别技术预测干烟叶异质接口的动态吸附行为
Haowei Ma1, Zhiqin Jiang1, Chunbo Yuan2
1Zhejiang Provincial Key Laboratory of Advanced Chemical Engineering Manufacture Technology, College of Chemical and Biochemical Engineering, Zhejiang University, Hangzhou 310027, China.
Langmuir : the ACS journal of surfaces and colloids
|August 28, 2024
概括
这项研究使用机器学习和高速成像来分析液体如何与烟草表面相互作用. 研究结果揭示了影响湿和蒸发的关键因素,以改善工业过程和产品质量.
科学领域:
- 材料科学 材料科学 材料科学
- 流体动力学 流体动力学
- 计算建模 计算建模
背景情况:
- 烟草加工涉及喷液体,这对于工业应用和产品质量至关重要.
- 烟草的多孔,纤维的性质为界面水传输带来了复杂的挑战.
研究的目的:
- 研究烟草表面的滴滴动态和湿过程.
- 为了模拟烟草表面结构,并模拟液体透.
- 开发用于选喷雾添加剂的方法.
主要方法:
- 利用机器学习和图像识别来提取烟草表面的结构参数.
- 使用高速摄像机在现场观察滴水撞击和传播.
- 结合实验研究和有限元模拟来分析湿和蒸发.
- 开发了一种生物烟草层模型,用于透度测量.
主要成果:
- 烟草表面的构建细胞结构模型.
- 确定受表面微观结构影响的竞争性湿和蒸发动态.
- 基于烟草毛孔大小分布的模拟连续滴滴透.
- 建立了一种选喷雾剂量透剂的方法.
结论:
- 提供了关于多孔纤维材料湿化的新见解.
- 突出了微观结构在湿过程和添加剂开发中的重要性.
- 为优化烟草制造中的液体应用提供了基础.
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