Direct numerical simulations of droplet break-up in turbulence in inertial and viscous regimes

惯性和粘性状态下湍流中液滴破裂的直接数值模拟

• 批准号: 2242512
• 负责人: Luc Deike
• 金额: $ 34.8万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2242512&HistoricalAwards=false
• 关键词: Direct; numerical; simulations; droplet; break

Droplet break-up in complex flows is critical in various environmental and industrial applications, including oil spill mitigation strategies, and the manufacturing of pharmaceuticals and petrochemical products. These problems are characterized by a wide range of scales, from the device and forcing scales to the smallest drops being created, making their modeling challenging and limiting the efficiency of industrial processes. The viscosity of the droplet can vary significantly from one application to another as well as during emulsification processes and can be orders of magnitude larger than the career flow. Understanding the role of the droplet viscosity on the fragmentation dynamics, from the time scale of deformation to the size of the resulting drops being formed remains an active scientific challenge. The present research award will leverage novel computational techniques to resolve complex flows associated with break-up processes, advancing our fundamental knowledge, and informing the development of practical models used in environmental and engineering applications.Direct numerical simulations of the drop break-up processes will be performed, resolving from the smallest scale of the turbulent flow and interfacial feature to the larger scale responsible for initial deformation. The full two-fluids Navier-Stokes equations will be solved, leveraging novel adaptive mesh refinement algorithm to resolve the large range of scales. Large campaigns of simulations will be performed, scanning the physical parameters in order to propose a general theoretical framework describing the role of turbulence, viscosity in the break-up occurrence, time, geometry and mechanisms and the resulting size and number of droplets being produced. These results will then be integrated within population balance models used in environmental and industrial applications. The present award will lead to improved fundamental understanding in break-up of drops in turbulent environment. Through this award, undergraduate and graduate students at Princeton in Engineering and Environmental sciences will be exposed to these critical industrial and environmental challenges that requires research on fundamental multi-phase flows. The use of open-source methods will be promoted through teaching and K-12 outreach activities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在各种环境和工业应用中，包括漏油策略以及制药和石化产品的制造，复杂流中的液滴分解至关重要。这些问题的特征是从设备和强迫量表到创建最小的滴剂，使其建模挑战并限制工业流程的效率。液滴的粘度在一个应用程序到另一种应用以及乳液化过程中可能会有很大的不同，并且可能比职业流量大的数量级。从变形的时间尺度到形成的结果滴剂的大小，了解液滴粘度在碎片动力学上的作用仍然是一个积极的科学挑战。本研究奖将利用新颖的计算技术来解决与分手过程相关的复杂流，推进我们的基本知识并告知在环境和工程应用中使用的实用模型的开发。导向滴分解过程的数值模拟将执行，从而从较小的流量和间质量量表中进行小规模来解决，以使其范围为大规模的最初范围。将解决完整的两流体Navier-Stokes方程，利用新型的自适应网状精炼算法来解决较大的尺度。将进行大量的模拟运动，扫描物理参数，以提出一个一般的理论框架，描述湍流，粘度在分解发生，时间，几何学和机制以及产生的液滴的大小和数量的作用。然后，这些结果将集成到环境和工业应用中使用的人群平衡模型中。目前的奖项将提高在动荡环境中滴落的分解方面的基本理解。通过该奖项，普林斯顿大学工程和环境科学的本科生和研究生将面临这些关键的工业和环境挑战，需要研究基本多相流。开源方法的使用将通过教学和K-12外展活动来促进。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评论标准来评估值得支持的。