Collaborative Research: A Fundamental and Modeling Study of Cluster-Induced Turbulence in Particle-Laden Flows

协作研究：颗粒流中团簇引起的湍流的基础和建模研究

• 批准号: 1437865
• 负责人: Rodney Fox
• 金额: $ 22.24万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1437865&HistoricalAwards=false
• 关键词: Collaborative; Research; Fundamental; Modeling; Study

The goal of the proposed study is to develop multiphase turbulence models based on the kinetic theory for granular flows and utilizing high fidelity simulations. Areas of application of these flows include engines, industrial furnaces, fluidized beds for fossil and renewable energy conversion, and chemical plants (chemical reactors, cracking units, etc.), all of which are important for the competitiveness of the U.S. industry. The collaborating PIs propose to offer a full implementation of their models and code into commercial (Ansys Fluent) and public (OpenFOAM) platforms, as well as to make their comprehensive database of detailed simulation results available to the research community.Currently available models for multiphase turbulence are often based on phenomenological approaches requiring fine-tuning with experimental data. These models have limited predictive capability, preventing their adoption in industry or their generalization for research purposes. This proposal, however, aims at developing and validating a consistent Reynolds-averaged Navier-Stokes (RANS) model that is grounded on first principles, and, thus, generalizable. The exact RANS equations, as obtained from Kinetic Theory for granular flow, will be integrated to obtain a set of coupled macroscale hydrodynamic equations, which can then be averaged exactly. The terms that need to be approximated in order to close the system of equations will then be obtained with high fidelity Euler-Lagrange mesoscale simulations, already shown to predict accurately turbulent particle-laden flows.This award by the Fluid Dynamics Program of the CBET Division is co-funded by CIF 21 Software Reuse Venture Fund Program of the CISE/ACI Division.

拟议研究的目标是基于颗粒流动力学理论并利用高保真度模拟开发多相湍流模型。这些流动的应用领域包括发动机、工业炉、用于化石和可再生能源转换的流化床以及化工厂（化学反应器、裂化装置等），所有这些都对美国工业的竞争力很重要。 合作的PI建议提供他们的模型和代码到商业（Ansys Fluent）和公共（OpenFOAM）平台的完整实现，以及使他们的详细模拟结果的综合数据库提供给研究社区。目前可用的多相湍流模型通常是基于现象学方法，需要与实验数据进行微调。这些模型具有有限的预测能力，阻止了它们在工业中的采用或用于研究目的的推广。然而，这项建议的目的是开发和验证一个一致的雷诺平均纳维尔-斯托克斯（RANS）模型，该模型基于第一原理，因此是可推广的。从颗粒流的动力学理论得到的精确RANS方程，将被整合，以获得一组耦合的宏观流体动力学方程，然后可以精确地平均。为了关闭方程组而需要近似的项将通过高保真欧拉-拉格朗日中尺度模拟获得，已经证明可以准确预测湍流颗粒流。CBET部门流体动力学计划的这一奖项由CISE/ACI部门的CIF 21软件重用风险基金计划共同资助。