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卫健学术沙龙:基于5G+人工智能的心理/精神健康服务与管理体系建设
Gauging spacetime inversions
AI合成化学前沿与战略研讨会暨国家智能化学数据中心启动会
Macro to micro- and nano-scale fluidic engineering for analytical chemistry
报告题目:
Large Eddy Simulation and Detached Eddy Simulation of reacting and nonreacting flows for complex geometries
 报告人:
Franco Magagnato
University of Karlsruhe
报告时间:
2008-05-19 09:30
报告地点:
清华大学东门华业大厦四层 清华大学燃气轮机研究中心会议室
主办单位:
清华大学热能系 燃气轮机研究中心
  简介:

In this seminar the predicting capabilities of the in house developed solver SPARC applying LES and DES for a number of flow fields will be presented. The solver uses a block structured Finite Volume scheme to solve the compressible Navier-Stokes equation with central differences up to 4th order accuracy. Classical subgrid scale models like fixed coefficient and dynamic Smagorinsky models and Monotonically Integrated LES (MILES) and a newly proposed High-passed filtered Eddy viscosity model have been used and compared.

The investigated flows include external flows around cars (Ahmed body and ASMO) and propellers as well as internal flows of turbine blades (VKI blade) and internal combustion engines.

It will be shown that accurate predictions of the above mentioned test cases has been calculated provided that the vortical regions are sufficiently resolved ( up to 70 million points) and that accurate and non-reflecting boundary conditions have been used.

 

报告人简历:

Dr. Franco Magagnato1995年在德国达姆施塔特大学(TU Darmstadt)获博士学位,此后在德国的卡尔斯鲁厄大学(University Karlsruhe)工作,并担任卡尔斯鲁厄大学流体机械研究所计算流体动力学研究小组的主任。其主要研究方向为开发应用于不同领域(如涡轮机、汽车、航空动力学和内燃机等)中的新的物理模型和数值模型。以Dr. Franco Magagnato为主开发的CFD程序SPARC,目前在世界上10多个国家的20多个科研机构(包括MIT、加拿大皇家研究院等)得到了应用和开发。

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