![]() ![]() The simplified computer model geometry was high. With respect to the measured values, the predictions of lift obtained from For the full car simulations, comparisons were made with on track measured For the simplied wing validation test cases, a relatively good agreementīetween aerodynamic performance values obtained from experiments and simulations Numerical discretization errors for the car simulations, a grid convergence study was alsoĬonducted. With experimental reference cases were conducted. To assess the credibility of the closure models investigated, comparisons The work focused on a computational fuid dynamics evaluation of theĪerodynamic effects predicted for the car moving through relatively sharp corners ofĬonstant curvature. This is why we emphasize in this course both the accuracy and the efficiency of simulations.In this thesis work an investigation of the aerodynamics of a Fomula Student race car In this global and highly competitive world, it is important not only to obtain good results from the simulation, but also to obtain them in a timely manner - before the competitors do so. The more you know about the flow physics, what CFD can and what it cannot do, and how to get most out of CFD in an application, the greater is your competitive advantage. However, it is you, the engineer who is driving these tools, who makes the difference between better and worse. Other new features like optimization methods and artificial intelligence are also becoming commonplace. Examples are repair of geometry in CAD-models and grid generation. CFD software is becoming more and more user-friendly with many tasks being nowadays performed fully automatically, while 10 years ago engineers were spending days or weeks to perform them. The key issue is to know how to estimate them and to ensure that they are not spoiling the results beyond an acceptable limit. Remember: the results of numerical simulations are only approximate solutions of the governing equations - they always contain iteration, discretization, and modeling errors. You will learn to distinguish inviscid, laminar and turbulent flow which physics models are most suitable for which kind of flow where the computational grid should be locally refined how to speed up the simulations, and how to estimate discretization and modeling errors. These are the building blocks of most practical flow and heat transfer problems. We decided to concentrate first on phenomena like boundary layers, shear layers, flow separation and recirculation, horseshoe vortex, tip vortex, Magnus effect, turbulence, natural convection, forced convection, and conjugate heat transfer. This course is too short to cover all aspects of applied CFD. Getting familiar with challenges in simulations of these generic flows and their analysis will help you to recognize where in engineering applications similar phenomena may occur and to choose the right simulation approach. For example, diffusors, nozzles, circular cylinder, or an obstacle on a wall, are generic examples of flow situations found in many real-life applications. The flow test cases that we shall deal with were selected because they are suitable to explain the topics of this course. I will try in this course to teach you how to use the knowledge of basic flow phenomena and the basic CFD principles to design good computational grids, to select correct boundary conditions and physics models, and to setup optimal control parameters to obtain quality solutions efficiently, straight away. The aim of this course is to create a bridge between courses on theoretical fluid mechanics, where you learn the flow physics and the derivation of the Navier Stokes equations, and courses on CFD where you learn how one can solve those equations on computers using numerical methods. I have used exclusively Simcenter STAR-CCM+ software from Siemens to produce all the material for this course and I can warmly recommend this software to anyone who has not yet decided which CFD tool to use, but what you will learn in this course, will be useful to you, whichever commercial or public CFD software you may choose to use. If that is what you expected, you may stop watching the video now. It is not meant to teach you how to use a particular CFD software. I want to first explain to you what this course is not about. My name is Milovan Peric and I'll be your instructor during this course. Hi everybody and welcome to the course on applied computational fluid dynamics. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |