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A numerical method of modeling oil jet piston cooling
To meet stringent emission regulations and high power requirements, peak cylinder pressures and specific power of petrol engines have increased dramatically in recent years, resulting in higher thermal loading of in-cylinder components such as pistons. To keep maximum temperatures securely below an acceptable limit, modern engine pistons are oil cooled. An oil jet, injected from a nozzle tube on the crankcase, impinges on the underside of the piston and achieves effective temperature control. On the one hand this cooling concept can ensure the required durability and reliability of pistons...
Migration from STAR-CD to STAR-CCM+ at the BMW Group
This presentation will show the results of the overall migration from STAR-CD to STAR-CCM+ at the BMW Group during the years 2010-2011. After exploring the challenges present the BMW product development procss, the presentation will give an overview of the usage of computational fluid dynamics by the different departments at BMW. After that, the presentation will focus on the migration project. This will include the project objectives, the project timeline, the project structure as well as the collaboration between CD-adapco and BMW during the project. The last part of the presentation will...
A new meshing methodology for faster simulation of a Body-In-White dipping process
Simulation of complete body-in-white dipping processes demands a special mesh that is able to model complete geometrical features with the least surface cell count on the body, while representing the sheet metal thickness and ensuring mesh continuity among approximately 400 Body-in-White (BIW) components. Currently employed semi-automatic approaches for producing such meshes are often time intensive and involve huge manual effort. Therefore, a new meshing methodology is developed in STAR-CCM+ with the help of Java automation API and pipeline meshing technology which has automated the surface...
Discrete Element Methods in STAR-CCM+
Dense granular systems are very common natural phenomenon. Sand, pebbles, soil, seeds and powders are all examples of granular flows. Whilst the modeling of granular flows with Eulerian methodology had some success, there is still no known constitutive relation that governs dense granular flow based on grain-scale physics. Recent architecture advances and access to CPU power enables to use granular flow modeling based on Discrete Element Model (DEM) both, for dry granular flows and for flows of particles coupled with traditional CFD solvers. This presentation introduces the DEM simulation...
Aerodynamic performance of racing bicycles and practical considerations for CFD workflows
As CFD is being embraced by the frame, wheel and component manufacturers in the cycling industry, some practical challenges are quickly emerging. Discussions and concerns regarding the scope and resources required to conduct CFD studies, as well as their relevance, are quickly evolving - a phenomenon which is not unique to the cycling community. In this presentation we will outline a process, that can effectively help to manage CFD in the overall design process by directly addressing data management and workflow issues. Particularly we see a tremendous opportunity for cycling manufacturers,...
Aerodynamic development of a time-trial bicycle helmet: From CFD to le the eulerian multiphase flow modelthe eulerian multiphase flow modelTour de France
CFD analysis is becoming a tool of choice in the competitive cycling industry. Cycling product development has taken advantage of integrating CFD in its development process. Significant improvements were made, mainly for drag reduction. CFD also serves the marketing department: multicolored CFD pictures and other engineering data is now the standard for cycling products promotion. Following this trend and with the help of Lx R&D, Louis Garneau Sport introduced CFD in the development of what was going to be the Vorticce, their best time-trial helmet to this date. The main benefits they...
Reacting flow modeling in STAR-CCM+
In order to meet ever challenging emission requirements while efficiency of reacting flow devices is increasing, STAR-CCM+ provides advanced reacting flow model capabilities that incorporate finite-rate chemistry and keep the computational time manageable at the same time. The models work for both, low and high-Mach number applications as well as for multi-phase flows. Examples demonstrating these capabilities will be shown. Validation of soot, NOx and CO against canonical flames using these models will also be presented. Furthermore, flexibility is provided for the users to add source terms...

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