b'Automotive | Engineer InnovationOptimizing After-Treatment Systems Performance.Using a model-based system design approach to support the engineering of exhaust systems in an RDE context wall, a Langmuir-Hinshelwood formalism is used to represent the reaction rate expressions. Practically, users benefit from multi-level models embedding various physical content, and can enable or disable any sub-models or reaction paths to adapt the model to the physics of their application, including the full details and complexity for an accurate prediction of the reaction mechanism or simplifying the model content for an optimized CPU performance.As an example, users can activate and model adsorption and desorption phenomena using one or several storage sites. A diffusion model can be added to get more precise results for high flow regimes.After designing all the after-treatment component models to work with both variable and fixed time step solvers, it isIn extreme cases, using a fixed timeof simulation software for after-easy to integrate the model later in thestep solvers of 0.1s, we can execute thetreatment analysis.design process in real-time targets andsimulation of an exhaust after-drastically reduces simulation timestreatment device over a completeA step-by-step process supports when the step size is increased.driving cycle in seconds, making itengineers in the definition of their possible to simulate thousands ofsimulation project, thanks to an More concretely, common after- cycles in a couple of hours. application-oriented GUI that enables treatment modeling approaches findan easy set-up of the monolith or filter their limits with short fixed stepsAs a result, Simcenter Amesim enablesgeometry and the reaction scheme because of the high dynamics of thethe engineer to cover the completedetails, for the loading and pre-reactions to be represented. To answerV-cycle and can be combined with 3Dprocessing of the available test data this issue, we have implemented anCAE software for detailed design ofand as a last step for the handling of advanced reaction rate saturationcatalytic converters. Thanks to a broadthe tuning parameters. This algorithm in Simcenter Amesim, whichrange of components offering severalcomprehensive, integrated workflow guarantees a robust simulationmodeling options and computationalsignificantly reduces the effort required whatever the step size, and ensures aperformance, engineers arefor the tuning of the model, and saves physical consistency to get accurateempowered with a tool providing theincomparable amount of time for the results. On the other hand, the physicalright level of model for theirusers to focus on their engineering content of the model preserves theapplication. In addition to its modelingdiscipline. Those reduced simulation consistency of the results and thecapabilities, Simcenter Amesim alsotimes also allow for the creation of capability to predict the systemprovides tools and methodologies tooptimization algorithms to automate performance on extrapolatedoptimize parameter calibration,the definition of chemical scheme conditions and driving cycles. reducing the gap toward the adoptionparameters. n17'