Computational ﬂuid dynamics (CFD) can help designers achieve higher performance and lower emissions for combustion and reacting flow systems — without costly physical prototyping. But combustion CFD can only be of value if the simulations predict real-life behaviors
Because no single turbulence model is suitable for all flow applications, users have had to choose from a finite set of fixed models, hoping that one fits their simulation. With the introduction of GEKO (generalized k-omega) — a revolutionary innovation in turbulence modeling within ANSYS Fluent — users have the flexibility to tailor turbulence models to their applications. GEKO provides several free and tunable parameters that can be adjusted over a wide range to match the simulation to specific physical effects, while maintaining the underlying calibration for flat plates and mixing layers
Volkswagen Motorsport shattered the time record at the Pikes Peak International Hill Climb with their first-ever, fully electric race car, the I.D. R Pikes Peak — a next-generation race car developed with ANSYS simulation solutions
From automobile engines to gas turbine generators to fab tools, reacting flow and combustion is often the key to energy efficiency, emissions, lifespan, product yield, and other performance parameters. Simulation can help your engineering team look deeper into reacting flow and combustion issues to understand the complex chemical reactions, fluid flow, heat transfer, electrical performance, and other factors that determine the performance of your product. Simulation enables your engineers to evaluate more design alternatives more thoroughly than traditional prototype-based design and development methods.
Running ANSYS Fluent computational fluid dynamics (CFD) software on a Cray supercomputer, Professor Bert Blocken, with teams at Eindhoven University and KU Leuven, performed the largest-ever sports simulation. The eye-opening results, validated by wind tunnel tests, reveal the air resistance encountered by riders in each position of a peloton and why successful breakaways are so difficult to execute
Smooth particle hydrodynamics (SPH) is a Lagrangian particle method for modeling impacts, explosions or fluid–structure interaction (FSI) problems. The method was developed to avoid the limitations of mesh entangling encountered with the finite element method in extreme deformation problems, and to model complex free surface and material interface behaviors, including solid fragmentation. The SPH method in Ansys LS-DYNA® is coupled with the finite and discrete element methods, extending its range of applications to a variety of complex problems involving multiphysics.
To leverage pervasive engineering simulation, every engineer must have access to simulation throughout design, testing and operation processes. To do this effectively means eliminating bottlenecks. Recent advances in computational fluid dynamics have reduced these bottlenecks for engineers, whether they are recent graduates or world-class simulations experts. This issue of Ansys Advantage describes these advances and reveals how organizations around the world benefit from this technology.