The discretization approach in XFlow avoids the classic domain meshing process and the surface complexity is not a limiting factor anymore. XFlow features a novel particle-based kinetic algorithm that has been specifically designed to perform very fast with accessible hardware. ADAMS, and OpenModelica via FMI. Problem setup and results exploration are easy and intuitive, enabling users to focus their efforts on design iteration and optimization. This makes XFlow ideal for applications like windscreen washers.
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The discrete phase module of XFlow allows engineers to calculate how dust will settle around internal spaces. In the introductory fluids text I used while studying engineering [1], turbulence is discussed in chapter 13. Enforced Geometry allows the user to control the lateral and rotational movements individually in all directions. Our dedicated training co-ordinator will come back to you with information on dates, times and costs.
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XFlow can refine the quality of the solution in flow and near the walls, dynamically adapting to the presence of strong gradients and refining the wake as the flow develops. It can calculate loads on blades, wake turbulence, and the blades can revolve freely or the motion can be prescribed. The LES turbulence approach is well More Help to provide accurate results for civil engineering problems. A number of cosimulation options open the gate for coupled analyses, further increasing scope and realism. XFlow is a particle-based Lattice Boltzmann technology solver for high fidelity Computational Fluid Dynamics (CFD) applications as a part of SIMULIA’s Fluids Simulation portfolio.
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This is because of some unique features in XFlow. The underlying state-of-the-art LES, based on the Wall-Adapting Local Eddy (WALE) viscosity model, provides a consistent local eddy-viscosity and near wall behavior. Oil and Gas: CFD has many, many, applications in the field of oil and gas. The Main one in this case is that XFlow does not have a fixed filter scale (a filter that determines where in scale space the subgrid model starts being calculated), so resolving the grid into the Kolmogorov scale is theoretically possible at which point the turbulence is resolved directly as a DNS.
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XFlow offers multiphase and moving parts modeling capabilities specially focused on lubrication workflows such as gearboxes and electric motor drives. Adaptive wake refinement and LES turbulence models mean that Xflow can simulate complex transient flow scenarios accurately and efficiently.
Phone, email, and live chat assistance for SIMULIA XFlow is available from your trusted Hawk Ridge Systems Technical Support team. The Boltzmann equation is able to reproduce the hydrodynamic limit but can also model rarified media with applications to aerospace, microfluidics or even near vacuum conditions.
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Vorticity plot during the movement of a Wind Turbine. It enables you to optimize the balance of your engineering and computer time costs. Acoustics: By directly calculating acoustic pressures reference helps engineers address one of the significant challenges in automotive engineering. Acoustics: By directly calculating acoustic pressures XFlow helps engineers address one of the significant challenges in automotive engineering. The velocity streams from the grid point outwards in multiple discrete directions (this is the discrete Boltzmann distribution) then interacts with neighboring grids (this interaction is calculated by the collision operator). This allows the user to control each Degree of Freedom for my link moving body and user can control the movement of the body by providing External Forces and Moments.
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The large scale vortexes and those around grid scale order are resolved through the WMLES, then a sub-grid model represents the scales below grid level (and similarly a wall model at solid boundaries) so impractical tiny grid spacings are not needed. Required fields are marked *CommentWebsite Save my name, email, and website in this browser for the next time I comment. XFlow fully supports GPU computing to accelerate the time to solution. Hydropower: Tidal turbines and wave energy devices can utilise the ability of XFlow to model unconstrained bodies to model their operation in an accurate and realistic manner. [1] Welty, Wicks, Wilson, Fundamentals of Momentum, Heat, and Mass Transfer, John Wiley and Sons, 1976[2] XFlow 2016 Theory Manual[3] Jean Matthieu, Julian Scott, Fundamentals of Turbulence, Cambridge University Press, 2000Please see my other articles,CFD Has Changed ForeverStarting with a lecture session covering the essential concepts of advanced Computational Fluid Dynamics (CFD) simulation, the course also gives the attendees the opportunity to try advanced CFD solutions such as free surface flows, multiphase, Fluid Structure Interaction (FSI), particle based flows, thermal analysis, etc.
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