Higher Performance Across a Wide Range of ANSYS Fluent Simulations with the Intel Xeon Gold 6148 Processor - White Paper

white-papers-thumbnail

Designers and engineers invariably want more from their CFD simulations — more detail, more variables, greater accuracy, and faster time to results. This solution brief will describe how ANSYS Fluent 18.1 and Intel® Xeon® Scalable processors address these needs by delivering powerful performance gains for engineering simulations, including per-core gains that help to speed performance while containing software licensing costs.

Back To Resource Library

分享:

申请下载

我希望收到Ansys及其合作伙伴的信息更新及推送，我可以随时取消订阅。Ansys隐私声明

Recommended

HPE Reference Architecture for Small and Medium Enterprises - White Paper

This white paper describes reference architectures of the HPE Apollo r2000 cluster serie for small to medium sized customers using ANSYS Mechanical, CFX or Fluent.

GEKO – A New Paradigm in Turbulence Modeling

Since no single turbulence model is suitable for all flow applications, users must choose from a finite set of fixed models, hoping one fits their simulation. This white paper introduces GEKO (generalized k-ω), a revolutionary concept in turbulence modeling that gives you the flexibility to tailor turbulence models to your applications. Developed by turbulence expert Dr. Florian Menter, GEKO provides several free, tunable parameters, which 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.

Modeling Film Cooling in Turbine Blade Design

Turbine designers have the challenging task of getting the external and internal blade aerodynamics right while minimizing the use of cooling air. They need to accurately determine the location, the density, the pattern, the shape and the size of cooling holes to maximize blade life. Hole placement must be optimized to minimize the negative impact on aerodynamic efficiency while maximizing cooling efficiency. This task takes place early in the airfoil design when detailed CAD models are either not yet available or the generation of detailed meshes with cooling orifices slows down the iterative design process significantly. The designers want to separate the geometry (airfoil shape) from the mesh (typically hexahedral) and from the cooling flow distribution. They model a reduced number of passages for a single stage and make small changes to the airfoil without changing the hole position; conversely, they move the holes and change their sizes without modifying the airfoil geometry. This process is repeated for many airfoils and cooling holes configurations as part of an optimization loop. There are several approaches to account for cooling holes in CFD simulations which vary by order of complexity and the sought accuracy. These approaches are discussed in this white paper.

Four Essential Facts About Chemistry and Combustion CFD

A comprehensive understanding of combustion processes is now possible using computational fluid dynamics (CFD), but only if the underlying chemistry of combustion is taken fully into account. With 60 fuel components reacting via complex chemical mechanisms in short time intervals, knowledge of which components react in which order is essential to successful, robust combustion modeling. Recognizing this,Ansys has incorporated the most comprehensive, validated fuels chemistry database ever assembled — The Model Fuels Library — included with Ansys Chemkin Enterprise, Ansys CFD Enterprise, and Ansys CFD Premium to design more cost-effective, efficient, cleaner burning engines.   

Run Your Ansys® Fluent® Simulations at Top Speed

The Ansys Fluent solver can be so computationally demanding that complex simulations can take hours to complete. Ansys and Intel worked together to build a new smoother and optimize it for Intel® Xeon® Scalable processors to help reduce those long simulation times. This whitepaper reviews the results of performance testing conducted with Ansys Fluent 2020 R1 when making use of the Intel MKL sparse LDU smoother, and it explains how the improved performance results were accomplished. The testing showed that the new smoother and Intel Advanced Vector Extensions 2 (Intel AVX2) enabled code path combined to produce a performance boost of 12 to 19%.

All You Need to Know About Hardware for Simulation

Engineering simulation needs all the computer power it can get — and more. FEA and CFD users have complex problems with millions of elements, and generative design — built on simulation — will run simulations many times for each of the thousand solutions it generates. Most engineers are still trying to do all this on ageing workstations. What should you look for in a new workstation? We examine processors, CPUs and GPUs, memory and the latest storage technology. But will even the fastest workstation be enough? Many users find high-performance computing (HPC) to be the next logical step after exhausting the capabilities of workstations. HPC provides surprisingly quick solutions, allowing users to do more simulation iterations as well as more complex simulations. This report discusses introductory level HPCs and what you can expect. We also researched getting HPC as a service, which allows users to draw from an almost limitless amount of computer power that is not only affordable by consultants and small firms, but is also as easy to access as signing up for an account. In this report, we examine the options available for engineering hardware for simulation: The state of the art in engineering workstations. When do you need to jump to HPC? How much faster is HPC over workstations? What to look for in HPC hardware. Affordability of HPC. Is it better to rent HPC when you need it?

与 ANSYS 取得联系

联系我们