In this Blog, John Chawner of Cadence shares his observations about CadenceLIVE Silicon Valley 2022. This is the first return to an in-person format in a couple of years for the event and the first time ever for in-person CFD involvement.
This blog investigates how rigid bodies are defined in OnScale Solve and how they can be used effectively.
nstead of repetitive prototyping, CFD can significantly reduce design costs and save a lot of time. OnScale Solve provides a top tier CFD Solver that is simple to use and highly parallelizable, allowing you to run fast simulations to any CAD.
To design and create heating, ventilation, and air conditioning (HVAC) components with higher performance, analyzing them for aerodynamic and pressure-flow characteristics is critical. Most types of ventilation systems need to be designed to have maximum airflow through them while reducing the pressure losses across the unit.
Cadence product management and engineering teams present a webinar about transient thermal analysis tools, adding an enclosure onto the design to see the thermal impact in 3D, using computational fluid dynamics (CFD) to visualize air flow and the latest improvements in the Sigrity™ and Celsius™ technology
This past summer, Cadence began funding research at the Massachusetts Institute of Technology (MIT) and the University of Tennessee at Knoxville (UTK) on a topic of significant current interest to the aerospace CFD community: mesh adaptation for high-speed flows.
Discover how engineers at Bombardier developed the Meshing & Adaptive Re-meshing Server (MARS) with Cadence Pointwise’s Glyph scripting to create over 250,000 high-quality CFD meshes since 2017. MARS automates the meshing process, reduces meshing time, and ensures consistent user-agnostic meshes across geometry variations. In this presentation, learn how to: • Create high-quality meshes to resolve flows with reasonable cost • Use Glyph scripting to automate meshing for consistency, quality, and fast turn-around times • Encapsulate company best practices with templates for any geometry
Cooling data center buildings is critical, as they consume large amounts of energy and are considered a carbon-intensive industry. This is set to continue as the global trends of digitalization and cloud computing further accelerate.
Paper: A two-year study by Jin Xu and William W. Liou, PhD, Department of Mechanical & Aerospace Engineering / Computational Engineering Physics Lab, Western Michigan University and Yang Yang, Cook Research Incorporated
Computational fluid dynamics (CFD) is an aspect of multiphysics system analysis that undertakes simulating the behavior of fluids and their thermodynamic properties using numerical models.
In engineering, CAE simulation plays an increasingly powerful role in product design. But the factor limiting its more explosive growth is the reliance in many of the disciplines on experts and analysts. There is certainly a desire to be able to democratize at least a subset of the CAE simulation areas and broaden the pool of engineers that can effectively conduct these analyses and benefit from the more immediate performance feedback of their designs.
Engineering Simulation is used in many industries such as Aerospace, Oil & Gas, Automotive, Electronics Design to make critical decisions while saving money. For the Data Center industry, it predicts airflow and temperature distribution regardless of the status of the site.
Thanks to Simon Fischer, here’s the first ever Guinness served in perfection – by a CFD simulation tool. Hey, its five o-clock somewhere right?
Why CFD inside CAD is more than just pretty colors.
Making geometry models suitable for CFD meshing is often a time-consuming bottleneck in CFD analysis. Here we will discuss why this is so and some ways to alleviate the problems.
Renumbering (ordering) of the cells in the Finite Volume Method (FVM) can affect the performance of the linear solver and thus the speed of the simulation.
Computational fluid dynamics (CFD) can be used to influence decisions early in the design process. In order to assess the state-of-the-art of CFD and its predictive capability for medical devices, the U.S. Food and Drug Administration (FDA) developed two benchmark models for validation.
The traditional CFD process hasn't changed in 30 years, and the bulk of CFD done today (as much as 80% we estimate) complies with this accepted norm of creating a geometry in CAD, exporting it to a meshing tool, meshing it, setting up and running a CFD solver, post-processing results, going back into the geometry, altering it and continuing to do these design loops again and again.
CFD simulates the flow of liquids and gases by performing millions of numerical calculations. CFD analysis is typically carried out earlier in the design process even before the first prototype is made. With high-speed supercomputers, better designs can be achieved quicker, faster, and cheaper. Multiphysics is advanced CFD involving multiple physics coupled to mimic the real behavior as accurately as possible.
In this Blog post, Pointwise President, John Chawner shares the company's work to automatically generate an unstructured or hybrid mesh on and around virtually any geometry model.
Watch and download the presentation given by Steve Karman, Pointwise, Inc. at the Pointwise User Group Meeting about how Pointwise used custom Glyph scripts to automatically generate high-quality unstructured meshes for Engineering Sketch Pad (ESP) geometries, saving time and freeing users from repetitive and tedious tasks.
Is the CFD industry where one might hope it to be in terms of truly democratized usage? Keith Hanna shares his thoughts.
Computational fluid dynamics, or CFD, is moving toward democratization. Once the province of a subset of specialists, CFD is now reaching an ever-greater population of engineers.
“Democratization” is a buzzword that has been circulating around the Computational Fluid Dynamics (CFD) community for some time. Learn more through this paper.