On the edge of the continuum, surface forces and particle dynamics take on greater importance.
Flexcompute to integrate Flow360 CFD solver with GridPro mesh generation tools.
What’s the fastest way to dry your hands under a dryer? Just the sort of question that can be answered with Simcenter FLOEFD, MCAD embedded CFD at its best.
SimScale launches first foundation AI model for centrifugal pump simulation built with NVIDIA PhysicsNeMo.
Thе systеmatically organizеd hеxahеdral cеlls found in structurеd grids arе thе idеal choicе for simulating platе hеat еxchangеrs. GridPro’s еfficiеnt blocking tools facilitate rapid grid gеnеration for thеsе complеx flow paths.
Precisely capturing these leakage flows using enhanced grids plays a crucial role in achieving precise CFD predictions of their behavior and their consequential impact on the overall performance of the screw compressor.
This technical brief dives into the physics of secondary flows in a 1.5-stage Aachen turbine and demonstrates how Cadence’s Fidelity CFD platform can simulate and mitigate these inefficiencies.
Traditionally, HPC relied on powerful CPUs to solve complex CFD simulations. However, as GPUs gain popularity for their exceptional parallel processing capabilities, they're redefining how engineers approach these simulations.
From Performing Simulations to Automating CAE Workflows.
Efficient FEA Processes Through "Abstract Modeling"
Ansys, Concepts NREC integrate CFD analysis software into blade design software for an end-to-end workflow that speeds time-to-market.
Each of these simulation techniques has its place for fluid problems. Here’s how to pick which is best for yours.
This article addresses the basic questions you may have on CFD modeling.
Combining NVIDIA Grace Hopper Superchips and Ansys software enables faster, higher fidelity simulation, improving R&D processes, Ansys reports.
Mesh generation is vital to CFD research and applications, enabling the numerical analysis of fluid flow around complex geometries.
Ansys accelerates CFD simulation using new NVIDIA GH200 Grace Hopper Superchips.
Virtual classrooms make specialist skills more accessible.
This paper offers a detailed exploration of the fully coupled CFD simulation of a KJ66 micro gas turbine (MGT) engine—an innovative approach that enhances the accuracy and fidelity of 3D numerical analysis.
This white paper outlines how the Cadence Fidelity LES Solver leverages large-eddy simulations (LES) to deliver accurate, cost-effective aeroacoustics simulations.
There are three general phases to analyzing a 3D model: pre-processing, solving and post-processing.
A new time scale-based k-epsilon (k-ɛ) model for near-wall turbulence is discussed. In this model, is chosen as the turbulent velocity scale.
The Explicit Algebraic Reynolds Stress Model (EARSM) simplifies complex physical processes from Reynolds Stress Models into a more manageable two-equation framework.
Conduction, convection and radiation are the three mechanisms by which thermal energy may be transferred from one point in space (and time) to another.
In this CFD simulation, a double flow / two-sided SRM screw compressor has been setup with air at inlet pressure 1 bar, outlet pressure 6 bar and rotational speed of 12,333 rpm.
TwinMesh announces the fully seamless 3D CFD simulation workflow for rotary positive displacement machines using TwinMesh™ and Siemens Simcenter STAR-CCM+.
This animation shows a 4-6 screw compressor with SRM profiles; the rotor length is 168 mm, wrap angle of main rotor 300°, outer diameter of main rotor 102 mm, of gate rotor 101.2 mm, axis distance is 80 mm.
Keynote panel will evaluate artificial intelligence for simulation at the 2024 Design & Simulation Summit
Creo Flow is a robust solution to empower the Design and Engineering Department to help make design decisions early to avoid scrap and re-work.
With Ansys Fluent, Professor Ken Yoda, Ph.D uses CFD to understand how the diversity of cetacean fin morphology — its form, position, and size — relates to hydrodynamics.
This blog post provides a perspective on the future of CFD from a vendor's viewpoint.
The simulation and discussion in this video are qualitative just to make some fun during the long Lunar New Year holiday with strict social distancing restrictions to curb spreading of Omicron in Hong Kong.
CFD helps boats grow wings and stay airborne.
Automotive and aerospace companies are actively exploring how quantum could improve CFD, digital twins and more.
A practical guide to enable mechanical and aerospace engineers to complete machine learning projects on simulation data, from start to finish.
This video presents the capabilities of Beta CAE's DEEN product for design and engineering simulation.
Computational fluid dynamics (CFD) simulations are based on the Navier-Stokes equation, used to describe the motion of fluids.
Toyota developed a pre-processing workflow that integrates the advanced gap-closing capabilities of Cadence Fidelity Autoseal and Fidelity Automesh volume-to-surface meshing to eliminate this manual process.
A 55% lower thermal resistance compared to the conventional design showing a potential to improve CPU performance and safety.
Hybrid multiphase CFD with Adaptive Mesh Refinement – Not just easier but also faster.
See thermal topology optimization at its best in this recorded webinar.
In this book, Dr. Justin Hodges shares his experience in facilitating AI/ML adoption in the engineering simulation domain. Topics include a simulation-specific machine learning pipeline, how to define CAE related problems for successful ML projects, modern trends, and a step-by-step learning pathway to build a compelling portfolio in AI/ML for engineering.
This paper discusses ColdStream Nxt, a generative design platform that revolutionizes thermal management by reducing design time by 80% and increasing cooling performance by 20%.
With integrated CFD tools you can efficiently analyze the effects of fluid flow, heat transfer, and related forces on your projects and process multiple “what if” scenarios to help you optimize designs quickly.
This paper addresses some of the challenges in performing an electromagnetic (EM) simulation in an automotive scenario.
In this webinar, the performance of Triply Periodic Minimal Surfaces (TPMS) structures will be compared with conventional heat sink shapes. Through a thorough analysis using CFD and optimization studies, the webinar aims to shed light on the effectiveness of these structures in cooling electronics applications.
A fundamental challenge in fluid dynamics emphasizes that while the equations elucidate the physics of the flow, obtaining meaningful insights into the behavior of complex flow fields necessitates more than mere equation solving.
It’s easy to explain how a rocket works, but explaining how a wing works takes a rocket scientist.
Introduction Machine learning presents many chances to further the subject of computational fluid dynamics and is quickly emerging as a fundamental tool for scientific computing.
In the early 1900s, Prandtl introduced boundary layer theory (Prandtl, 1904b) at a symposium in Heidelberg, Germany.
For centuries, humans have been captivated by the dynamics of fluid movement and its underlying mechanics. Turbulence was first identified as a separate fluid phenomenon about 500 years ago.
Implicit Multi-Step for VOF allows you to decouple the time-step at which you solve for the flow from that of the volume fraction allowing you to run your free surface simulations much, much faster.
With Simcenter STAR-CCM+, designers of E-Powertrains can delve into detailed Cell Design, Thermal Runaway and Thermal Management of battery packs with one single tool, accelerating all aspects of electric vehicle powertrain design.
Unlock the potential of early thermal management through concept generation, rapid feedback, and optimization in this webinar, and discover how it can significantly reduce design cycle times while enhancing efficiency and innovation.
CFD simulation of oil injection into conical rotary compressor.
An extension to the PowerFLOW Very Large Eddy Simulation (VLES) method provides easier and more accurate simulation of laminar flow separation and reattachment.
Advanced methods ensure high-quality material use, accurate component construction, and improved thermal management. This blog discusses 3D printing, die casting, and CNC milling.
The auto industry is focusing on developing advanced cooling solutions, which has led to increased demands for more sophisticated and automated design processes.
ANSA with its powerful functionality provides high efficiency solutions for CFD applications.
This blog post explores the complexities and compelling applications of thermal engineering.
This product update dives into pivotal features recently introduced by SimScale.
This article discusses how wind turbine design can be enhanced and accelerated with simulation using CFD and FEA tools to achieve optimal efficiency and performance.
By utilizing Turbomachinery CFD in SimScale, engineers can analyze their centrifugal pump’s performance and efficiency and identify areas of improvement in the design to ensure optimal operation.
CFD simulation allows engineers to design trains to minimize air resistance, and to analyze aerodynamics long before wind tunnel testing.
An impeller design reduced the extent of low shear regions near the right impeller surface and flow separation from the blade leading edges, while maintaining the desired hydraulic performance of the original CFTAH design.
Your 15 minutes free gaze into the crystal ball.
Why don’t we have a single number that tells us how fast the system will do the simulation?
SOLIDWORKS Flow Simulation extends the simulation capabilities into the realm of CFD. With this tool, engineers can analyze the behavior of fluids within or around their designs.
The ecological development of a pulp preparation system with using CFD and DEM.
The goal of this computational fluid dynamics (CFD) study was to analyze the biventricular performance of the AVAD across its wide range of operating conditions.
This 2 Minute Papers installment features fluid simulations.
Thanks to knowledge transfer across different categories of design with only a few samples, NCS makes introducing significant changes possible while leveraging existing simulation data.
This blog discusses the "classic" CFD applications, and the innovations introduced by data-driven simulation.
Learn how to use Coreform Cubit's broad meshing capabilities, along with its powerful Python scripting capabilities, to develop the case directory structure for OpenFoam within the Cubit GUI interface.
This paper explains what abstract modelling is, including differences and commonalities with traditional pre-processors, its unique approach to automation, and how it can be used for “simulation apps”.
This presentation from the NAFEMS conference covers the abstract modeling automated process along with simulation applications.
Gases or fluids must be injected at the same time in several instances. Introducing a manifold in those devices can boost the system's performance.
Thermal network models are mathematical models which can be used to analyze and optimize flow and heat transfer in complex systems.
With a dedicated methodology for the fundamental study of Computational Fluid Mechanics (CFD), the book has been released by Springer and is now available for purchase.
This integration supports the creation of CAD models of turbomachinery products such as turbines, pumps, compressors, and fans and running simulations to evaluate their blade profiles, pressure-flow characteristics, and efficiency requirements.
CFD simulates the streaming nature of fluids and the way in which the flow changes when fluids interact with surfaces.
This blog presents an approach to real-time Computational Fluid Dynamics, CFD, (and real-time CAE, Computer-Aided Engineering) that delivers repeatable engineering-level fidelity suitable for engineering simulation analysts.
The Compressible fluid flow analysis is used to run simulations where fluid density variations have a considerable impact on the flow simulations.
A CFD simulation involves the use of the fundamental laws of mechanics, governing equations of fluid dynamics and modeling to mathematically formulate a physical problem.
Creo Flow Analysis supports geometry created using the lattice feature in Creo. All gyroid and lattice geometry can now be used to define very complex fluid bodies and used in computational fluid dynamics.
The world is changing at a pace never seen before, and the competition does not sleep. And while you are competing with your SMB peers, you either compete with or need to find your place alongside the big players.
Researchers and musicians alike are turning to FEA and CFD to help with instrument design.
This example workload demonstrates running computer-aided engineering (CAE) simulations by using Azure. Computational fluid dynamics (CFD), finite element analysis (FEA), and discrete element method (DEM) are all examples of CAE simulations.
With Neural Concept Shape, you can use 3D numerical simulations as input to train your deep learning models. If we take the example of aerodynamic simulations, these CFD simulations results are usually much larger files than images or text (a single result can reach several hundreds of GB). Hence storing a large amount of them can become an issue in the long term, as it would require to regularly scale up the hardware infrastructures accordingly.
Watch this webinar, where experts will guide you through a generic four-bladed quadcopter drone harmonic simulation in the Cadence Fidelity CFD Platform.
This presentation presents the steps to develop an optimization procedure to speed up geometry modifications via the interconnection and integration between commercial and open-source tools.
Phase change is the process by which a substance changes from one state of matter to another. The most common phase changes include the transition from solid to liquid (melting), liquid to solid (freezing), liquid to gas (evaporation), and gas to liquid (condensation). The laws of thermodynamics govern these changes, which are caused by changes in temperature and pressure.
Radiation is the transfer of energy through electromagnetic waves, such as light and heat. In CFD simulations, radiation can significantly affect the overall heat transfer process. Therefore, it is important to consider whether or not to include radiation in your CFD simulations.
Abstract Modeling as the easiest way to automate (CFD) pre-processing.
This video demonstrates post processing using META. This includes the creation of cut planes, streamlines, report generation, along with insight on how to automate the process.
Engineering simulation is a term associated with prediction (or calculation) of non-linear, mathematical equations that can't be solved on a piece of paper. Engineering simulation is used in many industries such as Aerospace, Oil & Gas, Automotive, Electronics Design to make critical decisions while saving money.
Computational Fluid Dynamics (CFD) has proven to be a feasible and faster way of approaching building design virtually. Simulations can be used at multiple stages of a building design starting from microclimate assessment using building massing, selection of ventilation components, occupant comfort assessments, and analysis to check for regulatory compliance.
Simulating fluid flow and heat transfer phenomena with satisfying accuracy is an incredibly complex task generally achieved using CFD. ColdStream is not an exception to this rule and runs all simulations and optimizations through CFD calculations. But solving physical equations simultaneously for millions or even hundreds of millions of small discrete portions of space is a task of complexity well beyond what an average computer can do.
Flow Science’s FLOW-3D 2022R2 Product Family has a unified solver that allows access to the features of OpenMP/MPI hybrid parallelization, whether running on an HPC cluster or an engineering workstation.
Hardware makers explain how they use analysis to configure their products.
A typical SimScale application is the analysis of electronics enclosures for thermal management, specifically, scenario testing multiple cooling strategies. Fan behavior can be simulated in several ways in SimScale.
Esteco has acquired Turin-based Optimad Engineering, a company specialising in advanced engineering solutions, Reduced Order Modelling (ROM) and computational fluid … Continue reading Optimad Engineering acquired by Esteco for enhanced CFD AI
Miami, Florida — Program Development Company LLC, leading developer of robust, high quality, versatile, automatic grid generation for Computational Fluid … Continue reading Latest release of GridPro is a major step forward in generating high quality meshes for CFD related phenomena in a timely manner.
ENGYS announces its strategic partnership with NAVASTO, a provider of AI-powered engineering software solutions.This partnership represents an advance in ENGYS’ mission to … Continue reading ENGYS Partners with NAVASTO to offer AI-Powered Solutions for CFD
Munich, Germany and Boston, MA, USA – 28 October 2021: – SimScale, the maker of the world’s first cloud-native platform for … Continue reading SaaS engineering simulation platform SimScale raises €25M Series C extension round to transform product design and R&D
Leveraging advanced computer-aided engineering (CAE) tools, including FEA and CFD, can alleviate these hurdles, expediting the adoption of offshore wind as a primary energy source.
Danfoss is currently collaborating with Neural Concept to evaluate the integration of Neural Concept Shape (NCS) deep learning technology within their product design workflows.
Using wind tunnels to test performance.
To equip their experts with best-in-class simulation technology and create a world-class racing yacht, NYYC and the American Magic team turned to Altair.
In this case study, aero elastic behavior and flutter instability of aircraft wing in the subsonic incompressible flight speed regime is investigated.
This case study presents how CFD analysis and Design Space Exploration were applied to optimize each furnace design component in a multi-scale, multi-physics coupling approach to alleviate operational performance concerns.
Through SimScale, Hunt Bike Wheels has access to multiple types of physics such as FEA and vibration analysis all in one platform using a single CAD model.
This article highlights a drone design project using SimScale’s CFD simulation tool to design a medical delivery drone from scratch.
SimScale was used extensively to analyze the performance of the new designs.
PhysicsX, the team of scientists and engineers borne out of Formula One, collaborated with Neural Concept in order to build a surrogate model allowing to predict in real-time the performance of various heat exchanger designs, with different topologies.
HYCET is reducing physical gearbox testing while increasing the efficiency of its CFD simulations to include richer, more detailed oiling information including flow rate, hydrodynamic torque, fluid contact time, heat transfer coefficient, and more.
The challenge in this case study is to develop an optimization procedure able to speed-up geometry modifications handling and to enable interconnection and integration between commercial and open-source tools.
The choice of the proper CFD software is of paramount importance. WR Digital Ltd. adopted ANSA of BETA CAE Systems as the standard pre-processing tool for CFD in order to excel and offer to its clients and partners a leading position.
PMR uses cloud-native engineering simulation to design & develop specialist cooling systems, including radiators & intercoolers, maximizing the intake temperatures & airflow using computational fluid dynamics (CFD) and then verifying the performance of these components before costly in-house fabrication.
Tampere Formula Student is a motorsport designing team comprised of student members at Tampere Universities. In 2022, they competed in four different competitions and have recovered from their 6-week competition trip and are now ready for more challenges in 2023.
Hexagon’s CFD technology was used to determine that a tracking system could optimize a panel’s orientation and increase efficiency by up to 20%.
Drive a car not originally built for racing around an oval track at 200 mph for a couple hours and you begin to understand why stock car drivers want the latest and greatest information on how their car will handle in close traffic on a banked curve. Traditionally, engineers in NASCAR relied on wind-tunnel and track testing. But in recent
years, NASCAR began looking for an alternative.
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