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.
Discover how nTop is improves flow management for turbomachinery in aerospace and defense applications.
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.
This blog explores the numerous applications of pin fin heat sinks and how they can enhance thermal management for optimal device performance.
This blog is based on an article originally published in NAFEMS’ special edition of Benchmark magazine to celebrate 100 years of CFD.
A team car optimally stacked with roof-top bicycle(s) and riding close enough behind the cyclist can yield aerodynamic benefits that could be large enough to decide who wins and who loses.
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.
A 55% lower thermal resistance compared to the conventional design showing a potential to improve CPU performance and safety.
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.
A look at Fluid Flow Dynamics throughout the centuries.
Cradle CFD version 2023 is a Multiphysics Computational Fluid Dynamics solution to enhance productivity for designing, researching, and manufacturing.
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.
In Simcenter STAR-CCM+ 2302 Siemens is releasing the Simulation Guide allowing you to centralize information in one place by embedding notes/instructions directly in the simulation file. With this feature organizing your notes, collaborating, and sharing knowledge with your colleagues just became easier boosting your CFD productivity.
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.
Speeding up CFD simulations through more efficient solver techniques is still the most cost-effective way to go faster.
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 presents the capabilities of DEEN product on design and engineering simulation engineering.
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.
RavenCFD (computational fluid dynamics) is a full three-dimensional Navier-Stokes flow solver for compressible viscous flows on unstructured grids. RavenCFD is tailored for robust steady-state and time-accurate solutions for a variety of multi-dimensional flows.
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.
Watch how SIMULIA helps to optimize engineering designs in the Aerospace and Defense industry. Our software solutions can simulate normal cruise conditions, as well as dynamic conditions such as takeoff and landing, buffeting, and aerodynamic degradation from icing conditions.
SimScale's cloud platform, offering ease of use for complex geometries, automatic contact detection, automated meshing and virtually limitless scaling capabilities for CHT industrial–scale problems that often involve complex geometries.
Despite some holdouts, most simulation providers have woken up and smelled the graphics cards.
This on-demand webinar will present a real-life case study with Hazleton Pumps, showcasing: Validations that prove the speed and accuracy of CFD simulations with SimScale and how to generate automated performance curves via rapid, parametrized design iterations.
This blog provides a brief overview of CFD, its history, applications, and the theory behind it.
Read about a new app that helps HVAC designers solve these problems better and faster by making state-of-the-art simulation technology more accessible than ever before.
An optimum HVAC system provides occupant thermal comfort and good indoor air quality throughout the year, irrespective of the outside weather conditions. Besides achieving these performance criteria, HVAC systems should also be energy efficient.
Simulation specialist Hexagon says it has demonstrated how complex CFD simulations, that were previously too time consuming and expensive to consider, can be achieved using capabilities derived from the world’s fastest supercomputer.
The main task of a design engineer is design, not simulation. However, a design engineer needs simulation to be competitive. Watch this video to see how you can be a more competitive design engineer by incorporating CFD simulation into your design process using Simcenter FloEFD.
In offshore engineering, CFD has found a niche area in offering both insights and foresights for complex problems.
Computational fluid dynamics (CFD) is a science that, with the help of digital computers, produces quantitative predictions of fluid-flow phenomena based on the conservation laws (conservation of mass, momentum, and energy) governing fluid motion.
This webinar series discusses how to improve the accuracy of CFD simulations by leveraging multiphysics methods available from Hexagon. In one example, the use of multiphysics and CFD yielded accurate aircraft flutter analysis within 2% of physical experimental results.
In product development, CFD enables the design of products and systems that meet requirements for fluid flow and heat transfer. This blog post discusses how this works.
E-Book: Accelerate product innovation by enhancing fluid and thermal performance in the early design phase.
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.
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.
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.
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
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.