Simulate complex fluid flows. Full physics including turbulent, compressible and multiphase flows with heat transfer. All in an intuitive, high-performance cloud environment.
Accelerate your CFD workflow with cloud-native simulation. Analyze everything from external aerodynamics to internal flows, heat transfer, and multiphase phenomena – all with industry-validated solvers and unlimited computing power.
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Use AI surrogates and pre-trained foundation models to get flow predictions in seconds. Explore massive design spaces, run parametric sweeps, and optimize fluid performance—all powered by cutting-edge machine learning.
Check AI FeaturesModel unsteady flows in the fidelity you need using RANS, LES or hybrid DES methods with the Finite Volume (FVM) and Lattice-Boltzmann (LBM) methods. Simulate using best-in-class solvers and analyze transient simulation data effortlessly in the cloud.
Optimize drag, lift, and downforce for vehicles, aircraft, and sports equipment. Capture complex flow separation, vortex shedding, and pressure distributions to enhance performance and fuel efficiency.
Design efficient heating, ventilation, and air conditioning systems. Analyze flow patterns, temperature distributions, and thermal comfort in buildings to create healthier, more energy-efficient spaces.
Optimize impeller designs, analyze pressure-flow characteristics, and predict pump performance. Leverage rotating frame capabilities to design efficient turbines, compressors, fans, and pumps.
Maximize heat transfer efficiency while minimizing pressure drop. Analyze conjugate heat transfer, multi-fluid interactions, and thermal performance to optimize compact heat exchangers.
Simulate two phase liquid-gas flows including tank sloshing, mixing vessels and free surfaces flows in marine applications and process engineering.
Prevent thermal failure in electronic devices and data centers. Analyze air, liquid and immersion cooling strategies to ensure optimal operating temperatures for sensitive components.
Siemens Energy cut design iteration time by 30% using SimScale’s cloud-native CFD to optimize 3D-printed heat exchangers. By eliminating pre-processing bottlenecks and enabling parallel validation, the team accelerated thermal performance optimization for complex additive manufacturing geometries.
Check out the latest thermal management simulations performed in SimScale and validated against experimental and/or analytical results.
Check out the latest thermal management simulations performed in SimScale and validated against experimental and/or analytical results.
Check out the latest thermal management simulations performed in SimScale and validated against experimental and/or analytical results.
Subscription Plans Adapted to Your Needs
Free for testing & learning
For higher fidelity simulation work
For team collaboration
For broad simulation roll-outs
Cloud-based CFD (SimScale) advantages:
– No expensive workstation required—runs in any browser
– Unlimited computing power scales on-demand
– No software installation or manual updates
– Real-time collaboration from anywhere
– Pay-as-you-go pricing without high upfront license costs
Desktop CFD limitations:
– Requires high-end local hardware (64+ GB RAM, multi-core CPUs)
– Limited to your workstation’s computing power
– Manual software installation and updates
– Difficult remote access and collaboration
– High upfront licensing and maintenance costs
No high-end hardware required. SimScale runs entirely in the cloud. You only need a modern web browser (Chrome, Firefox, Safari, Edge), stable internet connection, and any computer (Windows, Mac, Linux, even Chromebooks). All heavy computational work happens on SimScale’s cloud infrastructure.
Yes, SimScale provides a Python API for automating simulations, parametric studies, and design optimization. Integrate SimScale with your existing engineering tools and run batch simulations programmatically.
SimScale supports STEP, IGES, Parasolid, STL, BREP, and native formats from SOLIDWORKS, CATIA, Inventor, Creo, Fusion 360, and more. Built-in CAD mode allows geometry editing directly in the browser.
SimScale supports k-omega SST, k-epsilon, Spalart-Allmaras (RANS models), Large Eddy Simulation (LES), and GPU-accelerated Lattice Boltzmann Method with Smagorinsky, SST-DDES, and Hybrid SST-IDDES turbulence modeling.
CFD (Computational Fluid Dynamics) simulation uses numerical analysis and algorithms to analyze fluid flow, heat transfer, and related phenomena. It allows engineers to predict how liquids and gases behave under various conditions without physical testing, saving time and reducing product development costs.
CFD simulation involves three stages: (1) Pre-processing—defining geometry, meshing, and boundary conditions; (2) Solving—applying numerical methods to solve fluid equations; (3) Post-processing—visualizing results. SimScale automates much of this workflow in the cloud with features like automatic meshing and browser-based visualization.
SimScale offers a free plan for students, educators, and hobbyists. Professional and Enterprise plans are available for commercial use. Start a free trial with no credit card required.
The most common CFD models are Reynolds-Averaged Navier-Stokes (RANS) with k-omega SST or k-epsilon turbulence models, Large Eddy Simulation (LES) for transient flows, and Lattice Boltzmann Method (LBM) for GPU-accelerated simulations. SimScale supports all of these.
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