cloudfluid

cloudfluid

Softwareentwicklung

Karlsruhe, Baden-Württemberg 3.827 Follower:innen

Maßgeschneiderte, schnelle und verlässliche Strömungssimulation

Info

Unsere innovative und Cloud-basierte Software as a Service (SaaS) Lösung für Strömungssimulationen nutzt modernste Algorithmen, womit wir unseren Kunden strömungsmechanische Analysen maßgeschneidert, effizient, einfach und kostengünstig zur Verfügung stellen. Damit unterstützen wir gerade kleine und mittelständische Unternehmen (KMU) dabei, ihre Produktentwicklung zu beschleunigen und die Kosten bis zur Markteinführung signifikant zu senken.

Branche
Softwareentwicklung
Größe
2–10 Beschäftigte
Hauptsitz
Karlsruhe, Baden-Württemberg
Art
Kapitalgesellschaft (AG, GmbH, UG etc.)
Gegründet
2021

Orte

  • Primär

    Emmy-Noether Straße 17

    Karlsruhe, Baden-Württemberg 76131, DE

    Wegbeschreibung

Beschäftigte von cloudfluid

Updates

  • cloudfluid hat dies direkt geteilt

    Profil von Max Gaedtke anzeigen, Grafik

    Maßgeschneiderte multiphysikalische Strömungssimulation (CFD) auf GPUs in der Cloud – cloudfluid.de

    Auf dem Weg zum ersten Forum für Supercomputing & Zukunftstechnologien beim HLRS - Höchstleistungsrechenzentrum Stuttgart Heute steht ein spannender Tag im Zeichen modernster Technologien: Beim Supercomputing-Forum in #Stuttgart präsentiere ich cloudfluids innovative #CFD-Lösung, die zusammen mit nTop nahtlose Workflows für Strömungssimulation ermöglicht. Schon früh im Designprozess werden damit tiefe Einblicke und optimierte Ergebnisse erzielt. Die Grundlage dieser Effizienz bildet unsere hochentwickelte Lattice-Boltzmann-Methode (#LBM), die auf #HPC-GPUs läuft. Diese Kombination eröffnet neue Dimensionen in der Simulation und erlaubt eine noch präzisere und schnellere Analyse. Ich freue mich auf meinen Vortrag, die spannenden Beiträge anderer Teilnehmender und den wertvollen Austausch vor Ort. Zukunftstechnologien gemeinsam vorantreiben 🚀

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  • cloudfluid hat dies direkt geteilt

    Profil von Max Gaedtke anzeigen, Grafik

    Maßgeschneiderte multiphysikalische Strömungssimulation (CFD) auf GPUs in der Cloud – cloudfluid.de

    Excited to Connect at Formnext - Where ideas take shape! Next week, I’ll be at #Formnext in #Frankfurt, showcasing how cloudfluid integrates with nTop to streamline #CFD workflows through implicit interoperability. This integration enables CFD simulations directly within nTop, eliminating the need for a conformal mesh. Our #GPU-native solution significantly speeds up flow simulations, delivering valuable insights early in the design process and supporting faster, more effective decision-making. If you’re attending Formnext, let’s connect! Find me at the nTop booth (12.1, A126) or send a PM to arrange a meeting. Looking forward to some great conversations!

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  • Unternehmensseite von cloudfluid anzeigen, Grafik

    3.827 Follower:innen

    🔬 Returning to Our CFD Validation Series! 🔬 After a refreshing summer break, we’re excited to dive back into our CFD validation journey! Part 6: Flow Over a Sphere Flow over a sphere is a classic benchmark case, essential for understanding and validating models of drag, wake formation, and flow separation. This case is particularly important for applications in ✈️ aerodynamics, 🌦️ meteorology, 🐟 biology, and even ⚽ sports engineering. For detailed parameters, results, and analysis, check out the attached PDF. Thank you for your continued engagement and suggestions! We’re excited to continue this journey with you. What benchmark cases would you like to see us validate next? Share your ideas in the comments below. #CFD #Validation #FlowOverSphere #LBM #Aerodynamics #FluidDynamics

  • cloudfluid hat dies direkt geteilt

    Profil von Max Gaedtke anzeigen, Grafik

    Maßgeschneiderte multiphysikalische Strömungssimulation (CFD) auf GPUs in der Cloud – cloudfluid.de

    Accelerating Heat Exchanger Design for Additive Manufacturing: cloudfluid and nTop Integration The integration of #cloudfluid into #nTop through implicit interop now enables #CFD simulations without the need to create a surface mesh. This innovation streamlines the simulation process, increasing efficiency and accuracy. Our #GPU-native CFD solution enables a seamless and robust flow simulation workflow, providing deep insight early in the design process. This advancement significantly improves the ability to make informed decisions and optimizations in the early stages of design. Users can quickly design, simulate, and iterate #TPMS-based heat exchanger design variants in nTop. The entire workflow, from concept to simulation to visualization, is completed in less than 15 minutes, ensuring fast and efficient development cycles. Check out these stunning animations from Bradley Rothenberg 😍

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  • Unternehmensseite von cloudfluid anzeigen, Grafik

    3.827 Follower:innen

    🔬 Expanding our CFD Validation Series! 🔬 Have you ever wondered how turbulent flows behave close to the wall? Understanding these complex patterns is crucial for many engineering applications. Let us validate them! Part 5: Turbulent Channel Flow Turbulent Channel Flow is a critical benchmark for studying wall-bounded turbulence. It helps us validate and improve our models to accurately predict behavior in turbulent boundary layers, which is essential for applications in industrial processes. For detailed parameters, results, and analysis, check out the attached PDF. We look forward to hearing from you again! What benchmark cases would you like to see us validate next? Share your ideas in the comments below. #CFD #Validation #TCF #LBM #WallBoundedTurbulence

  • Unternehmensseite von cloudfluid anzeigen, Grafik

    3.827 Follower:innen

    🔬 Next Step in our CFD Validation Journey! 🔬 Have you ever wondered what happens inside your coffee cup when it cools? The fascinating patterns of thermal convection rise. Let us validate them! Part 4: Rayleigh-Bénard Convection Rayleigh-Bénard Convection is an excellent benchmark for studying thermal convection and validating heat transfer models. It helps us understand and predict complex convective flow patterns, which are crucial for applications in engineering and environmental sciences. For detailed parameters, results, and analysis, check out the attached PDF. We look forward to hearing from you again! What benchmark cases would you like to see us validate next? Share your ideas in the comments below. #CFD #Validation #RayleighBenard #LBM #ThermalConvection #HeatTransfer

  • Unternehmensseite von cloudfluid anzeigen, Grafik

    3.827 Follower:innen

    🔬 Continuing our CFD Validation Series! 🔬 The response to our previous posts has been incredible! After exploring a laminar case with Poiseuille Flow and a turbulent case with the Taylor-Green Vortex, we are now focusing on a transitional flow validation case. Part 3: FDA Nozzle Today we are introducing the FDA Nozzle, a crucial benchmark for validating transitional wall-bounded flow. We rigorously test our wall-modeled LES approach in these complex flow regimes to ensure the accuracy of our LBM implementation. For detailed parameters, results, and analysis, check out the attached PDF. We look forward to hearing from you again! What benchmark cases would you like to see us validate next? Share your ideas in the comments below. #CFD #Validation #FDA #LBM #LES

  • cloudfluid hat dies direkt geteilt

    Profil von Max Gaedtke anzeigen, Grafik

    Maßgeschneiderte multiphysikalische Strömungssimulation (CFD) auf GPUs in der Cloud – cloudfluid.de

    Unlock Faster Design Iterations with Seamless #CFD Integration in nTop! cloudfluid is pleased to announce the launch of our latest product, which seamlessly integrates Computational Fluid Dynamics (CFD) into the nTop GUI. This groundbreaking integration enables designers and engineers to analyze highly complex geometries that were previously time-consuming and nearly impossible in traditional CFD tools. Our partnership with nTop allows you to achieve faster design iterations by harnessing the power of CFD directly within the nTop environment. With this integration, you can: * Work directly with the implicit model, eliminating conformal meshing and the need for file or format conversion. * Streamline and automate your workflow by setting up CFD cases and post-processing your results all within the nTop GUI. * Take advantage of our fast LBM-based solver on GPUs in the cloud. Don't miss the opportunity to see a live demo of the workflow at RAPID + TCT, where we will be demonstrating this exciting new technology at the nTop booth 1546. Also check out our website for more info: https://lnkd.in/euuzrx9d

  • Unternehmensseite von cloudfluid anzeigen, Grafik

    3.827 Follower:innen

    🔬 Welcome back to our CFD Validation Series! 🔬 We're thrilled with the positive response to Part 1 of our series, where we validated Poiseuille Flow using the lattice Boltzmann method (LBM). Many of you have asked for a turbulent case, and we are happy to oblige. Part 2: Taylor-Green Vortex Today, we're excited to present the Taylor-Green Vortex, a classic case for validating turbulence models. Using LBM, we validate our Large Eddy Simulation (LES) models to ensure they can accurately capture complex turbulent flows. This includes a detailed assessment of eddy dissipation. For detailed parameters, results, and analysis, check out the attached PDF. We'd love to hear from you again! What benchmark cases would you like to see us validate next? Share your ideas in the comments below. #CFD #Validation #TaylorGreenVortex #LBM #LES #Turbulence #Engineering #FluidDynamics #Innovation #Technology

  • cloudfluid hat dies direkt geteilt

    Profil von Max Gaedtke anzeigen, Grafik

    Maßgeschneiderte multiphysikalische Strömungssimulation (CFD) auf GPUs in der Cloud – cloudfluid.de

    cloudfluid at the nTop Computational Design Summit It is with great pleasure and quite some excitement that we will be demonstrating cloudfluid's integration with nTop at the Computational Design Summit in Los Angeles on Monday. The demonstration will highlight our #GPU-native #CFD solution, which is designed to provide a seamless flow simulation workflow – without the need to create a conformal mesh. This solution enables deep insights and fast iterations early in the design process, enabling more informed decisions and more efficient product development. The integration of cloudfluid with nTop's platform exemplifies the synergy between advanced computational design tools and robust simulation capabilities. In addition to the Summit, I will also be attending the RAPID + TCT. This will be an excellent opportunity to network with industry professionals, discuss innovative ideas, and explore potential collaborations. If you would like to meet, please contact me via DM.

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