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Introducing OnScale Solve™, The World’s First Cloud Engineering Simulation Platform

By Marshall Williams 30 October 2020

We are excited to announce the release of OnScale Solve, the web-based cloud engineering simulation platform bringing to engineers powerful multiphysics solvers and scalable cloud supercomputer resources.

Built by Engineers for the Engineers of the Future

OnScale Solve offers a Free Private account loaded with 500 core-hours per year of simulation power. STEM educators and students can benefit from the free online simulation capabilities available in OnScale Solve, while professional users can enjoy running complex simulations and explore massive design spaces to get a glimpse of how cloud engineering simulation can enable the accurate design of modern products.

Cloud Engineering Simulation

With this release users can perform mechanical, thermal, coupled thermal-mechanical, analysis. The OnScale Solve roadmap includes the development of dynamic mechanical, nonlinear mechanics, thermal-fluid, FSI, and acoustic analysis. OnScale Solve includes several key features and enhancements, including:

Intuitive Workflow

Modern UI & UX

OnScale Solve UI is cloud-native and built on the latest web browser technology, thus facilitating an efficient, intuitive simulation workflow and delightful user experience:

  • Meshing operations are fully automated allowing the user to concentrate on the simulation problem at hand.
  • From within the UI the user is able to interact with all of the simulation results data stored on the cloud, accessing only the data needed to generate charts, tables, images, and animations.
  • Team and project dashboards are available to efficiently navigate simulation studies and manage core-hour usage.

Structural mechanics FEA of a bike frame run in OnScale Solve™.

Simulation API

The Simulation API available in OnScale Solve is Python-based and fully supports UI and solvers calls allowing any functionality to be accessed within a script and embedded in any process.

The Simulation API adds a greater amount of flexibility and control to OnScale Solve: simulations can be efficiently defined and submitted through different mechanisms and workflows including user-defined scripts, third-party tools, and even a user-built UI or app.

In addition to the Python language, the Simulation API will also be usable via MATLAB and HTTP request methods.

CAD and Mesh Automation

Simulation API CAD Geomerty Checking & Repair

OnScale Solve automatically scans a CAD geometry for issues that would effect the creation of a valid simulation, reports these to the users, and where possible will repair them. As with all OnScale Solve features, powerful back-end AI algorithms learn from each iteration and make future imports faster and more reliable.

Automatic Meshing

OnScale Solve simplifies meshing with a sophisticated automated mesher. The user need only specify the desired level of refinement to obtain an efficient and effective mesh that passes multiple built-in quality checks. The resulting mesh is fully viewable.

Simulation API OnShape CAD Integration

Designed as a Cloud Engineering Simulation platform, OnScale Solve has been expanded with Onshape, the cloud-native product development platform that unites CAD and data management. This integration allows engineers to access both CAD and simulation in the cloud, providing them with a unique SaaS design and engineering innovation platform.

Multiphysics Solvers

Simulation API Mechanical: General Boundary Conditions and Loads

OnScale Solve offers a variety of load types and boundary conditions to meet your needs:

  • Surfaces may be fixed in any degree of freedom or have an imposed displacement.
  • Symmetry planes can be defined to reduce model size.
  • Loads may be specified by distributed pressure or by total force.

Simulation API Thermal: Heat Transfer Coefficient

OnScale Solve allows users to define a heat transfer coefficient according to Newton’s cooling law. Users can select a surface and assign a coefficient value expressed in W/(m2*K) together with a reference surroundings temperature value.

Insightful Results Analysis

Simulation Results Handling

Simulation results are organized by project in an intuitive tree structure, providing easy access and navigation. Cloud storage eliminates the need for local file management.

Jupyter Notebooks

Utilize the power and flexibility of Jupyter Notebooks to postprocess your simulation results, live on the cloud, the way you want to:

  • Capture macros.
  • Import existing Python libraries.
  • Reuse existing code-bases.

Jupyter Notebooks are embedded in OnScale Solve providing users with unlimited options to work with their simulation data and extract insights quickly to make better, more informed design decisions.

These are only a handful the OnScale Solve release highlights. To learn more and find out what else we are working on click here! You can also learn more about the main features in this first release by watching our on-demand webinar, Introducing OnScale Solve.

Getting Started with OnScale Solve

Engineers, designers, analysts, and current OnScale users can learn more about OnScale Solve and run their first cloud engineering simulation study by accessing these resources:

With OnScale Solve you can work, collaborate, and share from any location and device. Ready to go? Create your free account today and start simulating with OnScale Solve! If you have any questions please contact us at info@onscale.com!

Marshall Williams
Marshall Williams

Marshall Williams is a Digital Marketing Intern for OnScale. He's a student of AeroSpace Engineering and Economics at Georgia Tech, with experience in growth focused copywriting, specializing in marketing for startups and nonprofits.

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