This blog gives an overview of the modeling technique used in OnScale Solve to simulate contact mechanics problems. In addition, a test case is presented on how to build and run a first contact mechanics simulation in OnScale Solve.
What is plastic material behavior and why is it important? In this blog post, this blog post introduces plasticity and shows how it can be simulated in OnScale Solve.
Is there a way we can simulate and study these effects in Onscale Solve? Read this blog post to learn how.
Watch this podcast from OnScale.
And an essential aspect of a correct set of equations is a correct set of boundary conditions, so let’s make sure we are setting the right boundary conditions!
When discussing rotational motion and power transmission, engineers need the right boundary conditions to simulate their design scenarios. This blog post takes a deeper dive into the application of torque in CAE simulation.
This blog explores the basic equations solved in FE applied to deformable continuum solid mechanics, and how these are treated from a computational perspective.
This blog investigates how rigid bodies are defined in OnScale Solve and how they can be used effectively.
nstead of repetitive prototyping, CFD can significantly reduce design costs and save a lot of time. OnScale Solve provides a top tier CFD Solver that is simple to use and highly parallelizable, allowing you to run fast simulations to any CAD.
Remote Displacements allow for a more granular control of the displacement applied, by controlling the position and direction of the displacement as if it was coming from one unique remote location.
This whitepaper discusses how RF MEMS acoustic resonator-based filters can be efficiently and effectively designed, thereby reducing cost, risk, and time to market.
This white paper discusses how ultrasonic non-destructive testing (NDT) can be efficiently and effectively optimized, thus reducing costs and risks, with the use of accurate engineering simulations.
As a design engineer, have you ever had a senior PHD level engineering analyst come in for an 11th-hour design change? What if you could have collaborated together every step of the way through from conception to form factor to simulation to a final product?
Could OnScale's Multiphysics simulation have been the key to solving the global supply disturbance amounting to $400 million per hour? Read the article in Digital Engineering.
This webinar explores the steps to take with any CAD model to ensure that it’s simulation ready.
This webinar describes OnScale’s revolutionary approach that combines state-of-the-art proprietary multiphysics solvers and cutting-edge high-performance computers on the cloud. We also describe OnScale’s unique technology and business approach, which gives users the ability to run the thousands of simulations required to fully optimize the electronics package using a flip-chip, all in a fraction of the usual time and cost.
This white paper discusses how RF MEMS acoustic resonator-based filters can be efficiently and effectively designed, thereby reducing cost, risk, and time to market. Mathematical modeling and numerical simulation play a key role in achieving quick and reliable design wins.
Project BreathEasy is a consortium of multiphysics FEA/CFD vendors, medical device manufacturers, engineers, and doctors from around the world who are developing digital twins of the lungs of COVID-19 patients to help doctors improve patient outcomes and optimize use of limited ventilator resources in major outbreak areas.
This white paper discusses how synthetic datasets for training AI can be generated in hours using the OnScale cloud simulation platform. The demonstrated approach of using synthetic datasets to train AI networks can drastically reduce cost, risk, and time for the development of new hardware technologies.
In this Rev-Sim Guest Post, OnScale CTO, Dr. David Freed shares his views on the coming decade. Freed believes that engineering simulation will be hugely impacted by, and become inextricably entwined with, machine learning / artificial intelligence (ML/AI). Do you agree? Read all about it in this Rev-Sim Guest Post!
PITTSBURGH, PA, April 13, 2022– Ansys (NASDAQ: ANSS) announced today that it has signed a definitive agreement to acquire cloud simulation provider OnScale. … Continue reading Ansys to Expand Cloud Portfolio with Technology from Acquisition of OnScale
Built by engineers for engineers, OnScale Solve is a cloud-native simulation platform that breaks the barriers of legacy desktop engineering simulation … Continue reading OnScale Introduces OnScale Solve™ : The World’s First Cloud Engineering Simulation Platform
Silicon Valley, CA (April 16th, 2020) – OnScale, the global leader in Cloud Engineering Simulation, has released their free online … Continue reading OnScale Offers Free Online Training Courses to Promote Productivity for Engineers Working Remotely
Silicon Valley, CA (April 14th, 2020) – OnScale, the leader in Cloud Engineering Simulation, announces Project BreathEasy, a consortium of … Continue reading OnScale Launches Project BreathEasy: Digital Twins of Lungs to Improve COVID-19 Patients Outcomes
Silicon Valley, CA (March 17th, 2020) – OnScale, the global leader in Cloud Engineering Simulation, today announces that it will … Continue reading OnScale Providing Free Cloud Core-Hours to Customers to Mitigate Engineering Productivity Loss Related to the Coronavirus Outbreak
Sharing the same vision of making simulation accessible to all engineers, OnScale joined the non-profit Revolution in Simulation™ initiative as … Continue reading OnScale Joins the Revolution in Simulation™ Initiative
Silicon Valley, CA (January 14th, 2020) – OnScale, the leader in Cloud Engineering Simulation, today announces the availability of its … Continue reading OnScale Revolutionizes CAE Licensing with a Pay-as-you-Simulate SaaS Model
I.S.M. Conseil needed a professional simulation tool that offered compute power for complex simulations without prohibitive licensing and hardware costs. Using OnScale Solve, a single engineer successfully ran 18 FEA simulations in less than 30 minutes, producing results 400% faster than competitive products. This paved the way for the successful and swift completion of the project.
Laparoscopy surgical procedures lead to a shorter hospital stay, faster recovery time, and less pain, bleeding, and scarring, and Asenus makes this process more efficient.
This thermomechanical simulation consists of a quarter of a solid cylindrical object with an imposed temperature field. The predicted stress due to thermomechanical expansion from the simulation results is compared against the reference solution given by the NAFEMS benchmark book.
This simulation consists of a steel W-beam with a remote force applied at an offset from one end face and the other end face is fully fixed. The predicted deflection at the free end of the beam from the simulation results is compared against the reference solution given by Roark’s Formulas for Stress and Strain.
Tufts University students entered the session with no prior OnScale Solve experience. By the end of the next hour, they had imported, meshed, restrained, and ran studies on their own Onshape models they had built in a previous hackathon design project: a full CAD playground.
When the water level finally reached 14 m above the hull, the Ever Given came free! That is how we used multi-physics simulation to unblock the Suez Canal!
When it comes to laparoscopy in the operating room, there’s no room for inefficiencies, variability, and workforce challenges. Laparoscopy refers to the surgical procedure of accessing the abdomen and pelvis with minimally invasive incisions in the skin. These methods lead to a shorter hospital stay, faster recovery time, and less pain, bleeding, and scarring, and Asensus makes this process more efficient.
Material selection is critical to design, whether in a model rocket club or F1 race car design team. Small variations in material properties such as stiffness have a large impact on everything from performance to safety. It follows that accurate simulation relies to a large degree on the accuracy of the material specification behind a simple material UI.
This “stress-testing” has paid off, and the team obtained an extremely reliable numerical model with which they can rapidly test new ideas, explore elastic wave physics, and validate experimental results.
Verathon is expecting their newest devices to be ready within a 2 month time frame, as opposed to the industry standard 18 month cycle.
