Rapid Aerodynamic Development using CFD and Machine Learning
This blog illustrates how aerodynamic data obtained from the 3DS CFD PowerFLOW software combined with data-driven methods can enable car manufacturers to obtain clean 3D contour plots of the vehicle’s surface X-force distribution, the associated integrated vehicle drag force and more within several minutes on a single GPU By Dr. Faron Hesse Summary The vehicle […]
Structural Antenna Engineering for Tires
This highly integrated MODSIM workflow brings associativity between a parametric CAD and high fidelity multiphysics simulation for the better understanding of tires By Chris Jones Introduction For a certain category of customer, tire manufacturers are moving away from just selling a new set of tires every year. Many large-scale fleet providers are starting to embrace […]
Tire Engineering: Cleat Impact | Advanced Methods Development
Industry Analysts are predicting that vehicle miles traveled globally will double to 20 trillion miles by 2030. Advanced methods for Cleat Impact will enable tire manufacturers to comply with increasing regulations. By John Lewis Introduction Industry Analysts are predicting that vehicle miles traveled globally will double to 20 trillion miles by 2030. The trend towards […]
Necking of a Titanium Dogbone
Step-by-step instructions for a titanium dogbone example using the Calibration App By Tod Dalrymple There is an older version of the Necking of a Titanium Dogbone example, and the older version does the normal thing and models the titanium with a classic Mises plasticity, linear elastic-plastic material model. That earlier example can be found here: Necking […]
Use Machine Learning to Optimize Weld Integrity
As a welded part cools down, residual stresses form within the part. The structural performance of a weld depends heavily on the parameters of the welding process, such as heat input, welding paths, and fixture designs. Simulation can model the weld process in order to calculate the residual stress distribution and deformation within welded submarine […]
Ask an Engineer: What is Machine Learning and Neural Networks?
An interview with SIMULIA’s Jing Bi, a Technology Senior manager who specializes in physics-based simulation technologies using machine learning By Katie Corey Originating from brain simulations, neural networks is a subset of machine learning. It’s a theoretical model of how the human brain works. Input and output data are fed to the network, and connections […]
Everything SIMULIA Multibody Simulation
Interested in learning more about SIMULIA’s Multibody Simulation solutions? We’ve got all the resources you need right here to get started! By Katie Corey Noise, vibration and harshness (NVH) has a significant impact on the ride experience for drivers and passengers inside vehicles. Controlling the noise and vibration produced by the drivetrain improves the quality […]
Gooaaalll!!! Soccer Simulation with Structural Mechanics Engineer Role
We talk to Mattias Robertsson, Industry Process Senior Consultant, to walk us through a soccer simulation workflow using the Structural Mechanics Engineer role and Abaqus/Explicit solver By Katie Corey Why does this workflow need to be analyzed? As part of my learning process I thought it would be a fun video to show some simulation […]
Democratizing Engineering Analysis Through a Universal Material Subroutine
The recent webinar playback for Democratizing Engineering Analysis Through a Universal Material Subroutine with Dr. Ellen Kuhl from Stanford University and Dr. Mathias Peirlinck from Delft University of Technology is now available in the SIMULIA Community. Listen as they share their expertise on democratizing engineering analysis through a universal material subroutine By Katie Corey Constitutive […]
Workflow for Patient-specific Femur Simulation
Hear from SIMULIA Champion, Professor Stefanie Feih of Griffith University, about how orthopedic surgical planning can now leverage patient-specific neuromusculoskeletal models to determine physiologically plausible muscle and joint contact forces comprising points/areas of application, magnitude, and direction. Finite element analysis (FEA) is subsequently employed to estimate stresses and strains in the implants and their host […]