NRC Predicts Corrosion in Multimaterial Car Structures with Apps
Danick Gallant, NRC, Canada
To achieve fuel efficiency goals, conventional materials for car structures, such as structural steel, must be combined with lighter materials, such as aluminum. Scientists at the National Research Council Canada (NRC) develop corrosion-resistant multimaterial assemblies containing both aluminums and steels as well as optimize the cost-effective processes for their mass production. NRC employed multiphysics simulation to develop mathematical models and simulation apps capable of predicting corrosion behavior that speed up the development of corrosion-resistant assemblies and drive innovation in automotive lightweighting.
Suggested Stories
Designing the Gold Standard of Immersive Audio for Virtual Reality Gaming
Tectonic Audio Labs used electromagnetics, mechanical, and acoustics simulation to develop a state-of-the-art balanced ...
Wind Turbine Noise Reduction
Xi Engineering Consultants Ltd specializes in complex vibration issues, like those caused by wind turbines. The ...
Making Smart Materials Smarter with Multiphysics Simulation
Smart materials with magnetostrictive behavior are engineered and incorporated in high-precision devices by the ...
Training Uncrewed Underwater Vehicles for Visualization of Subsurface Structures
By using simulation apps and machine learning techniques, USM researchers are laying the groundwork for UUVs capable ...
