Incorporating advanced technologies such as AI and data analytics into their design processes can help mechanical engineers leverage large amounts of data. Focusing on upfront mechanical design, we dive into the topics of AI and Data Science for mechanical engineers and show the up-and-coming applications of Deep Learning to 3D simulation with three use cases.
In this video, you can see how the user is able to navigate on the performance map, evaluating the behavior of the design on specific operating conditions, for different values and views (pressure field, velocity field, etc.). Then, the user can upload a new geometry, and get the instantaneous predictions of the model on the whole range of operating conditions.
Orbital Stack, the CFD tool created by global leaders in wind engineering and microclimate analysis, RWDI, partnered with Engineering Intelligence firm, Neural Concept, in order to add the power of AI to their App for structural engineers. Orbital Stack makes climate-informed design easy, affordable, and understandable.
Neural Concept is on a mission to guide engineers towards radically better designs while speeding up their workflow. In this article, we show how SP80 managed to improve their ventilating hydrofoil performances by more than 20%, using NCS in their standard design workflow.
