Increase Team Collaboration, Shorten Response Time to Customers and from Providers: AI and CAE Simulation

The availability of simulation resources (staff and IT) compared to the number of design tasks and exploration needs is a major operational challenge. Organizations who will release the potential of simulation thanks to AI will gain a significant competitive margin.

Fortunately, recent advances in Deep Learning are coming to help to overcome these obstacles. Deep Learning is already enabling global leaders in the effective mass deployment of engineering simulation impacting on several worfklows, from design optimization to real time simulation in RfQ phases.

Neural Concept Shape (Shape) is a software enabling teams to implement real-time CAD-CAE workflows efficiently by exploiting the different skills between simulation, methods and design engineers.

Applications of Shape in various industries cover many aspects of vehicle/component development. We will show use-cases, such as:

- Enabling collaboration between CAD Designers and Thermal Analysts

- Generative design capabilities with 100X reduced time with respect to
classic tools for heat exchangers

- Enabling designers with real-time verification of complex aerodynamic
shapes without being a simulation specialist

- Supporting on-the-field operations by commissioning engineers, cost
estimators, sales engineers needing quick engineering data for their RfQs

This free webinar is ideal for decision-makers in engineering who need to empower their teams with predictive engineering capabilities without toil, just using company data and Deep Learning!