Breaking the trade-off between product quality and development time, using 3D Deep-Learning algorithms.
OEMs and Tier 1 in the automotive & aerospace industries are currently having to transition to new type of products and components. Trends such as vehicle electrification are forcing this transition hence creating a need to drastically increase the speed and the efficiency of the product design development.
Unlock 2030 technologies today
The product is optimized very early on, which results on best-in-class performance and reduced late stage failures. Design engineers are guided to create products beyond what is normally achievable with conventional design tools.
Speed-up product delivery
>90% lead-time reduction
By having access to physics simulation results in seconds instead of hours or days, CAD teams can iterate at a significantly faster pace than today. It makes them operate more efficiently with CAE teams, reducing drastically the iteration time between the different teams. The project or RFQ is then completed much faster.
CAD team operational twice faster
Design engineers are better guided in their choices by the algorithm and therefore need less intuition about the product and less trainings. This reduces substantially the involvement and time from the CAE team. Consequent cost savings are achieved through the efficient use of resources and competences.
Shape provides physics-related insights directly from the CAD tool and guides the designer towards better performance
No more meshing, no more waiting, no more failures.
Design Optimisation of Heat-exchangers
In the quest for a greener mobility and more ambitious regulations, heat exchangers need to be as efficient as possible, especially for electric vehicles which have a lower-energy storage capacity.
Lighter and Crashworthy Vehicles
How to find the optimal compromise among all contrasting requirements, such as weight, reliability and cost? The product development process is unique and tailored like the products & designs themselves, and such is the outcome of design explorations to find the most innovative solutions.
Leveraging Engineering Data to Speed-up Design Cycles
How to massively accelerate product design cycles? We decreased by 97,5% the number of CFD simulations needed to design a new external car aerodynamics, while meeting all functional requirements.