Challenge & Solution
“The process of designing and improving products is time-consuming, expensive, and involves a lot of repetitive work. In addition, solving complex problems with many input variables requires extensive knowledge.”
UptimAI allows engineers to quickly understand the nature of the problems and propose innovative solutions. At the same time, it automates a large part of the work, hence reducing the overall development time and providing more space for creativity.
How it works
UptimAI works as an add-on to simulation tools and is designed to complement engineering simulations with probabilistic and statistical insights. The whole process of using UptimAI is very simple:
Connect UptimAI with your simulation or calculation tool. UptimAI is a non-intrusive solution, so it does not interfere with the simulation platform or the operating system.
Enter the statistical inputs reflecting the real operating conditions into UptimAI. You can design the inputs yourself, use predefined probability distributions or the measurement data.
The UptimAI Algorithm creates a metamodel of the solved problem, while automatically adapting to it and thus speeding up the whole process. Further analyzes of the problem already use the metamodel, therefore they run much faster.
UptimAI clearly visualizes the links between input variables and the resulting product properties, providing a comprehensive insight into the problem.
Faster design process, more reliable results.
Easy To Use
We used UptimAI in two projects for the automotive industry. The first project concerned the properties of the car’s structure and the second one involved the load on the dummy in the event of a car crash. UptimAI confirmed the specific benefits of the method used and its practical applicability in car development. We were satisfied with the quality of the outputs, intensive technical support, and especially with the active and flexible approach of the UptimAI’s team.
Karel Beneš, Senior Technical Consultant
UptimAI provided us with a deeper insight into problems of the buckling of a pressurized cone with stringers and compressed fiber-reinforced composite panel. The tool quickly described the effects of changes in geometric and material parameters while its outputs clearly showed us the necessary dependencies. UptimAI was easy to couple with the MSC Nastran solver and was easy to use as well.
Jan Šplíchal, Aircraft Structures – Assistant Professor
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