GKN Fokker Aerospace BV, a leading aircrafts part manufacturing company want to use their historical simulation data to make effective analysis of an aircraft wing structure using nvision, an AI-powered surrogate modelling tool by Noesis Solutions. How does the recycling of the dormant know-how of a company and training of surrogate models with past simulation data for a safer and a more competitive product with a shorter time-to-market and lesser usage of resources?
Structural analysis plays a crucial role in aircraft engineering as it has a direct impact on safety. For each new product going on the market, several impact tests are done to ensure the robustness of the design creating a vast amount of simulation data. Studying the damage curves from an older design helps engineering designers to make data-led decisions from the beginning of their design journey. n this case study, we discuss how nvision, an AI-powered surrogate modelling tool by Noesis Solutions, enables to generate insights from historical simulation design data, to create competitive products for the future, while saving time and resources.
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