In this blog post, discover how Geometric Deep Learning turns untapped engineering knowledge locked in CAD archives into a systematically searchable, reusable asset. We're currently developing the approach across the entire process chain — from manufacturing planning to quality assurance.
Testing the weldability of multi-sheet joints, e.g. 3-sheet joints, is an important technical prerequisite for the producibility of car bodies. Testing so far has been mainly done by experiment. Read in this article how a dedicated machine learning model is now used to forecast the weldability of multi-sheet joints and, therefore significantly reduces the experimental testing effort.
As an innovation incubator, we pick up on disruptive technologies at an early stage and match them with value-adding use cases. We have used the potential of large language models and complementary methods to develop an AI chatbot to support store floor employees in the efficient handling of technical documentation and operating manuals.
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