#caesesuc2024, Deep Dive on Graph Neural Networks, AI-Enhanced Turbomachinery | AI in Engineering #8
Matthias Bauer
Design & Optimise Your Product in Real-Time| Bridging AI, Engineering & Design
A warm welcome to the eighth edition of our newsletter!?
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AI and Marine Engineering – Insights from #caesesuc2024
At the recent CAESES User Conference (#caesesuc2024), Dr. Jakob Lohse from NAVASTO delivered an engaging presentation on AI and ML for Marine Applications. Jakob highlighted how AI and ML are reshaping the marine industry, particularly in solving intricate engineering problems with data-driven solutions.
A key focus of the presentation was the AutoPlan R&D project, an initiative that involves developing parametric models and ML simulations to optimize planing hull designs. We shared case studies where NAVASTO’s tools achieved precise predictions for critical metrics like thrust, heave, and pitch, often with deviations as low as 0.23%.
Further advancing marine applications, we explored transfer learning, where AI models trained on one dataset are fine-tuned using a small amount of new data to generalize across similar designs. This continual training approach improves model accuracy, making AI a robust tool in marine design and optimization.
NAVASTO’s work showcases the potential of AI/ML in handling the complexities of marine engineering, from predicting wave elevation to reducing thrust requirements!
?? Visit us for more insights on how our AI solutions are transforming the marine industry: https://www.NAVASTO.de/
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Transforming Engineering with AI: Real-Time CFD Like Never Before!
At NAVASTO, we’re taking a modern approach to engineering workflows by combining AI with real-time CFD. In our latest video, AI-Accelerated Engineering: Real-Time CFD for Engineering Challenges, our CAE Engineer, Jakob Lohse breaks down how Graph Neural Networks (GNNs) are changing the game for CFD simulations.
With GNNs, engineers and designers can collaborate faster and more intelligently, making decisions based on real-time CFD results.
??Imagine optimizing flow fields, pressure distributions, drag, and lift on the spot—no more waiting around for simulations!?
This deep dive highlights the flexibility, efficiency, and accuracy of GNNs, which handle various inputs and outputs without complicated constraints. You’ll also see how NAVASTO’s NAVPACK API easily fits into current workflows, making design decisions quicker and more informed.
?? Watch the full deep dive on YouTube: https://youtu.be/9QqhxQu5ry8?t=0
Boosting Turbomachinery Design with AI
In our partner SimScale’s recent blog post, the spotlight is on how AI and cloud-native simulation drive more efficient, accurate turbomachinery designs. Integrating AI with CFD transforms the design process, enabling engineers to make smarter decisions faster.
Together, NAVASTO and SimScale are bringing advanced AI simulation tools directly into the hands of engineers, enabling them to tackle the growing challenges of simulation design with more confidence and speed.
?? Read the full blog post here: https://www.simscale.com/blog/turbomachinery-design-ai-simulation/
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Matthias