Real-Time CFD Prediction and Visualization | AI in Engineering #2

A warm welcome to the second edition of our newsletter!?

Here, we will keep you at the forefront of the latest developments in AI, Engineering, and industry advancements and innovations.

In this newsletter, you will have the opportunity to:

• Learn about the most recent engineering technological breakthroughs
• Explore the latest resources in the field of AI for Engineering
• Stay in the loop with our newest projects and announcements

Don’t miss out - subscribe for free!

Geometry Modification and Visualization

Get to know the power of navDesign, our pioneering plugin for Blender! ?

In our recent webinar, we demonstrated how navDesign integrates with Blender, offering geometry modification and rendering features for enhanced collaboration and model manipulation.

The session covered practical insights into navDesign's applications across computational modelling, engineering, and design.?

Highlights included:

• Real-time Visualization of Geometry Modifications: Exploring the freedom to modify geometry through direct manipulation.
• Prediction of Scalar Values: Experience the efficiency and accuracy of scalar Key Performance Indicator (KPI) predictions
• Fast Predictions and Trustworthiness: Receive fast predictions for field variables and scalar KPIs and learn about the “Traffic Light” System, providing immediate feedback on the reliability of predictions.

?? Watch our latest webinar to learn more about this transformative plug-in for Blender: https://www.navasto.de/webinars/navdesign-for-blender/

POD-Based Model-Order Reduction for Discontinuous Parameters

Presenting a novel method for handling discontinuous parameters for POD+I ROMs ??

ROMs are widely used in industry but struggle with discontinuous parameters, like optional features on a car, due to rigid input data requirements. A novel method called Overset Proper Orthogonal Decomposition (oPOD) can be used to enhance reduced-order models (ROMs) based on proper orthogonal decomposition (POD).?

The oPOD method divides the full-order model (FOM) domain with discontinuous parameters into multiple ROM subdomains, allowing for compliance with ROM requirements. This enables the application of established ROM methods. The steps involved in computing ROMs using oPOD include setting up subdomains, mapping FOM data, and computing ROMs within these domains.

oPOD addresses challenges related to discontinuous parameters, complex geometry transformations, and nonlinear effects across parameter domains, particularly in industrial applications.

??Check out this article: https://www.mdpi.com/2311-5521/7/7/242

Automotive Industry Leads in Simulation Evolution

Simulation tools are increasingly valued for faster time-to-market over product performance improvements. As these tools become more accessible, companies integrate them into standard engineering workflows.?

??? The automotive industry leads in adopting advanced simulation technologies,?

In this sector, 76% of users have experience with AI and ML approaches, a higher rate than in aerospace and defence sectors.

This is likely due to the high digital maturity of the automotive industry and the need for rapid development cycles, as it also reflects their complex products and short timelines that benefit from faster simulation speeds offered by AI-based tools.

?? Learn more about the future of simulations in engineering: https://www.mckinsey.com/capabilities/operations/our-insights/unveiling-the-next-frontier-of-engineering-simulation

?? Read more about Navasto’s projects in the automobile industry: https://www.navasto.de/customers/#reference-projects

Real-Time Physics Predictions with SimScale

In collaboration with SimScale, NAVASTO has introduced a fully integrated, cloud-native AI-based physics prediction platform.?

?? This solution allows engineers and physicists to obtain instantaneous simulation results and enhances the engineering process by improving overall efficiency, product quality and time to market.

By combining NAVASTO's AI expertise with SimScale's validated PDE solver, engineers now have the flexibility to choose the most suitable approach for their specific needs, ensuring optimal efficiency and accuracy in their projects.

?? Learn more about how we use AI to solve engineering challenges: https://www.navasto.de/resources/blog/5-complex-engineering-challenges-solved-with-navastos-ai-solutions/#top

AI Enhancing Engineering Design

Navasto’s engineering solutions have helped industries across different sectors.

??Here are some benefits of using AI for design in engineering:

1. Accelerated Engineering Workflows
2. Maximized Insights from Existing Data
3. Improved Product Performance and Functionality
4. Cost-effectiveness and Sustainability
5. Collaborative Intelligence?

??Explore how NAVASTO’s AI solutions has added these benefits to engineering solutions: https://www.navasto.de/resources/blog/ai-driven-design-benefits/

To enjoy a constant stream of inspiration, industry insights, and latest innovations, subscribe today and become a member of our LinkedIn community!

The future is now.

Matthias