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Artificial Intelligence and Machine Learning in CAE-Based Simulation

Artificial Intelligence and Machine Learning in CAE-Based Simulation?

How do these Technologies Add Value?

2​0 - 21 November 2024

Lund, Sweden


Call for Papers

Artificial intelligence (AI) and the sub-discipline of AI, machine learning (ML), are topics that are being intensively discussed in all areas of society today. In engineering the concepts of AI emerged in the field of computer science around 1955. In the field of engineering analysis with CAE systems, there has been a strong trend for the industrialization of AI and ML since the 1980s. In recent years, the combination of increased compute power, dedicated tools and huge interest in the technology has led to an exponential growth in usage. Most companies sit on a large amount of data, virtual or physical, that can be used to create models for better and smarter decision making.

One of the most valuable applications of AI/ML in CAE is physics predictions using ML models. With a limited number of simulations, a rapid prediction capability is achieved once the system has been trained. In many cases the response time of such models are seconds, compared to hours for the corresponding simulation model. This enables rapid optimization and design exploration of the system, but also for prediction of systems behavior for similar systems. The methods are physics agnostic, and apply to structural simulations, fluid/particle simulations, electromagnetic simulations, thermal simulations etc.

The input data to such models can come from physical sensors as well as virtual sensors. Thus, models based on the combination of data from simulations and the physical world are now common. Many modern digital twin systems are based on this concept, where input from the physical twin and digital twin is combined into decision models based on AI/ML. Other applications of AI/ML in CAE include clustering/characterization of results, shape recognition for model build etc. If we expand the scoop outside CAE, many hybrid applications where data from different domains, including CAE, exists. Test data management, warranty analytics, predictive maintenance are such applications.

It is clear that AI/ML integrated in CAE applications can accelerate the design process.

With this seminar, NAFEMS would like to show and discuss current applications of AI and ML in the field of CAE. We address research and development, teaching and especially users to present new results, applications, exchange ideas and discuss potential challenges. The aim is to provide a platform to unite stakeholders from the field of AI.

In order to neutrally manage the activities of NAFEMS in the Nordic countries and to represent national concerns within NAFEMS, a committee was established, the so-called NAFEMS NORDIC Steering Committee. The seminar is organized by the NAFEMS NORDIC Steering Committee and includes keynotes and technical presentations and an exhibition.

Participation is open to NAFEMS members and non-members. NAFEMS members can participate free of charge as part of their membership using “seminar credits”.

 

C​all for Presentations

You are invited to participate by telling the engineering analysis community how AI/ML is being used in your organisation and where you believe it is heading. The conference welcomes participation from every type of organisation – large and small, across all industry sectors.

Please also inform interested colleagues - many thanks in advance.

S​ee you in Lund

Y​our NAFEMS NORDIC Steering Committee

 

Details

Event Type Seminar
Member Price £515.68 | $641.16 | €600.00
Non-member Price £687.56 | $854.88 | €800.00
Credit Price Free when using 4 Member Credits

Dates

Start Date End Date Location
20 Nov 202421 Nov 2024Lund, Sweden

V​enue

Elite Hotel Ideon
Scheelevägen 27
223 63 Lund, Sweden

Main page / RegistrationAbstract Submission Form