19.06.2024
The NAFEMS DACH Conference 2024 was held from 10-12 June 2024 in the Bavarian city Bamberg. The old town of Bamberg is known for the many timber houses and has been UNESCO world Heritage site since 1993.
The conference was attended by many of the software vendors from DACH region and saw sessions from ‘AI ready’ in Engineering to the growing demand for SPDM (Simulation Process and Data Management) in the industry. Many of the software vendors also presented their tools and had booths to interact with the engineers at site.
VMAP SC hosted the VMAP Workshop to talk about the standard and show the latest developments. After a short introduction by the Chairperson Klaus Wolf and a technical description by marketing manager Priyanka Gulati, use cases were presented in detail. Victor Lüddemann from Fraunhofer SCAI presented the implementation of measurement data in VMAP Standard and demonstrated the use of tracker files offered by the VMAP Standard. Alexander Busch from Dr Reinold Hagen-Stiftung talked about the blow forming use case and showed the increased efficiency of workflows using the standard. Finally, Andreas Schuster from DLR provided an over of the Ultrasonic guided waves structural health monitoring and showed, how the standard is sup-porting the work at DLR for the simulation of aerospace components.
VMAP SC was also represented at the VMAP Stand, which was visited by many of the engineer coming from automotive industry, suppliers, simulation service experts and software vendors.
The event was an excellent platform to talk about the potential applications of the standard and to draw the attention of industry users and service providers to the work of the VMAP SC. As part of the SPDM workshops, 'open data formats for the use of AI' was a topic in a panel discussion with experts from Hexagon, Scale, PDTec, GNS, Digital Physics AI, Porsche, and VW. VMAP offers itself as a solution here - old data records can be transferred to the open format via VMAP converters and new simulation runs can export directly to VMAP. In addition to an open data standard, the urgent need for a uniform definition of meta-information was also expressed several times: meta-information must be created uniformly for the results of simulation runs and of phys-ical measurement campaigns so that consistent analysis or machine learning can later take place using these meta-data. These discussions showed that there is a huge demand from the industry to standardize the simulation data, such that it can be effectively used by AI/Analytics tools to carry out predictive analysis. The road forward for the industry requires an open and vendor-neutral standard and VMAP is strong candidate with great potential to support these demands.
Related Links