Background: The digitisation in materials and manufacturing industry is of highest importance for any company that wants to keep and advance its position in the market. Many companies - majorly within logistics domain - have already introduced digital twins.
On the production floor, Industry 4.0 solutions find their way into industrial applications. They help to enhance automation and interaction on machine level. However, if producers of advanced materials and complex parts need a more detailed look into the ongoing manufacturing processes and changing material properties, they will not find solutions today.
Industrial Use Cases: In materials and manufacturing design, process and product improvements are realised either by prior (virtual) product and process simulations or by analysing (real) data of a posterior source. Although, both approaches have led to process and product improvements over the last years, there is a large untapped potential in the form of a combined approach. Within VMAP analytics, we will have eight industrial use cases representing a broad variety of materials and process classes.
Common Demands: These eight industrial use cases will show broad commonalities with respect to their clear need for more standardisation and interoperability on various software and machine levels: multi-scale simulations, real experiments and sensors, and machine control. The next step of digitisation in manufacturing industry needs a much better standardisation of information and formats. The realisation of smart Digital Twins strongly depends on the interoperability of software and hardware solutions in their domain.
Project Vision: The vision of VMAP analytics is to enable the realisation of smart Digital Twins for materials and manufacturing design tasks. The VMAP interface standard will open the initial VMAP standard for multi-scale models, sensor and measurement data, and information from production machines. VMAP analytics will provide an open ontology for engineering processes in materials and manufacturing design. Both together – interface standard and open ontology - will enable a broad use of semantic search and artificial intelligence methods in these classical engineering disciplines. Technical results and gained best practices will enrich the VMAP engineering community.
Approach: The approach of VMAP analytics is to extend the current VMAP-1 standard stepwise. The VMAP analytics standard will introduce new domain levels. Software tools and machines supporting interface standard will provide data for (company internal) Digital Twins. In combination with the open ontology framework, a broad set of analytics and ML/AI solutions can be applied to these data – and will lead to higher product quality and more efficient manufacturing processes.
Results: The project will deliver the VMAP analytics interface standard and an open ontology for materials and manufacturing design tasks. Both together and the best practices from eight industrial use cases will help the open VMAP community to further push and promote the world-wide VMAP standardisation efforts.
Consortium: The consortium has a broad collection of experiences from different domains: classical engineering, measurement and sensor technology, machine and production processes, and finally analytics and ML competences. More than 40 partners from seven countries provide a valuable and strong base for all planned development and standardisation activities.