Presentations

The VMAP Full Model Storage Working Group is developing capabilities to store boundary conditions within VMAP files, enabling direct simulation initiation from these files. A significant application from this group involves storing numerical data, including boundary conditions, in the VMAP Standard. Jet engine design, which requires tool coupling, standardized data exchange, and support for multi-fidelity data, exemplifies the need for these capabilities. By integrating these data components into the VMAP Standard, complex use cases benefit from a comprehensive data exchange format. Current development efforts concentrate on implementing unified boundary conditions storage.
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The VMAP Complete Model Storage working group aims to store boundary and initial conditions in the VMAP file so that, in the future, a simulation can be directly initiated using the VMAP file. While the original use cases of VMAP addressed the storage of simulation results, a common interest is to also ensure their reproducibility. Integration of all necessary boundary and initial data in numerical form into the VMAP Standard will provide a comprehensive data exchange format. This presentation will give an overview of the current state of the work.
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Different representations of the same problem for different solution techniques are used in the assessment process. Due to the heterogeneity of the abstractions, solvers and their result data, interface implementations and wrappers around this information are required. For the investigated prototypical case, this includes discretization-dependent results as well as three-dimensional point cloud data. The present publication describes the interface & continuity approach based on the COmmon Structural Mechanics fOrmat (COSMO) language and the VMAP implementation as well as the requirement for mapping functions based on state-of-the-art interpolation methods.
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Over the past few years, VMAP has supported the storage and exchange of various results, enabling seamless multi-disciplinary workflows. In such workflows, where multiple software solutions are utilized, VMAP ensures that results can be shared and processed without regression.

The MpCCI tools are a collection of software designed to facilitate the coupling of various simulation programs. They enable the consideration of multiple physical effects in simulations by ensuring seamless data transfer between different software packages.
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A preliminary framework has been conceptualized, outlining the foundational architecture for ontology-based data management. We are now refining this framework, incorporating advanced technologies to enhance scalability, automation, and interoperability, ultimately driving smarter and more connected digital manufacturing ecosystems. This research contributes to the development of a smarter, more connected digital manufacturing ecosystem, fostering collaboration, efficiency and data-driven innovation.
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The additive manufacturing process laser-based powder bed fusion of metals (PBF-LB/M) is revolutionizing manufacturing industry by enabling the creation of highly complex three-dimensional metal structures through the precise melting of powder using a laser beam. The EU project InShaPe aims to push the boundaries of this technology by leveraging innovative techniques such as beam shaping and advanced process temperature monitoring with multispectral imaging. This will enhance the productivity, sustainability and economy of the process by increasing the process speed, reducing the energy consumption and avoiding waste (e.g. spatter and support structures). An overview of the two developed innovations installed on an EOS M290 is given in Figure.
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Through the Horizon projects ALABAMA  and GEAR-UP  we aim to further develop the laser-based additive manufacturing methods to significantly improvements within speed, material microstructure and performance, environmental impact and cost.
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PIONEER aims the development of an open innovation platform and interoperable digital pipeline for addressing a design-by-simulation optimisation framework. It integrates inline feedforward control strategies for enhancing the efficiency of the industrial systems in high-mix/low-volume production schemes. This approach connects materials modelling and materials characterisation, simulation-based digital twins and data-driven models, updated through distributed production data from embedded IoT edge devices and product quality.
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The field of Materials Science and Engineering (MSE) is undergoing a transformative shift towards digitalization, emphasizing the need for structured and interoperable data management. The Platform MaterialDigital Core Ontology (PMDco), now in version 3.0, addresses these challenges by providing a robust mid-level semantic framework. PMDco bridges the gap between abstract high-level ontologies, such as the Basic Formal Ontology (BFO) standardized in ISO/IEC 21838-2, and highly specific domain terminologies to ensure consistency and interoperability across diverse MSE applications. Developed through MSE community-based curation, PMDco facilitates the integration of real-world data from experiments, simulations, and industrial processes.
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The work in the Bioinformatics business area represents the entire data-based value chain of translational biomedical research in science and industry. Using automated processes, biomedical knowledge is extracted from scientific literature and made available in searchable, structured form. Semantic technologies help to represent complex biological and medical knowledge in comprehensive knowledge graphs. These computer-readable models map entire medical indication areas. One example is the complete complex of neurodegenerative diseases, such as Alzheimer’s or Parkinson’s. The knowledge-based models are then used to interpret and model patient-related data and make individualized predictions. Another research topic is data-driven models in drug development. Current big-data architectures and modern methods of machine learning and artificial intelligence are used in this work.

In response to the EU Regulation (EU) 2023/1542, the BASE project aims to develop a Digital Battery Passport (DBP) service that enhances transparency and sustainability throughout the battery lifecycle. To maximize its utility, the initiative brings together several partners from diverse sectors, including automotive, marine, and stationary energy storage. Ultimately, the Regulation seeks to facilitate a transition from a linear to a circular economy in the battery industry. To achieve that, a complex, global network of material flows has to be mirrored by a complementary flow of information enabling customers to make informed decisions and providing recyclers with the essentials for efficiently closing the loop. As a legally compliant service, the DBP relies rather on semantic modelling than on AI to capture the physical and logical framework of the battery and battery value chain data. We will discuss the chosen approaches to represent the physical device, the up- and downstream data flows, as well as some practical challenges. Download

The ALABAMA, RESTORE, and GEAR-UP projects are revolutionizing manufacturing technologies through multi-physics modelling. These initiatives tackle urgent challenges, including process optimization, sustainability, and material efficiency in the aerospace, automotive, marine, and manufacturing industries.  However, a lack of standards poses a significant challenge to integrating, structuring, and exchanging simulation data across disciplines. This ensures efficiency, interoperability, and AI readiness in multi-physics modelling workflows.
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In this talk, we present a bottom-up approach to overcome this barrier, starting with flexible vocabularies tailored to specific use cases and linking them to upper-level ontologies at a later stage. This pragmatic approach enables a swift path to interoperability by removing the need for a fully developed ontology as a prerequisite.
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The Groeien met Groen Staal (GGS) program seeks to transform the Dutch steel sector into fully green steel by 2050. Over 31 industrial and research partners will develop and demonstrate innovative technologies to meet Dutch and European sustainability goals by 2030 and 2050. This initiative involves prominent private companies such as Bosch, Philips, SKF, Tata Steel, and Volvo, as well as international collaborators and educational institutes led by the Dutch M2i (Materials to Innovation) institute. The program’s impact areas include climate goals, economic benefits, resource autonomy, and human capital. The initiative is structured into five themes: system change, production, processing, use, and recovery, encompassing 43 projects.
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In the pursuit of efficiency, Volkswagen is intensifying its virtual development processes across the entire automotive development cycle. Central to this transformation is the streamlining of CAE simulation and complex data management aspects. The adoption of vendor-independent standardized data formats, such as VMAP, is an important building block in this endeavour. The various beneficial aspects of standardized data formats — such as support of simulation workflows, enrichment with machine readable meta data, and cooperation with simulation data management systems — are discussed with respect to the digitalization of the automotive development process.