Periodic Reporting for period 1 - DiMAT (Digital Modelling and Simulation for Design, Processing and Manufacturing of Advanced Materials)
Reporting period: 2023-01-01 to 2024-06-30
The goal of the DiMAT Project is the creation of Open Digital Tools with a set of advanced technologies for offering SMEs and Mid-Caps an affordable (in terms of cost, implementation and usability) full modelling, simulation and optimisation system in each stage of the material value chain (design, processing and manufacturing) with data analysis services and visualisation techniques to facilitate more efficient design space exploration via experimentation, thereby reducing physical testing and improving quality, sustainability, effectiveness, and competitiveness of materials.
The DiMAT Project will be particularly focused on addressing problems and business cases of SMEs, which cannot generally afford to use costly modelling, simulation and optimisation systems, providing open-source tools based on open standards like MODA and CHADA and ontologies like EMMO, with fully documented external programming interfaces in order to be interoperable with Enterprise Applications (ERP, MES, APS, etc.).
The DiMAT Suites will be offered to SMEs and Mid-Caps according to a cloud Software-as-a-Service (SaaS) paradigm, implementing a cost-effective way for companies to exploit materials knowledge acquisition, modelling, simulation and optimisation functionalities without the need of high initial investments in infrastructure setup and maintenance and without the need to rely on specific IT skills to develop or customise the required functionality, thereby enduring the transition of SMEs and Mid-Caps towards industrial digitalisation.
The DiMAT Toolkits will be adapted to SMEs and Mid-Caps characteristics, providing advanced knowledge-based tools to improve the material design, processing, manufacturing processes contributing to increase the capability of a better and faster reaction to market changes, boosting the companies’ competitiveness. DiMAT will implement a knowledge base to interlink the simulation-based twin technologies with data-driven approaches, using open-source implementation of AI algorithms in open-source modellers and simulators.
The DiMAT project will demonstrate its results in four pilot use cases that represent four relevant material production scenarios. These scenarios will be explored and fully implemented and evaluated. The case studies will summarize the context and situations prior to and following the implementation of DiMAT Solutions, along with an estimate of the enhancements in the KPIs. The pilots will be implemented under real-world conditions to show the applicability and impact of the project and its results. This will help to validate that the technology readiness level of the tools implemented are at least at level 6. DiMAT pan-european consortium entails Industrial partners: NaturePlast SAS (innovative renewable plastic compounds), TECNORED (Melt spinning company - fishing nets, construction safety nets, threads and ropes), ACCELIGENCE LTD (development of UAVs, haptic technology, robotic solutions), CETMA COMPOSITES - CETCOMP (composite materials), HEGLA (glass manufacturing), IMERYS (synthetic and natural graphite, carbon black). R&D partners: CERTH, UPV, NTUA, FRAUNHOFER, AITEX, SUPSI; Technology Providers: CETMA, DRAXIS, AMS, ROPARDO; Specialist Partners: F6S (Dissemination, Exploitation), DIN (Standardisation).
The DiMAT Project will be particularly focused on addressing problems and business cases of SMEs, which cannot generally afford to use costly modelling, simulation and optimisation systems, providing open-source tools based on open standards like MODA and CHADA and ontologies like EMMO, with fully documented external programming interfaces in order to be interoperable with Enterprise Applications (ERP, MES, APS, etc.).
The DiMAT Suites will be offered to SMEs and Mid-Caps according to a cloud Software-as-a-Service (SaaS) paradigm, implementing a cost-effective way for companies to exploit materials knowledge acquisition, modelling, simulation and optimisation functionalities without the need of high initial investments in infrastructure setup and maintenance and without the need to rely on specific IT skills to develop or customise the required functionality, thereby enduring the transition of SMEs and Mid-Caps towards industrial digitalisation.
The DiMAT Toolkits will be adapted to SMEs and Mid-Caps characteristics, providing advanced knowledge-based tools to improve the material design, processing, manufacturing processes contributing to increase the capability of a better and faster reaction to market changes, boosting the companies’ competitiveness. DiMAT will implement a knowledge base to interlink the simulation-based twin technologies with data-driven approaches, using open-source implementation of AI algorithms in open-source modellers and simulators.
The DiMAT project will demonstrate its results in four pilot use cases that represent four relevant material production scenarios. These scenarios will be explored and fully implemented and evaluated. The case studies will summarize the context and situations prior to and following the implementation of DiMAT Solutions, along with an estimate of the enhancements in the KPIs. The pilots will be implemented under real-world conditions to show the applicability and impact of the project and its results. This will help to validate that the technology readiness level of the tools implemented are at least at level 6. DiMAT pan-european consortium entails Industrial partners: NaturePlast SAS (innovative renewable plastic compounds), TECNORED (Melt spinning company - fishing nets, construction safety nets, threads and ropes), ACCELIGENCE LTD (development of UAVs, haptic technology, robotic solutions), CETMA COMPOSITES - CETCOMP (composite materials), HEGLA (glass manufacturing), IMERYS (synthetic and natural graphite, carbon black). R&D partners: CERTH, UPV, NTUA, FRAUNHOFER, AITEX, SUPSI; Technology Providers: CETMA, DRAXIS, AMS, ROPARDO; Specialist Partners: F6S (Dissemination, Exploitation), DIN (Standardisation).
At the project's start, a conceptual vision was set, detailing advanced technologies for modeling, simulation, and optimization throughout the material value chain. A data management system was established with DiMAT solutions and KPIs defined. By M9, the DiMAT Architecture was in place, and by M18, the framework was designed, defining viewpoints, KPIs, requirements, and specifications. Ontologies and data models for interoperability were also analyzed from various perspectives including business, usage, functional, and implementation.
By M18, the first version of DiMAT solutions was released, detailing principles, development, design, and inter-solution communications. Deliverables and demos were provided for solution development. The experimental base for DiMAT Solutions was then initiated, applying methodologies in pilot projects with specified scenarios. The first pipelines for data collection and processing were prepared.
From M1 to M18, DiMAT engaged in multiple events, conferences, and publications. Dissemination activities included papers, presentations, and materials on the project website, LinkedIn, and YouTube.
By M18, the first version of DiMAT solutions was released, detailing principles, development, design, and inter-solution communications. Deliverables and demos were provided for solution development. The experimental base for DiMAT Solutions was then initiated, applying methodologies in pilot projects with specified scenarios. The first pipelines for data collection and processing were prepared.
From M1 to M18, DiMAT engaged in multiple events, conferences, and publications. Dissemination activities included papers, presentations, and materials on the project website, LinkedIn, and YouTube.
DiMAT aims to boost digital tech adoption in material design and production, enhancing quality, sustainability, and competitiveness. The project will create industry-ready digital tools using existing technologies and open-source software, including the DiMAT Open Cloud Materials Database and a modular digital twin concept. AI-based solutions will optimize manufacturing processes, and established semantic technologies will ensure interoperability. DiMAT will offer new services for material design and manufacturing, improve integration between materials science and engineering, and support a sustainable industry.
Socio-Economic Impact:
Cost Reduction: Predicting material properties accurately lowers R&D costs by reducing experimental trials, benefiting industries like aerospace and automotive.
Accelerated Innovation: Faster material development leads to quicker innovation cycles, boosting industry competitiveness and economic growth.
Job Creation: Increased adoption of our tools will create demand for data science and materials engineering professionals.
Wider Societal Implications:
Sustainable Development: The project promotes efficient, durable, and eco-friendly materials, supporting sustainability goals by reducing waste and extending product lifecycles.
Enhanced Safety and Performance: Improved materials lead to safer, more reliable products, enhancing societal well-being.
Socio-Economic Impact:
Cost Reduction: Predicting material properties accurately lowers R&D costs by reducing experimental trials, benefiting industries like aerospace and automotive.
Accelerated Innovation: Faster material development leads to quicker innovation cycles, boosting industry competitiveness and economic growth.
Job Creation: Increased adoption of our tools will create demand for data science and materials engineering professionals.
Wider Societal Implications:
Sustainable Development: The project promotes efficient, durable, and eco-friendly materials, supporting sustainability goals by reducing waste and extending product lifecycles.
Enhanced Safety and Performance: Improved materials lead to safer, more reliable products, enhancing societal well-being.