Welcome to the DiMAT Solutions Hub

Explore the cutting-edge digital tools for advanced material manufacturers developed by DiMAT.

Our solutions are designed to enhance material design, processing, and manufacturing, ensuring efficiency, sustainability, and cost-effectiveness for material manufacturing companies. Built based on the needs of actual business cases, these toolkits combine advanced data integration, modeling, and simulation across the whole material value chain. Special care has been taken to ensure user-friendliness. All toolkits are cloud-based systems accessible via web browsers, eliminating the need to download and install any applications locally.

DiKAF and DiDTPC are user-friendly and cloud-based, removing the need for local downloads. DiKAF provides an LLM-based chatbot, currently under development, which functions through a third-party API.

All other technologies used in both toolkits are open-source, as well as DiMMS and DiMPS toolikit that are developed based on freeware such as FreeCAD, PrePoMax, CalculiX, LAMMPS, OpenFoam and Python libraries for forecasting algorithms, but not only. These components provide a dependable pathway for tailored solutions according to business cases, ensuring accessibility, input-output compatibility and flexibility.

Finally, DiMM is an open source user-friendly solution that can be deployed locally or hosted in the cloud.

The DiMAT Solutions & Suites

DiMAT introduces nine digital toolkits grouped in three Suites, which are applicable depending on the material production stage and the needs of the company. Users can pick the solutions that are relevant for them, use them individually or as a group under the Suites.
DiMAT develops 3 Suites:

The DiMAT Data and Assessment Suite (DiDAS)

Includes the Cloud Materials Database, Knowledge Acquisition Framework, and MEC-LCA for efficient materials and process data management, knowledge representation, and life cycle analysis. 

The solutions within this suite represent a comprehensive set of digital tools designed to harmonize and manage diverse materials and process data, model and represent relevant manufacturing knowledge, and assess data for thorough materials environmental and cost life-cycle analyses.

Currently, these tools are being tested across various use cases in materials manufacturing, integrating simulation and experimental data, as well as materials and process knowledge related to the production of textiles, composites, glass, and graphite, ultimately culminating in a comprehensive and user-friendly life-cycle analyses.

DiMAT Modeling and Design Suite (DiMDS)

Features the Material Design Framework, Materials Modeler, and Materials Designer for advanced modeling, prediction, and material design.
The Material Design Framework is a versatile ontology-based knowledge-system that assists engineers in the complex task of materials modelling and design. It enables users at exploring databases to find suitable materials data, identify correlations within that data and determine the appropriate materials modelling approaches to accurately describe the behavior of the materials of interest.

The Materials Modeler toolkit is training its AI models to help the users in predictions on material selections and manufacturing processes. In Pilot 1 (Natureplast, Tecnored, AITEX) the toolkit has been used to test its capabilities in finding the optimal mixing of polymers and additives to obtain the requested rheological performances of the compound to be extruded. Also, its AI assistant is already working to help the companies to process their data. Users will be able to explore feature importance, causal inferences, and generate insightful data outputs, enhancing the understanding of microstructure mechanisms.

The Materials Designer toolkit is operational and has been tested by the partners of Pilot 2 (Acceligence, CETMA and CETMA Composites). The toolkit has been used to execute virtual testing and assess the properties of both traditional and recycled composite materials that will be used to manufacture components for drones. The possibility of making side-by-side comparisons is particularly effective for a rapid assessment of different solutions.

DiMAT Simulation and Optimization Suite (DiSOS)

Comprises the Materials Mechanical Properties Simulator, Materials Processing Simulator, and Digital Twin for Process Control to enhance simulation, prediction, and optimisation.

The solutions within this suite represent a set of easy-to-use digital tools for material manufacturing simulation and material behavior prediction, together with a digital twin for process monitoring and optimization. These toolkits are based on open-source software, ensuring flexibility and adaptability, and they can also be deployed as a cloud system for seamless access and scalability.

The functionalities of these digital tools have been tested in real pilot use cases, such as multiscale textile polymer industrial production, including different phases of the process such as compounding, spinning, braiding, and final product elaboration; the process modelling of composite manufacturing; the bending glass process simulation, and the application of digital twin to the analysis of furnace surfaces for the bending glass process.

Data and Assessment Suite (DiDAS)

Key Features

DiMAT Cloud Materials Database (DiCMDB)

A modern, semantics-based dataspace system for managing and harmonizing heterogeneous materials and process data. 

DiMAT Knowledge Acquisition Framework (DiKAF)

The Knowledge Acquisition Framework (DiKAF) enables users to explore, analyze, and visualize manufacturing materials and related processes through an intuitive Knowledge Graph (KG). DiKAF captures the relationships between materials, manufacturing devices, and business processes, simplifying, in this way, information retrieval and providing useful insights through advanced analytics and interactive visualizations.

DiMAT Materials Environmental and Cost Life Cycle Assessment (DiMEC·LCA)

Is a tool designed to provide high-level assessments of the environmental and economic impact of industrial processes. Through clear graphical representations, MEC-LCA simplifies complex data, providing insights into environmental impacts such as carbon emissions, resource usage, and waste, as well as cost-related aspects like energy consumption and production efficiency. This empowers businesses to easily interpret results, identify key hotspots, and make informed, sustainable decisions

Modelling and Design Suite (DiMDS)

Key Features

DiMAT Materials Design Framework (DiMDF)

An ontology-based knowledge system that empowers engineers to efficiently model and design materials by providing essential data and insights.

DiMAT Materials Modeler (DiMM)

A powerful toolkit that helps users discover and design high-performance materials quickly, putting data-driven insights at your fingertips for smarter material development decisions.

DiMAT Materials Designer (DiMD)

The Materials Designer toolkit helps create materials with new properties by modifying and combining various constituents and additives. The toolkit offers advanced simulation capabilities in a user-friendly interface, giving the user the ability to compare several designs and select the optimal material configuration based on its mechanical and thermal performances.

Simulation and Optimization Suite (DiSOS)

Key Features

DiMAT Materials Mechanical Properties Simulator (DiMMS)

DiMMS is a powerful tool designed to help businesses accurately determine the mechanical properties of materials, including stiffness, tensile strength, and fatigue resistance. With advanced numerical simulations, it provides deep insights into key characteristics such as plasticity, viscoelastic and viscoplastic behavior, damage, and fracture mechanics.

By transforming complex data into actionable insights, DiMMS enables companies to optimize material performance, enhance product durability, and make informed engineering decisions with confidence.

DiMAT Materials Processing Simulator (DiMPS)

Simulator for manufacturing conditions, processes, and optimization.

The DiMAT Materials Processing Simulator (DiMPS) is a digital toolkit designed to recreate manufacturing processes to predict materials’ behaviour when modifying the process parameters. The manufacturing processes simulation is generated by open-source programs that involve specific CAD geometry and boundary conditions using finite element Analysis (FEA) and computational fluid dynamics (CFD).

DiMAT Digital Twin for Process Control (DiDTPC)

The Digital Twin for Process Control (DiDTPC) toolkit supports monitoring, forecasting, and control of industrial processes by providing a set of digital twins that act as abstractions of IoT devices. It helps businesses optimize operations through interactive dashboards, automated alerts, and seamless communication with physical machinery for improved efficiency and precise process control.

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