Motivation

This IUC provides a framework for the integration of materials data into I4.0 manufacturing data infrastructures. This will be implemented as a physical process chain of two polymer systems (sheet molding compounds (SMC), long fiber reinforced thermoplastics (LFT)). The materials data will be integrated in a material database infrastructure. The simulation models are part of a model hierarchy which will be further developed/integrated into a materials model ontology. Based on the model ontology the compatibility of simulation models and material data can be examined and analyzed. Model ontologies are a prerequisite for ontology based knowledge systems and will be made available for the class of long fiber reinforced polymers.

Overview

Main requirements:
- Data storage infrastructure and DME platform for data from different levels of the process chain
- Workflows combining physical and synthetic data on different levels of the process chain
Main Task Area: TA-WSD
Other related Task Areas: TA-MDI, TA-OMS
Possible connections within NFDI: NFDI4Ing
Material/Data: Polymeric matrix material reinforced with glass and carbon fibers / Computed tomography data, thermophysical properties on different scales (e.g., stiffness, heat capacity), process data (e.g., molding pressure or temperature), product design data (e.g., part, bead, ribs geometry)
Main Success Scenario: Users can integrate materials data into digital representations of process and manufacturing chains and make the data accessible for the community.
Added value for the MatWerk community: An infrastructural framework coupling materials data and industry-relevant manufacturing processes with their model representations (digital twins).

Goals

  • Integrate Materials Data into Manufacturing Infrastructures: Develop a framework to integrate materials data into Industry 4.0 (I4.0) manufacturing data infrastructures using polymer systems like SMC and LFT.
  • Develop Data Storage Infrastructure: Implement a storage infrastructure and DME platform for managing data from various levels of the manufacturing process chain.
  • Combine Physical and Synthetic Data: Create workflows that integrate physical and synthetic data across different stages of the process chain.
  • Establish Model Ontologies: Develop and integrate a materials model ontology to analyze compatibility between simulation models and material data.
  • Support Digital Representations: Facilitate the integration of materials data into digital process and manufacturing chain representations, making them accessible for the community.

Related Participant Projects

All Infrastructure Use Cases

NFDI-MatWerk
Funded by the German Research Foundation (DFG) under the National Research Data Infrastructure – NFDI 38/1 – 460247524

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