Fraunhofer IWM offers the following services:

• Solutions to prevent and control defects, crack formation, deformation, fracture, failure, wear, and fatigue in materials and components when taxed with mechanical, thermal, chemical or electrical loads
• Material characterization, component testing, failure analyses, defect diagnosis, and microstructural analysis
• Materials modelling, process and component simulation on the atomic, microscopic, mesoscopic and/or macroscopic scale
• Evaluation of surface layers, coatings, tribology, functionalization, bio-surface, and interface analysis
• Process and material development

Especially in the area of digitalization of materials, the Fraunhofer IWM offers:

• Conception and implementation of workshops for digitalization of material-intensive production chains (determination of requirements, analysis, obstacles, possible solutions)
• Support for the elaboration of process and material ontologies
  Hierarchical description of materials by data achieved from experiments and simulations alongside processes
• Generation of digital data sets and representations of materials
• Design and development of materials data spaces
• Integration of material data in a digital twin for materials, processes, and components including multiscale modelling techniques like virtual testing (Virtual Lab)
• Finding and attaining structure-property-relationships of new material systems
• Using material information as a means of control within the production process
• Digital imaging for more detailed analyses of the material
• Linking material histories including e.g. general information, experimental observations and the predicted behaviour in order to improve your material, process and component by analysing the material histories
• Automatic material data creation (e.g. 3D structure capturing, microstructure analysis, tribofarming)
• Top-down/bottom-up informed modelling of material properties ranging from the atomistic to the component scale (multiscale information exchange)
• Data analysis for the development of structure-process-property relationships (deep learning and statistics)
• Automatic generation of material card
• Semantic technologies via ontologies for the Open Innovation Environment (OIE) of the OYSTER and the MarketPlace Horizon2020 funded EU-projects
• Know-how in the European Materials & Modelling Ontology (EMMO)