Modelling and Simulation


The Numerical Simulation research group focuses on fundamental and application-oriented research in additive manufacturing, with a particular emphasis on Electron Beam Powder Bed Fusion (PBF-EB). The group’s work makes a visible international contribution to the advancement of this technology and is positioned among the leading research efforts worldwide in this field. Central to the research is the development of physically sound simulation approaches that enable a deep understanding of the highly dynamic phenomena occurring during the manufacturing process and open new pathways for targeted process and materials design.

Purely experimental approaches in additive manufacturing quickly encounter fundamental limitations. Key process quantities such as local temperature fields, highly time-resolved thermal cycles, or solidification conditions are only accessible to a limited extent or not directly measurable at all. At the same time, systematic experimental parameter studies are often associated with considerable effort and cost. Against this background, numerical simulation constitutes the primary scientific instrument of the research group, providing access to critical process mechanisms with high spatial and temporal resolution.

The group develops and extends proprietary simulation models and methodological tools that go beyond established standard approaches and actively contribute to the advancement of simulation technology in additive manufacturing. These models enable the quantitative prediction of thermal fields, process dynamics, and microstructural evolution as a function of beam guidance, scan strategy, component geometry, and material properties. In this way, complex interactions within the PBF-EB process become systematically accessible, allowing novel process strategies to be designed and evaluated virtually prior to experimental implementation.

A core principle of the research is the tight coupling of simulation and experiment. Experimental observations are used to validate and parameterize the numerical models, while simulation-based insights directly inform new experimental questions, measurement concepts, and process variants. This reciprocal interaction enables highly targeted experimental investigations and significantly accelerates the generation of scientific insight beyond purely empirical approaches.

Furthermore, numerical simulation provides a key link to alloy development. Detailed analyses of temperature–time histories, cooling rates, and thermal cycling yield essential information on solidification conditions and microstructural evolution. On this basis, alloys can be specifically adapted to the boundary conditions of additive manufacturing processes, and new, material-specific process windows can be established. In this way, the research group contributes not only to process development but also to the materials-driven advancement of additive manufacturing technologies.





Term: 1. November 2021 - 31. October 2027
Funding source: ERC Advanced Grant
Acronym: AMELI
Project leader:

Additive manufacturing (AM), a bottom-up approach that ‘adds’ successive layers to produce a component, has reduced the cost, time and materials’ waste of aerospace parts production while enhancing the design space and properties. Powder bed fusion-electron beam (PBF-EB) AM begins with metal powders that are melted to form the layers. The challenge is to control the AM process to ensure the desired local materials properties. The EU-funded AMELI project will integrate PBF-EB AM with powerful sca…

More information

Term: 1. June 2024 - 31. August 2027
Funding source: Bundesministerium für Wirtschaft und Klimaschutz (BMWK)
Acronym: AMTrieb
Project leader:

More information

Term: 1. January 2016 - 31. December 2023
Funding source: DFG / Sonderforschungsbereich / Transregio (SFB / TRR)
Acronym: SFB/TRR 103 (C07)
Project leader:

A new numerical tool will be explored that supports the experimental alloy developer in defining new compositions with potential for high strength. Starting with a composition space that is defined by the developer based on his metallurgical experience and his design goals, the numerical tool will propose the most promising compositions. The research program will on the one hand address open questions regarding the mathematical optimization in this application and on the other hand new models fo…

More information

Term: 1. December 2020 - 30. November 2023
Funding source: Bundesministerium für Wirtschaft und Energie (BMWE)
Acronym: SAPHIR
Project leader:

More information

Term: 1. July 2019 - 30. June 2023
Funding source: DFG - Sonderforschungsbereiche
Acronym: SFB 814 (C5)
Project leader: ,

Based on the gained knowledge of projects B4 and C5, the aim of this project is to account for the influence of part borders on the resulting material/part-mesostructure for powder- and beam-based additive manufacturing technologies of metals and to model the resulting meso- and macroscopic mechanical properties. The mechanical behavior of these mesostructures and the influence of the inevitable process-based geometrical uncertainties is modelled, verified, quantified and validated especially fo…

More information

Term: 1. January 2018 - 30. June 2022
Funding source: DFG / Sonderforschungsbereich (SFB)
Acronym: SFB 814 (T2)
Project leader: ,

The aim of this project is to facilitate additive manufacturing of bulk metallic components by selective laser melting based on predictive numerical simulations. There should be developed suitable process strategies to ensure the amorphous material state preferably without aging effects in the bulk as well as for complex geometries. Therefore, clear statements using the numerical simulation has to be made exceeding the temperature field and the material consolidation during manufacturing towards…

More information

Term: 1. April 2019 - 30. September 2021
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Project leader:

More information

Term: 6. June 2017 - 5. June 2020
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Project leader:

Beam-based additive manufacturing (AM) of metals in a powder bed not only offers the opportunity to build complex, custom-made components of high-performance materials, but also to adjust the local material properties by proficient processing. The variation of solidification conditions enables the modification of microstructure length scales. Additionally, latest research results indicate, that also the texture of the components is adjustable during manufacturing. Therefore, entirely new perspec…

More information

Term: 1. July 2011 - 30. June 2019
Funding source: DFG / Sonderforschungsbereich (SFB)
Acronym: SFB 814 (B04)
Project leader:

The basic mechanisms that are essential in the powder based selective beam melting process are poorly understood. Most of the existing analytical and numerical models describing the process of consolidation in a homogenized image, i.e. individual powder particles are not resolved. This approach is suitable for information on averages, but cannot capture the local influence of the powder, i.e. the powder size distribution, the stochastic effect of the powder bed, the wetting of the powder by the…

More information

Term: 1. January 2013 - 30. June 2017
Funding source: EU - 7. RP / Cooperation / Verbundprojekt (CP)
Acronym: AMAZE
Project leader:

The overarching goal of AMAZE is to rapidly produce large defect-free additively-manufactured (AM) metallic components up to 2 metres in size, ideally with close to zero waste, for use in the following high-tech sectors namely: aeronautics, space, automotive, nuclear fusion and tooling. Four pilot-scale industrial AM factories will be established and enhanced, thereby giving EU manufacturers and end-users a world-dominant position with respect to AM production of high-value metallic parts, by 20…

More information

Term: 1. January 2014 - 31. December 2016
Funding source: EU - 7. RP / Capacities / Forschung für spezielle Gruppen (insbesondere KMU) (SME)
Acronym: FastEBM
Project leader:

Electron beam melting additive manufacturing is used to produce successive layers of a part in a powder bed and offers the ability to produce components closest to their final dimensions, with good surface finish. At this time the process is faster than any other technique of comparable quality, however the parts are not produced at sufficient rate to make them economically viable for any but very high value specific applications. One key output of the project will be the knowledge surrounding t…

More information

Term: 1. July 2013 - 30. June 2016
Funding source: Sonstige EU-Programme (z. B. RFCS, DG Health, IMI, Artemis)
Acronym: SIMCHAIN
Project leader:

More information

Term: 1. November 2009 - 31. October 2013
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Project leader:

Geschäumte Materialien stellen aufgrund ihrer zellularen Struktur eine interessante Materialklasse mit attraktiven Eigenschaften dar. Unabhängig vom Material ist die Schaumbildung im Allgemeinen wenig verstanden und die Schaumherstellung basiert im Wesentlichen auf dem Trial-and-Error-Prinzip. Die numerische Simulation eröffnet hier neue Wege, grundlegende Phänomene bei der Schaumbildung zu er-forschen und die daraus abgeleiteten Erkenntnisse praktisch umzusetzen. Basis für das beantragte Projek…

More information

Term: 1. January 2003 - 31. December 2011
Acronym: FreeWiHR
Project leader: ,

In the last few years methods, cellular automata (CA) became increasingly popular to simulate the physical phenomena that have to be considered when developing and manufacturing new materials. Among these phenomena are the formation of grain structures or dendrites during solidification. A special CA called Lattice Gas or Lattice Boltzmann Method (LBM) is perfectly suited for modeling flows in complex and time- dependent geometries as they are encountered in the context of metal foams or of comp…

More information

Term: 18. December 2006 - 17. December 2010
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Project leader:

More information