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      • A coupled MD-FE simulation method accounting for interphases in nanoparticle filled thermoplastics.
      • Modelling and simulation of nonlinear electro-thermo-visco-elastic EAPs(Electronic Electro-Active Polymers)
      • Modeling and computation of growth in soft biological matter
      • Teilprojekt P11 – Fracture Control by Material Optimization
      • Teilprojekt P8 – Fracture in Polymer Composites: Meso to Macro
      • Novel Biopolymer Hydrogels for Understanding Complex Soft Tissue Biomechanics
      • A coupled MD-FE simulation method accounting for interphases in nanoparticle filled thermoplastics.
      • Teilprojekt P5 – Compressive Failure in Porous Materials
      • Modelling and simulation of nonlinear electro-thermo-visco-elastic EAPs(Electronic Electro-Active Polymers)
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      • Modeling and computation of growth in soft biological matter
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      • Electronic electro-active polymers under electric loading: Experiment, modeling and simulation
      • Material modelling of sheet-layered lamination stacks
      • Teilprojekt P6 – Fracture in Thermoplastics: Discrete-to-Continuum
      • Teilprojekt P10 – Configurational Fracture/Surface Mechanics
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      • Material modelling of sheet-layered lamination stacks
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      • Mehrskalenmodellierung und -simulation der Mechanik von Materialien mit Faserstruktur
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      • A hybrid Sampling-Stochastic-Finite-Element-Method for polymorphic, microstructural uncertainties in heterogeneous materials
      • A hybrid Sampling-Stochastic-Finite-Element-Method for polymorphic, microstructural uncertainties in heterogeneous materials
    • Multiscale mechanics
      • BRAIn mechaNIcs ACross Scales: Linking microstructure, mechanics and pathology
      • BRAIn mechaNIcs ACross Scales: Linking microstructure, mechanics and pathology
      • Teilprojekt P6 – Fracture in Thermoplastics: Discrete-to-Continuum
      • Teilprojekt P10 – Configurational Fracture/Surface Mechanics
      • Teilprojekt P11 – Fracture Control by Material Optimization
      • Teilprojekt P8 – Fracture in Polymer Composites: Meso to Macro
      • Novel Biopolymer Hydrogels for Understanding Complex Soft Tissue Biomechanics
      • Novel Biopolymer Hydrogels for Understanding Complex Soft Tissue Biomechanics
      • BRAIn mechaNIcs ACross Scales: Linking microstructure, mechanics and pathology
      • Teilprojekt P6 – Fracture in Thermoplastics: Discrete-to-Continuum
      • Teilprojekt P5 – Compressive Failure in Porous Materials
      • Multi-scale, Multi-physics Modelling and Computation of magneto-sensitive POLYmeric materials
      • Multi-scale modeling of nano-structured polymeric materials: from chemistry to materials performance
      • Identifikation von Interphaseneigenschaften in Nanokompositen
      • Novel Biopolymer Hydrogels for Understanding Complex Soft Tissue Biomechanics
      • Mesoscopic modelling and simulation of properties of additively manufactured metallic parts (C5)
      • Teilprojekt P5 – Compressive Failure in Porous Materials
      • Discrete and Continuous Methods for Modelling and Simulation of Polymeric Materials
      • Multi-scale, Multi-physics Modelling and Computation of magneto-sensitive POLYmeric materials
      • Multiscale modeling of nervous tissue: comprehensively linking microstructure, pathology, and mechanics
      • Multiscale modeling of nervous tissue: comprehensively linking microstructure, pathology, and mechanics
      • Multi-scale modeling of nano-structured polymeric materials: from chemistry to materials performance
      • Fractures across Scales: Integrating Mechanics, Materials Science, Mathematics, Chemistry, and Physics/ Skalenübergreifende Bruchvorgänge: Integration von Mechanik, Materialwissenschaften, Mathematik, Chemie und Physik
      • Identifikation von Interphaseneigenschaften in Nanokompositen
      • Bridging scales – from Quantum Mechanics to Continuum Mechanics. A Finite Element approach.
      • Teilprojekt P12 – Postdoctoral Project: Quantum-to-Continuum Model of Thermoset Fracture
      • Mikroskalige Charakterisierungsmethoden zur Kalibrierung von Stoffgesetzen für Biomaterialien und Kunststoffe
      • Multiscale modeling of nervous tissue: comprehensively linking microstructure, pathology, and mechanics
      • Fractures across Scales: Integrating Mechanics, Materials Science, Mathematics, Chemistry, and Physics/ Skalenübergreifende Bruchvorgänge: Integration von Mechanik, Materialwissenschaften, Mathematik, Chemie und Physik
      • Bridging scales – from Quantum Mechanics to Continuum Mechanics. A Finite Element approach.
      • Teilprojekt P12 – Postdoctoral Project: Quantum-to-Continuum Model of Thermoset Fracture
      • Mikroskalige Charakterisierungsmethoden zur Kalibrierung von Stoffgesetzen für Biomaterialien und Kunststoffe
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      • Experimentell basierte Modellierung, Simulation und Kompensation thermischer Einflüsse beim Drehen mesoheterogener Werkstoffe aus Al-MMC.
      • Macroscopic modeling, simulation, and optimization of the selective beam melting process (C3)
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      • Experimentell basierte Modellierung, Simulation und Kompensation thermischer Einflüsse beim Drehen mesoheterogener Werkstoffe aus Al-MMC. Phase 2
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      • Reduced order modelling of non-linear gyroscopic systems in ALE formulation with frictional contact
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      • Teilprojekt P11 – Fracture Control by Material Optimization
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      • Teilprojekt P8 – Fracture in Polymer Composites: Meso to Macro
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      • Discrete and Continuous Methods for Modelling and Simulation of Polymeric Materials
      • Discrete and Continuous Methods for Modelling and Simulation of Polymeric Materials
      • Teilprojekt P10 – Configurational Fracture/Surface Mechanics
      • Teilprojekt P11 – Fracture Control by Material Optimization
      • Adaptive finite elements based on sensitivities for topological mesh changes
      • Teilprojekt P8 – Fracture in Polymer Composites: Meso to Macro
      • Discrete and Continuous Methods for Modelling and Simulation of Polymeric Materials
      • Teilprojekt P10 – Configurational Fracture/Surface Mechanics
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  4. Macroscopic modeling, simulation, and optimization of the selective beam melting process (C3)

Macroscopic modeling, simulation, and optimization of the selective beam melting process (C3)

In page navigation: Research
  • Biomechanics
  • Contact mechanics
  • Material Mechanics
  • Uncertainty Quantification
  • Multiscale mechanics
  • Process Simulation
    • Experimentell basierte Modellierung, Simulation und Kompensation thermischer Einflüsse beim Drehen mesoheterogener Werkstoffe aus Al-MMC.
    • Experimentell basierte Modellierung, Simulation und Kompensation thermischer Einflüsse beim Drehen mesoheterogener Werkstoffe aus Al-MMC.
    • Macroscopic modeling, simulation, and optimization of the selective beam melting process (C03)
    • Macroscopic modeling, simulation, and optimization of the selective beam melting process (C3)
    • Simulations- und versuchsbasierte Untersuchung der Wechselwirkung zwischen Zerspanprozess und Maschinenstruktur beim Hochleistungsflachschleifen
    • Experimentell basierte Modellierung, Simulation und Kompensation thermischer Einflüsse beim Drehen mesoheterogener Werkstoffe aus Al-MMC. Phase 2
    • Experimentell basierte Modellierung, Simulation und Kompensation thermischer Einflüsse beim Drehen mesoheterogener Werkstoffe aus Al-MMC. Phase 2
  • Structural dynamics
  • Optimization
  • Other Projects

Macroscopic modeling, simulation, and optimization of the selective beam melting process (C3)

Macroscopic modeling, simulation, and optimization of the selective beam melting process (C3)

(Third Party Funds Group – Sub project)

Overall project: CRC 814 - Additive Manufacturing
Project leader: Julia Mergheim
Project members:
Start date: 1. July 2011
End date: 30. June 2023
Acronym: SFB 814 (C3)
Funding source: DFG / Sonderforschungsbereich (SFB)
URL: https://www.crc814.research.fau.eu/projekte/c-bauteile/teilprojekt-c3/

Abstract

The aim of the sub-project is to extend the simulation tool for LSS-K, LSS-M and SEBM from the first two funding periods to a hierarchical simulation environment in order to develop and qualify problem- and parts-adapted simulation strategies. This requires the application of reduced physical models, compensation strategies for error reduction and efficient algorithms, e.g. adaptive multi-rate time integrators. The process simulations (for parts up to 1000 cm3) will support the process control for the reproducible production of parts with defined properties.

Publications

  • Bauereiß A., Ribeiro Parteli EJ., Riedlbauer DR., Stingl M.:
    Numerische Simulation pulver- und strahlbasierter additiver Fertigungsprozesse
    Industriekolloqium des Sonderforschungsbereichs 814 – Additive Fertigung
  • Riedlbauer DR., Drexler M., Drummer D., Steinmann P., Mergheim J.:
    Modelling, simulation and experimental validation of heat transfer in selective laser melting of the polymeric material PA12
    In: Computational Materials Science 93 (2014), p. 239-248
    ISSN: 0927-0256
    DOI: 10.1016/j.commatsci.2014.06.046
  • Riedlbauer DR., Mergheim J., Steinmann P.:
    Simulation of the temperature distribution in the selective beam melting process for polymer material
    29th International Conference of the Polymer Processing Society (Nuremberg, Germany, 15. July 2013 - 19. July 2013)
    In: 29th International Conference of the Polymer Processing Society, USA: 2014
    DOI: 10.1063/1.4873876
  • Riedlbauer DR., Mergheim J., Steinmann P.:
    Thermomechanical Simulation of the Electron Beam Melting Process for TiAl6V4
    GAMM 2014 (Erlangen, Germany, 10. March 2014 - 14. March 2014)
    In: Proceedings in Applied Mathematics and Mechanics, Erlangen, Germany: 2014
    DOI: 10.1002/pamm.201410219
  • Riedlbauer DR., Mergheim J., Steinmann P., McBride A.:
    Macroscopic modelling of the selective beam melting process
    83rd GAMM (Darmstadt, Germany)
    In: Proceedings in Applied Mathematics and Mechanics, Darmstadt, Germany: 2012

Institute of Applied Mechanics
Friedrich-Alexander-Universität Erlangen-Nürnberg

Egerlandstrasse 5
91058 Erlangen
Germany
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