Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2024Improved Thermal Resolution and Macroscale Phase Transformation Modeling of the Semi-Crystalline Polymer Polyamide-12 during Laser Powder Bed Fusioncitations
  • 2024Part-Scale Thermomechanical and Grain Structure Modeling for Additive Manufacturing: Status and Perspectives1citations
  • 2023Thermal behavior and morphology evolution of polyamide 12 in laser powder bed fusion process: Experimental characterization and numerical simulation5citations
  • 2018Macroscopic thermal finite element modelling of additive metal manufacturing by selective laser melting process70citations
  • 2017Stochastic predictions of interfacial characteristic of polymeric nanocomposites (PNCs)citations
  • 2017Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulationcitations
  • 2017Macroscopic Finite element thermal modelling of selective laser melting for IN718 real part geometries ; Modélisation thermique macroscopique éléments finis du procédé SLM pour des pièces réelles IN718citations
  • 2015Efficient hyper reduced-order model (HROM) for parametric studies of the 3D thermo-elasto-plastic calculation17citations
  • 2014Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulationscitations
  • 2014Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulation103citations
  • 2014Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulation103citations
  • 2012Cutting simulation capabilities based on crystal plasticity theory and discrete cohesive elements43citations

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Co-Authors (by relevance)

  • Xu, Zhongfeng
  • Billon, Noëlle
  • Bouvard, Jean-Luc
  • Freire, Lionel
  • Guillemot, Gildas
  • Camus, Théophile
  • Bellet, Michel
  • Senninger, Oriane
  • Gandin, Charles-André
  • Bernacki, Marc
  • Zhuang, Xiaoying
  • Lahmer, Tom
  • Vu-Bac, N.
  • Rabczuk, Timon
  • Fontaine, Michaël
  • Mabrouki, Tarek
  • Gong, Yadong
  • Muthu, Jacob
  • Combescure, Alain
  • Gravouil, Anthony
  • Fontaine, Michael
  • Nelias, Daniel
  • Rech, Joel
  • Courbon, Cedric
OrganizationsLocationPeople

article

Thermal behavior and morphology evolution of polyamide 12 in laser powder bed fusion process: Experimental characterization and numerical simulation

  • Xu, Zhongfeng
  • Zhang, Yancheng
  • Billon, Noëlle
  • Bouvard, Jean-Luc
  • Freire, Lionel
Abstract

International audience ; A particle scale numerical model of laser powder bed fusion (L-PBF) for semi-crystalline polymer PA12 is presented in this work. The model is developed by the finite element method under the framework of the level-set method. The asymmetrical and kinetical thermal behavior of semi-crystalline polymer is implemented in the thermal model, enabling better considering the latent heats during different phase transformation processes. Particle consolidation under laser irradiation is simulated by hydrodynamics. The physical properties of PA12 powder are identified by experiments regarding the inputs of the numerical model. Before performing L-PBF processing simulations, the numerical powder bed model, the implementation of crystallization kinetics, and the related hydrodynamic parameters are verified by comparing simple simulations with the experiments. The influence of phase transformation latent heat on the temperature calculation and the consequent melt pool profile is discussed in the single-track simulation: the peak temperature on the top surface of the substrate is significantly lower when properly considering the re-melting fusion latent heat with the modified crystallization kinetics. As a result, a shallower melt pool is obtained. The effect of processing parameters on the temperature field and shape of the melt pool is also modeled. This parametric study indicates that decreasing the scanning velocity can eliminate the inter-layer lack of fusion phenomenon. Additionally, the thermal interaction between adjacent scanning tracks can improve the fusion continuity in the gap area of neighbor tracks. Finally, optical observations are conducted to validate the simulated morphology of the melt pool. A good agreement between numerical results and experimental observations is obtained, indicating the ability of the numerical model to simulate the PA12 L-PBF process.

Topics
  • impedance spectroscopy
  • morphology
  • surface
  • polymer
  • experiment
  • simulation
  • melt
  • selective laser melting
  • crystallization