Article (Scientific journals)
Flow characteristics of metallic powder grains for additive manufacturing
Peters, Bernhard; Pozzetti, Gabriele
2017In EPJ Web of Conferences, 13001, p. 140
Peer reviewed
 

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Keywords :
Additive Manufacturing; CFD-DEM; Numerical Simulation
Abstract :
[en] Directed energy deposition technologies for additive manufacturing such as laser selective melting (SLM) or electron beam melting (EBM) is a fast growing technique mainly due to its flexibility in product de- sign. However, the process is a complex interaction of multi-physics on multiple length scales that are still not entirely understood. A particular challenging task are the flow characteristics of metallic powder ejected as jets from a nozzle and shielded by an inert turbulent gas flow. Therefore, the objective is to describe numerically the complex interaction between turbulent flow and powder grains. In order to include both several physical processes and length scales an Euler-Lagrange technology is applied. Within this framework powder is treated by the Discrete-Element-Method, while gas flow is described by Euler approaches as found in classical Compu- tational Fluid Dynamics (CFD). The described method succeeded in delivering more accuracy and consistency than a standard approach based on the volume averaging technique and therefore, is suited for the solution of problems within an engineering framework.
Disciplines :
Mechanical engineering
Author, co-author :
Peters, Bernhard ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Pozzetti, Gabriele ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
External co-authors :
no
Language :
English
Title :
Flow characteristics of metallic powder grains for additive manufacturing
Publication date :
30 June 2017
Journal title :
EPJ Web of Conferences
ISSN :
2100-014X
Publisher :
EDP Sciences
Volume :
13001
Pages :
140
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Name of the research project :
Luxdem.AdditiveMan
Available on ORBilu :
since 13 July 2017

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