Journal article
(Original article)


Numerical investigations on hatching process strategies for powder-bed-based additive manufacturing using an electron beam


Publication Details
Author(s): Markl M, Ammer R, Rüde U, Körner C
Publisher: Inderscience Publishers
Publication year: 2015
Volume: 78
Journal issue: 1-4
Pages range: 239-247
ISSN: 1368-2148
eISSN: 1741-5195

Abstract

This paper investigates in hatching process strategies for additive manufacturing using an electron beam by numerical simulations. The underlying physical model and the corresponding three-dimensional thermal free-surface lattice Boltzmann method of the simulation software are briefly presented. The simulation software has already been validated on the basis of experiments up to 1.2kW beam power by hatching a cuboid with a basic process strategy, whereby the results are classified into porous, good, and uneven, depending on their relative density and top surface smoothness. In this paper, we study the limitations of this basic process strategy in terms of higher beam powers and scan velocities to exploit the future potential of high power electron beam guns up to 10kW. Subsequently, we introduce modified process strategies, which circumvent these restrictions, to build the part as fast as possible under the restriction of a fully dense part with a smooth top surface. These process strategies are suitable to reduce the build time and costs, maximize the beam power usage, and therefore use the potential of high power electron beam guns.



How to cite
APA: Markl, M., Ammer, R., Rüde, U., & Körner, C. (2015). Numerical investigations on hatching process strategies for powder-bed-based additive manufacturing using an electron beam. International Journal of Manufacturing Technology and Management, 78(1-4), 239-247. https://dx.doi.org/10.1007/s00170-014-6594-9

MLA: Markl, Matthias, et al. "Numerical investigations on hatching process strategies for powder-bed-based additive manufacturing using an electron beam." International Journal of Manufacturing Technology and Management 78.1-4 (2015): 239-247.

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