Scaling melt pool geometry over a wide range of laser scanning speeds during laser-based Powder Bed Fusion

Döring M, Boussinot G, Hagen JF, Apel M, Kohl S, Schmidt M (2020)


Publication Type: Conference contribution

Publication year: 2020

Journal

Publisher: Elsevier B.V.

Book Volume: 94

Pages Range: 58-63

Conference Proceedings Title: Procedia CIRP

DOI: 10.1016/j.procir.2020.09.012

Abstract

Generating dense parts from laser-based Powder Bed Fusion of metals often requires the adaption of laser scanning speed. Thereby, scanning speed is lost as a degree of freedom for tailoring the microstructure. This paper addresses this issue by using an analytical model from literature to achieve equal melt pool width and depth for a range of factor 12 for laser scanning speeds and by examining the resulting specimen densities for this range of scanning speeds. The melt pool width and the melt pool depth of a dense reference specimen are measured. The measured melt pool width and melt pool depth are defined as the target sizes of the melt pool for all examined scanning speeds, as this is expected to result in dense specimens from a geometrical point of view. The target size shall be achieved by using an analytical model from the literature. This strategy is chosen to estimate the necessary energy input for creating dense specimens while avoiding incomplete fusion and keyholing. Defects mechanisms like splatters and cracks are excluded from this initial examination.

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How to cite

APA:

Döring, M., Boussinot, G., Hagen, J.F., Apel, M., Kohl, S., & Schmidt, M. (2020). Scaling melt pool geometry over a wide range of laser scanning speeds during laser-based Powder Bed Fusion. In M. Schmidt, F. Vollertsen, E. Govekar (Eds.), Procedia CIRP (pp. 58-63). Elsevier B.V..

MLA:

Döring, Markus, et al. "Scaling melt pool geometry over a wide range of laser scanning speeds during laser-based Powder Bed Fusion." Proceedings of the 11th CIRP Conference on Photonic Technologies, LANE 2020 Ed. M. Schmidt, F. Vollertsen, E. Govekar, Elsevier B.V., 2020. 58-63.

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