Numerical simulation of thermal behavior for process parameters optimization in laser additive manufacturing

A. V. Dubrov; F. Kh. Mirzade; V. D. Dubrov; P. S. Rodin

doi:10.1117/12.2307535

22 May 2018 Numerical simulation of thermal behavior for process parameters optimization in laser additive manufacturing

A. V. Dubrov, F. Kh. Mirzade, V. D. Dubrov, P. S. Rodin

Author Affiliations +

Proceedings Volume 10675, 3D Printed Optics and Additive Photonic Manufacturing; 1067513 (2018) https://doi.org/10.1117/12.2307535
Event: SPIE Photonics Europe, 2018, Strasbourg, France

Abstract

For a full-fledged application laser additive manufacturing technologies of parts from metal powder and for maximum disclosure of their potential, it is necessary to provide automated construction of an optimal synthesis strategy with determination of the process parameters to ensure the specified properties and geometry of the product. In this paper, in the framework of the thermo-hydrodynamic model, the influence of the geometric boundaries of the workpiece on the processes accompanying laser metal deposition is numerically investigated. The geometric characteristics of the melt pool and the forming bead are investigated: length, width, height and dilution, as well as features of the formation of the vortex structure of the flows in the molten pool caused by thermocapillary forces and injection of powder. Modeling of the process of formation of two adjacent tracks in the technology of selective laser melting is carried out. It is shown that in the case of scanning two adjacent tracks with alternating directions, the volume of the melt region increases. To maintain the parameters in the required range, a variation in the laser radiation power or the scanning speed can be used.

Citation Download Citation

A. V. Dubrov, F. Kh. Mirzade, V. D. Dubrov, and P. S. Rodin "Numerical simulation of thermal behavior for process parameters optimization in laser additive manufacturing", Proc. SPIE 10675, 3D Printed Optics and Additive Photonic Manufacturing, 1067513 (22 May 2018); https://doi.org/10.1117/12.2307535

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