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Parameter optimization of aluminum alloy thin structures obtained by Selective Laser Melting

Published online by Cambridge University Press:  18 November 2019

Malena Ley Bun Leal ,
Barbara Bermudez-Reyes ,
Patricia del Carmen Zambrano Robledo  and
Omar Lopez-Botello
Malena Ley Bun Leal
Affiliation:
Laboratorio Nacional de Manufactura Aditiva y Digital (MADiT), Mexico. Universidad Autónoma de Nuevo León, Facultad de Ingeniería Mecánica y Eléctrica, Centro de Investigación e Innovación en Ingeniería Aeronáutica, Mexico.
Barbara Bermudez-Reyes
Affiliation:
Laboratorio Nacional de Manufactura Aditiva y Digital (MADiT), Mexico. Universidad Autónoma de Nuevo León, Facultad de Ingeniería Mecánica y Eléctrica, Centro de Investigación e Innovación en Ingeniería Aeronáutica, Mexico.
Patricia del Carmen Zambrano Robledo
Affiliation:
Laboratorio Nacional de Manufactura Aditiva y Digital (MADiT), Mexico. Universidad Autónoma de Nuevo León, Facultad de Ingeniería Mecánica y Eléctrica, Centro de Investigación e Innovación en Ingeniería Aeronáutica, Mexico.
Omar Lopez-Botello*
Affiliation:
Laboratorio Nacional de Manufactura Aditiva y Digital (MADiT), Mexico. Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Mexico.
*
*(Email: [email protected])
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Abstract

Selective Laser Melting (SLM) involves numerous fabrication parameters, the interaction between those parameters determine the final characteristics of the resulting part and because of the latter, it is considered a complex process. Low-density components is one of the main issues of the SLM process, due to the incorrect selection of process parameters. These defects are undesired in high specialized applications (i.e. aerospace, aeronautic and medical industries). Therefore, the characterization of the defects (pores) found in aluminum parts manufacture by SLM and the relationship with fabrication parameters was performed. A robust orthogonal design of experiments was implemented to determine process parameters, and then parts were manufactured in SLM. Relative density of the samples was then characterized using the Archimedes principle and microscopy; the data was then statistically analyzed in order to determine the optimal process parameters. The main purpose of the present research was to establish the best processing parameters of an in-house SLM system, as well as to characterize the pore geometry in order to fully eliminate pores in a future research.

Keywords

additive manufacturingdefectsoptical metallography3D printing
Type
Articles
Information
MRS Advances , Volume 4 , Issue 55-56: International Materials Research Congress XXVIII , 2019 , pp. 2997 - 3005
Copyright
Copyright © Materials Research Society 2019 

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