2026-06-19T12:55:31Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/75002024-04-12T11:34:51Zcom_10259_4201com_10259_5086com_10259_2604col_10259_4505
Repositorio Institucional de la Universidad de Burgos
author
Cuesta Segura, Isidoro Iván
author
Díaz Portugal, Andrés
author
Rojo, M. A.
author
Peral, Luis Borja
author
Martínez, J.
author
Alegre Calderón, Jesús Manuel
2023-03-07T08:57:17Z
2023-03-07T08:57:17Z
2022-09
http://hdl.handle.net/10259/7500
10.3390/app12199786
2076-3417
Additive manufacturing (AM) of metallic materials is increasingly being adopted in
numerous sectors, such as biomedicine, aerospace or automotive industries, due to its versatility
in the creation of complex geometries and the minimisation of material waste when compared to
traditional subtractive methods. In order to ensure a reliable operation of these parts, however, an
in-depth study of the effect of additive manufacturing on mechanical properties, including tensile,
fatigue and fracture resistance, is necessary. Among the vast number of methods and materials, this
project is focused in one of the most promising techniques for the industry: Selective Laser Melting
(SLM) for the production of a tools steel, in particular C300 steel components for the automotive sector.
The main objective of this paper is to optimise some of the key parameters in the printing process,
such as laser power, laser speed and hatch spacing. These variables are essential to obtain parts with
good resistance. To that purpose, tensile tests were performed in 3D printed specimens, and then
elastoplastic properties were extracted, organised and analysed through a design of experiments for
the subsequent output fitting using the response surface methodology.
eng
Atribución 4.0 Internacional
Response surface
Additive manufacturing
Selective laser melting
C300 maraging steel
Parameter Optimisation in Selective Laser Melting on C300 Steel
info:eu-repo/semantics/article
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
URL
https://riubu.ubu.es/bitstream/10259/7500/1/Cuesta-as_2022.pdf
File
MD5
a3626fa0645fcc407b5c38e26b7aa256
25406228
application/pdf
Cuesta-as_2022.pdf