Page 24 - MSAM-1-4

Materials Science in Additive Manufacturing

ORIGINAL RESEARCH ARTICLE
Process optimization and mechanical property

investigation of Inconel 718 manufactured by
selective electron beam melting

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1,2
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3
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Heng Dong , Feng Liu , Lin Ye , Xiaoqiong Ouyang , Qiangbing Wang ,
Li Wang , Lan Huang *, Liming Tan *, Xiaochao Jin , Yong Liu 1,2
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4
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1 State Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China
2 Powder Metallurgy Research Institute, Central South University, Changsha 410083, China
3 Guangzhou Sailong Additive Manufacturing Co., Ltd., Guangzhou 510700, China
4 State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University,
Xi’an 710049, China
Abstract
To accelerate the optimization of selective electron-beam melting (SEBM) processing
parameters, two machine learning models, Gaussian process regression, and support
vector regression were applied in this work to predict the relative density of Inconel
718 from experimental data. The experimental validation indicated that the trained
algorithms can precisely predict the relative density of SEBM samples. Moreover, the
*Corresponding authors: effects of different parameters on surface integrity, internal defects, and mechanical
Liming Tan properties are discussed in this paper. The Inconel 718 samples with high density
(limingtan@csu.edu.cn) (>99.5%) prepared by the same SEBM energy density exhibit different mechanical
Lan Huang
(lhuang@csu.edu.cn) properties, which are related to the existence of the unmelted powder, Laves phase,
and grain structure. Finally, Inconel 718 sample with superior strength and plasticity
Citation: Dong H, Liu F, Ye L,
et al., 2022, Process optimization was fabricated using the optimized processing parameters.
and mechanical property
investigation of Inconel 718
manufactured by selective electron Keywords: Electron beam melting; Inconel 718; Machine learning; Parameter
beam melting. Mater Sci Add optimization; Defects; Tensile property
Manuf, 1(4): 23.
https://doi.org/10.18063/msam.v1i4.23
Received: September 22, 2022
Accepted: October 31, 2022 1. Introduction
Published Online: November 23, Compared with traditional subtractive manufacturing techniques, additive
2022 manufacturing (AM) techniques are getting increasing attention due to their flexibility
Copyright: © 2022 Author(s). in designing and fabricating complex parts through incremental layer-by-layer
This is an Open Access article manufacturing method [1-3] . Selective electron-beam melting (SEBM) is one of the most
distributed under the terms of the promising powder bed fusion AM techniques for metal part fabrication . Compared
[4]
Creative Commons Attribution
[5]
License, permitting distribution, with another powder bed fusion technology, that is, selective laser melting (SLM) ,
and reproduction in any medium, SEBM has higher energy utilization rate and production efficiency, and it could reduce the
provided the original work is risk of oxide and nitride formation due to its vacuum environment [4,6] . Moreover, SEBM
properly cited.
reduces the temperature gradient and residual stresses through preheating and, thus,
Publisher’s Note: Whoice avoids the strain-induced distortion [7,8] . Therefore, SEBM has advantage in fabricating
Publishing remains neutral with
regard to jurisdictional claims in high-performance materials with high active elements or which are difficult to process,
[12]
published maps and institutional such as Ti6Al4V , superalloy , copper and copper alloys , and tungsten .
[10]
[9]
[11]
affiliations.
Volume 1 Issue 4 (2022) 1 https://doi.org/10.18063/msam.v1i4.23