Control of selective laser melting processes: existing efforts, challenges, and future opportunities

被引:7
作者
Al-Saadi, Taha [1 ]
Rossiter, J. Anthony [1 ]
Panoutsos, George [1 ]
机构
[1] Univ Sheffield, Dept Automat Control & Syst Engn, Mapping St, Sheffield S1 3JD, S Yorkshire, England
来源
2021 29TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED) | 2021年
关键词
FEEDBACK-CONTROL; CONTROL STRATEGY; GEOMETRIES;
D O I
10.1109/MED51440.2021.9480258
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Additive Manufacturing (AM) or widely known as 3D printing is a technology for producing parts directly from the computer without the need for traditional tools. The technology provides fast production for complex shapes with higher properties. Selective Laser Melting (SLM) is one of AM technologies that is used to produce metallic parts. For the last twenty years, the technique attracted the attention of both industry and academia. The complexity of the underlying physics and the fast dynamics during the process degraded the quality of the produced parts and hampered widespread adoption of the technology. A significant emphasis on the importance of on-line control systems to achieve higher levels of quality and repeatability can be found in the literature. In this review paper, we fill an important gap in the literature represented by the absence of one single source that describes what has been accomplished and gives an insight into what still needs to be achieved in the field of process control for metal-based AM processes. The article ends by discussing future opportunities in the associated on-line control system development.
引用
收藏
页码:89 / 94
页数:6
相关论文
共 44 条
[1]  
Ahrari A, 2017, IEEE C EVOL COMPUTAT, P2730, DOI 10.1109/CEC.2017.7969639
[2]  
[Anonymous], 2013, F279212A ASTM INT, DOI [10.1520/F2792-12A.2, DOI 10.1520/F2792-12A.2]
[3]   Robust multivariable predictive control for laser-aided powder deposition processes [J].
Cao, Xiaoqing ;
Ayalew, Beshah .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 356 (05) :2505-2529
[4]  
Cao XQ, 2015, P AMER CONTR CONF, P3637, DOI 10.1109/ACC.2015.7171895
[5]   Feedback control of Layerwise Laser Melting using optical sensors [J].
Craeghs, Tom ;
Bechmann, Florian ;
Berumen, Sebastian ;
Kruth, Jean-Pierre .
LASER ASSISTED NET SHAPE ENGINEERING 6, PROCEEDINGS OF THE LANE 2010, PART 2, 2010, 5 :505-514
[6]   Scientific, technological and economic issues in metal printing and their solutions [J].
DebRoy, T. ;
Mukherjee, T. ;
Milewski, J. O. ;
Elmer, J. W. ;
Ribic, B. ;
Blecher, J. J. ;
Zhang, W. .
NATURE MATERIALS, 2019, 18 (10) :1026-1032
[7]  
Dominguez-olmedo R., 2019, SAMPLE EFFICIENT DEE
[8]   A review of critical repeatability and reproducibility issues in powder bed fusion [J].
Dowling, L. ;
Kennedy, J. ;
O'Shaughnessy, S. ;
Trimble, D. .
MATERIALS & DESIGN, 2020, 186
[9]   Process optimization of complex geometries using feed forward control for laser powder bed fusion additive manufacturing [J].
Druzgalski, C. L. ;
Ashby, A. ;
Guss, G. ;
King, W. E. ;
Roehling, T. T. ;
Matthews, M. J. .
ADDITIVE MANUFACTURING, 2020, 34
[10]   3D Metal Printing Technology [J].
Duda, Thomas ;
Raghavan, L. Venkat .
IFAC PAPERSONLINE, 2016, 49 (29) :103-110