scholarly journals Advanced Simulation of Metal Additive Manufacturing Using Maraging Steel and Nickel Alloy

2020 ◽  
Vol 20 (3) ◽  
pp. 313-317
Author(s):  
Pavel Hanzl ◽  
Ivana Zetková ◽  
Milan Daňa ◽  
Martin Nozar
Keyword(s):  
Additive Manufacturing ◽  
Nickel Alloy ◽  
Maraging Steel ◽  
Metal Additive Manufacturing ◽  
Metal Additive

scholarly journals Cross-Contamination Quantification in Powders for Additive Manufacturing: A Study on Ti-6Al-4V and Maraging Steel

Materials ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2342
Author(s):  
Eleonora Santecchia ◽  
Paolo Mengucci ◽  
Andrea Gatto ◽  
Elena Bassoli ◽  
Silvio Defanti ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Maraging Steel ◽  
Computer Aided Design ◽  
High Energy ◽  
Cross Contamination ◽  
Good Reliability ◽  
Metal Additive Manufacturing ◽  
Energy Beam ◽  
Beam Laser ◽  
Metal Additive

Metal additive manufacturing is now taking the lead over traditional manufacturing techniques in applications such as aerospace and biomedicine, which are characterized by low production volumes and high levels of customization. While fulfilling these requirements is the strength of metal additive manufacturing, respecting the tight tolerances typical of the mentioned applications is a harder task to accomplish. Powder bed fusion (PBF) is a class of additive manufacturing in which layers of metal powder are fused on top of each other by a high-energy beam (laser or electron beam) according to a computer-aided design (CAD) model. The quality of raw powders for PBF affects the mechanical properties of additively manufactured parts strongly, and therefore it is crucial to avoid the presence of any source of contamination, particularly cross-contamination. In this study, the identification and quantification of cross-contamination in powders of Ti-6Al-4V and maraging steel was performed using scanning electron microscopy (SEM) and energy-dispersive spectroscopy (EDS) techniques. Experimental results showed an overall good reliability of the developed method, opening the way for applications in machine learning environments.

scholarly journals Hybrid metal additive manufacturing: A state–of–the-art review

2021 ◽  
Vol 2 ◽  
pp. 100032
Author(s):  
J.P.M. Pragana ◽  
R.F.V. Sampaio ◽  
I.M.F. Bragança ◽  
C.M.A. Silva ◽  
P.A.F. Martins
Keyword(s):  
Additive Manufacturing ◽  
State Of The Art ◽  
Metal Additive Manufacturing ◽  
Metal Additive

scholarly journals Towards the industrialization of metal additive manufacturing

2021 ◽  
Vol 18 (3) ◽  
pp. 32-37
Author(s):  
Francesca Moglia ◽  
Antonio Raspa
Keyword(s):  
Additive Manufacturing ◽  
Metal Additive Manufacturing ◽  
Metal Additive

An optimized pressure vessel made of metal additive manufacturing: Preliminary results

2021 ◽  
pp. 104434
Author(s):  
Hassan Mohamed Abdelalim Abdalla ◽  
Daniele Casagrande ◽  
Francesco De Bona ◽  
Thomas De Monte ◽  
Marco Sortino ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Pressure Vessel ◽  
Metal Additive Manufacturing ◽  
Preliminary Results ◽  
Metal Additive

scholarly journals An integrated and interoperable AutomationML-based platform for the robotic process of metal additive manufacturing

2020 ◽  
Vol 51 ◽  
pp. 26-31
Author(s):  
Mihail Babcinschi ◽  
Bernardo Freire ◽  
Lucía Ferreira ◽  
Baltasar Señaris ◽  
Felix Vidal ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Metal Additive Manufacturing ◽  
Metal Additive
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