scholarly journals Directed energy deposition additive manufacturing of functionally graded Al-W composites

2021 ◽  
Vol 39 ◽  
pp. 101845
Author(s):  
J.P. Kelly ◽  
J.W. Elmer ◽  
F.J. Ryerson ◽  
J.R.I. Lee ◽  
J.J. Haslam
Keyword(s):  
Additive Manufacturing ◽  
Energy Deposition ◽  
Functionally Graded ◽  
Directed Energy Deposition ◽  
Directed Energy

scholarly journals Microstructure and Mechanical Properties of AISI 316L Produced by Directed Energy Deposition-Based Additive Manufacturing: A Review

2020 ◽  
Vol 10 (9) ◽  
pp. 3310 ◽  
Author(s):  
Abdollah Saboori ◽  
Alberta Aversa ◽  
Giulio Marchese ◽  
Sara Biamino ◽  
Mariangela Lombardi ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Energy Deposition ◽  
Mechanical Characteristics ◽  
Mechanical Performance ◽  
Functionally Graded ◽  
Published Data ◽  
Aisi 316L ◽  
Building Conditions ◽  
Directed Energy Deposition ◽  
Directed Energy

Directed energy deposition (DED) as a metal additive manufacturing technology can be used to produce or repair complex shape parts in a layer-wise process using powder or wire. Thanks to its advantages in the fabrication of net-shape and functionally graded components, DED could attract significant interest in the production of high-value parts for different engineering applications. Nevertheless, the industrialization of this technology remains challenging, mainly because of the lack of knowledge regarding the microstructure and mechanical characteristics of as-built parts, as well as the trustworthiness/durability of engineering parts produced by the DED process. Hence, this paper reviews the published data about the microstructure and mechanical performance of DED AISI 316L stainless steel. The data show that building conditions play key roles in the determination of the microstructure and mechanical characteristics of the final components produced via DED. Moreover, this review article sheds light on the major advancements and challenges in the production of AISI 316L parts by the DED process. In addition, it is found that in spite of different investigations carried out on the optimization of process parameters, further research efforts into the production of AISI 316L components via DED technology is required.

Automatic Toolpath Generation for Heterogeneous Objects Manufactured by Directed Energy Deposition Additive Manufacturing Process

2018 ◽  
Vol 140 (7) ◽  
Author(s):  
Xinyi Xiao ◽  
Sanjay Joshi
Keyword(s):  
Additive Manufacturing ◽  
Energy Deposition ◽  
Single Layer ◽  
Functionally Graded ◽  
Material Composition ◽  
Graded Materials ◽  
Directed Energy Deposition ◽  
Toolpath Generation ◽  
Heterogeneous Objects ◽  
Directed Energy

A heterogeneous object (HO) refers to a solid component consisting of two or more material primitives distributed either continuously or discontinuously within the object. HOs are commonly divided into three categories. The first category has distinct material domains separating the different materials. The second, called functionally graded materials (FGMs), has continuous variation of material composition that produces gradient in material properties. The third category allows for any combinations of the first two categories within the same part. Modeling and manufacturing of HOs has recently generated more interest due to the advent of additive manufacturing (AM) technology that makes it possible to build such parts. Directed energy deposition (DED) processes have the potential for depositing multiple powdered materials in various compositions in the process of creating a single layer of material. To make this possible, tool paths that provide proper positioning of the deposition head and proper control over the material composition are required. This paper presents an approach for automatically generating the toolpath for any type of HO considering the material composition changes that are required on each layer. The toolpath generation takes into account the physical limitations of the machine associated with powder delivery and ability to continually grade the materials. Simulation results using the toolpath generation methodology are demonstrated by several example parts.

scholarly journals Working distance passive stability in laser directed energy deposition additive manufacturing

2019 ◽  
Vol 161 ◽  
pp. 86-94 ◽  
Author(s):  
James C. Haley ◽  
Baolong Zheng ◽  
Umberto Scipioni Bertoli ◽  
Alexander D. Dupuy ◽  
Julie M. Schoenung ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Energy Deposition ◽  
Passive Stability ◽  
Directed Energy Deposition ◽  
Directed Energy ◽  
Working Distance
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