Effect of SLM Processing Parameters on Microstructures and Mechanical Properties of Al0.5CoCrFeNi High Entropy Alloys

Sun, Kun; Peng, Weixiang; Yang, Longlong; Fang, Liang

doi:10.3390/met10020292

Cited by 55 publications

(28 citation statements)

References 26 publications

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“…Fujieda et al [371] found SLM-built Co 1.5 CrFeNi 1.5 Ti 0.5 Mo 0.1 HEA exhibited excellent tensile strength of 1178.0 MPa and elongation of 25.8 % due to smaller grain size and the homogenous structure without any intermetallic compounds, which was further improved after post-heat treatment [371]. In another studies, superior mechanical properties of Al 0.3 CoCrFeNi and Al 0.5 CoCrFeNi HEA fabricated by SLM were reported by [377][378][379]. The ductility of AlCrCuFeNi x HEA manufactured using SLM improved with the increase in Ni content [354].…”

Section: Laser-processed Heasmentioning

confidence: 90%

Review of Powder Bed Fusion Additive Manufacturing for Metals

Ladani

Sadeghilaridjani

2021

Metals

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Additive manufacturing (AM) as a disruptive technology has received much attention in recent years. In practice, however, much effort is focused on the AM of polymers. It is comparatively more expensive and more challenging to additively manufacture metallic parts due to their high temperature, the cost of producing powders, and capital outlays for metal additive manufacturing equipment. The main technology currently used by numerous companies in the aerospace and biomedical sectors to fabricate metallic parts is powder bed technology, in which either electron or laser beams are used to melt and fuse the powder particles line by line to make a three-dimensional part. Since this technology is new and also sought by manufacturers, many scientific questions have arisen that need to be answered. This manuscript gives an introduction to the technology and common materials and applications. Furthermore, the microstructure and quality of parts made using powder bed technology for several materials that are commonly fabricated using this technology are reviewed and the effects of several process parameters investigated in the literature are examined. New advances in fabricating highly conductive metals such as copper and aluminum are discussed and potential for future improvements is explored.

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Section: Laser-processed Heasmentioning

confidence: 90%

Review of Powder Bed Fusion Additive Manufacturing for Metals

Ladani

Sadeghilaridjani

2021

Metals

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“…Similarly, at low laser power and higher scan speed, a lack of fusion defects is more pronounced due to a lack of energy input to fully melt the powder layer [29,35,56]. Sun et al [57] showed the relationship between the part density and input energy density for Al0.5CoCrFeNi High Entropy Alloys (Figure 6). It can be observed that for lower energy density, the highest porosity is reported.…”

Section: Origin Of Defectsmentioning

confidence: 98%

“…Energy Density (J/mm 3 ) Figure 6. Relative density as a function of energy density [57]. Reused under Creative Commons Attribution License.…”

Section: Relative Density (%)mentioning

confidence: 99%

In Situ Monitoring Systems of The SLM Process: On the Need to Develop Machine Learning Models for Data Processing

et al. 2020

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In recent years, technological advancements have led to the industrialization of the laser powder bed fusion process. Despite all of the advancements, quality assurance, reliability, and lack of repeatability of the laser powder bed fusion process still hinder risk-averse industries from adopting it wholeheartedly. The process-induced defects or drifts can have a detrimental effect on the quality of the final part, which could lead to catastrophic failure of the finished part. It led to the development of in situ monitoring systems to effectively monitor the process signatures during printing. Nevertheless, post-processing of the in situ data and defect detection in an automated fashion are major challenges. Nowadays, many studies have been focused on incorporating machine learning approaches to solve this problem and develop a feedback control loop system to monitor the process in real-time. In our study, we review the types of process defects that can be monitored via process signatures captured by in situ sensing devices and recent advancements in the field of data analytics for easy and automated defect detection. We also discuss the working principles of the most common in situ sensing sensors to have a better understanding of the process. Commercially available in situ monitoring devices on laser powder bed fusion systems are also reviewed. This review is inspired by the work of Grasso and Colosimo, which presented an overall review of powder bed fusion technology.

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Section: Origin Of Defectsmentioning

confidence: 99%

Additive Manufacturing (AM) of Metallic Alloys

2020

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Developed in the 1980s, additive manufacturing (AM), known as rapid prototyping, has already revolutionized the production of polymeric material components. New developments in AM technologies are providing industries with the ability to build structural components with a variety of metal alloys, ceramics and composite materials. The introduction of metal AM processes has revolutionized the production of metallic components in the industrial sectors, where complex geometries, organic shapes, tubular, hollow designs, and dense, lattice-filled structures play a decisive role. In AM, there is no correlation between complexity and cost. Sometimes, more complexity means lower costs: less material and no need for assembly. However, there are problems that limit the wider uptake and exploitation of metals in AM. These range from the lack of design and modeling skills and AM software, to the different properties that are obtained using the same technology but different machines, to the difficulty of perfectly simulating the processes, to the incomplete understanding of the causes of variation in the quality of the parts, and to the repeatability of the processes.

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Effect of SLM Processing Parameters on Microstructures and Mechanical Properties of Al0.5CoCrFeNi High Entropy Alloys

Cited by 55 publications

References 26 publications

Review of Powder Bed Fusion Additive Manufacturing for Metals

Review of Powder Bed Fusion Additive Manufacturing for Metals

In Situ Monitoring Systems of The SLM Process: On the Need to Develop Machine Learning Models for Data Processing

Additive Manufacturing (AM) of Metallic Alloys

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