3D Thermal Finite Element Analysis of the SLM 316L Parts with Microstructural Correlations

He, Ketai; Zhao, Xue Tong

doi:10.1155/2018/6910187

Cited by 20 publications

(9 citation statements)

References 32 publications

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“…20 [114]. During solidification, the grains elongate along the building direction because they grow in the direction of the maximum temperature gradient [93,119]. Since the latter also varies through the depth of the melt pool, there will as well be some heterogeneity in the grain structure in that direction [120].…”

Section: Heterogeneous Microstructuresmentioning

confidence: 99%

Damage tolerant design of additively manufactured metallic components subjected to cyclic loading: State of the art and challenges

Zerbst

Bruno

Buffière

et al. 2021

Progress in Materials Science

156

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Section: Heterogeneous Microstructuresmentioning

confidence: 99%

Damage tolerant design of additively manufactured metallic components subjected to cyclic loading: State of the art and challenges

Zerbst

Bruno

Buffière

et al. 2021

Progress in Materials Science

156

View full text Add to dashboard Cite

“…The best surface quality was achieved with the lowest scanning speed which is 900 mm/s and laser power of 270 W. Scanning Speed and Laser Power are parameters that determine the amount of energy that is transferred to powder. Melting pool conditions are significantly related to the energy transferred into metal powder in volume units which can be defined as energy density, and it can be expressed in equation (1).…”

Section: Effect Of Process Parameters On Surface Roughnessmentioning

confidence: 99%

“…High temperature gradient could be caused by the intense energy input at the local zone, which leads to the high residual stresses and deformations of the final parts. 1 For this reason, there has been a wide range of studies on the SLM process in order to achieve the best mechanical properties and surface quality.…”

Section: Introductionmentioning

confidence: 99%

The effect of process parameters and scanning strategies on surface roughness of stainless steel 316L SLM parts

Sadeghi

Mohseni

Etefagh

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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Selective Laser Melting (SLM) process is a powder-based metal Additive Manufacturing (AM) technique that can generate fully functional and geometrically complex shapes which can be used in actual load-bearing situations. The mechanical properties of SLM parts are highly dependent on process parameters. Generally, the as-built surface quality of SLM parts is not good enough, and finding the optimum values of the parameters to improve surface quality is an ongoing challenge. In this study, an experimental approach was taken to investigate the effect of process parameters and scanning strategy on the surface roughness of stainless steel 316L parts as well as determine the optimal values of parameters and optimum scanning strategy. Laser profilometry was applied to measure surface roughness. Results showed that the scanning speed was the most effective parameter; increasing it from 900 mm/s to 1200 mm/s caused 62.5% rougher surfaces. Also, increasing laser power from 255 W to 300 W resulted in 41.8% rougher surfaces. Smaller hatch spaces caused better surface quality; decreasing it from 0.1 mm to 0.04 mm improved surface quality by 16%. And lower scan pattern angles resulted in slightly rougher surfaces (by 2%). Changing the settings from minimum overlap to maximum overlap resulted in 73.6% better surface quality. It was found that insufficient melting is the main reason for poor surface quality. Surface quality was improved whenever the resultant effect of parameters caused sufficient melting conditions. The optimum values were found as 270 W laser power, 900 mm/s scanning speed, 0.06 mm hatch spacing and 75° scan pattern angle. The best surface quality was obtained for the chessboard scanning strategy, with scan vectors being parallel to each other in adjacent blocks and rotating by 90° in successive layers. The optimum strategy caused 2.5 times better surface quality than the strategy of the roughest sample.

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“…Different scanning strategies lead to different thermal gradient, affecting mechanical properties, microstructure, residual stresses and overall quality of the L-PBF produced parts [19][20][21][22][23]. In particular, a large temperature gradient can result in high residual stresses, which can cause low mechanical properties, like strength, ductility and fatigue life [24].…”

Section: The Shortcomings Of Andrew Number As a Sufficient Measure Fo...mentioning

confidence: 99%

Effect of Scanning Strategy in the L-PBF Process of 18Ni300 Maraging Steel

Rivalta

Ceschini

Jarfors

et al. 2021

Metals

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Maraging steels are good candidates for the laser powder bed fusion process (L-PBF), also known as Selective Laser Melting, due to excellent weldability and resistance to quench cracking. Powders physical and chemical characteristics dominate the final microstructure and properties of the printed parts, that are also heavily influenced by the process parameters. In this study, the effects of the scanning strategies on dimensions, average surface roughness, density and material hardness were evaluated, keeping the powder type and the volumetric energy density (Andrew number) constant. The effects of the scanning strategy on these properties are far less understood than on other important ones, like residual stresses and distortion, strongly affected by the scanning strategy. In this study, parallel stripes, chessboard and hexagonal pattern strategies were studied, keeping the Andrew number constant but varying the interlayer rotation. In general, the hexagonal strategy underperformed compared to the chessboard and the stripes ones.

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3D Thermal Finite Element Analysis of the SLM 316L Parts with Microstructural Correlations

Cited by 20 publications

References 32 publications

Damage tolerant design of additively manufactured metallic components subjected to cyclic loading: State of the art and challenges

Damage tolerant design of additively manufactured metallic components subjected to cyclic loading: State of the art and challenges

The effect of process parameters and scanning strategies on surface roughness of stainless steel 316L SLM parts

Effect of Scanning Strategy in the L-PBF Process of 18Ni300 Maraging Steel

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