Investigation of dynamic fracture behavior of additively manufactured Al-10Si-Mg using high-speed synchrotron X-ray imaging

Parab, Niranjan D.; Xiong, Lianghua; Guo, Qilin; Guo, Zherui; Kirk, Cody; Nie, Yizhou; Xiao, Xianghui; Fezzaa, Kamel; Everheart, Wesley; Chen, Weinong W.; Chen, Lianyi; Sun, Tao

doi:10.1016/j.addma.2019.100878

Cited by 15 publications

(7 citation statements)

References 33 publications

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“…The ubiquitous presence of porosity defects in additively manufactured metals is known to limit the mechanical properties compared to fully-dense materials during quasistatic and dynamic monotonic mechanical loading [1,2], as well as cyclic fatigue loading [3][4][5]. During laser powder bed fusion (L-PBF) processing, elaborate networks of voids can form by several mechanisms such as melt pool instabilities, incomplete melting of powder, and entrapped gas porosity [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…XCT can resolve internal flaws with a spatial resolutions on the order of 1 to 100 μm [9], which provides the FE model with explicit detail about the defects in ways that cannot be captured with analytical models [1,3,10,11]. This approach is justified by extensive documentation that failure in AM components emanates from large defects that can be detected by XCT, as shown by in situ experiments during quasistatic [12,13] and dynamic loading [2]. Similarly, fatigue cracks have been shown to initiate exclusively at large flaws or surface features that can be reliably detected by XCT [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

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Deep learning prediction of stress fields in additively manufactured metals with intricate defect networks

Croom

Berkson

Mueller

et al. 2022

Mechanics of Materials

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deep learning prediction of stress fields in additively manufactured metals with intricate defect networks

Croom

Berkson

Mueller

et al. 2022

Mechanics of Materials

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“…1, which reports the tensile stress -strain curves for as cast and as built LPBF AlSi10Mg. The high cooling rate of the LPBF process yields a totally different and much finer microstructure than casting [6].…”

Section: Introductionmentioning

confidence: 99%

Influence on microstructure, strength and ductility of build platform temperature during laser powder bed fusion of AlSi10Mg

et al. 2020

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“…Thus, some materials may not be applicable to the LPBF process. Recently, there has been much research on the LPBF of steels [6][7][8][9], nickel-based superalloys [4,5], titanium alloys [10,11], and aluminum alloys [12,13]. Another method similar to LPBF is electron beam melting (EBM) [14].…”

Section: Introductionmentioning

confidence: 99%

Microstructure Evolution, Mechanical Properties and Deformation Behavior of an Additively Manufactured Maraging Steel

Chadha

Tian²,

Bocher

et al. 2020

Materials

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In this work, the microstructure and mechanical properties of an additively manufactured X3NiCoMoTi18-9-5 maraging steel were determined. Optical and electron microscopies revealed the formation of melt pool boundaries and epitaxial grain growth with cellular dendritic structures after the laser powder bed fusion (LPBF) process. The cooling rate is estimated to be around 106 °C/s during solidification, which eliminates the nucleation of any precipitates. However, it allows the formation of austenite with a volume fraction of about 5% and dendritic structures with primary arm spacing of 0.41 ± 0.23 µm. The electron backscatter diffraction analysis showed the formation of elongated grains with significant low-angle grain boundaries (LAGBs). Then, a solutionizing treatment was applied to the as-printed samples to dissolve all the secondary phases, followed by aging treatment. The reverted austenite was evident after heat treatment, which transformed into martensite after tensile testing. The critical plastic stresses for this transformation were determined using the double differentiation method. The tensile strength of the alloy increased from 1214 MPa to 2106 MPa after the aging process due to the formation of eta phase. The experimental data were complemented with thermodynamic and mechanical properties simulations, which showed a discrepancy of less than 3%.

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Investigation of dynamic fracture behavior of additively manufactured Al-10Si-Mg using high-speed synchrotron X-ray imaging

Cited by 15 publications

References 33 publications

Deep learning prediction of stress fields in additively manufactured metals with intricate defect networks

Deep learning prediction of stress fields in additively manufactured metals with intricate defect networks

Influence on microstructure, strength and ductility of build platform temperature during laser powder bed fusion of AlSi10Mg

Microstructure Evolution, Mechanical Properties and Deformation Behavior of an Additively Manufactured Maraging Steel

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