Application of Data Science Approach to Fatigue Property Assessment of Laser Powder Bed Fusion Stainless Steel 316L

Zhang, M.; Sun, Chen-Nan; Zhang, X.; Goh, Phoi Chin; Wei, Jun; Hardacre, David; Li, Haisu

doi:10.1007/978-3-030-13980-3_13

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…As was found in [31], electron beam melting allows for samples with a density of up to 99.8%. As shown by Zhang et al, there is a critical size (more than 50 µm) regarding the technological pores involved in the destruction process under high cyclic loads [32]. At low-load levels (less than 275 MPa), fatigue destruction in AM 316L steel begins predominantly from the surface [33].…”

Section: Discussionmentioning

confidence: 96%

Design and Structural Factors’ Influence on the Fatigue Life of Steel Products with Additive Manufacturing

Kazantseva,

Il’inikh,

Kuznetsov

et al. 2023

Materials

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The influence of implant design and structural factors on fatigue life under cyclic loading was investigated. The implants were manufactured from 316L steel powder using 3D printing for medical use. A simulation model of implant deformation was built using ANSYS software. The obtained data showed that the geometry of the implant had the necessary margin of safety for osseointegration time. It was found that the stress concentration factor, which is associated with fatigue life, for an implant with a hexagon head and internal thread depends on the mechanical properties of the metal, design, and load conditions. The presence of internal threads and holes in the implant increases the stress concentration factor by more than 10 times. The number of load cycles for the failure of the implant, which was calculated by taking into account a coefficient for reducing the endurance limit, was found to be sufficient for implant osseointegration.

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Section: Discussionmentioning

confidence: 96%

Design and Structural Factors’ Influence on the Fatigue Life of Steel Products with Additive Manufacturing

Kazantseva,

Il’inikh,

Kuznetsov

et al. 2023

Materials

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“…The powder characteristics such as powder morphology, particle size distribution, powder flow ability, packing density and the use of recycled powder can induce porosity in the printed part (Dowling et al, 2020). Second, an increase in layer thickness reduces remelting of the previous layer, resulting in lack-of-fusion defects (Zhang et al, 2017). The optical micrographs in Figure 2 exhibit the presence of pores and voids due to the lack of fusion in test coupons printed with different layer thickness values.…”

Section: Causes Of Low Densitymentioning

confidence: 99%

Review of quality issues and mitigation strategies for metal powder bed fusion

Ravalji

Raval

2022

RPJ

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Purpose Selective laser melting and electron beam melting processes are well-known for the additive manufacturing of metal parts. Metal powder bed fusion (MPBF) is a common term for them. The MPBF process can empower the manufacturing of intricate shapes by reducing the use of special tools, shortening the supply chain and allowing small batches. However, the MPBF process suffers from many quality issues. In literature, several works are recorded for qualification of the MPBF part. The purpose of this study is to recollect those works done for quality control and report their helpful findings for further research and development. Design/methodology/approach A systematic literature review was conducted to highlight the major quality issues in the MPBF process and its root causes. Further, the works reported in the literature for mitigation of these issues are classified and discussed in five categories: experimental investigation, finite element method-based numerical models, physics-based analytical models, in-situ control using artificial intelligence (AI) and machine learning (ML) methods and statistical approaches. A comparison is also prepared among these strategies based on their suitability and limitations. Additionally, improvements in MPBF printers are pointed out to enhance the part quality. Findings Analytical models require less computational time to simulate the MPBF process and need a smaller number of experiments to confirm the results. They can be used as an efficient process parameter planning tool to print metal parts for noncritical applications. The AI-ML based quality control is also suitable for MPBF processes as it can control many processing parameters that may affect the quality of the MPBF part. Moreover, capabilities of MPBF printers like thinner layer thickness, smaller beam diameter, multiple lasers and high build temperature range can help in quality control. Research limitations/implications This study converts the piecemeal data on MPBF part qualification methods into interesting information and presents it in tabular form under each strategy. This tabular information provides the basis for further quality improvement efforts in the MPBF process. Originality/value This study references researchers and practitioners on recent quality control efforts and their significant findings for a better quality of MPBF part.

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“…In case of AM materials, the fatigue data scatter is explained in some studies from the point of view of the spatial and defect size distributions present in the samples [18][19][20]. For the 316L L-PBF, fatigue behaviour seems to be affected by the presence of process related defects such as gas pores and Lack of Fusion pores (LoF) [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Fatigue strength and life assessment of L-PBF 316L stainless steel showing process and corrosion related defects

Merot

Morel

Pessard

et al. 2022

Engineering Fracture Mechanics

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Application of Data Science Approach to Fatigue Property Assessment of Laser Powder Bed Fusion Stainless Steel 316L

Cited by 6 publications

References 9 publications

Design and Structural Factors’ Influence on the Fatigue Life of Steel Products with Additive Manufacturing

Design and Structural Factors’ Influence on the Fatigue Life of Steel Products with Additive Manufacturing

Review of quality issues and mitigation strategies for metal powder bed fusion

Fatigue strength and life assessment of L-PBF 316L stainless steel showing process and corrosion related defects

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