Vibration‐based bending fatigue of additively manufactured alloy 718 with varied surface conditions

Tullis, Rachel; Eidt, Wesley; Gockel, Joy; Klingbeil, Nathan W.; Scott‐Emuakpor, Onome

doi:10.1111/ffe.13944

Cited by 2 publications

(3 citation statements)

References 25 publications

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“…For AM metal parts, surface roughness is also a key factor affecting their fatigue life 85,173,174 . Vayssette et al 43 studied the influence of surface roughness on the HCF life of SLM Ti‐6Al‐4V parts.…”

Section: Non‐ml‐based Methods For Fatigue Life Prediction Of Am Metalsmentioning

confidence: 99%

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Recent developments and future trends in fatigue life assessment of additively manufactured metals with particular emphasis on machine learning modeling

Zhan,

He,

Tang

et al. 2023

Fatigue Fract Eng Mat Struct

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Additive manufacturing (AM) has emerged as a very promising technology for producing complex metallic components with enhanced design flexibility. However, the mechanical properties and fatigue behavior of AM metals differ significantly from conventionally manufactured materials, thereby presenting challenges in accurately predicting their fatigue life. This study provides a comprehensive overview of recent developments and future trends in fatigue life prediction of AM metals, with a particular emphasis on machine learning (ML) modeling techniques. This review recalls recent developments and achievements in fatigue characteristics of AM metals, ML‐based approaches for fatigue life prediction of AM metals, and non‐ML‐based methodologies for the same purpose. In particular, some commonly used regression and classification techniques for fatigue evaluation of AM metals are summarized and elaborated. The study intends to furnish researchers, engineers, and practitioners in the field of AM with a guidance for the accurate and efficient prediction of fatigue life in AM metal components.

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Section: Non‐ml‐based Methods For Fatigue Life Prediction Of Am Metalsmentioning

confidence: 99%

“…For AM metal parts, surface roughness is also a key factor affecting their fatigue life. 85,173,174 Vayssette et al 43 studied the influence of surface roughness on the HCF life of SLM Ti-6Al-4V parts. The FE model was reconstructed based on experimental observations, as shown in Figure 14.…”

Section: Stress-based Modelsmentioning

confidence: 99%

Recent developments and future trends in fatigue life assessment of additively manufactured metals with particular emphasis on machine learning modeling

Zhan,

He,

Tang

et al. 2023

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

show abstract

“…It is well known that rough surfaces negatively impact the parts fatigue performance. 7,8 A greater understanding of surface roughness can help understand the fatigue failure processes since irregularities in the surface play a crucial part in these mechanisms, such as fracture initiation. 9 Controlling the surface roughness issue has been considered a significant challenge for the L-PBF process.…”

Section: Introductionmentioning

confidence: 99%

Role of laser power and scan speed combination on the surface quality of additive manufactured nickel-based superalloy

Praveenkumar,

Raja,

Jamadon

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part L:

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In laser-based powder bed fusion (L-PBF), the volumetric energy density (VED) controlled by laser power (LP) and scan speed (SS) significantly affects the desired surface quality. Any variations in the LP and SS on the VED notably affect the surface quality due to changes in laser powder interactions. Therefore, the present study concentrated on the effect of various combinations of LP and SS, i.e. low LP (160 W) with high SS (1250 mm/s), high LP (320 W) with low SS (410 mm/s), low LP (160 W) with low SS (550 mm/s) and high LP (320 W) with high SS (1100 mm/s). The wide range of varying VEDs was chosen between 29 and 177 J/mm3. The results showed the VED range between 66 and 90 J/mm3 exhibited minimum surface roughness parameters of 0.51 < Ra < 0.52 µm, 0.63 < Rq < 0.64 µm, and 2.53 < Rz < 2.79 µm. The specific impact of LP and SS combination between 160 and 320 W with 400–1250 mm/s by maintaining a constant VED of 66 J/mm3 was also investigated. At a constant VED of 66 J/mm3, the combination of 280 W and 960 mm/s shows minimum roughness parameters of Ra = 0.527 µm, Rq = 0.645 µm, and Rz = 2.446 µm. The results showed that the combination of low LP with low SS, high LP with high SS, low LP with high SS, and high LP with low SS, increases surface roughness.

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Vibration‐based bending fatigue of additively manufactured alloy 718 with varied surface conditions

Cited by 2 publications

References 25 publications

Recent developments and future trends in fatigue life assessment of additively manufactured metals with particular emphasis on machine learning modeling

Recent developments and future trends in fatigue life assessment of additively manufactured metals with particular emphasis on machine learning modeling

Role of laser power and scan speed combination on the surface quality of additive manufactured nickel-based superalloy

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