Effect of surface topography on stress concentration factor

Cheng, Zhengkun; Liao, Ridong

doi:10.3901/cjme.2015.0424.047

Cited by 18 publications

(9 citation statements)

References 13 publications

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“…On the interface involved in friction [31][32][33]: (10) On all heat exchange interfaces: (11) In the Eq.(3)-Eq. (5), 0 T is the ambient temperature; q is the heat flux absorbed,…”

Section: Sliding Friction-thermal Modelingmentioning

confidence: 99%

Evaluation of Bolt and Guide Rail Considering Surface Roughness and Bionics in Reciprocating Motion

Yang

et al. 2021

Preprint

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The temperature rise in the contact area of the sliding friction pair is an important factor that causes the sliding friction pairs to adhere and affect the movement, and the temperature of the sliding friction pair is affected by many factors. The influential trend of these factors on the temperature is analyzed by using the finite element software, the bolt and guide rail of a Gatling weapon is simulated under the condition of considering the surface roughness and bionics. The results demonstrate that the stress of the result decreases a lot when the bolt is bionic, which is 41.1% lower than the normal condition. However, the displacement increases slightly, only 0.0016mm. Bionics has more benefits than roughness in reducing stress. In the thermal situation analysis of the 10000 firing rate, the combination which comes from the general guide rail and the bionics bolt is 168.130, but the combination which comes from the general guide rail and general bolt is 86.2580. This also explains why modern Gatling weapons do not use the bionics structure, because, with the friction, its temperature is high. For continuous firing weapons, too high a temperature is a problem. If the firing rate is lower, a bionics structure can be used.

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“…On the interface involved in friction [31][32][33]: (10) On all heat exchange interfaces: (11) In the Eq.(3)-Eq. (5), 0 T is the ambient temperature; q is the heat flux absorbed,…”

Section: Sliding Friction-thermal Modelingmentioning

confidence: 99%

Evaluation of Bolt and Guide Rail Considering Surface Roughness and Bionics in Reciprocating Motion

Yang

et al. 2021

Preprint

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“…Increased surface roughness introduces surface mediated crack initiation sites, reducing strength and fatigue life of 3D printed as well as traditionally manufactured titanium implants 19,20 . Intentionally incorporating roughness on titanium implants for improved friction and osseointegration comes at a cost to mechanical behavior as the additional topography creates stress concentrations that can lead to fatigue of the construct 21 . In addition to theoretically enhancing osteoblast activity, roughness has been shown to increase the potential for bacterial biofilm formation 22 .…”

Section: Introductionmentioning

confidence: 99%

Effect of surface topography on in vitro osteoblast function and mechanical performance of 3D printed titanium

Abar

Kelly

Pham

et al. 2021

J Biomedical Materials Res

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Critical‐sized defects remain a significant challenge in orthopaedics. 3D printed scaffolds are a promising treatment but are still limited due to inconsistent osseous integration. The goal of the study is to understand how changing the surface roughness of 3D printed titanium either by surface treatment or artificially printing rough topography impacts the mechanical and biological properties of 3D printed titanium. Titanium tensile samples and discs were printed via laser powder bed fusion. Roughness was manipulated by post‐processing printed samples or by directly printing rough features. Experimental groups in order of increasing surface roughness were Polished, Blasted, As Built, Sprouts, and Rough Sprouts. Tensile behavior of samples showed reduced strength with increasing surface roughness. MC3T3 pre‐osteoblasts were seeded on discs and analyzed for cellular proliferation, differentiation, and matrix deposition at 0, 2, and 4 weeks. Printing roughness diminished mechanical properties such as tensile strength and ductility without clear benefit to cell growth. Roughness features were printed on mesoscale, unlike samples in literature in which roughness on microscale demonstrated an increase in cell activity. The data suggest that printing artificial roughness on titanium scaffold is not an effective strategy to promote osseous integration.

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“…Thus, many studies contribute to the surface roughness effect on fatigue strength, investigating machined surfaces obtaining periodic surface textures [24][25][26][27][28][29]. As in the literature [30,31] various analytical equations are introduced to characterise geometrical notches, these formulations are adapted to assess machined [32][33][34][35] or even cast [36][37][38], and more recently also additively manufactured [39] surfaces.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Surface Layer Fatigue Strength Assessment of EN AC-46200 Sand Castings

Pomberger

Oberreiter

Leitner

et al. 2020

Metals

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The local fatigue strength within the aluminium cast surface layer is affected strongly by surface layer porosity and cast surface texture based notches. This article perpetuates the scientific methodology of a previously published fatigue assessment model of sand cast aluminium surface layers in T6 heat treatment condition. A new sampling position with significantly different surface roughness is investigated and the model exponents a 1 and a 2 are re-parametrised to be suited for a significantly increased range of surface roughness values. Furthermore, the fatigue assessment model of specimens in hot isostatic pressing (HIP) heat treatment condition is studied for all sampling positions. The obtained long life fatigue strength results are approximately 6% to 9% conservative, thus proven valid within an range of 30 µm ≤ S v ≤ 260 µm notch valley depth. To enhance engineering feasibility even further, the local concept is extended by a probabilistic approach invoking extreme value statistics. A bivariate distribution enables an advanced probabilistic long life fatigue strength of cast surface textures, based on statistically derived parameters such as extremal valley depth S v i and equivalent notch root radius ρ ¯ i . Summing up, a statistically driven fatigue strength assessment tool of sand cast aluminium surfaces has been developed and features an engineering friendly design method.

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Effect of surface topography on stress concentration factor

Cited by 18 publications

References 13 publications

Evaluation of Bolt and Guide Rail Considering Surface Roughness and Bionics in Reciprocating Motion

Evaluation of Bolt and Guide Rail Considering Surface Roughness and Bionics in Reciprocating Motion

Effect of surface topography on in vitro osteoblast function and mechanical performance of 3D printed titanium

Probabilistic Surface Layer Fatigue Strength Assessment of EN AC-46200 Sand Castings

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