Combined effects of grain size and training on fatigue resistance of nanocrystalline NiTi shape memory alloy wires

Chen, Peng; Cai, Xiushan; Liu, Yunfan; Wang, Jialei; Jin, Min; Jin, Xuejun

doi:10.1016/j.ijfatigue.2022.107461

Cited by 17 publications

(4 citation statements)

References 45 publications

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“…This technology was found to reduce crack growth rates [54]. Another study has shown to improve the fatigue resistance of NiTi wire by increased grain size coupled with stress-control mechanical training [55].…”

Section: Discussionmentioning

confidence: 99%

Comprehensive Characterization of Blue Wire NiTi File Failure: A Comparative Analysis of Cyclic Fatigue and Torsional Resistance Properties

Barakat,

Almohareb,

Algahtani

et al. 2024

Coatings

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This study compared the fatigue resistance and elemental composition of two blue heat-treated nickel–titanium (NiTi) files used in root canal preparation as follows: Tia Tornado Blue (TTB) and Race Evo (RE) file systems. For cyclic fatigue testing, the two systems were tested where each file was rotated inside an artificial metal canal submerged in either sodium hypochlorite or saline solution until fracture. Time to fracture was recorded. For torsional fatigue testing, the file tip was secured while the file was allowed to rotate at a fixed rate until fracture. Torque at failure was recorded. The two experiments were performed at simulated body temperature and the length of fractured segments was measured. Statistical analysis was carried out with a significance level (p-value) set at 5%. The mean cycles to fracture for RE were superior to that of TTB irrespective of the solution used (p < 0.05). TTB’s cyclic fatigue resistance decreased in NaOCl (p < 0.0001). RE demonstrated lower torque at failure (p = 0.002). All files were fractured at comparable lengths (p = 0.218). Although RE is considered more resistant to cyclic fatigue, it showed inferior torsional resistance compared with TTB. The NaOCl negatively affected the TTB’s cyclic fatigue resistance.

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Section: Discussionmentioning

confidence: 99%

Comprehensive Characterization of Blue Wire NiTi File Failure: A Comparative Analysis of Cyclic Fatigue and Torsional Resistance Properties

Barakat,

Almohareb,

Algahtani

et al. 2024

Coatings

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“…At the same time, the critical stress of martensite variant detwinning gradually decreased with an increase in the compression time. This can be attributed to the path effect resulting from the repeated compression process, which also exists in bulk alloys [5,[29][30][31][32][33][34]. The process leads to the reorientation of dislocations, causing some disadvantageously oriented dislocations to move outside the twin motion path [35].…”

Section: Shape Memory Effectmentioning

confidence: 99%

Mechanical and Magnetic Properties of Porous Ni50Mn28Ga22 Shape Memory Alloy

Li,

Wang,

et al. 2024

Metals

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A porous Ni50Mn28Ga22 alloy was produced using powder metallurgy, with NaCl serving as the pore-forming agent. The phase structure, mechanical properties, and magnetic properties of annealed bulk alloys and porous alloys with different pore sizes were analyzed. Vacuum sintering for mixed green billets in a tube furnace was employed, which facilitated the direct evaporation of NaCl, resulting in the formation of porous alloys characterized by a complete sinter neck, uniform pore distribution, and consistent pore size. The study found that porous alloys within this size range exhibit a recoverable shape memory performance of 3.5%, as well as a notable decrease in the critical stress required for martensitic twin shear when compared to that of bulk alloys. Additionally, porous alloys demonstrated a 2% superelastic strain when exposed to 353 K. Notably, under a 1.5 T magnetic field, the porous Ni50Mn28Ga22 alloy with a pore size ranging from 20 to 30 μm exhibited a peak saturation magnetization of 62.60 emu/g and a maximum magnetic entropy of 1.93 J/kg·K.

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“…Such improvement is of interest to practical applications, especially for SMA wires experiencing long term cyclic loading in vibration control applications. For example, results from Chen et al [19] showed that applying heat treatment can improve fatigue behaviour of NiTi SMA wires by increasing material grain size and also result in a higher critical stress to trigger stress-induced martensitic transformation with less residual strain.…”

Section: Introductionmentioning

confidence: 99%

“…Unlike heat treatment, which has been extensively studied by many researchers, e.g. [19,20], research on the effects of mechanical training on SMA properties is scarce and there is no consistency for the training conditions used in existing studies. For example, as part of their study of the fatigue behaviour of SMA, Yang et al [8] used a 4% strain amplitude for 20 cycles in the training step.…”

Section: Introductionmentioning

confidence: 99%

Effect of training on the cyclic behaviour of SMA wire

Davarnia

Cheng

Engelen

2023

Smart Mater. Struct.

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Shape Memory Alloys (SMAs) are a new generation of smart metallic materials with numerous unique and widely applicable characteristics. With their superelasticity and ability to dissipate energy under cyclic loading, SMAs are an excellent choice for passive vibration energy dissipation systems. However, due to functional fatigue, the energy dissipation and recentring capacity of virgin SMA dwindles at a decreasing rate during cyclic loading and eventually reaches a stable level. Since for vibration control applications stable mechanical properties with predictable responses to vibrational forces are preferred, preloading SMA for mechanical training is proposed to overcome this drawback. Nevertheless, the effect of training conditions on the mechanical behaviour of SMA has only been investigated in a few studies. To fill this research gap, the influence of different training parameters, such as strain amplitude, frequency, number of cycles and prestrain, on the mechanical behaviour of SMA is examined. The results show that while a sufficient number of cycles and certain level of strain amplitude are required to reach a stable stress-strain relation, training frequency is the most important parameter for eliminating residual strain.

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Combined effects of grain size and training on fatigue resistance of nanocrystalline NiTi shape memory alloy wires

Cited by 17 publications

References 45 publications

Comprehensive Characterization of Blue Wire NiTi File Failure: A Comparative Analysis of Cyclic Fatigue and Torsional Resistance Properties

Comprehensive Characterization of Blue Wire NiTi File Failure: A Comparative Analysis of Cyclic Fatigue and Torsional Resistance Properties

Mechanical and Magnetic Properties of Porous Ni50Mn28Ga22 Shape Memory Alloy

Effect of training on the cyclic behaviour of SMA wire

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