Microstructure dependent elastic modulus variation in NiTi shape memory alloy

Suresh, K.S.; Lahiri, Debrupa; Agarwal, Arvind; Suwas, Satyam

doi:10.1016/j.jallcom.2015.01.301

Cited by 18 publications

(6 citation statements)

References 20 publications

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“…And the incipient E decreases continuously from 42 to 30 GPa with the rolling strain further increasing from 0.92 to 1.70 (Figure 5(b) curves C and D). Researches have been reported that the monoclinic martensitic B19 ′ phase presents a very low elastic modulus (∼20–50 GPa), which is only half that of cubic austenitic B2 phase [18,31,32]. With the increase of rolling strain, the volume fraction of B19 ′ phase gradually increased (see Figure 2 spectra (b–d) and Figure 3), thus resulted in the decrease in elastic modulus of EPR TiNi alloy.…”

Section: Resultsmentioning

confidence: 97%

Effects of strain and electropulse duration on elastic modulus of TiNi alloy

Hao

Zhang

Shan

et al. 2020

Materials Science and Technology

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The elastic modulus of TiNi alloy was tailored by electroplastic rolling deformation and the effects of rolling strain and electropulse duration on the elastic modulus of electroplastic rolled TiNi alloy were systematically investigated. With rolling strain increasing from 0 to 1.70, the elastic modulus decreases from 61 to 30 GPa, which can be attributed to the increase in dislocation density and deformation-induced low modulus B19′ martensite phase. With electropulse duration increasing from 80 to 120 µs, the elastic modulus first decreases due to the volume fraction increase in low modulus B19′ martensite phase and then slightly increases on account of the dynamic recovery of dislocation and reverse martensite transformation resulted from electroplastic effect induced by high-energy electropulse.

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Section: Resultsmentioning

confidence: 97%

Effects of strain and electropulse duration on elastic modulus of TiNi alloy

Hao

Zhang

Shan

et al. 2020

Materials Science and Technology

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“…Modulus of elasticity is a key performance parameter of engineering materials, which will highlight a decreasing feature in the fatigue process. 30 The fatigue of materials can be estimated by analyzing the law of the decrease of elastic modulus with the number of stress cycles. 31 However, considering the complexity of working conditions and service environment of the key parts of the mechanical equipment in service, it is difficult to effectively identify the actual cyclic stress of the structure.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life assessment method of in-service mechanical structure

Yang

et al. 2021

Advances in Mechanical Engineering

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The most usual failure mode of any mechanical structure is fatigue, which is characterized by an important feature of the decrease of elastic modulus of the material. In this paper, a fatigue life evaluation model based on equivalent elastic modulus is proposed for in-service mechanical structure. In the proposed model, parameters that represent the operating conditions of the mechanical structure, such as load, vibration, and shaft torque, etc., are used as the generalized load. To replace the fatigue stress, the statistical method is used here, which is also used in the conventional fatigue analysis method. The structural strain is also measured simultaneously. Using the statistical theory, the equivalent modulus of elasticity is formulated based on the relationship of stress, strain, and modulus of elasticity. To validate the proposed model, an online fatigue damage experiment has been conducted. The experimental results have been compared with that of the fatigue life prediction model with good agreement. It is expected that the methodology proposed in this paper will be widely used.

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“…If single material is utilized for the central support structure, the flexual rigidity of the material should be low in order to achieve a better motion performance for the robot. And if superelastic Ni-Ti SMA is adopted for the central support structure, the flexual rigidity of the structure would reduce with the deformation increasing, which enables smaller driving force and enough flexual rigidity to maintain the shape of the robot after unloading the driving force [22,23].…”

Section: Introductionmentioning

confidence: 99%

Design, fabrication and modeling analysis of a spiral support structure with superelastic Ni-Ti shape memory alloy for continuum robot

Tian

Wang

Fang

et al. 2020

Smart Mater. Struct.

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In order to improve the working ability of continuum robots in confined space, a novel central support structure with the spiral cutting pattern is proposed in this paper. The spiral hollow scheme was selected through analysing different cutting patterns of the thin-walled superelastic Ni-Ti shape memory alloy (SMA) tube. Then the laser cutting process and heat treatment for fabricating the structure were analysed. The analysis results of their impact on the material characteristics proves that the laser cutting and heat treatment ensure the performance of the material. The single-segment and multi-segment prototypes both showed prospective motion ability in the flexural rigidity and continuous deformation tests respectively. Then the flexural rigidity model of the spiral structure was proposed, which was proved effective by comparing the model simulation and finite element analysis results. Furthermore, the central support structures with different flexural rigidities can be customized, which has broad application prospects in continuum robots.

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Microstructure dependent elastic modulus variation in NiTi shape memory alloy

Cited by 18 publications

References 20 publications

Effects of strain and electropulse duration on elastic modulus of TiNi alloy

Effects of strain and electropulse duration on elastic modulus of TiNi alloy

Fatigue life assessment method of in-service mechanical structure

Design, fabrication and modeling analysis of a spiral support structure with superelastic Ni-Ti shape memory alloy for continuum robot

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