Simulation of Shape Memory Alloy (SMA)-Bias Spring Actuation for Self-Shaping Architecture: Investigation of Parametric Sensitivity

Yi, Hangmo

doi:10.3390/ma13112485

Cited by 9 publications

(4 citation statements)

References 23 publications

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“…For relatively large deflections of a helical spring, the relationship between the torsional strain ( γ ) and the longitudinal deflection ( δ 1 ) of the SMA spring is given (Yi, 2020) by equations (11) and (12), where C s = D d , L ( 0 ) is the unladen length of the spring and α i and α f are the initial and the final pitch angles of the spring respectively, and D and d are the diameter of the coils of the spring and the diameter of the wire of the spring, respectively. The unladen length L ( 0 ) of the SMA spring is given by equation (13).…”

Section: Conceptualization Of the Modelmentioning

confidence: 99%

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A bio-inspired shape memory alloy-based smart fin system for adaptive thermal management

Pandey,

Bhattacharya

2024

Journal of Intelligent Material Systems and Structures

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Thermal management systems utilizing fixed-area extended surfaces for thermal enhancement have been extensively investigated. Unlike these systems, in nature, few creatures display the ability to control heat dissipation in adaptation to changes in environmental conditions by controlling their exposed surface area of the body. Motivated by this, the primary objective of this research is the design, development, numerical and experimental evaluation of an adaptive variable area smart fin system for intelligent thermal management using a high-strain SMA spring actuator. Unlike most thermal management devices and techniques that involve a fixed surface area, a smart fin controlled by Pennate structure-based SMA (PeSMA) actuator is proposed for large actuation and compact arrangement. The capabilities of the smart fin to adaptively enhance heat transfer are experimentally demonstrated and numerically modeled. The proposed fin design can deliver improved thermal performance in terms of reduced operating temperature and pressure drop, which is an indicator of operational cost when the application involves variable and uncertain thermal load conditions. We envisage one of the future applications of this technology in the battery thermal management of Electric Vehicles (EVs) where deployable compact heat transfer system is highly desirable.

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Section: Conceptualization Of the Modelmentioning

confidence: 99%

“…The relationship between the torsional stress τ and the applied longitudinal force R 1 is given (Bhandari, 2010; Yi, 2020) by equation (15).…”

Section: Conceptualization Of the Modelmentioning

confidence: 99%

A bio-inspired shape memory alloy-based smart fin system for adaptive thermal management

Pandey,

Bhattacharya

2024

Journal of Intelligent Material Systems and Structures

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“…The linear spring stiffness factor k , also known as the stubbornness coefficient, is an important property that indicates the ability of the linear spring to resist deformation [ 1 , 2 , 3 ]. Being a kind of elastic object that stores energy, linear springs are widely used in many fields, such as furniture, architecture, machinery, and electronics [ 4 , 5 , 6 , 7 , 8 ]. Depending on the purpose for their usage, different types of linear springs should have different stiffness factors.…”

Section: Introductionmentioning

confidence: 99%

Measurement of Linear Springs’ Stiffness Factor Using Ultrasonic Sensing

Zhang

et al. 2022

Sensors

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We designed an ultrasonic testing instrument that consisted of a single-chip microcomputer module, a digital display module, and an ultrasonic sensor module, which conveniently eliminated the troubles faced by the traditional Jolly’s scale. For comparison purpose, three linear springs’ stiffness factors were measured by Jolly’s scale and by our ultrasonic testing instrument. We found that our instrument could more conveniently and in real time display the distance values between the ultrasonic ranging module and the horizontal bottom plate when loading different weights. By processing these distance data, we found that our instrument was more convenient for obtaining the linear springs’ stiffness factors and that the results were more accurate than those of Jolly’s scale. This study verified that our instrument can accurately realize the performance of Jolly’s scale under diverse temperatures and humidity levels with high data reliability and perfect stability.

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“…Although the structure of the SMA spring is simple, the performance of the SMA spring is complex due to its strong non-linear thermomechanical properties. 15–18 Ma et al 19 analyzed a biased bidirectional SMA actuator composed of SMA spring and steel spring, and established the relationship of output displacement and force of SMA spring actuator with temperature, stress-strain, material parameters as well as dimensional parameters. Gédouin et al 20 present a theoretical method for the analytical study of SMA helical spring actuators, which can effectively predict the thermomechanical behavior of linear biased spring actuators.…”

Section: Introductionmentioning

confidence: 99%

Thermomechanical performance analysis and experiment of electrothermal shape memory alloy helical spring actuator

Xiong

Huang

Shu

2021

Advances in Mechanical Engineering

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In this paper, an electrothermal shape memory alloy helical spring actuator constructed from shape memory alloy with copper-cored enameled wire is presented and fabricated. Based on the shear constitutive model of a shape memory alloy, the Thermo equilibrium equation and the geometrical equation of helical spring establish the thermomechanical theoretical model of helical spring actuator with electrothermal shape memory alloys under different scenarios. The thermomechanical behaviors of the actuator were verified by numerical simulation with experimental tests, and the actuator thermomechanical properties were derived from the analysis with current, temperature, response time, restoring force, and axial displacement as parameters. The experimental results show that the actuator produces a maximum recovery force of 70.2 N and a maximum output displacement of 7.7 mm at 100°C. The actuator response time is 26 s at a current of 3A. It is also demonstrated that the theoretical model can effectively characterize the complex thermo-mechanical properties of the actuator due to the strong nonlinearity of the shape memory alloy. The experimental temperature-force response and temperature-displacement response, as well as the force-displacement response at different temperatures, provide references for the design and fabrication of electrothermal shape-memory alloy coil spring actuators.

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Simulation of Shape Memory Alloy (SMA)-Bias Spring Actuation for Self-Shaping Architecture: Investigation of Parametric Sensitivity

Cited by 9 publications

References 23 publications

A bio-inspired shape memory alloy-based smart fin system for adaptive thermal management

A bio-inspired shape memory alloy-based smart fin system for adaptive thermal management

Measurement of Linear Springs’ Stiffness Factor Using Ultrasonic Sensing

Thermomechanical performance analysis and experiment of electrothermal shape memory alloy helical spring actuator

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