Experimental investigation on the dynamic mechanical properties of soft magnetic entangled metallic wire material

Ma, Yuanyuan; Zhang, Qicheng; Zhang, Dayi; Hu, Wenzhong; Hong, Jun

doi:10.1088/1361-665x/aa68b2

Cited by 13 publications

(11 citation statements)

References 27 publications

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“…Unlike the wire inside metal mesh, which is entangled by folding and squeezing, metal rubber (MR) consists of a mass of tiny metal helix springs entangled with each other via embedding and interlacing during the forming process. This entangled pattern of the tiny metal springs results in improved elasticity and mechanical properties; therefore, the MR components show excellent performance in engineering applications [13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Predicting Nonlinear and Anisotropic Mechanics of Metal Rubber Using a Combination of Constitutive Modeling, Machine Learning, and Finite Element Analysis

et al. 2021

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Metal rubber (MR) is an entangled fibrous functional material, and its mechanical properties are crucial for its applications; however, numerical constitutive models of MR for prediction and calculation are currently undeveloped. In this work, we provide a numerical constitutive model to express the mechanics of MR materials and develop an efficient finite elements method (FEM) to calculate the performance of MR components. We analyze the nonlinearity and anisotropy characteristics of MR during the deformation process. The elasticity matrix is adopted to express the nonlinearity and anisotropy of MR. An artificial neural network (ANN) model is built, trained, and tested to output the current elastic moduli for the elasticity matrix. Then, we combine the constitutive ANN model with the finite element method simulation to calculate the mechanics of the MR component. Finally, we perform a series of static and shock experiments and finite element simulations of an MR isolator. The results demonstrate the feasibility and accuracy of the numerical constitutive MR model. This work provides an efficient and convenient method for the design and analysis of MR components.

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Section: Introductionmentioning

confidence: 99%

Predicting Nonlinear and Anisotropic Mechanics of Metal Rubber Using a Combination of Constitutive Modeling, Machine Learning, and Finite Element Analysis

et al. 2021

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“…It can maintain good mechanical property in harsh environments, such as high or low temperature, electromagnetic radiation and corrosion. [1][2][3][4] Under vibration loads, metal rubber has the typical nonlinear hysteresis characteristic, which is described by forcedisplacement curves or the loops of stress-strain. The hysteresis loop is composed of a basic elastic deformation and a pure hysteresis loop of the damping force.…”

Section: Introductionmentioning

confidence: 99%

Optimization on hysteresis dynamic model of metal rubber material based on dry friction damping term

Tao

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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As one kind of porous elastic metal material, metal rubber is used in vibration isolation widely due to its better damping characteristic. During loading and unloading, the elastoplastic deformation and damping characteristics of this material are usually described by constructing its dynamic model. Although traditional models can describe the hysteresis performance, the accurate parameter identification of material structure under different preparation conductions is limited due to its complex expression or equivalent math form. In this paper, a dynamic hysteresis model is optimized through adding a dry friction damping term based on the micro-element analysis theory and analysis method of material mesoscopic structure. The relation among the manufacture technic, size of metal wire and vibration parameters were established, which accurately describes hysteresis characteristic of metal rubber by dry friction when the metal wires are in the state of slipping contact. The result is verified by the harmonic vibration experiment that the model has good adaptability and convenience, especially can improve the accuracy and convenience of parameter identification on the forming materials of metal rubber.

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“…In previous research, the researchers' investigations on EMWM mainly focused on the quasi-static mechanical properties [10][11][12], dynamic mechanical properties [13][14][15], the influence of different factors on its mechanical properties [16][17][18][19][20][21], damping mechanism [1,22] and engineering application [23,24]. However, the dynamic compressive mechanical properties of entangled metallic wire material under low-velocity impact have not received enough attention from researchers.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Constitutive Model on Dynamic Compressive Mechanical Properties of Entangled Metallic Wire Material under Low-Velocity Impact

Bai

et al. 2020

Materials

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In this paper, the dynamic compressive mechanical properties of entangled metallic wire material (EMWM) under low-velocity impact were investigated and the constitutive model for EMWM under low-velocity impact was established. The research in this paper is based on a series of drop-hammer tests. The results show that the energy absorption rate of EMWM is in the range from 50% to 85%. Moreover, the EMWM with a higher relative density would not plastically deform macroscopically and has excellent characteristics of repetitive energy absorption. With the increase in relative density, the maximum deformation of EMWM decreases gradually, and the impact force of EMWM increases gradually. With the increase in impact-velocity, the phenomenon of stiffness softening before reaching the maximum deformation of EMWM becomes more significant. A constitutive model for EMWM based on the Sherwood-Frost model was established to predict the dynamic compressive mechanical properties of EMWM. The accuracy of the model was verified by comparing the calculated results with the experimental data of the EMWM with different relative densities under different impact-velocities. The comparison results show that the established model can properly predict the dynamic compressive mechanical characteristics of EMWM under low-velocity impact loading.

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Experimental investigation on the dynamic mechanical properties of soft magnetic entangled metallic wire material

Cited by 13 publications

References 27 publications

Predicting Nonlinear and Anisotropic Mechanics of Metal Rubber Using a Combination of Constitutive Modeling, Machine Learning, and Finite Element Analysis

Predicting Nonlinear and Anisotropic Mechanics of Metal Rubber Using a Combination of Constitutive Modeling, Machine Learning, and Finite Element Analysis

Optimization on hysteresis dynamic model of metal rubber material based on dry friction damping term

Experimental and Constitutive Model on Dynamic Compressive Mechanical Properties of Entangled Metallic Wire Material under Low-Velocity Impact

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