Fractional-order viscoelastic modeling of the magnetic field dependent transmissibility response of MRE isolator

Kiran, Katari; Poojary, Umanath R.; Gangadharan, K. V.

doi:10.1177/1045389x221087172

Cited by 3 publications

(1 citation statement)

References 58 publications

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“…Experimental results show that the dynamic modulus is dependent on frequency, strain amplitude, and temperature (Wan et al, 2019), and those dependencies are often referred to as common phenomena for particle-enhanced rubber. Considering the rheological and viscoelastic properties of MRE, Bouc-Wen model (Bai et al, 2019; Yang et al, 2013) and Ramberg-Osgood model (Zhu et al, 2021b) were developed to represent the hysteretic properties, and the fractional derivative was introduced to describe the dynamic behavior (Graczykowski and PawlOwski, 2017; Nadzharyan et al, 2018; Nguyen et al, 2020; Poojary and Gangadharan, 2022).…”

Section: Introductionmentioning

confidence: 99%

Dynamic modeling and vibration control for isolation systems based on magnetorheological elastomers

Zhu

Guo

et al. 2022

Journal of Intelligent Material Systems and Structures

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A fractional rheological model was developed for MRE-based isolation systems to investigate the influence of material elasticity and viscosity on the isolation effect. The identification of model parameters was realized by fitting experimental data of dynamic mechanical analysis for MRE structures. The superior rationality of modeling was reflected with the good consistency and repeatability. The transmissibility was calculated both theoretically and numerically. The method of numerical simulation was verified with an excellent agreement between theoretical and numerical results. The influence of model parameters on transmissibility and energy flow was analyzed to interpret the dynamic behavior of vibration isolation systems. A control strategy based on the coincidence frequency was developed for this MRE-based isolation system to protect the foundation or the sensitive equipment against periodic vibrations. The isolation effect was investigated from the prospect of transmissibility and energy flow. Eventually, the fuzzy control algorithm was adopted to isolate the sensitive equipment against random motions of the ground, and the effectiveness was further validated by comparing with the passive isolation.

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Section: Introductionmentioning

confidence: 99%

Dynamic modeling and vibration control for isolation systems based on magnetorheological elastomers

Zhu

Guo

et al. 2022

Journal of Intelligent Material Systems and Structures

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Developing the viscoelastic model and model-based fuzzy controller for the MRE isolator for the wide frequency range vibration isolation

Kiran

Poojary

Gangadharan

2022

J Braz. Soc. Mech. Sci. Eng.

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The ability to mitigate the vibrations by a magnetorheological elastomer (MRE) isolator varies with the amplitude of the excitation and the magnetic field. To implement semi-active vibration control, a mathematical model representing the dynamic response over a wide frequency range is crucial. In the present study, an attempt was made to develop a mathematical model for the designed MRE isolator over a wide frequency range under different operating conditions. A model-based fuzzy controller was developed to implement semi-active control attributes over a broadband frequency. The methodology entails that the MRE isolator operating in shear mode was designed. The performance of the isolator was evaluated over a frequency range of 15–80 Hz with varying input currents and excitation amplitudes. The transmissibility response of MRE isolator was mathematically represented using viscoelastic constitutive relations. The isolator system was represented in state-space form, and its parameters were determined by minimizing the mean square error between experimental and model responses. A polynomial function was used to generalize variations in viscoelastic model parameters with respect to the input current. Based on the controller stopping frequency, a relationship was established between the current input to the MRE isolator and the excitation amplitude. Using the mathematical equations, a model-based fuzzy controller was developed and tested in simulation and real-time conditions. The results show that the controller effectively isolates the vibration amplitude at various excitation amplitudes and frequencies.

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Iron-Based Nanoparticles Applied to Evaluate MRI Diagnosis and Treatment of Liver Cancer Treated with Apatinib

Pan

Zhang

2022

j biomed nanotechnol

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Objective: To investigate the value of iron-based nanoparticles in evaluating the magnetic resonance imaging (MRI) diagnosis and treatment of liver cancer treated with apatinib. Methods: Apatinib treatment and MRI were performed in patients with primary liver cancer. The characteristics of liver tissue sections and biodistribution in mice after injection of Fe2O3-PEG and iron oxide nanoparticles (Fe2O3-pep) were analyzed, and the MRI characteristics and magnetic resonance signals of Fe2O3-PEG and Fe2O3-pep nanoparticles were compared. Results: Fe2O3-PEG and Fe2O3-pep had little effect on the activity of human normal hepatocytes. There was no significant difference in liver tissue sections between mice injected with Fe2O3-PEG and Fe2O3-pep nanoparticles. The Fe2O3-PEG and Fe2O3-pep in the liver organs of mice were 11.3 and 9.7, which were significantly higher than those in other organs. At 12 hours and 24 hours after injection of Fe2O3-pep and Fe2O3-PEG nanoparticles, the signal at the tumor site decreased on T2WI images, the maximum contrast of magnetic resonance images was enhanced at 12 hours after injection, and the signal decrease was more significant in the group injected with Fe2O3-pep nanoparticles. Conclusion: Fe2O3-pep has higher tumor targeting and has positive application value in evaluating MRI diagnosis and treatment of liver cancer.

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Fractional-order viscoelastic modeling of the magnetic field dependent transmissibility response of MRE isolator

Cited by 3 publications

References 58 publications

Dynamic modeling and vibration control for isolation systems based on magnetorheological elastomers

Dynamic modeling and vibration control for isolation systems based on magnetorheological elastomers

Developing the viscoelastic model and model-based fuzzy controller for the MRE isolator for the wide frequency range vibration isolation

Iron-Based Nanoparticles Applied to Evaluate MRI Diagnosis and Treatment of Liver Cancer Treated with Apatinib

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