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"Finite element" Keyword-tagged Publications:

Title Authors PubMed ID
1 3D bioheat transfer mapping reveals nanomagnetic particles effectiveness in radiofrequency hyperthermia breast cancer treatment comparing to experimental study Kavousi M; Saadatmand E; Masoumbeigi M; Mahdavi R; Riyahi Alam N; 39557504
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2 Investigation of Macroscopic Mechanical Behavior of Magnetorheological Elastomers under Shear Deformation Using Microscale Representative Volume Element Approach Abdollahi I; Sedaghati R; 38794567
ENCS
3 Design Optimization of a Hybrid-Driven Soft Surgical Robot with Biomimetic Constraints Roshanfar M; Dargahi J; Hooshiar A; 38275456
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4 On the soft tissue ultrasound elastography using FEM based inversion approach Eshaghinia SS; Taghvaeipour A; Aghdam MM; Rivaz H; 38240143
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5 The influence of inter-bubble spacing on the resonance response of ultrasound contrast agent microbubbles Yusefi H; Helfield B; 36223708
BIOLOGY
6 Optical Fiber Array Sensor for Force Estimation and Localization in TAVI Procedure: Design, Modeling, Analysis and Validation Bandari N; Dargahi J; Packirisamy M; 34450813
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7 Finite Element Modelling of a Reflection Differential Split-D Eddy Current Probe Scanning Surface Notches. Mohseni E, França DR, Viens M, Xie WF, Xu B 32214578
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8 Adaptive Neuro-fuzzy Inference System Trained for Sizing Semi-elliptical Notches Scanned by Eddy Currents. Mohseni E, Viens M, Xie WF 31929668
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9 Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction. Vorwerk J, Aydin Ü, Wolters CH, Butson CR 31231178
PERFORM
10 Zoomed MRI Guided by Combined EEG/MEG Source Analysis: A Multimodal Approach for Optimizing Presurgical Epilepsy Work-up and its Application in a Multi-focal Epilepsy Patient Case Study. Aydin Ü, Rampp S, Wollbrink A, Kugel H, Cho J-, Knösche TR, Grova C, Wellmer J, Wolters CH 28510905
PERFORM

 

Title:Investigation of Macroscopic Mechanical Behavior of Magnetorheological Elastomers under Shear Deformation Using Microscale Representative Volume Element Approach
Authors:Abdollahi ISedaghati R
Link:https://pubmed.ncbi.nlm.nih.gov/38794567/
DOI:10.3390/polym16101374
Publication:Polymers
Keywords:finite element methodhyper-elastic materialsmagnetorheological elastomers (MREs)periodic boundary condition (PBC)representative volume element (RVE)
PMID:38794567 Category: Date Added:2024-05-25
Dept Affiliation: ENCS
1 Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.

Description:

Magnetorheological elastomers (MREs) are a class of smart materials with rubber-like qualities, demonstrating revertible magnetic field-dependent viscoelastic properties, which makes them an ideal candidate for development of the next generation of adaptive vibration absorbers. This research study aims at the development of a finite element model using microscale representative volume element (RVE) approach to predict the field-dependent shear behavior of MREs. MREs with different elastomeric matrices, including silicone rubber Ecoflex 30 and Ecoflex 50, and carbonyl iron particles (CIPs) have been considered as magnetic particles. The stress-strain characteristic of the pure silicon rubbers was evaluated experimentally to formulate the nonlinear Ogden strain energy function to describe hyper-elastic behavior of the rubbery matrix. The obtained mechanical and magnetic properties of the matrix and inclusions were integrated into COMSOL Multiphysics to develop the RVE for the MREs, in 2D and 3D configurations, with CIP volume fraction varying from 5% to 40%. Periodic boundary condition (PBC) was imposed on the RVE boundaries, while undergoing shear deformation subjected to magnetic flux densities of 0-0.4 T. Comparing the results from 2D and 3D modeling of isotropic MRE-RVE with the experimental results from the literature suggests that the 3D MRE-RVE can be effectively used to accurately predict the influence of varying factors including matrix type, volume fraction of magnetic particles, and applied magnetic field on the mechanical behavior of MREs.





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