2020
DOI: 10.1016/j.compscitech.2020.108130
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The static behaviors study of magneto-electro-elastic materials under hygrothermal environment with multi-physical cell-based smoothed finite element method

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Cited by 25 publications
(6 citation statements)
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“…Sensing pads by M1 with effective axial-length of 200 μm (inner diameter of 200 μm and outer one of 400 μm) give each quadrant effective sensing area of 7500 μm 2 . Compared to 150 μm effective diameter of the actuating electrode, the effective quadrant area shrinks to 2343.75 μm 2 , almost a quarter of the sensing pad. Finally, the finite calibration electrodes are designed to finetune the large proof-mass mismatch-balancing from the fabrication processes by applying certain electro-static forces respectively.…”
Section: Design Conceptmentioning
confidence: 97%
See 1 more Smart Citation
“…Sensing pads by M1 with effective axial-length of 200 μm (inner diameter of 200 μm and outer one of 400 μm) give each quadrant effective sensing area of 7500 μm 2 . Compared to 150 μm effective diameter of the actuating electrode, the effective quadrant area shrinks to 2343.75 μm 2 , almost a quarter of the sensing pad. Finally, the finite calibration electrodes are designed to finetune the large proof-mass mismatch-balancing from the fabrication processes by applying certain electro-static forces respectively.…”
Section: Design Conceptmentioning
confidence: 97%
“…Traditional CMOS-based inertial sensors have been extensively investigated [1]. However, the efforts to overcome design limitations were focussed on the intelligent composite materials or the process adjusting techniques, and the device performances might be improved [2][3][4]. Application-specific integrated circuits (ASICs) exploiting standard CMOS process and in-house post-processing are popular in MEMS industry, in pursuing higher integration for versatile applications [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…Later on, the combination of strain/gradient smoothing and FEM is named smoothed FEM (SFEM). 54 SFEMs can be classified into different types based on the distinct constructions of SDs, for example, cell-based SFEM (CS-FEM), [58][59][60][61][62][63][64][65][66][67][68][69][70][71][72] node-based SFEM (NS-FEM), [73][74][75][76][77][78][79][80][81] edge-based SFEM (ES-FEM), [82][83][84][85][86][87][88][89] face-based SFEM, [88][89][90][91] 𝛼FEM, [92][93][94] 𝛽FEM, 95,96 and selective SFEM. [97][98][99][100] Different constructions of SDs lead to different extents of softening.…”
Section: Introductionmentioning
confidence: 99%
“…Such models include the high-precision lumped parameter model, 26 finite element method multimode analytical model, 27 unimode cantilever enclosed frequency-varying functional model, 8 disorderly loosely-coupled resonator model, 28 nonlinear model based on Hamilton’s principle 29 and its electromechanical coupling dynamic model, 30 and shearing piezoelectric cantilever electromechanical coupling model. 31 In particular, for nonlinear processes in which different geometric features, material constructions, and damping are considered, the strain gradient theory, 32 Timoshenko model, 33,34 and Hamiltonian principle 35,36 are effective in analyzing free vibration, bending, and electric potential effects, 37,38 thermal effects, 39 humidity, 40 and multiphysics loads 41 on sandwich transducers. Further, under varying geometric features, 42 material composition, 43 and additional damping, 44 studies on the nonlinear motion processes have demonstrated the effectiveness of this method.…”
Section: Introductionmentioning
confidence: 99%