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COMSOL Inc fea simulation
Fea Simulation, supplied by COMSOL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/fea+simulation/fea+simulation/us09041492-272-9-12
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Article Title: Stretchable, hair-compatible, and long-term stable wearable EEG system
Article Snippet: Conical electrodes’ FEA simulations were conducted using COMSOL Multiphysics to evaluate the mechanical performance of porous and non-porous elastic 3D-printed electrode molds under compression.

Article Title: Interference haptic stimulation and consistent quantitative tactility in transparent electrotactile screen with pressure-sensitive transistors
Article Snippet: The FEA simulation through the COMSOL Multiphysics program 716 of Fig. S19.

Article Title: Materials Characterization of Stereolithography 3D Printed Polymer to Develop a Self-Driven Microfluidic Device for Bioanalytical Applications.
Article Snippet: Similarly, the FEA COMSOL simulation demonstrated a velocity of 0.63 mm/s (Figure 8b).

Article Title: Machine learning models based on FEM simulation of hoop mode vibrations to enable ultrasonic cuffless measurement of blood pressure.
Article Snippet: Blood pressure (BP) is one of the vital physiological parameters, and its measurement is done routinely for almost all patients who visit hospitals.. Cuffless BP measurement has been of great research interest over the last few years.. In this paper, we aim to establish a method for cuffless measurement of BP using ultrasound.

Article Title: Interference haptic stimulation and consistent quantitative tactility in transparent electrotactile screen with pressure-sensitive transistors
Article Snippet: The FEA simulation through the COMSOL Multiphysics program 724 of Fig. S29 when electrode distance is 4 mm.

Article Title: Designing gram-scale resonators for precision inertial sensors
Article Snippet: The effects of the inner radius on the stress distribution were studied by using FEA simulation in COMSOL.


Software:

Article Title: Development of Electrostatic Dual-Carbon-Fiber Microgrippers for Precise 2D Patterning and 3D Stacking of Single Microparticles.
Article Snippet: This study presents the development of electrostatic dual-carbon-fiber (CF) microgrippers for the precise manipulation of single SiO2 microparticles (diameters >3 μm) at low operating voltages of 5 to 15 V. Theoretical calculations and finite element analysis (FEA) simulations demonstrate that the microgrippers utilize a non-uniform electric field generated by dual CF electrodes to create a dielectrophoresis force for the pick-and-place manipulation of microparticle.. After the removal of dielectrophoresis force by turning off the voltage, particle release is facilitated by van der Waals forces from the substrate surface.. This approach eliminates the need for additional corona discharge fields or vibrational separators for particle release, ensuring accurate 2D patterning and 3D stacking of SiO2 microparticles.



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( A <t>)</t> <t>3D-FEA</t> stress distribution maps of the peel adhesion behavior between the PCA@FeCO flat/MN patch and the mucosal tissue. ( B ) The peel, tensile, and shear adhesive strengths of PCA@FeCO flat and PCA@FeCO MN. Data are presented as means ± SD ( n = 4). ( C ) Schematic illustration of MN taper. ( D ) Stress distribution maps of the mucosal tissue from 3D-FEA of the peel adhesion behavior between PCA@FeCO MNs with different tapers and the mucosa. ( E ) Peak stress in the mucosa induced by PCA@FeCO MN with different tapers in the 3D-FEA model. ( F ) Peak stress of PCA@FeCO MN with different tapers in the 3D-FEA model. ( G ) Compression performance test of PCA@FeCO MN with different tapers. ( H ) Morphology and composition of 30°-PCA@FeCO MNs: Photograph, magnified view, SEM image, and EDS analysis. Among them, photograph and magnified view are the same as those in fig. S4. ( I ) Cross-sectional fluorescence images demonstrating the distribution of rhodamine B–labeled PCA@FeCO MN in mucosa after 10 min. ( J ) Robust adhesion of PCA@FeCO MN to the buccal mucosa, palatal mucosa, gingiva, and tongue of a rat.
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( A <t>)</t> <t>3D-FEA</t> stress distribution maps of the peel adhesion behavior between the PCA@FeCO flat/MN patch and the mucosal tissue. ( B ) The peel, tensile, and shear adhesive strengths of PCA@FeCO flat and PCA@FeCO MN. Data are presented as means ± SD ( n = 4). ( C ) Schematic illustration of MN taper. ( D ) Stress distribution maps of the mucosal tissue from 3D-FEA of the peel adhesion behavior between PCA@FeCO MNs with different tapers and the mucosa. ( E ) Peak stress in the mucosa induced by PCA@FeCO MN with different tapers in the 3D-FEA model. ( F ) Peak stress of PCA@FeCO MN with different tapers in the 3D-FEA model. ( G ) Compression performance test of PCA@FeCO MN with different tapers. ( H ) Morphology and composition of 30°-PCA@FeCO MNs: Photograph, magnified view, SEM image, and EDS analysis. Among them, photograph and magnified view are the same as those in fig. S4. ( I ) Cross-sectional fluorescence images demonstrating the distribution of rhodamine B–labeled PCA@FeCO MN in mucosa after 10 min. ( J ) Robust adhesion of PCA@FeCO MN to the buccal mucosa, palatal mucosa, gingiva, and tongue of a rat.
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( A ) 3D-FEA stress distribution maps of the peel adhesion behavior between the PCA@FeCO flat/MN patch and the mucosal tissue. ( B ) The peel, tensile, and shear adhesive strengths of PCA@FeCO flat and PCA@FeCO MN. Data are presented as means ± SD ( n = 4). ( C ) Schematic illustration of MN taper. ( D ) Stress distribution maps of the mucosal tissue from 3D-FEA of the peel adhesion behavior between PCA@FeCO MNs with different tapers and the mucosa. ( E ) Peak stress in the mucosa induced by PCA@FeCO MN with different tapers in the 3D-FEA model. ( F ) Peak stress of PCA@FeCO MN with different tapers in the 3D-FEA model. ( G ) Compression performance test of PCA@FeCO MN with different tapers. ( H ) Morphology and composition of 30°-PCA@FeCO MNs: Photograph, magnified view, SEM image, and EDS analysis. Among them, photograph and magnified view are the same as those in fig. S4. ( I ) Cross-sectional fluorescence images demonstrating the distribution of rhodamine B–labeled PCA@FeCO MN in mucosa after 10 min. ( J ) Robust adhesion of PCA@FeCO MN to the buccal mucosa, palatal mucosa, gingiva, and tongue of a rat.

Journal: Science Advances

Article Title: A robust adhesive microneedle for oral infections therapy via synergistic antibacterial and neutrophil-macrophage axis immunomodulation

doi: 10.1126/sciadv.aee4401

Figure Lengend Snippet: ( A ) 3D-FEA stress distribution maps of the peel adhesion behavior between the PCA@FeCO flat/MN patch and the mucosal tissue. ( B ) The peel, tensile, and shear adhesive strengths of PCA@FeCO flat and PCA@FeCO MN. Data are presented as means ± SD ( n = 4). ( C ) Schematic illustration of MN taper. ( D ) Stress distribution maps of the mucosal tissue from 3D-FEA of the peel adhesion behavior between PCA@FeCO MNs with different tapers and the mucosa. ( E ) Peak stress in the mucosa induced by PCA@FeCO MN with different tapers in the 3D-FEA model. ( F ) Peak stress of PCA@FeCO MN with different tapers in the 3D-FEA model. ( G ) Compression performance test of PCA@FeCO MN with different tapers. ( H ) Morphology and composition of 30°-PCA@FeCO MNs: Photograph, magnified view, SEM image, and EDS analysis. Among them, photograph and magnified view are the same as those in fig. S4. ( I ) Cross-sectional fluorescence images demonstrating the distribution of rhodamine B–labeled PCA@FeCO MN in mucosa after 10 min. ( J ) Robust adhesion of PCA@FeCO MN to the buccal mucosa, palatal mucosa, gingiva, and tongue of a rat.

Article Snippet: A 3D-FEA simulation was conducted in the ABAQUS software.

Techniques: Shear, Adhesive, Fluorescence, Labeling