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finite element analysis fea simulations  (Abaqus Inc)

 
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    Abaqus Inc finite element analysis fea simulations
    Finite Element Analysis Fea Simulations, supplied by Abaqus Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fea+simulation/abaqus+element+finite+software/us12624478-682-18-30
    Average 86 stars, based on 1 article reviews
    finite element analysis fea simulations - by Bioz Stars, 2026-10
    86/100 stars

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    other:

    Article Title: Mathematical Modeling and Finite Element Analysis of Wire Electro-Discharge Machining of Ceramic Particulate Reinforced Metal Matrix Composite Material
    Article Snippet: Co-ordinates of these reinforced particles are extracted for FEA simulation in ABAQUS software tool.

    Article Title: Experimental, numerical, and DIC analysis of high-performance VPP composites with multilayer glass fiber reinforcement.
    Article Snippet: In the FEA simulation using Abaqus, the average ultimate tensile strength (UTS) was obtained for each layer.

    Article Title: Numerical Analysis of Sectional Shape Effect on Behavior of Short Concrete Columns
    Article Snippet: It is meaningful to mention that all columns are simulated by Abaqus similarly to all parameters.

    Article Title: Multistable thin-shell metastructures for multiresponsive reconfigurable metabots.
    Article Snippet: In Fig. 2B, the FEA simulation of the thin- shell structure was conducted using Abaqus/Explicit.

    Battery:

    Article Title: Pressure effects on lithium anode/nickel-manganese-cobalt oxide cathode pouch cells through fixture design
    Article Snippet: .. Anode stress, modeled in an implicit FEA simulation (ABAQUS), was spatially resolved depending on the interfacing material to the battery as well as the amount of pressure applied ( ) with mechanical properties of materials implemented (see ). ..

    Software:

    Article Title: Degradation Mechanisms and Service Life Prediction of High-Performance Rubber Seals for Near-Space Unmanned Platforms
    Article Snippet: .. Tensile strength calculated via Equation (3). ur = 0.02% • FEA Simulation: ABAQUS (2022) software. ..

    Article Title: Self-healable, recyclable, and reconfigurable wearable electronics device
    Article Snippet: .. FEA Simulation To investigate the mechanical performance of the multifunctional wearable electronics, finite element analysis (FEA) was conducted using a commercial software package ABAQUS. ..

    Article Title: Programmable magnetic hydrogel robots with drug delivery and physiological sensing capabilities
    Article Snippet: .. For FEA simulation, commercial software (ABAQUS) was used to calculate the energy release rate of the hydrogel-elastomer hybrid. ..



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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 <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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    Image Search Results


    ( 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