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Journal articles on the topic 'Multiphysics model'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Poletz, N., A. François, and K. Hillewaert. "Multiphysics welding simulation model." International Journal of Material Forming 1, S1 (2008): 1047–50. http://dx.doi.org/10.1007/s12289-008-0198-6.

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2

OCILKA, Matúš, and Dobroslav KOVÁČ. "SIMULATION MODEL OF INDUCTION HEATING IN COMSOL MULTIPHYSICS." Acta Electrotechnica et Informatica 15, no. 1 (2015): 29–33. http://dx.doi.org/10.15546/aeei-2015-0005.

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3

Liu, Zhen, Bin Zhang, and Xiong Bill Yu. "Multiphysics for Early Stage Cement Hydration: Theoretical Framework." Advanced Materials Research 255-260 (May 2011): 4247–50. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.4247.

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The chemical hydration involves complex multiphysical processes including mass and energy transfer, chemical reactions and consequently stress development and shrinkage. This paper proposed a multiphysics numerical model to predict the kinetics cement paste. The chemical reaction theory, heat transfer theory, diffusion theory, and continuum mechanics were coupled in the theoretical model. A comprehensive theoretical model is established with partial different equation system, auxiliary functions, and typical boundary conditions.

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4

Yan, Shuxia, Yaoqian Zhang, Wenyuan Liu, Gaohua Liu, and Weiguang Shi. "A Novel Electromagnetic Centric Multiphysics Parametric Modeling Approach Using Neuro-Space Mapping for Microwave Passive Components." Photonics 9, no. 12 (2022): 960. http://dx.doi.org/10.3390/photonics9120960.

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An advanced Neuro-space mapping (Neuro-SM) multiphysics parametric modeling approach for microwave passive components is proposed in this paper. The electromagnetic (EM) domain model, which represents the EM responses with respect to geometrical parameters, is regarded as a coarse model. The multiphysics domain model, which represents the multiphysics responses with respect to both geometrical parameters and multiphysics parameters, is regarded as a fine model. The proposed model is constructed by the input mapping, the output mapping and the coarse model. The input mapping is used to map mult

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5

Lin, Yihao, Yang Qin, Bilin Gong, et al. "Analysis of the Parallel Seam Welding Process by Developing a Directly Coupled Multiphysics Simulation Model." Processes 12, no. 1 (2023): 78. http://dx.doi.org/10.3390/pr12010078.

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Parallel seam welding (PSW) is the most commonly employed encapsulation technology to ensure hermetic sealing and to safeguard sensitive electronic components. However, the PSW process is complicated by the presence of multiphysical phenomena and nonlinear contact problems, making the analysis of the dynamics of the PSW process highly challenging. This paper proposes a multiphysics simulation model based on direct coupling, enabling the concurrent coupling of the electric field, temperature field, and structural field to facilitate the analysis of the thermal and electrical dynamics within the

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Szczerba, Dominik, Bryn A. Lloyd, Michael Bajka, and Gabor Szekely. "A Multiphysics Model of Myoma Growth." International Journal for Multiscale Computational Engineering 7, no. 1 (2009): 17–27. http://dx.doi.org/10.1615/intjmultcompeng.v7.i1.40.

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7

Shengyi Liu and R. A. Dougal. "Dynamic multiphysics model for solar array." IEEE Transactions on Energy Conversion 17, no. 2 (2002): 285–94. http://dx.doi.org/10.1109/tec.2002.1009482.

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8

Wang, Tian, Ping Xi, and Bifu Hu. "Multiphysics Modeling of Gas Turbine Based on CADSS Technology." Shock and Vibration 2020 (October 19, 2020): 1–21. http://dx.doi.org/10.1155/2020/8816453.

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Product modeling has been applied in product engineering with success for geometric representation. With the application of multidisciplinary analysis, application-driven models need specific knowledge and time-consuming adjustment work based on the geometric model. This paper proposes a novel modeling technology named computer-aided design-supporting-simulation (CADSS) to generate multiphysics domain models to support multidisciplinary design optimization processes. Multiphysics model representation was analyzed to verify gaps among different domain models’ parameters. Therefore, multiphysics

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9

Wang, Wei, Zhouquan Luo, Yaguang Qin, Jun Xiang, Lei Wen, and Shaowei Ma. "Multiphysics Coupling Model of Rock Mass considering Damage and Disturbance and Its Application." Advances in Civil Engineering 2018 (September 12, 2018): 1–9. http://dx.doi.org/10.1155/2018/3067120.

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Aiming at the deficiency of the conventional multiphysics coupling model, the deterioration of strength parameters was considered by defining elastoplastic damage variables, and the heterogeneity of strength parameters was expressed by the Weibull distribution function. In addition, the relation between effective stress and the anisotropic permeability matrix was established, and the blast was transformed into a load boundary condition. On this basis, an improved multiphysics coupling model that considered damage and disturbance was constructed, while a corresponding finite element calculation

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10

Fan, Zhongcai, Ruiyu Zhang, Yuqing Wang, and Yabin Wang. "Performance Prediction of Solid Oxide Fuel Cells Based on a Neutral Network Model." ECS Meeting Abstracts MA2023-01, no. 54 (2023): 81. http://dx.doi.org/10.1149/ma2023-015481mtgabs.

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Predicting various parameters in a fast and accurate way plays an important role for the development of high-temperature sealed reactors such as the solid oxide fuel cells (SOFCs). However, the analysis of SOFC performance parameters mainly focuses on the development of multiphysics models, which is complicated and slow, causing inefficiency in the prediction of key parameters. In our study, a neural network prediction model of SOFCs was developed in combination with the deep learning method. The neural network model was trained by using the results from a multiphysics model validated by exper

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11

Subramanian, Abhinav, and Sankaran Mahadevan. "Model Error Propagation in Coupled Multiphysics Systems." AIAA Journal 58, no. 5 (2020): 2236–45. http://dx.doi.org/10.2514/1.j058496.

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12

Jonghwan Lee, D. A. Boas, and Sung June Kim. "Multiphysics Neuron Model for Cellular Volume Dynamics." IEEE Transactions on Biomedical Engineering 58, no. 10 (2011): 3000–3003. http://dx.doi.org/10.1109/tbme.2011.2159217.

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13

Quindlen, Julia C., Henryk K. Stolarski, Matthew D. Johnson, and Victor H. Barocas. "A multiphysics model of the Pacinian corpuscle." Integrative Biology 8, no. 11 (2016): 1111–25. http://dx.doi.org/10.1039/c6ib00157b.

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14

Kaymak, Yalçın, Hauke Bartusch, Thorsten Hauck, Jörg Mernitz, Harald Rausch, and Rongshan Lin. "Multiphysics Model of the Hearth Lining State." steel research international 91, no. 11 (2020): 2000055. http://dx.doi.org/10.1002/srin.202000055.

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15

Vukasin, Julien, Isabelle Crassous, Bertrand Morel, and José Sanchez-Marcano. "Multiphysics Model of a Fluorine Electrolysis Cell." Chemical Engineering & Technology 40, no. 5 (2017): 854–61. http://dx.doi.org/10.1002/ceat.201600591.

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16

Shoev, M.A, S.A Rakhmankulov, A.Sh Qosimov, and Bayat Mandana. "NUMERICAL STUDY OF TURBULENT SEPARATED FLOWS IN AXISYMMETRIC DIFFUSERS BASED ON A TWO-FLUID TURBULENCE MODEL." Multidisciplinary Journal of Science and Technology 4, no. 6 (2024): 240–47. https://doi.org/10.5281/zenodo.11664910.

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This paper discusses a numerical study of turbulent flow at Re = 1.56×10<sup>4</sup> in an axisymmetric diffuser with half-angle expansion α=14°, 18° и 90°. The results obtained are compared with known experimental data. The flow at the diffuser inlet is fully developed turbulent. To simulate the flow, a relatively recently developed two-fluid turbulence model in the Comsol Multiphysics software package was used. The paper also presents numerical results of the well-known SST and SA turbulence models, which are included in the Comsol Multiphysics software package. It is

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17

Zaporozhets, Yu, A. Ivanov, Yu Kondratenko, V. Tsurkin, and N. Batechko. "Innovative System of Computer Modelling of Multiphysics Processes for Controlled Electrocurrent Treatment of Melts." Science and Innovation 18, no. 4 (2022): 85–105. http://dx.doi.org/10.15407/scine18.04.085.

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Introduction. The widespread use of cast products made of aluminum and its alloys requires ensuring a highquality structure of the castings, on which their operational properties depend. Controlling the process of forming a high-quality structure of castings is possible, in particular, by the method of electrocurrent treatment of melts.Problem Statement. The melt medium being inaccessible for direct measurement of the processing parameters, the only way to realize the control of treatment conditions is numerical simulation of these parameters. However, the complexity and interdependence of mul

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18

Sert, Senol, and Ergun Nart. "Enhancing Precision in Arc Welding Simulations: A Comprehensive Study of the Ellipsoidal Heat Source Model." Machines 13, no. 4 (2025): 337. https://doi.org/10.3390/machines13040337.

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Arc welding is a complex multiphysics mitigation process, and the related finite element simulation requires significant computational resources for multiphysics modeling to determine the temperature distributions in engineering problems accurately. Engineers and researchers aim to achieve reliable results from finite element analysis while minimizing computational costs. This research extensively studies the application of conventional ellipsoidal heat source formulation to obtain improved temperature distribution during arc welding for practical applications. The ellipsoidal heat source mode

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19

Baek, Myung-Ki, and Ho-Young Lee. "Finite Element Analysis and Electrohydrodynamic Multiphysics Modeling of a Corona-Streamer Discharge in a Two-Phase Flow Medium." Energies 18, no. 3 (2025): 680. https://doi.org/10.3390/en18030680.

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This study proposes an electrohydrodynamic multiphysics modeling and finite element analysis technique to accurately simulate corona-streamer discharges in a two-phase flow medium. The discharge phenomenon is modeled as a multiphysics system, coupling the Poisson equation for the electric field with a charge dynamics model based on fluid methods and a thermofluid field for temperature effects. To optimize the numerical simulation, the tip-flat plate electrode model was simplified to two-dimensional axisymmetry, and an unordered lattice network was used to reduce computational time while mainta

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20

Yuan, Chengdong, Siyang Hu, and Tamara Bechtold. "Stable compact modeling of piezoelectric energy harvester devices." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, no. 2 (2020): 467–80. http://dx.doi.org/10.1108/compel-07-2019-0305.

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Purpose Based on the framework of Krylov subspace-based model order reduction (MOR), compact models of the piezoelectric energy harvester devices can be generated. However, the stability of reduced piezoelectric model often cannot be preserved. In previous research studies, “MOR after Schur,” “Schur after MOR” and “multiphysics structure preserving MOR” methods have proven successful in obtaining stable reduced piezoelectric energy harvester models. Though the stability preservation of “MOR after Schur” and “Schur after MOR” methods has already been mathematically proven, the “multiphysics str

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21

Alexiadis, Alessio. "Deep Multiphysics and Particle–Neuron Duality: A Computational Framework Coupling (Discrete) Multiphysics and Deep Learning." Applied Sciences 9, no. 24 (2019): 5369. http://dx.doi.org/10.3390/app9245369.

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There are two common ways of coupling first-principles modelling and machine learning. In one case, data are transferred from the machine-learning algorithm to the first-principles model; in the other, from the first-principles model to the machine-learning algorithm. In both cases, the coupling is in series: the two components remain distinct, and data generated by one model are subsequently fed into the other. Several modelling problems, however, require in-parallel coupling, where the first-principle model and the machine-learning algorithm work together at the same time rather than one aft

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22

Yuan, Zheng, Tao Jiang, Jacob Fish, and Greg Morscher. "REDUCED-ORDER MULTISCALE-MULTIPHYSICS MODEL FOR HETEROGENEOUS MATERIALS." International Journal for Multiscale Computational Engineering 12, no. 1 (2014): 45–64. http://dx.doi.org/10.1615/intjmultcompeng.2013007162.

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23

Gullino, Alberto, Alberto Tibaldi, Francesco Bertazzi, Michele Goano, and Pierluigi Debernardi. "Reduced Dimensionality Multiphysics Model for Efficient VCSEL Optimization." Applied Sciences 11, no. 15 (2021): 6908. http://dx.doi.org/10.3390/app11156908.

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The ICT scene is dominated by short-range intra-datacenter interconnects and networking, requiring high speed and stable operations at high temperatures. GaAs/AlGaAs vertical-cavity surface-emitting lasers (VCSELs) emitting at 850–980 nm have arisen as the main actors in this framework. Starting from our in-house 3D fully comprehensive VCSEL solver VENUS, in this work we present the possibility of downscaling the dimensionality of the simulation, ending up with a multiphysics 1D solver (D1ANA), which is shown to be capable of reproducing the experimental data very well. D1ANA is then extensive

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24

El Haber, George, Jonathan Viquerat, Aurelien Larcher, et al. "Deep learning model to assist multiphysics conjugate problems." Physics of Fluids 34, no. 1 (2022): 015131. http://dx.doi.org/10.1063/5.0077723.

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25

Blanc, Xavier, Claude Le Bris, Frédéric Legoll, and Tony Lelièvre. "Beyond multiscale and multiphysics: Multimaths for model coupling." Networks & Heterogeneous Media 5, no. 3 (2010): 423–60. http://dx.doi.org/10.3934/nhm.2010.5.423.

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26

Chui, Ting Fong May, and David L. Freyberg. "Implementing Hydrologic Boundary Conditions in a Multiphysics Model." Journal of Hydrologic Engineering 14, no. 12 (2009): 1374–77. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000113.

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27

Chen, Hui, and Wenbin Yu. "A multiphysics model for magneto-electro-elastic laminates." European Journal of Mechanics - A/Solids 47 (September 2014): 23–44. http://dx.doi.org/10.1016/j.euromechsol.2014.02.004.

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28

Ge, Zhihao, and Mengxia Ma. "Multiphysics discontinuous Galerkin method for a poroelasticity model." Applied Mathematics and Computation 301 (May 2017): 78–94. http://dx.doi.org/10.1016/j.amc.2016.12.012.

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29

Kumar, Sawan, and Arka Lahiri. "A mesoscale multiphysics model of field-assisted sintering." Journal of the European Ceramic Society 45, no. 14 (2025): 117557. https://doi.org/10.1016/j.jeurceramsoc.2025.117557.

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30

Kholboev, Bokhodir, Zafar M. Malikov, Murodil E. Madaliev, Mardon Shoev, and Sirojiddin Masharipov. "Numerical study of turbulent separated flows in axisymmetric diffusers based on a two-fluid model." International Journal of Applied Mechanics and Engineering 29, no. 4 (2024): 121–42. https://doi.org/10.59441/ijame/191629.

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This paper discusses a numerical study of turbulent flow at Re = 1.56×104 in an axisymmetric diffuser with half-angle expansion α=14°, 18° и 90°. The results obtained are compared with known experimental data. The flow at the diffuser inlet is fully developed turbulent. To simulate the flow, a relatively recently developed two-fluid turbulence model in the Comsol Multiphysics software package was used. The paper also presents numerical results of the well-known SST and SA turbulence models, which are included in the Comsol Multiphysics software package. It is shown that the two-fluid turbulenc

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31

Zheng, Yuansheng, Binjie Xin, and Masha Li. "Model development and validation of electrospun jet formation." Textile Research Journal 89, no. 11 (2018): 2177–86. http://dx.doi.org/10.1177/0040517518786280.

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The Taylor cone formed at the tip of the syringe used for delivering the solution plays an important role in jet formation. This study presents a novel multiphysics model to simulate the dynamic processes occurring within the cone jet from a flat spinneret and a single needle spinneret. The electric field, volume fraction and velocity magnitude of the polymer jet ejecting from two different kinds of spinnerets are calculated by the multiphysics simulation model. A high-speed camera is employed to capture the jet formed by the Taylor cone. The simulation results are validated by comparison with

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32

Kenzhebekov, D. M., А. Е. Khussanov, I. Iristaev, А. Zholshybek, and D. Janabayev. "GENERATION AND CONFIGURATIONOF A HEAT EXCHANGER MODEL GRID FOR CFD MODELING IN COMSOL MULTIPHYSICS." Mechanics and Technologies, no. 1 (March 30, 2025): 279–85. https://doi.org/10.55956/ptul4611.

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The stages of creating a three-dimensional computational domain and generating a grid model for CFD modeling of flow hydrodynamics in a pipe-in-pipe heat exchanger are considered in detail. The sequence of actions for grid generation in COMSOL multiphysics is described. A description is given of the method of thickening the grid by dissecting the volume with a surface and constructing grids with the required interval in each of the resulting connected volumes. A model grid with triangular and square elements was used for the heat exchange model. The construction and adjustment of the model gri

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33

Nell, Martin, Alexander Kubin, and Kay Hameyer. "Approach for the Model and Parameter Selection for the Calculation of Induction Machines." Energies 14, no. 18 (2021): 5623. http://dx.doi.org/10.3390/en14185623.

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The solution of multiphysical problems in the field of electrical machines is a complex task that involves the modeling of a wide variety of coupled physical domains. Different types of models and solution methods can be used to model and solve the individual domains. In this paper a procedure for the methodical selection of the most suitable model for a given multiphysics task is presented. Furthermore, an approach for the selection of the most suitable variable machine parameters for a design optimization is presented. The model selection is presented on the basis of the electromagnetic calc

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34

Ibrokhimov, Abdulfatto, Khikmatilla Djumaev, Bakhtigul Artikova, and Farkhod Abdukadirov. "Numerical study of particle motion in a two-dimensional channel with complex geometry." BIO Web of Conferences 84 (2024): 05037. http://dx.doi.org/10.1051/bioconf/20248405037.

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The article presents a study of the SST turbulence model in the Comsol Multiphysics software package for the problem of a two-dimensional channel with complex geometry. In this work, the finite element method is used for the numerical implementation of the turbulence equations. The implementation of the Comsol Multiphysics 6.1 software package showed good convergence, stability and high accuracy of the SST turbulence model.

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35

Cervi, Eric, Xuefei Lu, Antonio Cammi, Francesco Di Maio, and Enrico Zio. "Sensitivity-Analysis-Driven Surrogate Model for Molten Salt Reactors Control." Journal of Nuclear Engineering 3, no. 4 (2022): 277–94. http://dx.doi.org/10.3390/jne3040016.

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The numerical analysis for the controllability assessment of a new design nuclear reactor is typically carried out by means of complex multiphysics codes, solving high fidelity partial differential equations governing the system neutronics as well as the fluid dynamics. Multiphysics codes deliver very accurate solutions at the expense of high computational times, which could be of several hours depending on the specific case study. In this work, to efficiently reduce runtimes, a sensitivity analysis (SA) is carried out to identify the most important input parameters affecting the solution of a

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36

Zhang, Linan, Sung Youb Kim, and Dongchoul Kim. "Multiphysics and Multiscale Analysis for Chemotherapeutic Drug." BioMed Research International 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/493985.

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This paper presents a three-dimensional dynamic model for the chemotherapy design based on a multiphysics and multiscale approach. The model incorporates cancer cells, matrix degrading enzymes (MDEs) secreted by cancer cells, degrading extracellular matrix (ECM), and chemotherapeutic drug. Multiple mechanisms related to each component possible in chemotherapy are systematically integrated for high reliability of computational analysis of chemotherapy. Moreover, the fidelity of the estimated efficacy of chemotherapy is enhanced by atomic information associated with the diffusion characteristics

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37

Sirotkin, Vyacheslav V., Dmitriy A. Pigalev, Ivan V. Bol'shikh, and Semyon S. Chernyaev. "Application of specialized software for calculation of magnetic field in the turns of switched reluctance motors stator windings." Modern Transportation Systems and Technologies 8, no. 4 (2022): 58–73. http://dx.doi.org/10.17816/transsyst20228458-73.

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Background: The article describes the process of occurrence of additional losses in the extreme turns of the copper stator windings, based on physical laws. The causes of the skin effect in the stator windings of a switched reluctance motor (SRM) are presented, an assessment of the skin effect influence degree on additional losses in the SRM of medium and high power. 2D-model of the SRM sector in COMSOL Multiphysics software package is created to specify distribution of magnetic field in the SRM stator windings and to quantify the amount of additional losses. А comparison of the magnetic field

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38

Vich, M., and R. Romero. "Multiphysics superensemble forecast applied to Mediterranean heavy precipitation situations." Natural Hazards and Earth System Sciences 10, no. 11 (2010): 2371–77. http://dx.doi.org/10.5194/nhess-10-2371-2010.

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Abstract. The high-impact precipitation events that regularly affect the western Mediterranean coastal regions are still difficult to predict with the current prediction systems. Bearing this in mind, this paper focuses on the superensemble technique applied to the precipitation field. Encouraged by the skill shown by a previous multiphysics ensemble prediction system applied to western Mediterranean precipitation events, the superensemble is fed with this ensemble. The training phase of the superensemble contributes to the actual forecast with weights obtained by comparing the past performanc

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39

Monismith, Scott, Scott A. Roberts, Wanjiao Liu, and Jeffrey Scott Horner. "Multiphysics Simulation of Battery Electrode Drying." ECS Meeting Abstracts MA2024-01, no. 4 (2024): 690. http://dx.doi.org/10.1149/ma2024-014690mtgabs.

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Scaling Li-ion battery production to meet the demands of increasingly electrified grids and transportation systems will require higher throughput at all levels of the battery cell production process. One of the more energy intensive battery manufacturing steps is the necessary drying of solvents which persist in the electrodes after the initial slurry coating of their current collectors. It is critical to both optimize this drying process to minimize the time and resources required, as well as to understand the effect that the drying has on the electrode microstructure. As it is both expensive

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40

Dobkevicius, Mantas, and Davar Feili. "Multiphysics Model for Radio-Frequency Gridded Ion Thruster Performance." Journal of Propulsion and Power 33, no. 4 (2017): 939–53. http://dx.doi.org/10.2514/1.b36182.

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41

Hu, Kewei, Jiakun Fang, Xiaomeng Ai, et al. "Grid-Oriented multiphysics model of Power-to-Hydrogen electrolyzers." Energy Conversion and Management 270 (October 2022): 116264. http://dx.doi.org/10.1016/j.enconman.2022.116264.

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42

Obaidurrahman, K., and Avinash Gaikwad. "Towards an efficient multiphysics model for nuclear reactor dynamics." Nuclear Technology and Radiation Protection 30, no. 3 (2015): 165–74. http://dx.doi.org/10.2298/ntrp1503165o.

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43

Cibelli, Antonio, Roman Wan-Wendner, Giovanni Di Luzio, and Emidio Nigro. "Multiphysics-Lattice Discrete Particle Model: possible strategies for upscaling." Procedia Structural Integrity 64 (2024): 183–90. http://dx.doi.org/10.1016/j.prostr.2024.09.228.

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44

Koric, Seid, Lance C. Hibbeler, Rui Liu, and Brian G. Thomas. "Multiphysics Model of Metal Solidification on the Continuum Level." Numerical Heat Transfer, Part B: Fundamentals 58, no. 6 (2010): 371–92. http://dx.doi.org/10.1080/10407790.2011.540954.

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45

Cui, Liang, and Mamadou Fall. "Multiphysics Model for Consolidation Behavior of Cemented Paste Backfill." International Journal of Geomechanics 17, no. 3 (2017): 04016077. http://dx.doi.org/10.1061/(asce)gm.1943-5622.0000743.

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46

Kubík, M., and J. Goldasz. "Multiphysics Model of an MR Damper including Magnetic Hysteresis." Shock and Vibration 2019 (June 26, 2019): 1–20. http://dx.doi.org/10.1155/2019/3246915.

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Hysteresis is one of key factors influencing the output of magnetorheological (MR) actuators. The actuators reveal two primary sources of hysteresis. The hydro(mechanical) hysteresis can be related to flow dynamics mechanisms and is frequency- or rate-dependent. For comparison, the magnetic hysteresis is an inherent property of ferromagnetic materials forming the magnetic circuit of the actuators. The need for a good quality hysteresis model has been early recognized in studies on MR actuators; however, few studies have provided models which could be used in the design stage. In the paper we r

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47

KOBAYASHI, Junya, Satoshi II, Naoki TAKEISHI, and Shigeo WADA. "Development of multiphysics model for oxygen transport in microcirculation." Proceedings of The Computational Mechanics Conference 2017.30 (2017): 069. http://dx.doi.org/10.1299/jsmecmd.2017.30.069.

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48

Wang, Tong, Shanxiang Mao, Yifan Zhang, Junru Chen, Chenchen Ge, and Hua Zheng. "A generic lithium-ion battery integration model considering multiphysics." Journal of Physics: Conference Series 2351, no. 1 (2022): 012023. http://dx.doi.org/10.1088/1742-6596/2351/1/012023.

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Battery is widely suggested as a reservoir to fasten the power balance between supply and demand. Amongst a variety of batteries, lithium-ion battery technology is the most promoted. However, most of the battery models in the power system simulation are assumed that the battery has a fixed electrical performance, while in reality, this is related to various factors, such as temperature and aging. In order to precisely model the battery, this paper proposes an easy-to-use lithium battery model considering multiphysics, including electrodynamic field, thermodynamic field, and lifetime field. The

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Jothi, S., T. N. Croft, and S. G. R. Brown. "Multiscale multiphysics model for hydrogen embrittlement in polycrystalline nickel." Journal of Alloys and Compounds 645 (October 2015): S500—S504. http://dx.doi.org/10.1016/j.jallcom.2014.12.073.

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Martinho, Diogo Loureiro, Torsten Berning, Mohammadmahdi Abdollahzadehsangroudi, Anders Rønne Rasmussen, Jakob Hærvig, and Samuel Simon Araya. "A Three-Dimensional, Multiphysics Model of An Alkaline Electrolyzer." ECS Transactions 112, no. 4 (2023): 433–47. http://dx.doi.org/10.1149/11204.0433ecst.

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Abstract:

As the most mature technology within the electrolysis field, alkaline electrolyzers are expected to play an important role in the energetic transition. Advantages as their simplicity, modularity and low-cost components make it an interesting technology for the near future. However, the fundamental physics are complex as it includes multicomponent, multiphase flow, porous media, electrochemistry and heat transfer. To have a better understanding of these phenomena, the presented work is devoted to the development of a computational fluid dynamic model to better understand the behavior of all the

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