Articoli di riviste: "Multiphysics design"

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SONG, Shaoyun. "Collaborative design of multiphysics problems". Chinese Journal of Mechanical Engineering (English Edition) 20, n. 03 (2007): 105. http://dx.doi.org/10.3901/cjme.2007.03.105.

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Vaidya, A., S. H. Yu, J. St. Ville, D. T. Nguyen e S. D. Rajan. "Multiphysics CAD-Based Design Optimization". Mechanics Based Design of Structures and Machines 34, n. 2 (luglio 2006): 157–80. http://dx.doi.org/10.1080/15397730600745807.

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Luo, Xue, Robert L. Lytton, Yuqing Zhang, Fan Gu, Jinchang Wang e Qiang Tang. "Pavement Analysis and Design by Multiphysics". Advances in Civil Engineering 2019 (28 febbraio 2019): 1–2. http://dx.doi.org/10.1155/2019/3024138.

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V R Nandigana, Vishal. "Deep Learning and Generative, Interactive Design for Multiphase Multiphysics Technologies". International Journal of Science and Research (IJSR) 10, n. 5 (27 maggio 2021): 673–75. https://doi.org/10.21275/sr21516140813.

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Wang, Tian, Ping Xi e Bifu Hu. "Multiphysics Modeling of Gas Turbine Based on CADSS Technology". Shock and Vibration 2020 (19 ottobre 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 domain model architecture was integrated by optimization model, design model, and simulation model in consideration of domain model’s parameters. Besides, CADSS uses requirement space, domain knowledge, and software technology to describe the multidisciplinary model’s parameters and its transition. Depending on the domain requirements, the CADSS system extracts the required knowledge by decomposing product functions and then embeds the domain knowledge into functional features using software technology. This research aims to effectively complete the design cycle and improve the design quality by providing a consistent and concurrent modeling environment to generate an adaptable model for multiphysics simulation. This system is demonstrated by modeling turbine blade design with multiphysics simulations including computational fluid dynamics (CFD), conjugate heat transfer (CHT), and finite element analysis (FEA). Moreover, the blade multiphysics simulation model is validated by the optimization design of the film hole. The results show that the high-fidelity multiphysics simulation model generated through CADSS can be adapted to subsequent simulations.

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Youchison, Dennis L., e Michael A. Ulrickson. "Plasma Facing Component Design Through Multiphysics Simulation". Fusion Science and Technology 64, n. 2 (agosto 2013): 269–76. http://dx.doi.org/10.13182/fst13-a18088.

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Altundas, Yusuf Bilgin, e Nikita Chugunov. "Multiphysics fluid monitoring: Toward targeted monitoring design under uncertainty". Interpretation 6, n. 3 (1 agosto 2018): SG19—SG32. http://dx.doi.org/10.1190/int-2017-0180.1.

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Properly designed multiphysics measurements program can improve the accuracy of fluid front monitoring (FFM) by combining tools with various spatial resolutions and desired contrast in time-lapse measurements, consequently enabling better sweep efficiency and increased oil recovery. We have introduced a new workflow for multiphysics FFM feasibility studies that determines the suitability of measurements considered for monitoring and enables informed decision making on where, when, and how often the measurements need to be performed. The workflow integrates petrophysically and thermodynamically consistent multiphysics responses for seismic, electromagnetic, and neutron capture measurements. We argue that, in the presence of multiple sources of uncertainty, reservoir performance should be analyzed from a 4D probabilistic standpoint, rather than just by looking at a traditional spread in cumulative production curves. Consequently, the monitoring program should be designed around our understanding of reservoir 4D probabilistic performance through consistent multiphysics modeling. We have developed a set of approaches to enable addressing both tasks on a single platform with all relevant sources of uncertainties including parametric and model uncertainties in effective medium modeling and reservoir simulation. The developed workflow is illustrated using the ISAPP Field Development Optimization Challenge benchmark data set introduced in 2017.

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Adam, Tijjani, e U. Hashim. "COMSOL Multiphysics Simulation in Biomedical Engineering". Advanced Materials Research 832 (novembre 2013): 511–16. http://dx.doi.org/10.4028/www.scientific.net/amr.832.511.

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In the past two decades, COMSOL Multiphysics Software Package have emerged as a powerful tool for simulation, particularly in Nanotechnology and most importantly in biomedical application and various application involving fluid and solid interactions. Compared with conventional component or system design, distinctive advantages of using COMSOL software for design include easy assessing to the significant parameters in various levels of design, higher throughput, process monitoring with lower cost and less time consuming [1,. This review aims to summarize the recent advancements in various approaches in major types of micro fluidic systems simulations, design application of various COMSOL models especially in biomedical applications. The state-of-the-art of past and current approaches of fluid manipulation as well as solid structure design fabrication was also elaborated. Future trends of using COMSOL in nanotechnology, especially in biomedical engineering perspective.

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Marrese, Fabrizio, Lorenzo Valletti, Stefano Fantauzzi, Alberto Leggieri, Mostafa Behtouei, Bruno Spataro e Franco Di Paolo. "Multiphysics Design of High-Power Microwave Vacuum Window". Journal of Microwaves, Optoelectronics and Electromagnetic Applications 21, n. 1 (marzo 2022): 157–70. http://dx.doi.org/10.1590/2179-10742022v21i1256395.

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Amundson, J. F., D. Dechow, L. McInnes, B. Norris, P. Spentzouris e P. Stoltz. "Multiscale, multiphysics beam dynamics framework design and applications". Journal of Physics: Conference Series 125 (1 luglio 2008): 012001. http://dx.doi.org/10.1088/1742-6596/125/1/012001.

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Makni, Z., M. Besbes e C. Marchand. "Multiphysics Design Methodology of Permanent-Magnet Synchronous Motors". IEEE Transactions on Vehicular Technology 56, n. 4 (luglio 2007): 1524–30. http://dx.doi.org/10.1109/tvt.2007.896981.

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Skinn, Brian, Timothy D. Hall, Stephen Snyder, K. P. Rajurkar e E. J. Taylor. "Accelerated Electrochemical Machining Tool Design via Multiphysics Modeling". ECS Transactions 77, n. 11 (7 luglio 2017): 963–79. http://dx.doi.org/10.1149/07711.0963ecst.

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Akiki, Paul, Maya Hage Hassan, Mohamed Bensetti, Philippe Dessante, Jean-Claude Vannier, Dany Prieto e Mike McClelland. "Multiphysics Design of a V-Shape IPM Motor". IEEE Transactions on Energy Conversion 33, n. 3 (settembre 2018): 1141–53. http://dx.doi.org/10.1109/tec.2018.2803072.

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Garmendia, Iñaki, Haritz Vallejo e Usue Osés. "Composite Mould Design with Multiphysics FEM Computations Guidance". Computation 11, n. 2 (17 febbraio 2023): 41. http://dx.doi.org/10.3390/computation11020041.

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Composite moulds constitute an attractive alternative to classical metallic moulds when used for components fabricated by processes such as Resin Transfer Moulding (RTM). However, there are many factors that have to be accounted for if a correct design of the moulds is sought after. In this paper, the Finite Element Method (FEM) is used to help in the design of the mould. To do so, a thermo-electrical simulation has been performed through MSC-Marc in the preheating phase in order to ensure that the mould is able to be heated, through the Joule’s effect, according to the thermal cycle specified under operating conditions. Mean temperatures of 120 °C and 100 °C are predicted for the lower and upper semi-mould parts, respectively. Additionally, a thermo-electrical-mechanical calculation has been completed with MSC-Marc to calculate the tensile state along the system during the preheating stage. For the filling phase, the filling process itself has been simulated through RTM-Worx. Both the uniform- and non-uniform temperature distribution approaches have been used to assess the resulting effect. It has been found that this piece of software cannot model the temperature dependency of the resin and a numerical trick must have been applied in the second case to overcome it. Results have been found to be very dependent on the approach, the filling time being 73% greater when modelling a non-uniform temperature distribution. The correct behaviour of the mould during the filling stage, as a consequence of the filling pressure, has been also proved with a specific mechanical analysis conducted with MSC-Marc. Finally, the thermo-elastic response of the mould during the curing stage has been numerically assessed. This analysis has been made through MSC-Marc, paying special attention to the curing of the resin and the exothermic reaction that takes place. For the sake of accuracy, a user subroutine to include specific curing laws has been used. Material properties employed are also described in detail following a modified version of the Scott model, with curing properties extracted from experiments. All these detailed calculations have been the cornerstone to designing the composite mould and have also unveiled some capabilities that were missed in the commercial codes employed. Future versions of these commercial codes will have to deal with these weak points but, as a whole, the Finite Element Method is shown to be an appropriate tool for helping in the design of composite moulds.

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Zhu, Zhichao, Feng Feng, Wei Zhang e Qi-Jun Zhang. "Space Mapping for Electromagnetic-Centric Multiphysics Filters Design". IEEE Microwave Magazine 26, n. 2 (febbraio 2025): 71–82. https://doi.org/10.1109/mmm.2024.3486599.

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Yan, Shuxia, Yaoqian Zhang, Wenyuan Liu, Gaohua Liu e Weiguang Shi. "A Novel Electromagnetic Centric Multiphysics Parametric Modeling Approach Using Neuro-Space Mapping for Microwave Passive Components". Photonics 9, n. 12 (10 dicembre 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 multiphysics parameters to EM parameters. The output mapping is introduced to further narrow the gap between the output of the coarse model and the multiphysics data. In addition, a three-stage training method is proposed for efficiently developing the proposed multiphysics model. The proposed technique, which combines the efficiency of EM analysis and the accuracy of multiphysics analysis, can achieve better accuracy with less multiphysics data than existing modeling methods. The developed Neuro-SM multiphysics model provides accurate and fast predictions of multiphysics responses. Therefore, the design cycle of microwave passive components is shortened while the modeling cost is significantly reduced. Two microwave filter examples are utilized to demonstrate the accuracy of the proposed parametric modeling technique.

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Nanthakumar, A. J. D., J. Jancirani, S. C. Rajasekaran e K. Sarathkumar. "Multiphysics Analysis of a Magnetorheological Damper". Defence Science Journal 69, n. 3 (30 aprile 2019): 230–35. http://dx.doi.org/10.14429/dsj.69.14424.

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A Magnetorheological damping has evolved as a potential tool in vibration control. The design of magnetorheological damping involves analysis of fluid flow principles and electromagnetic flux analysis. This research paper involves design and analysis of a magnetorheological damper employed for vibration control. The analysis is carried over by considering the domain as an axisymmetric model. The damping force of the damper depends upon the shear stress due to fluid viscosity and yield stress induced due to magnetic flux applied. The damping force generated by the damper is calculated.

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Jamolov, Umid, Francesco Peccini e Giovanni Maizza. "Multiphysics Design of an Automotive Regenerative Eddy Current Damper". Energies 15, n. 14 (11 luglio 2022): 5044. http://dx.doi.org/10.3390/en15145044.

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This research presents a finite element multi-physics design methodology that can be used to develop and optimise the inherent functions and geometry of an innovative regenerative eddy current (REC) damper for the suspension of B class vehicles. This methodology was inspired by a previous work which has been applied successfully for the development of an eddy current (EC) damper used for the same type of applications. It is based on a multifield finite element coupled model that can be used to fulfil the electromagnetic, thermal, and fluid dynamic field properties and boundary conditions of a REC damper, as well as its non-linear material properties and boundary conditions, while also analysing its damping performance. The proposed REC damper features a variable fail-safe damping force, while electric power is advantageously regenerated at high suspension frequencies. Its damping performance has been benchmarked against that of a regular hydraulic shock absorber (selected as a reference) by analysing the dynamic behaviour of both systems using a quarter car suspension model. The results are expressed in terms of damping force, harvested power, thermal field, comfort and handling, with reference to ISO-class roads. The optimisation analysis of the REC damper has suggested useful guidelines for the harmonisation of damping and regenerative power performances during service operation at different piston speeds.

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McBean, Patrick, Zachary Milne, Arjun Kanthawar, Khalid Hattar, Katherine Jungjohann e Lewys Jones. "Multiphysics Simulation for TEM Objective Lens Evaluation & Design". Microscopy and Microanalysis 28, S1 (22 luglio 2022): 2494–95. http://dx.doi.org/10.1017/s1431927622009540.

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Martowicz, Adam, Mateusz Rosiek, Michal Manka e Tadeusz Uhl. "Design Process of IDT Aided by Multiphysics FE Analyses". International Journal of Multiphysics 6, n. 2 (giugno 2012): 129–48. http://dx.doi.org/10.1260/1750-9548.6.2.129.

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Istardi, Didi, e Andy Triwinarko. "Induction Heating Process Design Using COMSOL® Multiphysics Software". TELKOMNIKA (Telecommunication Computing Electronics and Control) 9, n. 2 (1 agosto 2011): 327. http://dx.doi.org/10.12928/telkomnika.v9i2.704.

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de Paula Machado Bazzo, Thiago, Jose Fabio Kolzer, Renato Carlson, Frederic Wurtz e Laurent Gerbaud. "Multiphysics Design Optimization of a Permanent Magnet Synchronous Generator". IEEE Transactions on Industrial Electronics 64, n. 12 (dicembre 2017): 9815–23. http://dx.doi.org/10.1109/tie.2017.2726983.

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Adam, Lukáš, Michael Hintermüller, Dirk Peschka e Thomas M. Surowiec. "Optimization of a Multiphysics Problem in Semiconductor Laser Design". SIAM Journal on Applied Mathematics 79, n. 1 (gennaio 2019): 257–83. http://dx.doi.org/10.1137/18m1179183.

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da Silva, Luis G., Igor F. da Costa e Arismar Cerqueira Sodré. "Multiphysics design methodology for photonic-based phased array antennas". Microwave and Optical Technology Letters 56, n. 4 (27 febbraio 2014): 838–43. http://dx.doi.org/10.1002/mop.28225.

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Yu, Xiaoming, Zhaoxin Guo e Haowei Yi. "Design of TaCu alloy coating for orthopaedic materials and study on dissolution behavior of copper ions". Journal of Physics: Conference Series 2459, n. 1 (1 marzo 2023): 012012. http://dx.doi.org/10.1088/1742-6596/2459/1/012012.

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Abstract In this study, tantalum copper (TaCu) alloy coating was designed and fabricated by the chemical vapor deposition (CVD) method, while the process was explored through COMSOL Multiphysics software. The influence of deposition temperature on coating quality was studied in combination with our previous work. In addition, the galvanic corrosion behavior of TaCu coating in Hank’s solution was simulated through this software. The COMSOL Multiphysical software can be used to simulate the process that TaCu coated on the surface of titanium(Ti) alloy substrate by chemical vapor deposition. The deposition quality was affected by the direction of the deposition airflow. Cu ion dissolution makes the coating thickness decrease uniformly, Cu ion dissolution accelerates due to galvanic corrosion, and the antibacterial ability of the coating can be improved due to Cu ion dissolution.

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Jebari, Nessrine, Elisabeth Dufour-Gergam e Mehdi Ammar. "3D Simulation-Driven Design of a Microfluidic Immunosensor for Real-Time Monitoring of Sweat Biomarkers". Micromachines 15, n. 8 (23 luglio 2024): 936. http://dx.doi.org/10.3390/mi15080936.

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This study presents the design and comprehensive 3D multiphysics simulation of a novel microfluidic immunosensor for non-invasive, real-time detection of pro-inflammatory biomarkers in human sweat. The patch-like device integrates magnetofluidic manipulation of antibody-functionalized magnetic nanoparticles (MNPs) with direct-field capacitive sensing (DF-CS). This unique combination enhances sensitivity, reduces parasitic capacitance, and enables a more compact design compared to traditional fringing-field approaches. A comprehensive 3D multiphysics simulation of the device, performed using COMSOL Multiphysics, demonstrates its operating principle by analyzing the sensor’s response to changes in the dielectric properties of the medium due to the presence of magnetic nanoparticles. The simulation reveals a sensitivity of 42.48% at 85% MNP occupancy within the detection zone, highlighting the sensor’s ability to detect variations in MNP concentration, and thus indirectly infer biomarker levels, with high precision. This innovative integration of magnetofluidic manipulation and DF-CS offers a promising new paradigm for continuous, non-invasive health monitoring, with potential applications in point-of-care diagnostics, personalized medicine, and preventive healthcare.

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Bajda, Yevgen, e Oleksandr Grechko. "Multiphysics calculation of fuses of medium voltage measuring transformers". Bulletin of NTU "KhPI". Series: Problems of Electrical Machines and Apparatus Perfection. The Theory and Practice, n. 1 (9) (16 giugno 2023): 3–10. http://dx.doi.org/10.20998/2079-3944.2023.1.01.

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Introduction. In the medium voltage power grid of 6-35 kV, there is a problem of protecting voltage instrument transformers. This is due to the insufficiently effective level of their protection with fuses. Recently, there have been more and more reports of accidents associated with the failure of voltage instrument transformers not only in Ukraine, but also abroad. The issue of conducting an analytical study of the problem of protection of medium voltage instrument transformers by fuses is relevant. Goal. Investigation of designs and characteristics of fuses for medium voltage instrument transformers to improve the efficiency of their protection. Results. The article shows that protection of medium voltage instrument transformers with epoxy insulation is often provided by fuses, in which the nominal current of the combustion insert is significantly higher than the maximum permissible long-term current of the primary winding of the instrument transformer. A comparative analysis of the current values of the primary winding of medium voltage instrument transformers with the values of the nominal currents of the fusing inserts of fuses of various manufacturers presented on the Ukrainian market is carried out. The design features and technical characteristics of fuses for medium voltage instrument transformers have been investigated in order to increase the efficiency of their protection. The advantages and disadvantages of the designs of fuses from various manufacturers have been investigated and it has been established that the design of fuses requires further improvement in order to increase the efficiency of protection of medium voltage instrument transformers. Discussion and prospects for further development. Since in Ukraine, the need for fuses to protect medium voltage instrument transformers is provided mainly by supplies abroad, a promising direction for further development in this direction is the creation of a domestic competitive design of a fuse and its introduction into production.

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Zhang, Linan, Sung Youb Kim e 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 of chemotherapeutic drug, which is obtained from atomic simulations. With the developed model, the invasion process of cancer cells in chemotherapy treatment is quantitatively investigated. The performed simulations suggest a substantial potential of the presented model for a reliable design technology of chemotherapy treatment.

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Malik, Affan, Kent Snyder, Minghong Liu e Hui-Chia Yu. "Architecture Design of High-Performance Electrodes Guided by Large-Scale, High-Throughput Microstructure Simulations". ECS Meeting Abstracts MA2024-02, n. 3 (22 novembre 2024): 372. https://doi.org/10.1149/ma2024-023372mtgabs.

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A battery’s actual operational performance is dictated by electrode microstructure architectures besides electrode materials’ intrinsic properties. However, because of the complexities of coupled physics and microstructures, most electrode designs proceed by a traditional trial-and-error fashion. In this work, we employ a direct image-based multiphysics electrochemical simulation framework to perform detailed microstructure-level simulations in an unprecedented speed. Yet the results still contain all the details of multiphysics dynamics in the explicitly considered complex microstructure geometries. We use graphite electrodes to demonstrate these high-throughout-style microstructure simulations with the phase field approach to precisely model the phase transitions in individual graphite particles during lithiation/delithiation. Autonomous simulations were performed on series of automatically modified graphite electrode microstructures to extract the optimal design that enhances high-rate performance of thick electrodes. This presented simulation tool will greatly facilitate battery developers to identify electrode design to meet specific operation needs.

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Salih, Nurulazirah Md, Uda Hashim, Nayan Nafarizal, Chin Fhong Soon e Mohd Zainizan Sahdan. "Numerical Simulation of Water Flow Velocity for Microfluidic Application Using COMSOL Multiphysics". Advanced Materials Research 925 (aprile 2014): 651–55. http://dx.doi.org/10.4028/www.scientific.net/amr.925.651.

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In microfluidic devices, the most important aspect has to be considered for the manufacturing process is the geometric design. Simulation is a good approach for determining the performance of the design. In this study, several microchannel designs were simulated using COMSOL Multiphysics 4.2 software in order to find the optimized geometry. It involves a study of different shape, diameter, length, and angle of microchannels design, and its influence on the water flow velocity. From the simulation results, an optimize microchannels design was obtained which consists of 100 μm cross-sectional diameter, 4:3:11 channel length ratio, and 35 degrees of microchannels angle. Further study could be done to improve the finding of the microfluidic simulation design for better water flow behavior.

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Et. al., Priti Rajput,. "Design and simulation of microfluidic smart bandage using Comsol Multiphysics". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, n. 5 (11 aprile 2021): 1650–62. http://dx.doi.org/10.17762/turcomat.v12i5.2142.

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Microfluidics is an emerging field finding its applications in biomedical engineering for investigations of cellular micro structures. Human body is composed of 70% of water having thin and fine structure of microfluidic blood channels spread throughout the body. These microchannels supply essential nutrients to each part of the body at right time and in right amount. Microfluidics is the science of controlling and manipulating the fluid in micro channels. Manipulating the flow through the microchannels is useful for developing electronic devices, artificial human body parts, and economical diagnostics tools. Microfluidics also helps in manufacturing of pharmaceuticals and carrying out precise chemical analysis of complex systems. A number of diagnostic devices and artificial human organs like lungs, heart, kidneys, etc. have been simulated using microfluidics for developing easy, economical, non-invasive, and rapid method of drug testing. Recently, its applications have also been investigated in smart bandage design. Further, blend of microfluidics with herbal medicines is expected to enhance the healing along with negligible side effects unlike allopathic treatments. The scope of the present research is to develop a smart bandage capable of sensing the status of the wound and supplying required amount of drugs using microfluidic channels. The flow rate of drugs through microchannels is simulated using the physics of laminar flow, capillary action, and diffusion phenomena for optimizing the size and shape of the constituent components of the bandage like microfluidic channels, mixers, and porous material used for drug distribution with in the active area of the bandage. The analysis of the results shows that the mixer having inner radius as 150 microns and outer radius as 250 microns is sufficient to mix the incoming drugs via inlets of 50 microns’ diameter. Results also show that capillary action dominates the diffusion phenomenon for supplying the drugs to the wound. The investigations of the prototype show that a smart bandage having the provisions of uniform drug distribution, automatic control, on board pH, moisture, O2 measurement, and dc current based healing mechanism is possible to be incorporated with in a comfortable size for fast wound healing.

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Salvador, Ana, Jhony Teleken, Xisto Lucas Travassos, Sergio Luciano Avila e Bruno Carciofi. "Multiphysics Modeling to Assist Microwave Cavity Design for Food Processing". International Journal of Electrical and Computer Engineering Research 2, n. 2 (15 giugno 2022): 1–10. http://dx.doi.org/10.53375/ijecer.2022.233.

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Microwave technology has many current applications. It is very useful for food processing, including domestic cooking and warming-up and industrial heating and drying. It heats faster than conventional applications; however, in most cases result in non-uniform temperature distribution. Adequate cavity and equipment designs can reduce the impact of these heterogeneities and using multiples magnetrons is a possibility to mitigate hot and cold spots. Yet, the literature lacks methods to evaluate and compare multiple magnetrons designs. This study aimed to develop a procedure to evaluate the number and position of magnetrons connected to an application cavity using multiphysics modelling and simulation of the microwave distribution and heating of a food model. It was based on evaluating the electric field distribution into a selected working volume filled with air or a mixture of air-potato and the consequent effective power absorbed and temperature distribution into the air-potato medium. The assisted methodology with process simulation offers an insight into food temperature distribution, which would be very difficult to obtain experimentally or in any equipment design methodology. In this case study, it was found that up to 6 magnetrons are good enough when active in approximately 0.16 m3 cavity with a load that fills 10% of its volume.

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Economon, Thomas D., Francisco Palacios, Sean R. Copeland, Trent W. Lukaczyk e Juan J. Alonso. "SU2: An Open-Source Suite for Multiphysics Simulation and Design". AIAA Journal 54, n. 3 (marzo 2016): 828–46. http://dx.doi.org/10.2514/1.j053813.

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Karumuri, S. R., Y. Srinivas, P. Ganesh, K. Sunil Babu e V. Sundara Siva Kumar. "Design and Simulation of Piezo Actuated Microgripper by COMSOL Multiphysics". Journal of Computational and Theoretical Nanoscience 11, n. 3 (1 marzo 2014): 757–62. http://dx.doi.org/10.1166/jctn.2014.3424.

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Di Barba, P., I. Dolezel, P. Karban, P. Kus, F. Mach, M. E. Mognaschi e A. Savini. "Multiphysics field analysis and multiobjective design optimization: a benchmark problem". Inverse Problems in Science and Engineering 22, n. 7 (19 novembre 2013): 1214–25. http://dx.doi.org/10.1080/17415977.2013.860590.

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Rouson, Damian W. I., Helgi Adalsteinsson e Jim Xia. "Design patterns for multiphysics modeling in Fortran 2003 and C++". ACM Transactions on Mathematical Software 37, n. 1 (gennaio 2010): 1–30. http://dx.doi.org/10.1145/1644001.1644004.

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Alì, G., A. Bartel, M. Günther e C. Tischendorf. "Elliptic Partial Differential-Algebraic Multiphysics Models in Electrical Network Design". Mathematical Models and Methods in Applied Sciences 13, n. 09 (settembre 2003): 1261–78. http://dx.doi.org/10.1142/s0218202503002908.

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In refined network analysis, a compact network model is combined with distributed models for semiconductor devices in a multiphysics approach. For linear RLC networks containing diodes as distributed devices, we construct a mathematical model that combines the differential-algebraic network equations of the circuit with elliptic boundary value problems modeling the diodes. For this mixed initial-boundary value problem of partial differential-algebraic equations a first existence result is given.

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N, Divya, Jyothi V e Rajesh Kumar B. "Design & Simulation of MEMS Accelerometer Using COMSOL Multiphysics Software". International Journal of Engineering Trends and Technology 20, n. 5 (25 febbraio 2015): 244–47. http://dx.doi.org/10.14445/22315381/ijett-v20p247.

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Chen, Xiong, Ling Wang, Sen Yang e Ming Yu. "Empirical Passive Intermodulation Multiphysics Modeling Using Design of Experiment Method". IEEE Transactions on Instrumentation and Measurement 69, n. 12 (dicembre 2020): 9371–73. http://dx.doi.org/10.1109/tim.2020.3031839.

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Kolondzovski, Zlatko, Anouar Belahcen e Antero Arkkio. "Multiphysics thermal design of a high-speed permanent-magnet machine". Applied Thermal Engineering 29, n. 13 (settembre 2009): 2693–700. http://dx.doi.org/10.1016/j.applthermaleng.2009.01.001.

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41

Xiang, Jing, Yuanming Chen, Shouxu Wang, Chong Wang, Wei He, Huaiwu Zhang, Xiaofeng Jin, Qingguo Chen e Xinhong Su. "Improvement of plating uniformity for copper patterns of IC substrate with multi-physics coupling simulation". Circuit World 44, n. 3 (6 agosto 2018): 150–60. http://dx.doi.org/10.1108/cw-12-2017-0078.

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Purpose Optimized plating conditions, included proper designs of insulating shield (IS), auxiliary cathode (AC) and different patterns, contribute to the uniformity enhancement of copper deposition. Design/methodology/approach Plating experiments were implemented in vertical continuous plating (VCP) line for manufacturing in different conditions. Multiphysics coupling simulation was brought to investigate and predict the plating uniformity improvement of copper pattern. In addition, the numerical model was based on VCP to approach the practical application. Findings With disproportionate current distribution, different plating pattern design formed diverse copper thickness distribution (CTD). IS and AC improved plating uniformity of copper pattern because of current redistribution. Moreover, optimized plating condition for effectively depositing more uniformed plating copper layer in varied pattern designs were derived by simulation and verified by plating experiment. Originality/value The comparison between experiment and simulation revealed that multiphysics coupling is an efficient, reliable and of course environment-friendly tool to perform research on the uniformity of pattern plating in manufacturing.

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Sumit, Rahul Shukla e A. K. Sinha. "Finite element method coupled with TLBO for shape control optimization of piezoelectric bimorph in COMSOL Multiphysics". SIMULATION 97, n. 9 (6 luglio 2021): 635–44. http://dx.doi.org/10.1177/00375497211025640.

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Finite element methods (FEMs) are more advantageous for analyzing complex geometry and structures than analytical methods. Local search optimization techniques are suitable for the unimodal problem because final result depends on the starting point. On the other hand, to optimize the parameters of multi-minima/maxima problems, global optimization-based FEM is used. Unfortunately, global optimization solvers are not present in, COMSOL Multiphysics, a versatile tool for solving varieties of problems using FEM. Teaching–learning-based optimization (TLBO) is a global optimization technique and does not require any algorithm-specific parameter. In this paper, FEM is coupled with TLBO algorithms in COMSOL Multiphysics for solving the global optimization problem. The TLBO algorithm is implemented in COMSOL Multiphysics using the JAVA application programming interface and tested with the standard benchmark functions. The solutions of the standard benchmark problem in COMSOL Multiphysics are in close agreement with the results presented in literature. Furthermore, the optimization procedure thus established is used for the optimization of actuator voltage for piezoelectric bimorphs to achieve the desired shapes. The FEM-based TLBO method is compared with two optimization methods present in COMSOL Multiphysics for a shape control problem; (i) method of moving asymptotes (MMA) and (ii) Bound Optimization BY Quadratic Approximation (BOBYQA). The root mean square error shows that the FEM-based TLBO algorithm converges to a global minimum and gives the same result (19.3 nm) at multiple runs, whereas MMA and BOBYQA trapped in local minimum and gave different results for different starting points.

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Weng, Lien-Chun, Alexis T. Bell e Adam Z. Weber. "Modeling gas-diffusion electrodes for CO2 reduction". Physical Chemistry Chemical Physics 20, n. 25 (2018): 16973–84. http://dx.doi.org/10.1039/c8cp01319e.

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Monismith, Scott, Scott A. Roberts, Wanjiao Liu e Jeffrey Scott Horner. "Multiphysics Simulation of Battery Electrode Drying". ECS Meeting Abstracts MA2024-01, n. 4 (9 agosto 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 and time-intensive to iteratively test different temperatures on multiple initial electrode microstructures, it is necessary to have reliable, high-fidelity simulations which can model the evaporation process. Furthermore, it is easier to control microstructural features such as porosity, and particle size in a simulated environment, Indeed, by simulating evaporation, the design-of-experiments space can be minimized, and process conditions can be established to accelerate the production of high quality, lower cost electrodes. To that end, we develop a multiphysics model of solvent evaporation using Sandia’s in-house finite element software. By coupling the solvent equations of motion to species conservation equations for the carbon binder material and energy flux driven by evaporative cooling, we demonstrate good agreement between simulation and simple evaporation experiments. This model tackles several difficult aspects of evaporation, namely the evolution of free surfaces and gas-liquid phase-changes. We additionally extend our model to account for mesoscale features (i.e. particle size, porosity, binder distribution) and determine how different temperature profiles and microstructures affect the heating requirements for the electrode. These extensions present a key advantage over conventional 1D models, as these features can have a significant effect on the evaporation process and the final distribution of conductive additive and binder. We leverage this advantage to examine how several design parameters such as porosity, particle size distribution, and heating rate affect the resulting electrode structure and binder distribution. These results demonstrate a pathway to optimizing the electrode drying process and promise to inform the development of improved multiphysics models in the future. SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525.

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Ariffin, Shahrul A. B., U. Hashim e Tijjani Adam. "Designing Microchannels Separator Mask for Lithography Process". Advanced Materials Research 795 (settembre 2013): 563–67. http://dx.doi.org/10.4028/www.scientific.net/amr.795.563.

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Recently microfluidic has drawn attention from fellow research because of their unique properties and behavior in biotechnology, biomedical, micro and nanotechnology. Microfluidic is a combination from several components that consists from Microhannel, micromixer, microchamber, concentrator, separation and valve but component of microfluidic will be conduct in simulation is microfluidic separation and microchannel. This paper will elaborate more about design of microchannel separator by using COMSOL Multiphysics 3.5 software and base on the result from the COMSOL Multiphysics 3.5, we can create a detail design in the autoCAD software and lastly, as the result for this paper is an actual fabrication mask will be reveal for further fabrication process.

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Yuan, Chengdong, Siyang Hu e Tamara Bechtold. "Stable compact modeling of piezoelectric energy harvester devices". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, n. 2 (27 aprile 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 structure preserving MOR” method was not. This paper aims to provide the missing mathematical proof of “multiphysics structure preserving MOR.” Design/methodology/approach Piezoelectric energy harvesters can be represented by system of differential-algebraic equations obtained by the finite element method. According to the block structure of its system matrices, “MOR after Schur” and “Schur after MOR” both perform Schur complement transformations either before or after the MOR process. For the “multiphysics structure preserving MOR” method, the original block structure of the system matrices is preserved during MOR. Findings This contribution shows that, in comparison to “MOR after Schur” and “Schur after MOR” methods, “multiphysics structure preserving MOR” method performs the Schur complement transformation implicitly, and therefore, stabilizes the reduced piezoelectric model. Originality/value The stability preservation of the reduced piezoelectric energy harvester model obtained through “multiphysics structure preserving MOR” method is proven mathematically and further validated by numerical experiments on two different piezoelectric energy harvester devices.

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Al-Dawood, Khaldoon, e Scott Palmtag. "A Design and Optimization Methodology for Liquid Metal Fast Reactors". International Journal of Energy Research 2023 (8 marzo 2023): 1–15. http://dx.doi.org/10.1155/2023/6846467.

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A liquid metal fast reactor (LMFR) design and optimization methodology (DOM) has been developed. The methodology effectively explores a search space by initially sampling the search space, excluding invalid design samples prior to performing expensive multiphysics analysis, and then performing local searches of the design space. The design samples are evaluated using the multiphysics capabilities of the LUPINE LMFR simulation suite. Two studies have been performed to demonstrate DOM. First, the Westinghouse long-life core lead fast reactor (WLFR) is optimized. This reactor is 950 MW th and fueled with uranium nitride (UN) fuel which has a natural nitrogen isotopic abundance. The objective of the optimization is the reduction of the levelized fuel cycle cost (LFCC) while complying with the design constraints. Considering the challenges associated with using natural nitrogen in nitride fuel, a second study was performed to design a competitive 15N-enriched UN-fueled long-life core LFR. Based on this design, the cost of the 15N enrichment process necessary to achieve a competitive LFCC was calculated.

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Thongsri, Jatuporn, Piyawong Poopanya, Sanguansak Sriphalang e Sorathorn Pattanapichai. "The Development of a High-Efficiency Small Induction Furnace for a Glass Souvenir Production Process Using Multiphysics". Clean Technologies 6, n. 3 (9 settembre 2024): 1181–202. http://dx.doi.org/10.3390/cleantechnol6030058.

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A small induction furnace (SIF), which has the important components of copper coils, a ceramic jig, and a graphite crucible, employed for a glass souvenir production process, has been developed as a form of clean technology for multiphysics, consisting of electromagnetics analysis (EA) and thermal analysis (TA). First, two experiments were established to measure parameters for multiphysics results validation and boundary condition settings. Then, the parameters were applied to multiphysics, in which the EA revealed magnetic flux density (B) and ohmic losses, and the TA reported a temperature consistent with the experimental results, confirming the multiphysics credibility. Next, a ferrite flux concentrator was added to the SIF during development. Multiphysics revealed that PC40 ferrite, as a flux concentrator with a suitable design, could increase B by about 159% compared to the conventional SIF at the power of 1000 W. As expected, the B increases alongside the increase in power applied to the coils, and is more densely concentrated in the flux concentrator than in other regions, enhancing the production process efficacy. Lastly, the developed SIF was employed in the actual process and received good feedback from users. The novel research findings are the developed SIF and methodology, exclusively designed for this research and practically employed for a glass souvenir production process.

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Alexiadis, Alessio. "Deep Multiphysics and Particle–Neuron Duality: A Computational Framework Coupling (Discrete) Multiphysics and Deep Learning". Applied Sciences 9, n. 24 (9 dicembre 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 after the other. This study introduces deep multiphysics; a computational framework that couples first-principles modelling and machine learning in parallel rather than in series. Deep multiphysics works with particle-based first-principles modelling techniques. It is shown that the mathematical algorithms behind several particle methods and artificial neural networks are similar to the point that can be unified under the notion of particle–neuron duality. This study explains in detail the particle–neuron duality and how deep multiphysics works both theoretically and in practice. A case study, the design of a microfluidic device for separating cell populations with different levels of stiffness, is discussed to achieve this aim.

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Michopoulos, John G., Charbel Farhat e Jacob Fish. "Modeling and Simulation of Multiphysics Systems". Journal of Computing and Information Science in Engineering 5, n. 3 (2005): 198. http://dx.doi.org/10.1115/1.2031269.

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