Relevant bibliographies by topics / Multiphysics design

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multiphysics design'

Author: Grafiati
Published: 25 January 2025

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Journal articles on the topic "Multiphysics design"

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SONG, Shaoyun. "Collaborative design of multiphysics problems." Chinese Journal of Mechanical Engineering (English Edition) 20, no. 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, and S. D. Rajan. "Multiphysics CAD-Based Design Optimization." Mechanics Based Design of Structures and Machines 34, no. 2 (July 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, and Qiang Tang. "Pavement Analysis and Design by Multiphysics." Advances in Civil Engineering 2019 (February 28, 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, no. 5 (May 27, 2021): 673–75. https://doi.org/10.21275/sr21516140813.

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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 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., and Michael A. Ulrickson. "Plasma Facing Component Design Through Multiphysics Simulation." Fusion Science and Technology 64, no. 2 (August 2013): 269–76. http://dx.doi.org/10.13182/fst13-a18088.

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Altundas, Yusuf Bilgin, and Nikita Chugunov. "Multiphysics fluid monitoring: Toward targeted monitoring design under uncertainty." Interpretation 6, no. 3 (August 1, 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, and U. Hashim. "COMSOL Multiphysics Simulation in Biomedical Engineering." Advanced Materials Research 832 (November 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, and Franco Di Paolo. "Multiphysics Design of High-Power Microwave Vacuum Window." Journal of Microwaves, Optoelectronics and Electromagnetic Applications 21, no. 1 (March 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, and P. Stoltz. "Multiscale, multiphysics beam dynamics framework design and applications." Journal of Physics: Conference Series 125 (July 1, 2008): 012001. http://dx.doi.org/10.1088/1742-6596/125/1/012001.

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Dissertations / Theses on the topic "Multiphysics design"

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FORTE, Ruggero. "Multiphysics Optimization for Water-Cooled Breeding Blanket Design Enhancement." Doctoral thesis, Università degli Studi di Palermo, 2021. http://hdl.handle.net/10447/478128.

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The commercial feasibility of the first fusion power plant generation adopting D-T plasma is strongly dependent upon the self-sustainability in terms of tritium fueling. Within such a kind of reactor, the component selected to house the tritium breeding reactions is the breeding blanket, which is further assigned to heat power removal and radiation shielding functions. As a consequence of both its role and position, the breeding blanket is heavily exposed to both surface and volumetric heat loads and, hence, its design requires a typical multiphysics approach, from the neutronics to the thermo-mechanics. During last years, a great deal of effort has been put in the optimization of the breeding blanket design, with the aim of maximizing the tritium breeding and heat removal performances without undermining its structural integrity. In this dissertation, a derivative-free optimization method named “Complex method” is applied for the design optimization of the European DEMO Water-Cooled Lithium Lead breeding blanket concept. To this purpose, a potential tritium production performances-based objective function is defined and a multiphysics model of the blanket is developed inside COMSOL environment in order to solve the coupled thermo-mechanical problem, while the optimization algorithm implemented in MATLAB leads the design towards a minimum optimum point compliant with the prescribed requirements. Once the optimized design is obtained, its nuclear, thermal-hydraulic and structural performances are assessed by means of specific neutron transport and multiphysics simulations, respectively. Finally, the structural integrity is verified by means of the application of the RCC-MRx design criteria.
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Rodrigues, Dário Barros. "Target-specific multiphysics modeling for thermal medicine applications." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11296.

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Dissertation to obtain the degree of Doctor of Philosophy in Biomedical Engineering
This thesis addresses thermal medicine applications on murine bladder hyperthermia and brain temperature monitoring. The two main objectives are interconnected by the key physics in thermal medicine: heat transfer. The first goal is to develop an analytical solution to characterize the heat transfer in a multi-layer perfused tissue. This analytical solution accounts for important thermoregulation mechanisms and is essential to understand the fundamentals underlying the physical and biological processes associated with heat transfer in living tissues. The second objective is the development of target-specific models that are too complex to be solved by analytical methods. Thus, the software for image segmentation and model simulation is based on numerical methods and is used to optimize non-invasive microwave antennas for specific targets. Two examples are explored using antennas in the passive mode (probe) and active mode (applicator). The passive antenna consists of a microwave radiometric sensor developed for rapid non-invasive feedback of critically important brain temperature. Its design parameters are optimized using a power-based algorithm. To demonstrate performance of the device, we build a realistic model of the human head with separate temperaturecontrolled brain and scalp regions. The sensor is able to track brain temperature with 0.4 °C accuracy in a 4.5 hour long experiment where brain temperature is varied in a 37 °C, 27 °C and 37 °C cycle. In the second study, a microwave applicator with an integrated cooling system is used to develop a new electro-thermo-fluid (multiphysics) model for murine bladder hyperthermia studies. The therapy procedure uses a temperature-based optimization algorithm to maintain the bladder at a desired therapeutic level while sparing remaining tissues from dangerous temperatures. This model shows that temperature dependent biological properties and the effects of anesthesia must be accounted to capture the absolute and transient temperature fields within murine tissues. The good agreement between simulation and experimental results demonstrates that this multiphysics model can be used to predict internal temperatures during murine hyperthermia studies.
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Han, Chanjuan. "Advanced Multiphysics Simulation and Characterization for the Multifunctional and Innovative Design of Energy Geosystem." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1524139196492659.

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AHMADI, DARMANI MOSTAFA. "Multiphysics Design of Interior Permanent Magnet Machines and Characterization of Innovative Hard Magnetic Material." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2971120.

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Blakely, Cole David. "Uncertainty Quantification and Sensitivity Analysis of Multiphysics Environments for Application in Pressurized Water Reactor Design." DigitalCommons@USU, 2018. https://digitalcommons.usu.edu/etd/7256.

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The most common design among U.S. nuclear power plants is the pressurized water reactor (PWR). The three primary design disciplines of these plants are system analysis (which includes thermal hydraulics), neutronics, and fuel performance. The nuclear industry has developed a variety of codes over the course of forty years, each with an emphasis within a specific discipline. Perhaps the greatest difficulty in mathematically modeling a nuclear reactor, is choosing which specific phenomena need to be modeled, and to what detail. A multiphysics computational environment provides a means of advancing simulations of nuclear plants. Put simply, users are able to combine various physical models which have commonly been treated as separate in the past. The focus of this work is a specific multiphysics environment currently under development at Idaho National Labs known as the LOCA Toolkit for US light water reactors (LOTUS). The ability of LOTUS to use uncertainty quantification (UQ) and sensitivity analysis (SA) tools within a multihphysics environment allow for a number of unique analyses which to the best of our knowledge, have yet to be performed. These include the first known integration of the neutronics and thermal hydraulic code VERA-CS currently under development by CASL, with the well-established fuel performance code FRAPCON by PNWL. The integration was used to model a fuel depletion case. The outputs of interest for this integration were the minimum departure from nucleate boiling ratio (MDNBR) (a thermal hydraulic parameter indicating how close a heat flux is to causing a dangerous form of boiling in which an insulating layer of coolant vapour is formed), the maximum fuel centerline temperature (MFCT) of the uranium rod, and the gap conductance at peak power (GCPP). GCPP refers to the thermal conductance of the gas filled gap between fuel and cladding at the axial location with the highest local power generation. UQ and SA were performed on MDNBR, MFCT, and GCPP at a variety of times throughout the fuel depletion. Results showed the MDNBR to behave linearly and consistently throughout the depletion, with the most impactful input uncertainties being coolant outlet pressure and inlet temperature as well as core power. MFCT also behaves linearly, but with a shift in SA measures. Initially MFCT is sensitive to fuel thermal conductivity and gap dimensions. However, later in the fuel cycle, nearly all uncertainty stems from fuel thermal conductivity, with minor contributions coming from core power and initial fuel density. GCPP uncertainty exhibits nonlinear, time-dependent behaviour which requires higher order SA measures to properly analyze. GCPP begins with a dependence on gap dimensions, but in later states, shifts to a dependence on the biases of a variety of specific calculation such as fuel swelling and cladding creep and oxidation. LOTUS was also used to perform the first higher order SA of an integration of VERA-CS and the BISON fuel performance code currently under development at INL. The same problem and outputs were studied as the VERA-CS and FRAPCON integration. Results for MDNBR and MFCT were relatively consistent. GCPP results contained notable differences, specifically a large dependence on fuel and clad surface roughness in later states. However, this difference is due to the surface roughness not being perturbed in the first integration. SA of later states also showed an increased sensitivity to fission gas release coefficients. Lastly a Loss of Coolant Accident was investigated with an integration of FRAPCON with the INL neutronics code PHISICS and system analysis code RELAP5-3D. The outputs of interest were ratios of the peak cladding temperatures (highest temperature encountered by cladding during LOCA) and equivalent cladding reacted (the percentage of cladding oxidized) to their cladding hydrogen content-based limits. This work contains the first known UQ of these ratios within the aforementioned integration. Results showed the PCT ratio to be relatively well behaved. The ECR ratio behaves as a threshold variable, which is to say it abruptly shifts to radically higher values under specific conditions. This threshold behaviour establishes the importance of performing UQ so as to see the full spectrum of possible values for an output of interest. The SA capabilities of LOTUS provide a path forward for developers to increase code fidelity for specific outputs. Performing UQ within a multiphysics environment may provide improved estimates of safety metrics in nuclear reactors. These improved estimates may allow plants to operate at higher power, thereby increasing profits. Lastly, LOTUS will be of particular use in the development of newly proposed nuclear fuel designs.
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Fukumoto, Yutaka. "Particle Based Multiphysics Simulation for Applications to Design of Soil Structures and Micromechanics of Granular Geomaterials." Kyoto University, 2015. http://hdl.handle.net/2433/199374.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(農学)
甲第19050号
農博第2128号
新制||農||1032(附属図書館)
学位論文||H27||N4932(農学部図書室)
32001
京都大学大学院農学研究科地域環境科学専攻
(主査)教授 村上 章, 教授 藤原 正幸, 教授 澤田 純男
学位規則第4条第1項該当
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Moreno, Navarro Pablo. "Multiphysics formulation and multiscale finite element discretizations of thermo-electro-magneto-mechanic coupling for smart materials design." Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2525.

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Les algorithmes numériques basés sur la méthode des éléments finis seront spécialisés dans l’analyse, la conception et l’optimisation de capteurs et d’actionneurs (S-A), ainsi que dans leur application aux structures intelligentes. Les S-A basés sur des actifs tangibles peuvent coupler plusieurs domaines, tels que les domaines mécanique, électrique, magnétique et thermique. Ils sont utilisés dans de nombreuses applications, notamment dans les structures intelligentes, la surveillance des dommages ou l’aérodynamique. Malgré l’expérience considérable de ces études, les étapes abordées consistent d’abord à développer une formulation thermodynamiquement cohérente à l’échelle macro pour introduire des modèles de plasticité; deuxièmement, fournir les outils permettant de prendre en compte les hétérogénéités des modèles multi-échelles pour les matériaux intelligents. L’objectif principal est la mise au point d’un code informatique de recherche permettant de simuler et d’étudier les performances, non seulement des S-A eux-mêmes, mais également des structures intelligentes dans lesquelles ces S-A seront montés
Numerical algorithms based on the Finite Element Method will be specialized for Analysis, Design, and Optimization of Sensors and Actuators (S-A) and their Application to Smart Structures. The S-A based on tangible assets can couple several fields, such as mechanical, electrical, magnetic, and thermal. They are used in many applications, particularly in smart structures, damage monitoring, or aerodynamics. Despite the considerable experience in these studies, the steps addressed are first to develop a thermodynamically consistent formulation for macro-scale to introduce plasticity models; second, to provide the tools to take into account the heterogeneities of multi-scale models for smart materials. The main objective is the development of a research computer code to simulate and study the performance, not only of the S-A themselves but also of the smart structures in which these S-A will be mounted
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Vich, Ramis Maria del Mar. "Design of ensemble prediction systems based on potential vorticity perturbations and multiphysics. Test for western Mediterranean heavy precipitation events." Doctoral thesis, Universitat de les Illes Balears, 2012. http://hdl.handle.net/10803/84075.

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L'objectiu principal d'aquesta tesi és millorar l'actual capacitat de predicció de fenòmens meteorològics de pluja intensa potencialment perillosos a la Mediterrània occidental. Es desenvolupen i verifiquen tres sistemes de predicció per conjunts (SPC) que tenen en compte incerteses presents en els models numèrics i en les condicions inicials. Per generar els SPC s'utilitza la connexió entre les estructures de vorticitat potencial (VP) i els ciclons, a més de diferents esquemes de parametrització física. Es mostra que els SPC proporcionen una predicció més hàbil que la determinista. Els SPC generats pertorbant les condicions inicials han obtingut millor puntuació en verificacions estadístiques. Els resultats d'aquesta tesi mostren la utilitat i la idoneïtat dels mètodes de predicció basats en la pertorbació d'estructures de VP de nivells alts, precursors de les situacions ciclòniques. Els resultats i estratègies presentats pretenen ser un punt de partida per a futurs estudis que facin ús d'aquests mètodes.
The main goal of this thesis is to improve the current prediction skill of potentially hazardous heavy precipitation weather events in the western Mediterranean region. We develop and test three different ensemble prediction systems (EPSs) that account for uncertainties present in both the numerical models and the initial conditions. To generate the EPSs we take advantage of the connection between potential vorticity (PV) structures and cyclones, and use different physical parameterization schemes. We obtain an improvement in forecast skill when using an EPS compared to a determinist forecast. The EPSs generated perturbing the initial conditions perform better in the statistical verification scores. The results of this Thesis show the utility and suitability of forecasting methods based on perturbing the upper-level precursor PV structures present in cyclonic situations. The results and strategies here discussed aim to be a basis for future studies making use of these methods.
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Guo, Dongzhi. "Design, Analysis, Modeling and Testing of a Micro-scale Refrigeration System." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/450.

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Chip scale refrigeration system is critical for the development of electronics with the rapid increase of power consumption and substantial reduction of device size, resulting in an emergent demand on novel cooling technologies with a high efficiency for the thermal management. In this thesis, active refrigeration devices based on Stirling cycle and an electrocaloric material, are designed and investigated to achieve a high cooling performance. Firstly, a new Stirling micro-refrigeration system composed of arrays of silicon MEMS cooling elements is designed and evaluated. The cooling elements are fabricated in a stacked array on a silicon wafer. A regenerator is placed between the compression (hot side) and expansion (cold side) diaphragms, which are driven electrostatically. Under operating conditions, the hot and cold diaphragms oscillate sinusoidally and out of phase such that heat is extracted to the expansion space and released from the compression space. A first-order of thermodynamic analysis is performed to study the effect of geometric parameters. Losses due to regenerator non-idealities and chamber heat transfer limitation are estimated. A multiphysics computational approach for analyzing the system performance that considers compressible flow and heat transfer with a large deformable mesh is demonstrated. The optimal regenerator porosity for the best system COP (coefficient of performance) is identified. To overcome the computational complexity brought about by the fine pillar structure in the regenerator, a porous medium model is used to allow for modeling of a full element. The analysis indicates the work recovery of the system and the diaphragm actuation are main challenges for this cooler design.The pressure drop and friction factor of gas flow across circular silicon micro pillar arrays fabricated by deep reactive ion etch (DRIE) process are investigated. A new correlation that considers the coupled effect of pillar spacing and aspect ratio, is proposed to predict the friction factor in a Reynolds v number range of 1-100. Silicon pillars with large artificial roughness amplitudes is also fabricated, and the effect of the roughness is studied in the laminar flow region. The significant reduction of pressure drop and friction factor indicates that a large artificial roughness could be built for pillar arrays in the regenerator to enhance the micro-cooler efficiency. The second option is to develop a fluid-based refrigeration system using an electrocaloric material poly(vinylidene fluoride-trifluoroethylene-chlorofluoroethylene) [P(VDF-TrFE-CFE)] terpolymer. Each cooling element includes two diaphragm actuators fabricated in the plane of a silicon wafer, which drive a heat transfer fluid back and forth across terpolymer layers that are placed between them. Finite element simulations with an assumption of sinusoidal diaphrahm motions are conducted to explore the system performance detailedly, including the effects of the applied electric field, geometric dimensions, operating frequency and externally-applied temperature span. Multiphysics modeling coupled with solid-fluid interaction, heat transfer, electrostatics, porous medium and moving mesh technique is successfully performed to verify the thermal modeling feasibility. The electrocaloric effect in thin films of P(VDF-TrFE-CFE) terpolymer is directly measured by infrared imaging at ambient conditions. At an electric field of 90 V/μm, an adiabatic temperature change of 5.2 °C is obtained and the material performance is stable over a long testing period. These results suggest that application of this terpolymer is promising for micro-scale refrigeration.
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Eivarsson, Nils, Malin Bohman, Emil Grosfilley, and Axel Lundberg. "Design and Simulation of Terahertz Antenna for Spintronic Applications." Thesis, Uppsala universitet, Institutionen för materialvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412982.

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Spintronics is a spin-electronic field where the electron spinangular momentum, in conjunction with charge, is used to read andwrite information in magnetic sensors and logic circuits, e.g. hard disk drive (HDD), magnetic random access memory (MRAM) and broadband TeraHertz (THz) emitters. To realize the THz operations of the spin logic circuits THz manipulation of the magnetic state is pivotal. This THz manipulation of the magnetic state in anti-ferromagnetic magnetic materials can be realized by coupling the materials with THz antennas. On the other hand, these antennas enhance the THz amplitude of spin-electronic THz emitters when coupled with its output. Therefore, these THz antennas can not only be coupled with the input of magnetic logics to improve the efficiency of magnetic sate manipulation in logic devices but also with the output of the spintronic THz emitters to enhance the generated THz signal amplitude. In this project, we have examined four types of antennas: h-dipole, spiral, bow-tie, and a sub-THz antenna. All the antennas are placed on top of a MgO substrate material for simplicity. However, a bow-tie antenna is also fabricated on an antiferromagnetic substrate of TmFeO3 to check this antenna’s reliability to manipulate its magnetic state. We have studied the impact of antenna geometries on the generated electric field amplitude. We have optimized each antenna for maximum electric field norm profile, with an increase of 30% for the h-dipole and spiral antennas, and an increase of 100% for the bow-tie antenna. However, in this project we were not able to find any general conclusions about what geometrical parameters can further amplify the generated electric field. None of the antennas generated a large enough peak-to-peak electric field amplitude to manipulate the magnetic state of anti-ferromagnetic materials. However, they did successfully amplify the spintronic THz emitter output and could certainly be useful in that regard.
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Books on the topic "Multiphysics design"

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Haddar, Mohamed, Mohamed Slim Abbes, Jean-Yves Choley, Taoufik Boukharouba, Tamer Elnady, Andrei Kanaev, Mounir Ben Amar, and Fakher Chaari, eds. Multiphysics Modelling and Simulation for Systems Design and Monitoring. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14532-7.

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Rosu, Marius, Ping Zhou, Dingsheng Lin, Dan Ionel, Mircea Popescu, Frede Blaabjerg, Vandana Rallabandi, and David Staton. Multiphysics Simulation by Design for Electrical Machines, Power Electronics, and Drives. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119103462.

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Boukharouba, Taoufik, Fakher Chaari, Mohamed Haddar, Mohamed Slim Abbes, Jean-Yves Choley, Tamer Elnady, Andrei Kanaev, and Mounir Ben Amar. Multiphysics Modelling and Simulation for Systems Design and Monitoring: Proceedings of the Multiphysics Modelling and Simulation for Systems Design ... Tunisia. Springer, 2015.

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Boukharouba, Taoufik, Fakher Chaari, Mohamed Haddar, Mohamed Slim Abbes, Jean-Yves Choley, Tamer Elnady, Andrei Kanaev, and Mounir Ben Amar. Multiphysics Modelling and Simulation for Systems Design and Monitoring: Proceedings of the Multiphysics Modelling and Simulation for Systems Design ... Tunisia. Springer, 2016.

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Lee, Jaewook, Tsuyoshi Nomura, and Ercan M. Dede. Multiphysics Simulation: Electromechanical System Applications and Optimization. Springer, 2014.

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Lee, Jaewook, Tsuyoshi Nomura, and Ercan M. Dede. Multiphysics Simulation: Electromechanical System Applications and Optimization. Springer London, Limited, 2014.

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Dede, Ercan M. M., Jaewook Lee, and Tsuyoshi Nomura. Multiphysics Simulation: Electromechanical System Applications and Optimization. Springer, 2016.

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Multiphysics Simulation: Electromechanical System Applications and Optimization. Springer, 2014.

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Haddar, Mohamed, Mohamed Slim Abbes, and Jean-Yves Choley. Multiphysics Modelling and Simulation for Systems Design and Monitoring: Proceedings of the Multiphysics Modelling and Simulation for Systems Design ... MMSSD 2014, 17-19 December, Sousse, Tunisia. Springer, 2015.

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Boukharouba, Taoufik, Mohamed Haddar, Mohamed Slim Abbes, Jean-Yves Choley, and Tamer Elnady. Multiphysics Modelling and Simulation for Systems Design and Monitoring: Proceedings of the Multiphysics Modelling and Simulation for Systems Design Conference, MMSSD 2014, 17-19 December, Sousse, Tunisia. Springer, 2015.

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Book chapters on the topic "Multiphysics design"

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Xu, Liu-Jun, and Ji-Ping Huang. "Theory for Thermoelectric Effect Control: Transformation Nonlinear Thermoelectricity." In Transformation Thermotics and Extended Theories, 35–51. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5908-0_4.

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AbstractTemperature-dependent (nonlinear) transformation thermotics provides a powerful tool for designing multifunctional, switchable, or intelligent metamaterials in diffusion systems. However, its extension to multiphysics remains studied, in which the temperature dependence of intrinsic parameters is ubiquitous. Here, we theoretically establish a temperature-dependent transformation method for controlling multiphysics. Taking thermoelectric transport as a typical case, we prove the form invariance of its temperature-dependent governing equations and formulate the corresponding transformation rules. Our finite-element simulations demonstrate robust thermoelectric cloaking, concentrating, and rotating performance in temperature-dependent backgrounds. We further design two practical applications with temperature-dependent transformation: an ambient-responsive cloak-concentrator thermoelectric device that can switch between cloaking and concentrating; an improved thermoelectric cloak with nearly-thermostat performance inside. Our theoretical frameworks and application designs may provide guidance for efficiently controlling temperature-related multiphysics and enlighten subsequent intelligent multiphysical metamaterial research.
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Vinogradov, K., G. Kretinin, and I. Leshenko. "Robust Multiphysics Optimization of Fan Blade." In Uncertainty Management for Robust Industrial Design in Aeronautics, 583–600. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77767-2_36.

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Richard, S., and N. Magnino. "Use of RD in Multiphysics Applications." In Uncertainty Management for Robust Industrial Design in Aeronautics, 777–83. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77767-2_50.

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Kapuganti, Rajesh. "Design of Medical Device Product Using Multiphysics Simulations." In Lecture Notes on Multidisciplinary Industrial Engineering, 967–72. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9072-3_81.

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Lakshmanan, Vinila Mundakkal, Aparna Kallingal, and Sreepriya Sreekumar. "Optimum Design of Cumene Reactor Using COMSOL Multiphysics Modelling." In Advanced Engineering Optimization Through Intelligent Techniques, 523–32. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9285-8_50.

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Costa, A. M., E. Poiate, C. S. Amaral, A. Pereira, L. F. Martha, M. Gattass, and D. Roehl. "GEOMECHANICS APPLIED TO THE WELL DESIGN THROUGH SALT LAYERS IN BRAZIL: A HISTORY OF SUCCESS." In Multiscale and Multiphysics Processes in Geomechanics, 165–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19630-0_42.

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Costa, Daniele, Giacomo Palmieri, Matteo Palpacelli, and David Scaradozzi. "Design of a Thunniform Swimming Robot in a Multiphysics Environment." In Advances in Service and Industrial Robotics, 257–65. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48989-2_28.

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Alì, Giuseppe, and Andreas Bartel. "A Priori Estimates for Multiphysics Models in Electric Circuit Design." In Progress in Industrial Mathematics at ECMI 2002, 167–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09510-2_19.

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Sharma, Shivashree, and Saroj Yadav. "Numerical Analysis of Fin Heat Transfer in Radiators Using Simulation Software Comsol Multiphysics 5.5." In Sustainable Material, Design, and Process, 143–67. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003242291-7.

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Murthy, K. S. N., M. Siva Kumar, K. Suma Bindu, K. Satyanarayana, D. Sivateja, and G. Sai Hemanth. "Design and Simulation of Implantable Blood Pressure Sensor Using COMSOL Multiphysics." In Advances in Intelligent Systems and Computing, 1119–26. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5903-2_117.

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Conference papers on the topic "Multiphysics design"

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Fu, Jiaping, Jing Jin, Ke Cao, Tengyu Li, Xintong Shi, and Hai Lin. "Two-stage Cognition-driven Multiphysics Optimization for Microwave Filters Design." In 2024 Photonics & Electromagnetics Research Symposium (PIERS), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/piers62282.2024.10618469.

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Zhao, Yuxin, Jiawei Chen, Yuqiang Zhang, and Zhinan Zhang. "Vibration and Noise Reduction Design of EHA Pipeline Based on Multiphysics Coupling." In 2024 2nd International Conference on Design Science (ICDS), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/icds62420.2024.10751696.

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Knoll, Jonathan, Mark Ott, Kevin Cooney, and Michael Seifert. "Multiphysics Simulation of Pylon Fluid-Elastomeric Isolators." In Vertical Flight Society 74th Annual Forum & Technology Display, 1–9. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12878.

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A coupled fluid-structure interaction (FSI) simulation was developed to evaluate a new design feature in the LIVE® vibration isolation system of the 505 Jet Ranger X. Efficient modeling of fluid and elastomeric characteristics is enabled by simplifying the internal fluid boundaries and adjusting fluid compressibility. The approach provides an accurate analysis of the internal loading within the LIVE structure. Computed results substantiate the LIVE design in terms of strength, durability, and component deflection. The FSI simulation also supports dynamic tuning of the LIVE to achieve the target operating frequency. Validation is demonstrated by comparison to laboratory test measurements. Correlation to test results, in terms of fluid pressure, is within 3.5% and correlation to natural frequency is within 5%.
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Mishra, Sandeep, Mayank Jaiswal, Kaustubh Kumar Shukla, Harshit Mittal, Sourabh Dubey, and Bhupendra Kumar Sharma. "Design and Analysis of a Novel Microbattery using Multiphysics based on Artificial Intelligence Applications." In 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/icstsn61422.2024.10671311.

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"Multiphysics/thermal modeling." In 2016 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS). IEEE, 2016. http://dx.doi.org/10.1109/edaps.2016.7893163.

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"Multiphysics for everyone." In 2016 MIXDES - 23rd International Conference "Mixed Design of Integrated Circuits and Systems". IEEE, 2016. http://dx.doi.org/10.1109/mixdes.2016.7529803.

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Manca, Nicolo, Marco Del Sarto, Alex Gritti, Roseanne Duca, and Vincent Mangion. "Package Design for Multiphysics MEMS Sensor." In 2019 18th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm). IEEE, 2019. http://dx.doi.org/10.1109/itherm.2019.8757310.

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Stabile, Alessandro, Guglielmo S. Aglietti, and Guy Richardson. "Electromagnetic damper design using a multiphysics approach." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Wei-Hsin Liao. SPIE, 2015. http://dx.doi.org/10.1117/12.2084031.

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Gambin, Vincent, Benjamin Poust, Dino Ferizovic, Monte Watanabe, Gary Mandrusiak, David Lin, and Thomas Dusseault. "Impingement cooled embedded diamond multiphysics co-design." In 2016 15th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm). IEEE, 2016. http://dx.doi.org/10.1109/itherm.2016.7517729.

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Fallgren, A. J., B. T. Rearden, John Kennedy, Nathan George, Dov Rhodes, Adam Oler, John Pevey, and Josh Payne. "Multiphysics Suite for Design of Small Reactors." In Nuclear and Emerging Technologies for Space (NETS-2022). Illinois: American Nuclear Society, 2022. http://dx.doi.org/10.13182/nets22-38734.

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Reports on the topic "Multiphysics design"

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Goldring, Nicholas, David Bruhwiler, Boaz Nash, Zhigang Wu, Robert Nagler, Jason Carter, Jason Lerch, et al. Multiphysics Design and Optimization of Complex Vacuum Chambers. Office of Scientific and Technical Information (OSTI), June 2020. http://dx.doi.org/10.2172/1635367.

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Ade, Brian, Briana Hiscox, Emilian Popov, Richard Archibald, Nate See, and Vladimir Sobes. Artificial Intelligence for Multiphysics Nuclear Design Optimization with Additive Manufacturing. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1866700.

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Robinson, Dean. IMPACT: Design of Integrated Multiphysics Producible Additive Components for Turbomachinery. Office of Scientific and Technical Information (OSTI), May 2024. http://dx.doi.org/10.2172/2373076.

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Parra-Alvarez, Milo, Malik Hassanaly, Mohammad Rahimi, and Hariswaran Sitaraman. Multiphysics Computational Fluid Dynamics for Design and Scale-Up of CO2/Syngas Bioreactors. Office of Scientific and Technical Information (OSTI), December 2023. http://dx.doi.org/10.2172/2274814.

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Lee, Changho, Yeon Jung, Zhaopeng Zhong, Javier Ortensi, Vincent Laboure, and Yaqi Wang. Assessment of the Griffin Reactor Multiphysics Application Using the Empire Micro Reactor Design Concept. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1648116.

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Lee, Changho, Yeon Jung, Zhaopeng Zhong, Javier Ortensi, Vincent Laboure, and Yaqi Wang. Assessment of the Griffin Reactor Multiphysics Application Using the Empire Micro Reactor Design Concept. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1833008.

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Dunn, Martin L. Topology Optimization for the Design of 3-D Microelectromechanical Systems (MEMS) Undergoing Coupled Multiphysics Phenomena. Fort Belvoir, VA: Defense Technical Information Center, November 2004. http://dx.doi.org/10.21236/ada438436.

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Becker, R., M. McElfresh, C. Lee, R. Balhorn, and D. White. Multiscale Modeling of Nano-scale Phenomena: Towards a Multiphysics Simulation Capability for Design and Optimization of Sensor Systems. Office of Scientific and Technical Information (OSTI), December 2003. http://dx.doi.org/10.2172/15013766.

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Apostolatos, A., R. Rossi, and C. Soriano. D7.2 Finalization of "deterministic" verification and validation tests. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.006.

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This deliverable focus on the verification and validation of the solvers of Kratos Multiphysics which are used within ExaQUte. These solvers comprise standard body-fitted approaches and novel embedded approaches for the Computational Fluid Dynamics (CFD) simulations carried out within ExaQUte. Firstly, the standard body-fitted CFD solver is validated on a benchmark problem of high rise building - CAARC benchmark and subsequently the novel embedded CFD solver is verified against the solution of the body-fitted solver. Especially for the novel embedded approach, a workflow is presented on which the exact parameterized Computer-Aided Design (CAD) model is used in an efficient manner for the underlying CFD simulations. It includes: A note on the space-time methods Verification results for the body-fitted solver based on the CAARC benchmark Workflow consisting of importing an exact CAD model, tessellating it and performing embedded CFD on it Verification results for the embedded solver based on a high-rise building API definition and usage
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