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Artykuły w czasopismach na temat „Multi-physics processes”

Autor: Grafiati

Data publikacji: 6 września 2023

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Cross, M., T. N. Croft, A. K. Slone, et al. "Computational Modelling of Multi-Physics and Multi-Scale Processes in Parallel." International Journal for Computational Methods in Engineering Science and Mechanics 8, no. 2 (2007): 63–74. http://dx.doi.org/10.1080/15502280601149510.

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Michel, A., H. Stang, M. Lepech, and M. R. Geiker. "Multi-Physics and Multi-Scale Deterioration Modelling of Reinforced Concrete." Key Engineering Materials 665 (September 2015): 13–16. http://dx.doi.org/10.4028/www.scientific.net/kem.665.13.

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Deterioration of reinforced concrete infrastructure such as bridges, tunnels, and buildings represents one of the major challenges currently facing developed countries. While engineering tools and methods for structural modelling and design of new reinforced concrete infrastructure are mature, methods and tools for modelling decades-long deterioration and maintenance are much less developed. In this paper, a multi-physics and multi-scale modelling approach for structural deterioration of reinforced concrete components due to reinforcement corrosion is presented. The multi-disciplinary modelling approach includes physical, chemical, electrochemical, and fracture mechanical processes at the material and meso-scale, which are further coupled with mechanical deterioration processes at the structural scale.

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Cleeman, Jeremy, Kian Agrawala, Evan Nastarowicz, and Rajiv Malhotra. "Partial-physics-informed multi-fidelity modeling of manufacturing processes." Journal of Materials Processing Technology 320 (November 2023): 118125. http://dx.doi.org/10.1016/j.jmatprotec.2023.118125.

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Vasenkov, Alex V. "Multi-physics Peridynamic Modeling of Damage Processes in Protective Coatings." Journal of Peridynamics and Nonlocal Modeling 3, no. 2 (2021): 167–83. http://dx.doi.org/10.1007/s42102-020-00046-7.

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Tao, W. K., D. Anderson, J. Chern, et al. "The Goddard multi-scale modeling system with unified physics." Annales Geophysicae 27, no. 8 (2009): 3055–64. http://dx.doi.org/10.5194/angeo-27-3055-2009.

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Abstract. Recently, a multi-scale modeling system with unified physics was developed at NASA Goddard. It consists of (1) a cloud-resolving model (CRM), (2) a regional-scale model, the NASA unified Weather Research and Forecasting Model (WRF), and (3) a coupled CRM-GCM (general circulation model, known as the Goddard Multi-scale Modeling Framework or MMF). The same cloud-microphysical processes, long- and short-wave radiative transfer and land-surface processes are applied in all of the models to study explicit cloud-radiation and cloud-surface interactive processes in this multi-scale modeling system. This modeling system has been coupled with a multi-satellite simulator for comparison and validation with NASA high-resolution satellite data. This paper reviews the development and presents some applications of the multi-scale modeling system, including results from using the multi-scale modeling system to study the interactions between clouds, precipitation, and aerosols. In addition, use of the multi-satellite simulator to identify the strengths and weaknesses of the model-simulated precipitation processes will be discussed as well as future model developments and applications.

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Amirante, Dario, Vlad Ganine, Nicholas J. Hills, and Paolo Adami. "A Coupling Framework for Multi-Domain Modelling and Multi-Physics Simulations." Entropy 23, no. 6 (2021): 758. http://dx.doi.org/10.3390/e23060758.

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This paper describes a coupling framework for parallel execution of different solvers for multi-physics and multi-domain simulations with an arbitrary number of adjacent zones connected by different physical or overlapping interfaces. The coupling architecture is based on the execution of several instances of the same coupling code and relies on the use of smart edges (i.e., separate processes) dedicated to managing the exchange of information between two adjacent regions. The collection of solvers and coupling sessions forms a flexible and modular system, where the data exchange is handled by independent servers that are dedicated to a single interface connecting two solvers’ sessions. Accuracy and performance of the strategy is considered for turbomachinery applications involving Conjugate Heat Transfer (CHT) analysis and Sliding Plane (SP) interfaces.

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Surana, Karan S., Yongting Ma, Albert Romkes, and J. N. Reddy. "Development of Mathematical Models and Computational Framework for Multi-physics Interaction Processes." Mechanics of Advanced Materials and Structures 17, no. 7 (2010): 488–508. http://dx.doi.org/10.1080/15376494.2010.509192.

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Samtaney, R., B. van Straalen, P. Colella, and S. C. Jardin. "Adaptive mesh simulations of multi-physics processes during pellet injection in tokamaks." Journal of Physics: Conference Series 78 (July 1, 2007): 012062. http://dx.doi.org/10.1088/1742-6596/78/1/012062.

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CROSS, M. "Modelling of industrial multi-physics processes--a key role for computational mechanics." IMA Journal of Management Mathematics 7, no. 1 (1996): 3–21. http://dx.doi.org/10.1093/imaman/7.1.3-a.

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Srivastava, Shekhar, Rajiv Kumar Garg, Vishal S. Sharma, et al. "Multi-physics continuum modelling approaches for metal powder additive manufacturing: a review." Rapid Prototyping Journal 26, no. 4 (2020): 737–64. http://dx.doi.org/10.1108/rpj-07-2019-0189.

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Purpose This paper aims to present a systematic approach in the literature survey related to metal additive manufacturing (AM) processes and its multi-physics continuum modelling approach for its better understanding. Design/methodology/approach A systematic review of the literature available in the area of continuum modelling practices adopted for the powder bed fusion (PBF) AM processes for the deposition of powder layer over the substrate along with quantification of residual stress and distortion. Discrete element method (DEM) and finite element method (FEM) approaches have been reviewed for the deposition of powder layer and thermo-mechanical modelling, respectively. Further, thermo-mechanical modelling adopted for the PBF AM process have been discussed in detail with its constituents. Finally, on the basis of prediction through thermo-mechanical models and experimental validation, distortion mitigation/minimisation techniques applied in PBF AM processes have been reviewed to provide a future direction in the field. Findings The findings of this paper are the future directions for the implementation and modification of the continuum modelling approaches applied to PBF AM processes. On the basis of the extensive review in the domain, gaps are recommended for future work for the betterment of modelling approach. Research limitations/implications This paper is limited to review only the modelling approach adopted by the PBF AM processes, i.e. modelling techniques (DEM approach) used for the deposition of powder layer and macro-models at process scale for the prediction of residual stress and distortion in the component. Modelling of microstructure and grain growth has not been included in this paper. Originality/value This paper presents an extensive review of the FEM approach adopted for the prediction of residual stress and distortion in the PBF AM processes which sets the platform for the development of distortion mitigation techniques. An extensive review of distortion mitigation techniques has been presented in the last section of the paper, which has not been reviewed yet.

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Valentine, Timothy, Maria Avramova, Michael Fleming, et al. "OVERVIEW OF THE OECD-NEA EXPERT GROUP ON MULTI-PHYSICS EXPERIMENTAL DATA, BENCHMARKS AND VALIDATION." EPJ Web of Conferences 247 (2021): 06048. http://dx.doi.org/10.1051/epjconf/202124706048.

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The OECD Nuclear Energy Agency (NEA) Nuclear Science Committee (NSC) established the Expert Group on Multi-physics Experimental Data, Benchmarks and Validation (EGMPEBV) in 2014 to bridge the gap between advanced, multi-physics simulation capabilities and the relatively low availability of dedicated, high-fidelity experimental data and benchmarks specifically for multi-physics modelling and simulation tools. The EGMPEBV was mandated to establish mechanisms for the certification of experimental data and benchmark models and to establish the processes and procedures for the validation of multi-physics modelling and simulation tools. The EGMPEBV oversees three task forces, covering (1) experimental data qualification and benchmark evaluation, (2) validation guidelines and needs and (3) example application of validation experiments. These have generated numerous reports surveying the state-of-the-art in multi-physics validation, challenge areas and recommendations for the evaluation of multi-physics benchmarks, while in parallel developing the specifications for multi-physics benchmarks. Three benchmark specifications are in active development, including a reactivity compensation scenario in the Rostov Unit 2 VVER-1000, multi-cycle depletion of the TVA Watts Bar Unit 1 and study of pellet cladding mechanical interaction within ramp tests performed at the Studsvik R2 reactor. We provide an overview of the recent progress in these areas and a summary of the future activities of the EGMPEBV in establishing international multi-physics benchmarks.

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Yamashita, Susumu, Tomonori Yamada, Yukihiro Yonemoto, Tomoaki Kunugi, and Toshiharu Muramatsu. "ICONE19-43939 Phenomenological evaluation of laser-irradiated welding processes with a combined use of higher-accuracy experiments and computational science methodologies : (5) Numerical simulation of the welding processes with a multi-dimensional multi-physics analysis code SPLICE." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_349.

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JACKSON, B., YONGSEOK OH, H. HABERZETTL та K. NAKAYAMA. "ANALYSIS OF $\bar{K}$- AND γ-INDUCED Ξ RESONANCE PRODUCTION PROCESSES". International Journal of Modern Physics: Conference Series 26 (січень 2014): 1460099. http://dx.doi.org/10.1142/s2010194514600994.

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In anticipation of the multi-strangeness physics program planned at major laboratories — such as J-PARC, JLab and SPring-8 — we investigate the Ξ resonance production off the nucleon in [Formula: see text]- and γ-induced reactions.

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Becher, Thomas, Matthias Neubert, Lorena Rothen, and Ding Yu Shao. "Factorization and resummation for jet processes." Journal of High Energy Physics 2016, no. 11 (2016): 1–61. http://dx.doi.org/10.1007/jhep11(2016)019.

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Abstract From a detailed analysis of cone-jet cross sections in effective field theory, we obtain novel factorization theorems which separate the physics associated with different energy scales present in such processes. The relevant low-energy physics is encoded in Wilson lines along the directions of the energetic particles inside the jets. This multi-Wilson-line structure is present even for narrow-cone jets due to the relevance of small-angle soft radiation. We discuss the renormalization-group equations satisfied by these operators. Their solution resums all logarithmically enhanced contributions to such processes, including non-global logarithms. Such logarithms arise in many observables, in particular whenever hard phase-space constraints are imposed, and are not captured with standard resummation techniques. Our formalism provides the basis for higher-order logarithmic resummations of jet and other non-global observables. As a nontrivial consistency check, we use it to obtain explicit two-loop results for all logarithmically enhanced terms in cone-jet cross sections and verify those against numerical fixed-order computations.

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Mackenzie, D., H. Li, and R. Hamilton. "Multi-physics Models for Friction Stir Welding Simulation." NAFEMS International Journal of CFD Case Studies 10 (March 2013): 19–30. http://dx.doi.org/10.59972/fkwes73g.

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Friction stir welding (FSW) is a solid-state welding technology for joining a range of metals and alloys. The FSW joining process involves several coupled non-linear phenomena including; frictional heating, large plastic deformation, material transportation and dissipative heating. Numerical simulation of the process may include some or all of these physical processes, depending on the objective of the analysis. This paper gives an overview of two continuum solid mechanics FSW simulation models of differing complexity. The first model is a simplified ANSYS thermo-mechanical finite element model with an externally applied heat source simulating frictional and dissipative heating. The model can be used to quickly evaluate temperature, stress and deformation of the welded plate for a specified heat input. The second model is an ABAQUS/EXPLICIT Arbitrary Lagrangian-Eulerian (ALE) model of the complete FSW process: plunge, dwell, travel and withdraw. The model simulates coupled frictional heating, plastic dissipation, transient heat transfer and solid-state material flow. The results obtained for transient temperature distribution, material flow, residual stress and strain, etc. are found to be consistent with experimental observations.

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Pritchard, David M. W., Nathan Forsythe, Greg O'Donnell, Hayley J. Fowler, and Nick Rutter. "Multi-physics ensemble snow modelling in the western Himalaya." Cryosphere 14, no. 4 (2020): 1225–44. http://dx.doi.org/10.5194/tc-14-1225-2020.

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Abstract. Combining multiple data sources with multi-physics simulation frameworks offers new potential to extend snow model inter-comparison efforts to the Himalaya. As such, this study evaluates the sensitivity of simulated regional snow cover and runoff dynamics to different snowpack process representations. The evaluation is based on a spatially distributed version of the Factorial Snowpack Model (FSM) set up for the Astore catchment in the upper Indus basin. The FSM multi-physics model was driven by climate fields from the High Asia Refined Analysis (HAR) dynamical downscaling product. Ensemble performance was evaluated primarily using MODIS remote sensing of snow-covered area, albedo and land surface temperature. In line with previous snow model inter-comparisons, no single FSM configuration performs best in all of the years simulated. However, the results demonstrate that performance variation in this case is at least partly related to inaccuracies in the sequencing of inter-annual variation in HAR climate inputs, not just FSM model limitations. Ensemble spread is dominated by interactions between parameterisations of albedo, snowpack hydrology and atmospheric stability effects on turbulent heat fluxes. The resulting ensemble structure is similar in different years, which leads to systematic divergence in ablation and mass balance at high elevations. While ensemble spread and errors are notably lower when viewed as anomalies, FSM configurations show important differences in their absolute sensitivity to climate variation. Comparison with observations suggests that a subset of the ensemble should be retained for climate change projections, namely those members including prognostic albedo and liquid water retention, refreezing and drainage processes.

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Bao-Min, Liu, and Mui Y. C. "Multi-Physics Simulation of a Microprocessor Package Under Water Cooling." Journal of Electronic Packaging 126, no. 3 (2004): 384–89. http://dx.doi.org/10.1115/1.1774197.

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Simulation tools today are well developed and make it possible to study more than one physical phenomena in the engineering processes. In this paper, a multi-physics simulation was performed to investigate the thermal, hydraulic and stress behavior of a flip-chip microprocessor package and a water-cooling thermal system. The distribution of the temperature, velocity, pressures, and stress inside the integrated circuit (IC) package and the water jacket was predicted and analyzed. The thermal resistance, Rjw, was defined and calculated to evaluate the overall thermal performance. The difference between the numerically predicted Rjw and the experimental result is within 10%. Thermal and hydraulic parametric studies were performed on the parameters such as the water flow rate, the die size, the channel height, and the base thickness of the water jacket. The impact of heater was also investigated to optimize the heater efficiency under different thermal contact between the IC package and the thermal head. Stress simulation was performed on the heater plate and the IC package subject to the temperature profile. The thermal stress and deformation were found to be at safe level under the given conditions. The results show that the use of multi-physics simulation and analysis can provide a deeper insight of complex processes, as well as to investigate the key parameters for system optimization. The numerical approach can reduce the risk and uncertainties at design stage as well as improve the system performance at the production stage.

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Dąbrowski, M., M. Parniak, D. Pęcak, R. Chrapkiewicz, and W. Wasilewski. "Spontaneuos and Parametric Processes in Warm Rubidium Vapours." Latvian Journal of Physics and Technical Sciences 51, no. 5 (2014): 21–34. http://dx.doi.org/10.2478/lpts-2014-0028.

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Abstract Warm rubidium vapours are known to be a versatile medium for a variety of experiments in atomic physics and quantum optics. Here we present experimental results on producing the frequency converted light for quantum applications based on spontaneous and stimulated processes in rubidium vapours. In particular, we study the efficiency of spontaneously initiated stimulated Raman scattering in the Λ-level configuration and conditions of generating the coherent blue light assisted by multi-photon transitions in the diamond-level configuration. Our results will be helpful in search for new types of interfaces between light and atomic quantum memories.

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Bayat, Mohamad, Wen Dong, Jesper Thorborg, Albert C. To, and Jesper H. Hattel. "A review of multi-scale and multi-physics simulations of metal additive manufacturing processes with focus on modeling strategies." Additive Manufacturing 47 (November 2021): 102278. http://dx.doi.org/10.1016/j.addma.2021.102278.

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Díaz-Zuccarini, Vanessa, and César Pichardo-Almarza. "On the formalization of multi-scale and multi-science processes for integrative biology." Interface Focus 1, no. 3 (2011): 426–37. http://dx.doi.org/10.1098/rsfs.2010.0038.

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The aim of this work is to introduce the general concept of ‘Bond Graph’ (BG) techniques applied in the context of multi-physics and multi-scale processes. BG modelling has a natural place in these developments. BGs are inherently coherent as the relationships defined between the ‘elements’ of the graph are strictly defined by causality rules and power (energy) conservation. BGs clearly show how power flows between components of the systems they represent. The ‘effort’ and ‘flow’ variables enable bidirectional information flow in the BG model. When the power level of a system is low, BGs degenerate into signal flow graphs in which information is mainly one-dimensional and power is minimal, i.e. they find a natural limitation when dealing with populations of individuals or purely kinetic models, as the concept of energy conservation in these systems is no longer relevant. The aim of this work is twofold: on the one hand, we will introduce the general concept of BG techniques applied in the context of multi-science and multi-scale models and, on the other hand, we will highlight some of the most promising features in the BG methodology by comparing with examples developed using well-established modelling techniques/software that could suggest developments or refinements to the current state-of-the-art tools, by providing a consistent framework from a structural and energetic point of view.

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Gu, Heng, Chao Wei, Lin Li, et al. "Multi-physics modelling of molten pool development and track formation in multi-track, multi-layer and multi-material selective laser melting." International Journal of Heat and Mass Transfer 151 (April 2020): 119458. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2020.119458.

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Carrazza, Stefano, Juan Cruz-Martinez, Marco Rossi, and Marco Zaro. "MadFlow: towards the automation of Monte Carlo simulation on GPU for particle physics processes." EPJ Web of Conferences 251 (2021): 03022. http://dx.doi.org/10.1051/epjconf/202125103022.

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In this proceedings we present MadFlow, a new framework for the automation of Monte Carlo (MC) simulation on graphics processing units (GPU) for particle physics processes. In order to automate MC simulation for a generic number of processes, we design a program which provides to the user the possibility to simulate custom processes through the Mad-Graph5_aMC@NLO framework. The pipeline includes a first stage where the analytic expressions for matrix elements and phase space are generated and exported in a GPU-like format. The simulation is then performed using the VegasFlow and PDFFlow libraries which deploy automatically the full simulation on systems with different hardware acceleration capabilities, such as multi-threading CPU, single-GPU and multi-GPU setups. We show some preliminary results for leading-order simulations on different hardware configurations.

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Jiang, Chuanhui, Yi Jin, Shi-Yuan Li, Yan-Rui Liu, and Zong-Guo Si. "Tcs and Tcs¯ Family Production in Multi-Production Processes." Symmetry 15, no. 3 (2023): 695. http://dx.doi.org/10.3390/sym15030695.

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The production mechanism of multiquark exotic hadrons in high energy multiproduction processes lies in the structure of the relevant exotic hadrons as well as in some important aspects of high energy scattering, such as multi-parton interactions, underlying events, etc. At mass pole around 2900 MeV, a family of open charm tetraquarks, Tcss and Tcs¯s, are observed in B decay. They are also suitable for study in multiproduction processes to obtain more information on their structure. If these resonances are produced as compact four-quark states, one can predict the production properties based on the similarities in their production mechanism to those of Ξc, Σc, and Λc. Physics implies that the colour and baryon number fluctuations of the preconfinement system in high energy scattering can enhance both the baryon and four-quark state production rates via ‘diquark fragmentation’. We calculate the production properties of the tetraquark family Tcss and Tcs¯s at LHC energy for the forthcoming LHC measurements.

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Lin, Yan-Hui, Yan-Fu Li, and Enrico Zio. "Integrating Random Shocks Into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment." IEEE Transactions on Reliability 64, no. 1 (2015): 154–66. http://dx.doi.org/10.1109/tr.2014.2354874.

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Schumacher, Shane C., and Melvin R. Baer. "Generalized continuum mixture theory for multi-material shock physics." International Journal of Multiphase Flow 144 (November 2021): 103790. http://dx.doi.org/10.1016/j.ijmultiphaseflow.2021.103790.

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Piro, Luigi. "Multi-messenger science with Athena and Future Multi-messenger Observatories." Proceedings of the International Astronomical Union 16, S363 (2020): 135–48. http://dx.doi.org/10.1017/s1743921322002009.

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AbstractScientific synergies between Athena and some of the key multi-messenger facilities that should be operative concurrently with Athena are presented. These facilities include LIGO A+, Advanced Virgo+ and future detectors for ground-based observation of gravitational waves (GW), LISA for space-based observations of GW, IceCube and KM3NeT for neutrino observations, CTA for very high energy observations. Multimessenger synergy science themes discussed here include pressing issues in the field of Astrophysics, Cosmology and Fundamental physics such as: the central engine and jet physics in compact binary mergers, accretion processes and jet physics in SMBBHs and in compact stellar binaries, the equation of state in neutron stars, cosmic accelerators and the origin of cosmic rays, the origin of intermediate and high-Z elements in the Universe, the Cosmic distance scale and tests of General Relativity and Standard Model. Observational strategies for implementing the identified science topics are also discussed.

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Regenauer-Lieb, Klaus, Manman Hu, Christoph Schrank, et al. "Cross-diffusion waves resulting from multiscale, multi-physics instabilities: theory." Solid Earth 12, no. 4 (2021): 869–83. http://dx.doi.org/10.5194/se-12-869-2021.

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Abstract. We propose a multiscale approach for coupling multi-physics processes across the scales. The physics is based on discrete phenomena, triggered by local thermo-hydro-mechano-chemical (THMC) instabilities, that cause cross-diffusion (quasi-soliton) acceleration waves. These waves nucleate when the overall stress field is incompatible with accelerations from local feedbacks of generalized THMC thermodynamic forces that trigger generalized thermodynamic fluxes of another kind. Cross-diffusion terms in the 4×4 THMC diffusion matrix are shown to lead to multiple diffusional P and S wave equations as coupled THMC solutions. Uncertainties in the location of meso-scale material instabilities are captured by a wave-scale correlation of probability amplitudes. Cross-diffusional waves have unusual dispersion patterns and, although they assume a solitary state, do not behave like solitons but show complex interactions when they collide. Their characteristic wavenumber and constant speed define mesoscopic internal material time–space relations entirely defined by the coefficients of the coupled THMC reaction–cross-diffusion equations. A companion paper proposes an application of the theory to earthquakes showing that excitation waves triggered by local reactions can, through an extreme effect of a cross-diffusional wave operator, lead to an energy cascade connecting large and small scales and cause solid-state turbulence.

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Michael, Louisa, Stephen T. Millmore, and Nikolaos Nikiforakis. "A Multi-physics Methodology for Four States of Matter." Communications on Applied Mathematics and Computation 2, no. 3 (2019): 487–514. http://dx.doi.org/10.1007/s42967-019-00047-4.

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Abstract We propose a numerical methodology for the simultaneous numerical simulation of four states of matter: gas, liquid, elastoplastic solids, and plasma. The distinct, interacting physical processes are described by a combination of compressible, inert, and reactive forms of the Euler equations, multi-phase equations, elastoplastic equations, and resistive MHD equations. Combinations of systems of equations are usually solved by coupling finite element for solid modelling and CFD models for fluid modelling or including material effects through boundary conditions rather than full material discretisation. Our simultaneous solution methodology lies on the recasting of all the equations in the same, hyperbolic form allowing their solution on the same grid with the same finite volume numerical schemes. We use a combination of sharp- and diffuse-interface methods to track or capture material interfaces, depending on the application. The communication between the distinct systems of equations (i.e., materials separated by sharp interfaces) is facilitated by means of mixed-material Riemann solvers at the boundaries of the systems, which represent physical material boundaries. To this end, we derive approximate mixed-material Riemann solvers for each pair of the above models based on characteristic equations. To demonstrate the applicability of the new methodology, we consider a case study, where we investigate the possibility of ignition of a combustible gas that lies over a liquid in a metal container that is struck by a plasma arc akin to a lightning strike. We study the effect of the metal container material and its conductivity on the ignition of the combustible gas, as well as the effects of an additional dielectric coating, the sensitivity of the gas, and differences between scenarios with sealed and pre-damaged metal surfaces.

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Siddiqui, Mohammed Abdul Qadeer, Adelina Lv, Klaus Regenauer-Lieb, and Hamid Roshan. "A novel experimental system for measurement of coupled multi-physics-induced surface alteration processes in geomaterials." Measurement 166 (December 2020): 108211. http://dx.doi.org/10.1016/j.measurement.2020.108211.

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Ogata, Sho. "Development of multi-physics numerical simulator for describing coupled thermal-hydraulicmechanical-chemical processes within fractured rocks." Proceedings of the Materials and Mechanics Conference 2022 (2022): GS0212. http://dx.doi.org/10.1299/jsmemm.2022.gs0212.

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Oppen, Dominic, Lisa M. Berger, Monika Gibis, and Jochen Weiss. "Sensory Texture and Mastication Physics of Multi-Phase Meat Products." Applied Sciences 12, no. 21 (2022): 11076. http://dx.doi.org/10.3390/app122111076.

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Food products often consist of several phases. Comminuted meat products, for example, are multiphase systems consisting of structured meat particles and unstructured batter-like substance. To develop and understand the processing of these products, it is important to understand the sensory and mechanical perception principles. To this end, two-phase food prototypes consisting of mixtures of ground beef and beef batter were prepared and subjected to sensory, texture, and oral processing analysis. The oral processing analysis focused on the biomechanical data of the chewing process, namely the kinematics of jaw movement and electromyographic activity. The ground meat served as the anisotropic phase and the meat dough as the isotropic phase. A significant increase in muscle activity, duration per bite, and occlusion time with increasing proportion of fibrous particles was demonstrated (p < 0.05). In contrast, a higher proportion of isotropic substance resulted in significantly higher amplitudes of jaw movement and faster jaw kinetics (p < 0.05). In mixed regimes, the system responded mainly according to the dominant phase, with sensory or mechanical response changing at a critical point. In combination with texture and sensory data, a holistic characterization of the food models could be performed.

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Haussener, Sophia. "(Invited) Multi-Scale and Multi-Physics Modeling for Advancing Photoelectrochemical and Photocatalytic Material and Device Research." ECS Meeting Abstracts MA2018-01, no. 31 (2018): 1856. http://dx.doi.org/10.1149/ma2018-01/31/1856.

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Modelling can efficiently support the choice of the most interesting conceptual design approaches, material choices, and operating conditions for photoelectrochemical and photocatalytic devices. Here, I will discuss modeling of three different ideas for versatile and cheap solar hydrogen and syngas production: i) photocatalytic particle suspended in a solution, ii) semiconductor particle-based photoelectrodes (PEs) fabricated by scalable dipping procedures, and iii) high-temperature approaches to photoelectrochemistry. Modeling of scalable photocatalysis suspensions require understanding of the single particle band energetics and kinetics and coupling it to the heat, mass and charge transport processes in a complete suspension. I will show how we use and couple 1D single particle models and 2D suspension simulations to provide material and design guidance of photocatalytic suspension approaches. Modeling of complicated particle-based PEs, on the other hand, requires full 3D multi-scale device models accounting for the morphological details of the nano-scale and then coupling them through homogenization theory to the macroscopic device model. I will show how we utilized nano-tomography to obtain the exact nano-scale morphology and how this morphology is incorporated into direct pore-level modeling to predict inhomogeneity in the variable fields and corresponding underutilization of parts of the PE. Finally, I will show how we use advanced 2D heat transfer models and detailed 1D junction models for mixed electron and ion conductor interfaces to model and explore high temperature approaches to photoelectrochemistry. I will end with a general outlook on modeling of photo-driven devices.

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Settanta, Giulio. "JUNO Non-oscillation Physics." Journal of Physics: Conference Series 2156, no. 1 (2021): 012109. http://dx.doi.org/10.1088/1742-6596/2156/1/012109.

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Abstract The JUNO observatory, a 20 kt liquid scintillator detector to be completed in 2021 in China, belongs to the next-generation of neutrino detectors, which share the common features of having a multi-ton scale and an energy resolution at unprecedented levels. Beside the ambitious goal of neutrino mass ordering determination, the JUNO Collaboration plans also to perform a wide series of other measurements in the neutrino and astroparticle fields, rare processes and searches for new physics. The detector characteristics will allow the detection of neutrinos from many sources, like supernovae, the Sun, atmospheric and geoneutrinos. Other potential studies accessible to JUNO include the search for exotic processes, such as nucleon decays, Dark Matter and magnetic monopoles interactions, light sterile neutrinos production. This work reviews the physics potential of JUNO about non-reactor neutrino sources, highlighting the unique contributions that the experiment will give to the various fields in the forthcoming years.

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Kou, Jisheng, Shuyu Sun, and Bo Yu. "Multiscale Time-Splitting Strategy for Multiscale Multiphysics Processes of Two-Phase Flow in Fractured Media." Journal of Applied Mathematics 2011 (2011): 1–24. http://dx.doi.org/10.1155/2011/861905.

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The temporal discretization scheme is one important ingredient of efficient simulator for two-phase flow in the fractured porous media. The application of single-scale temporal scheme is restricted by the rapid changes of the pressure and saturation in the fractured system with capillarity. In this paper, we propose a multi-scale time splitting strategy to simulate multi-scale multi-physics processes of two-phase flow in fractured porous media. We use the multi-scale time schemes for both the pressure and saturation equations; that is, a large time-step size is employed for the matrix domain, along with a small time-step size being applied in the fractures. The total time interval is partitioned into four temporal levels: the first level is used for the pressure in the entire domain, the second level matching rapid changes of the pressure in the fractures, the third level treating the response gap between the pressure and the saturation, and the fourth level applied for the saturation in the fractures. This method can reduce the computational cost arisen from the implicit solution of the pressure equation. Numerical examples are provided to demonstrate the efficiency of the proposed method.

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Ridolfi, Maria Rita. "The Formation of the Solidification Microstructure from Liquid Metal in Industrial Processes." Materials Science Forum 884 (January 2017): 115–31. http://dx.doi.org/10.4028/www.scientific.net/msf.884.115.

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This paper focuses on the role played by the liquid metal management on the solidification microstructure in industrial solidification processes. In particular attention is paid to the elimination of solidification defects by governing the microstructure evolution through fluid-dynamics and heat and mass transport in the liquid. The formation of hot tearing and gas porosities as well as columnar and equiaxed microstructures and micro and macro segregation are analyzed to explain how the liquid management is used to avoid defects. Examples on continuous casting and welding are also included.A very powerful tool for dealing with the complex phenomena associated with the solidification process is numerical modeling. Its increasingly growing use contemplates fluid-dynamics of the liquid phase, mass transport of solutes and solid-liquid interface evolution. Models using phase field and volume-averaging techniques, as well as models integrating multi-physics and multi-scale phenomena, are described as their use is taking on increasing importance in the design of solidification processes.

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Fornalski, Krzysztof W., and Ludwik Dobrzyński. "Modeling of single cell cancer transformation using phase transition theory: application of the Avrami equation." Radiation and Environmental Biophysics 61, no. 1 (2021): 169–75. http://dx.doi.org/10.1007/s00411-021-00948-0.

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AbstractThe nucleation and growth theory, described by the Avrami equation (also called Johnson–Mehl–Avrami–Kolmogorov equation), and usually used to describe crystallization and nucleation processes in condensed matter physics, was applied in the present paper to cancer physics. This can enhance the popular multi-hit model of carcinogenesis to volumetric processes of single cell’s DNA neoplastic transformation. The presented approach assumes the transforming system as a DNA chain including many oncogenic mutations. Finally, the probability function of the cell’s cancer transformation is directly related to the number of oncogenic mutations. This creates a universal sigmoidal probability function of cancer transformation of single cells, as observed in the kinetics of nucleation and growth, a special case of a phase transition process. The proposed model, which represents a different view on the multi-hit carcinogenesis approach, is tested on clinical data concerning gastric cancer. The results also show that cancer transformation follows DNA fractal geometry.

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Любовь Владимировна, Левина,, Марахова, Ирина Игоревна, and Пеньков, Виктор Борисович. "Implementation of iterative processes by the energy method." Вестник Чувашского государственного педагогического университета им. И.Я. Яковлева. Серия: Механика предельного состояния, no. 4(54) (January 17, 2023): 82–94. http://dx.doi.org/10.37972/chgpu.2022.54.4.008.

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Рассмотрены итерационные процессы для решения краевых задач математической физики и, в первую очередь, - механики. Причины порождения процессов: многополостность тел (алгоритм Шварца), композиционные среды, построение аналитических решений, физическая и геометрическая нелинейность определяющих соотношений (подход ЛинштедтаПуанкаре). Оценены особенности энергетического метода граничных состояний в этих подходах. В качестве примера рассмотрено применение алгоритма Шварца к решению основной смешанной задачи термостатики Iterative processes for solving boundary value problems of mathematical physics and, first of all, mechanics are considered. The reasons for the generation of processes: multi-plane bodies (Schwartz algorithm), compositional media, the construction of analytical solutions, physical and geometric nonlinearity of the defining relations (Linstedt-Poincare approach). The features of the energy method of boundary states in these approaches are evaluated. As an example, the application of the Schwartz algorithm to the solution of the main mixed problem of thermostatics is considered.

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Jiang, Tianchi, and Weijun Zhang. "Numerical Simulation of Multi-Physics Fields in Fused Magnesia Furnace." Metals 13, no. 1 (2022): 39. http://dx.doi.org/10.3390/met13010039.

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In this paper, a 3D transient multi-physical field model is developed to capture the complex processes inside a fused magnesia furnace. The multi-physics model integrates electromagnetism, thermodynamics, decomposition reactions, and flow. The three-phase submerged magnesia furnace includes an arc, magnesite ores, a melting pool, and a solidification ingot. For a more comprehensive analysis of the optimal design of industrial operations, the influence of the key index of electrode insertion depth on temperature and reaction is also discussed. The results show that the current density in the fused magnesia furnace is almost the same as the joule heat distribution, and there is an obvious area of low energy density affected by the skin effect, which leads to the waste of electric energy. The temperature at the center of the arc reaches 12,000 K, and the plasma areas formed at the end of the three electrodes are connected to each other to form a closed current path, which provides energy for the process of melting magnesia. The arc region is an ellipsoid with a length of ~30 mm and a diameter of ~49 mm. The decomposition reaction of magnesite mainly occurs in the arc area, and the radiation heat provided by the high-temperature arc is used as the heat source. There is almost no magnesite in the molten pool, and the molten pool only provides energy for the melting process of magnesia. When the electrode insertion depth is 0.4, 0.5, 0.6, and 0.7 m, the arc length is 0.049 m, 0.066 m, 0.068 m, and 0.059 m, respectively. According to the simulation results, there is an optimal electrode insertion depth.

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Cao, Longchao, Dehao Liu, Ping Jiang, Xinyu Shao, Qi Zhou, and Yan Wang. "Multi-physics simulation of dendritic growth in magnetic field assisted solidification." International Journal of Heat and Mass Transfer 144 (December 2019): 118673. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2019.118673.

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Lanetc, Zakhar, Aleksandr Zhuravljov, Ryan T. Armstrong, and Peyman Mostaghimi. "Hybrid numerical methods for modelling multi-physics mass transport in coal." International Journal of Heat and Mass Transfer 214 (November 2023): 124386. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2023.124386.

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Wang, Kai, Chenpei Li, Yanhui Li, Jinling Lu, Yueshe Wang, and Xingqi Luo. "A fully coupled model of hydrodynamic-chemical-electrochemical processes for CO2 uniform corrosion in multi-physics environment." Journal of Petroleum Science and Engineering 193 (October 2020): 107436. http://dx.doi.org/10.1016/j.petrol.2020.107436.

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Brewster Mallalieu, L. J., A. Sharma, A. Jamshidi, et al. "A Virtual Whiteboard for Improvement of Coordination of Physics Processes in a Multi-site Radiation Therapy Department." International Journal of Radiation Oncology*Biology*Physics 81, no. 2 (2011): S697. http://dx.doi.org/10.1016/j.ijrobp.2011.06.1331.

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Lian, Yanping, Jiawei Chen, Ming-Jian Li, and Ruxin Gao. "A multi-physics material point method for thermo-fluid-solid coupling problems in metal additive manufacturing processes." Computer Methods in Applied Mechanics and Engineering 416 (November 2023): 116297. http://dx.doi.org/10.1016/j.cma.2023.116297.

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Botvina, Alexander, and Marcus Bleicher. "Processes of hypernuclei formation in relativistic ion collisions." EPJ Web of Conferences 171 (2018): 13001. http://dx.doi.org/10.1051/epjconf/201817113001.

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The study of hypernuclei in relativistic ion collisions open new opportunities for nuclear and particle physics. The main processes leading to the production of hypernuclei in these reactions are the disintegration of large excited hyper-residues (target- and projectile-like), and the coalescence of hyperons with other baryons into light clusters. We use the transport, coalescence and statistical models to describe the whole reaction, and demonstrate the effectiveness of this approach: These reactions lead to the abundant production of multi-strange nuclei and new hypernuclear states. A broad distribution of predicted hypernuclei in masses and isospin allows for investigating properties of exotic hypernuclei, as well as the hypermatter both at high and low temperatures. There is a saturation of the hypernuclei production at high energies, therefore, the optimal way to pursue this experimental research is to use the accelerator facilities of intermediate energies, like FAIR (Darmstadt) and NICA (Dubna).

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Shiao, Yaojung, and Mahendra Babu Kantipudi. "Multi-Physics Analysis of a Magnetorheological Valve Train with Experimental Validation." Applied Sciences 12, no. 18 (2022): 9109. http://dx.doi.org/10.3390/app12189109.

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Magnetorheological (MR) fluid devices are widely used in active automotive control applications. However, MR fluid-based valve actuators are not in the limelight. This paper proposes a new flexible valve train with an MR fluid control system; the valve train can enhance the performance of internal combustion engines. A major component of this valve train is the magnetic plate block filled with MR fluid and surrounded by a magnetic coil. This plate block controls the magnetic field in this MR fluid and eventually facilitates flexible valve lifts and valve opening timings. This study overviewed the conceptual design, two-way coupled multi-physics numerical simulations, manufactured an MR valve prototype, and conducted experimental tests on a test bench to understand the real-time performance of the MR valve train. First, computer simulations were performed using a coupled magnetic and thermal multiphysics model to consider the Joule-heating effect of the magnetic coil in the MR magnetic plate block. The simulation results indicated that although the temperature of the MR fluid increased noticeably, it did not exceed the prescribed operating limits. The dimensions of the MR magnetic plate block were optimized. After computer simulations and optimization, a prototype of the proposed MR valve was fabricated and tested to understand its performance in real time. The experimental test results indicated the reliability of the proposed MR valve train in practical scenarios.

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Lee, Christopher. "The Evolution of Soft Collinear Effective Theory." International Journal of Modern Physics: Conference Series 37 (January 2015): 1560045. http://dx.doi.org/10.1142/s2010194515600459.

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Soft Collinear Effective Theory (SCET) is an effective field theory of Quantum Chromodynamics (QCD) for processes where there are energetic, nearly lightlike degrees of freedom interacting with one another via soft radiation. SCET has found many applications in high-energy and nuclear physics, especially in recent years the physics of hadronic jets in e+e-, lepton-hadron, hadron-hadron, and heavy-ion collisions. SCET can be used to factorize multi-scale cross sections in these processes into single-scale hard, collinear, and soft functions, and to evolve these through the renormalization group to resum large logarithms of ratios of the scales that appear in the QCD perturbative expansion, as well as to study properties of nonperturbative effects. We overview the elementary concepts of SCET and describe how they can be applied in high-energy and nuclear physics.

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KIM, SOO YONG, CHUNG HYUN PARK, and KYUNGSIK KIM. "COLLECTIVE POLITICAL OPINION FORMATION IN NONLINEAR SOCIAL INTERACTION." International Journal of Modern Physics C 18, no. 09 (2007): 1429–34. http://dx.doi.org/10.1142/s0129183107011431.

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We have presented a numerical model of a collective opinion formation procedure to explain political phenomena such as two-party and multi-party systems in politics, political unrest, military coup d'etats and netizen revolutions. Nonlinear interaction with binary and independent decision making processes can yield various collective behaviors or collective political opinions. Statistical physics and nonlinear dynamics may provide useful tools to study various socio-political dynamics.

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Jiang, Ping, Song Gao, Shaoning Geng, Chu Han, and Gaoyang Mi. "Multi-physics multi-scale simulation of the solidification process in the molten pool during laser welding of aluminum alloys." International Journal of Heat and Mass Transfer 161 (November 2020): 120316. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2020.120316.

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SHIGETA, Masaya. "Modelling and Numerical Methods for Multi-Physics in Nanoparticle Mass-Production Processes Using High-Enthalpy Plasma Flow Fields." Journal of Smart Processing 10, no. 1 (2021): 32–37. http://dx.doi.org/10.7791/jspmee.10.32.

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Reato, Federico Maria, Claudio Ricci, Jan Misfatto, Matteo Calzaferri, and Simone Cinquemani. "An Alternative Multi-Physics-Based Methodology for Strongly Coupled Electro-Magneto-Mechanical Problems." Algorithms 16, no. 6 (2023): 306. http://dx.doi.org/10.3390/a16060306.

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The analysis of complex systems tends to be approached through a separation and a simplification of the main macro phenomena and, thus, addressed through dedicated techniques, tools, and algorithms. A smart and interesting possibility, instead, is represented by the so-called model-based design analysis, which allows one to interface phenomena coming from interactions of different physical natures. This paper aims to propose a multi-physics Matlab/Simulink®-based architecture that allows one to integrate general and strongly non-linear coupling phenomena, taking efforts from two novel implemented bi-directional co-simulation routines based on Spice® and ESRF Radia® engines. Emphasis is dedicated to the discussion and description of the co-simulation algorithms and processes characteristic of these routines, which allow the analog electronic and the magneto dynamic domain’s integration under a single simulation environment. To highlight the reliability of the multi-domain architecture and to validate the reported co-simulation results, a comparison with the experimental measures obtained on an innovative MEMS electromagnetic actuator are proposed.

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