Thematische Bibliographien / Finite-Temperature properties

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Auswahl der wissenschaftlichen Literatur zum Thema „Finite-Temperature properties“

Autor: Grafiati

Veröffentlicht am 9. November 2024

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Zeitschriftenartikel zum Thema "Finite-Temperature properties"

Ishii, Noriyoshi, Hideo Suganuma und Hideo Matsufuru. „Glueball properties at finite temperature“. Nuclear Physics B - Proceedings Supplements 106-107 (März 2002): 516–18. http://dx.doi.org/10.1016/s0920-5632(01)01765-0.

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Drabold, David A., P. A. Fedders, Stefan Klemm und Otto F. Sankey. „Finite-temperature properties of amorphous silicon“. Physical Review Letters 67, Nr. 16 (14.10.1991): 2179–82. http://dx.doi.org/10.1103/physrevlett.67.2179.

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Seibert, David, und Charles Gale. „Measuring hadron properties at finite temperature“. Physical Review C 52, Nr. 2 (01.08.1995): R490—R494. http://dx.doi.org/10.1103/physrevc.52.r490.

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Jaklič, J., und P. Prelovšek. „Finite-temperature properties of doped antiferromagnets“. Advances in Physics 49, Nr. 1 (Januar 2000): 1–92. http://dx.doi.org/10.1080/000187300243381.

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Liu, Hanbin, und Kenneth D. Jordan. „Finite Temperature Properties of (CO2)nClusters“. Journal of Physical Chemistry A 107, Nr. 30 (Juli 2003): 5703–9. http://dx.doi.org/10.1021/jp0345295.

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HAN, FUXIANG, und YONGMEI ZHANG. „FINITE TEMPERATURE PROPERTIES OF OPTICAL LATTICES“. International Journal of Modern Physics B 19, Nr. 31 (20.12.2005): 4567–86. http://dx.doi.org/10.1142/s0217979205032942.

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Within a mean-field treatment of the Bose–Hubbard model for an optical lattice, we have derived a self-consistent equation for the order parameter of possible phases in the optical lattice at finite temperatures. From the solutions to the self-consistent equation, we have inferred the temperature dependence of the order parameter and transition temperatures of Mott-insulator and superfluid phases into the normal phase. The condensation fraction in the superfluid phase has been deduced from the one-body density matrix and its temperature dependence has been given. In terms of the normalized correlation function of quasiparticles, strong coherence in the superfluid phase and its loss in Mott-insulator phases are demonstrated.

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Ju, Nengjiu, und Aurel Bulgac. „Finite-temperature properties of sodium clusters“. Physical Review B 48, Nr. 4 (15.07.1993): 2721–32. http://dx.doi.org/10.1103/physrevb.48.2721.

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Wu, K. L., S. K. Lai und W. D. Lin. „Finite temperature properties for zinc nanoclusters“. Molecular Simulation 31, Nr. 6-7 (Mai 2005): 399–403. http://dx.doi.org/10.1080/08927020412331332749.

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de Oliveira, N. A., und A. A. Gomes. „Laves phase pseudobinaries: finite temperature properties“. Journal of Magnetism and Magnetic Materials 117, Nr. 1-2 (November 1992): 169–74. http://dx.doi.org/10.1016/0304-8853(92)90307-a.

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Yang, Jie, Jue-lian Shen und Hai-qing Lin. „Finite Temperature Properties of The FrustratedJ1-J2Model“. Journal of the Physical Society of Japan 68, Nr. 7 (15.07.1999): 2384–89. http://dx.doi.org/10.1143/jpsj.68.2384.

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Dissertationen zum Thema "Finite-Temperature properties"

Burnett, Mark Michael Stoddard Elizabeth P. „Single-particle properties of nuclear matter at finite temperature“. Diss., UMK access, 2007.

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Thesis (M.S.)--Dept. of Physics. University of Missouri--Kansas City, 2007.
"A thesis in physics." Typescript. Advisor: Elizabeth P. Stoddard. Vita. Title from "catalog record" of the print edition Description based on contents viewed Dec. 18, 2007. Includes bibliographical references (leaf 23). Online version of the print edition.

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Moretto, Therese. „Structure and properties of hadrons at zero and finite temperature“. Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335764.

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Robaina, Fernandez Daniel [Verfasser]. „Static and dynamic properties of QCD at finite temperature / Daniel Robaina Fernandez“. Mainz : Universitätsbibliothek Mainz, 2016. http://d-nb.info/1106573382/34.

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Williams, Michael Eric. „Ab-initio elastic and thermodynamic properties of high-temperature cubic intermetallics at finite temperatures“. [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2779.

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Zhong, Anruo. „Machine learning and adaptive sampling to predict finite-temperature properties in metallic materials at the atomic scale“. Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASP107.

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Les propriétés et le comportement des matériaux dans des conditions extrêmes sont essentiels pour les systèmes énergétiques tels que les réacteurs de fission et de fusion. Cependant, prédire avec précision les propriétés des matériaux à haute température reste un défi. Les mesures directes de ces propriétés sont limitées par les instruments expérimentaux, et les simulations à l'échelle atomique basées sur des champs de force empiriques sont souvent peu fiables en raison d'un manque de précision. Ce problème peut être résolu à l'aide de techniques d'apprentissage statistique, qui ont récemment vu leur utilisation exploser en science des matériaux. Les champs de force construits par apprentissage statistique atteignent le degré de précision des calculs ab initio ; cependant, leur mise en œuvre dans les méthodes d'échantillonnage est limitée par des coûts de calcul élevés, généralement supérieurs de plusieurs ordres de grandeur à ceux des champs de force traditionnels. Pour surmonter cette limitation, deux objectifs sont poursuivis dans cette thèse : (i) développer des champs de force par apprentissage statistique avec un meilleur compromis précision-efficacité et (ii) créer des méthodes accélérées d'échantillonnage de l'énergie libre afin de faciliter l'utilisation de champs de force d'apprentissage statistique coûteux en termes de calcul. Pour le premier objectif, nous améliorons la construction des champs de force d'apprentissage statistique en nous concentrant sur trois facteurs clés : la base de données, le descripteur de l'environnement atomique local et le modèle de régression. Dans le cadre de la régression par processus gaussien, nous proposons et optimisons des descripteurs basés sur des noyaux échantillonnés par la transformée de Fourier ainsi que de nouvelles méthodes de sélection de points épars pour la régression par noyau. Pour le deuxième objectif, nous développons un schéma d'échantillonnage bayésien rapide et robuste pour estimer l'énergie libre anharmonique, qui est cruciale pour comprendre les effets de la température sur les solides cristallins, à l'aide d'une méthode de force de biais adaptative améliorée. Cette méthode effectue une intégration thermodynamique à partir d'un système de référence harmonique, où les instabilités numériques associées aux fréquences nulles sont éliminées. La méthode d'échantillonnage proposée améliore considérablement la vitesse de convergence et la précision globale. Nous démontrons l'efficacité de la méthode améliorée en calculant les dérivées de second ordre de l'énergie libre, telles que les constantes élastiques, avec une rapidité plusieurs centaines de fois supérieure à celle des méthodes standard. Cette approche permet de prédire les propriétés thermodynamiques du tungstène et des alliages à haute entropie Ta-Ti-V-W à des températures qui ne peuvent être étudiées expérimentalement, jusqu'à leur point de fusion, avec une précision ab initio grâce à l'utilisation de champs de force construits par apprentissage statistique. Une extension de cette méthode permet l'échantillonnage d'un état métastable spécifique sans transition entre différents bassins d'énergie, fournissant ainsi l'énergie libre de formation et de liaison d'une configuration défectueuse. Ce développement aide à expliquer le mécanisme derrière l'observation des cavités dans le tungstène, mécanisme qui ne peut pas être expliqué par les calculs ab initio existants. Le profil d'énergie libre des lacunes dans le système Ta-Ti-V-W est également calculé pour la première fois. Enfin, nous validons l'application de cette méthode d'échantillonnage de l'énergie libre aux liquides. La précision et l'efficacité numérique du cadre de calcul proposé, qui combine des champs de force d'apprentissage statistique et des méthodes d'échantillonnage améliorées, ouvrent de nombreuses possibilités pour la prédiction fiable des propriétés des matériaux à température finie
The properties and behaviors of materials under extreme conditions are essential for energy systems such as fission and fusion reactors. However, accurately predicting the properties of materials at high temperatures remains challenging. Direct measurements of these properties are constrained by experimental instrument limitations, and atomic-scale simulations based on empirical force fields are often unreliable due to a lack of accuracy. This problem can be addressed using machine learning techniques, which have recently become widely used in materials research. Machine learning force fields achieve the accuracy of ab initio calculations; however, their implementation in sampling methods is limited by high computational costs, typically several orders of magnitude greater than those of traditional force fields. To overcome this limitation, this thesis has two objectives: (i) developing machine learning force fields with a better accuracy-efficiency trade-off, and (ii) creating accelerated sampling methods to facilitate the use of computationally expensive machine learning force fields and accurately estimate free energy. For the first objective, we enhance the construction of machine learning force fields by focusing on three key factors: the database, the descriptor of local atomic environments, and the regression model. Within the framework of Gaussian process regression, we propose and optimize descriptors based on Fourier-sampled kernels and novel sparse points selection methods for kernel regression. For the second objective, we develop a fast and robust Bayesian sampling scheme for estimating the fully anharmonic free energy, which is crucial for understanding temperature effects in crystalline solids, utilizing an improved adaptive biasing force method. This method performs a thermodynamic integration from a harmonic reference system, where numerical instabilities associated with zero frequencies are screened off. The proposed sampling method significantly improves convergence speed and overall accuracy. We demonstrate the efficiency of the improved method by calculating the second-order derivatives of the free energy, such as the elastic constants, which are computed several hundred times faster than with standard methods. This approach enables the prediction of the thermodynamic properties of tungsten and Ta-Ti-V-W high-entropy alloys at temperatures that cannot be investigated experimentally, up to their melting point, with ab initio accuracy by employing accurate machine learning force fields. An extension of this method allows for the sampling of a specified metastable state without transitions between different energy basins, thereby providing the formation and binding free energies of defective configurations. This development helps to explain the mechanism behind the observation of voids in tungsten, which cannot be explained by existing ab initio calculations. The free energy profile of vacancies in the Ta-Ti-V-W system is also computed for the first time. Finally, we validate the application of this free energy sampling method to liquids. The accuracy and numerical efficiency of the proposed computational framework, which combines machine learning force fields and enhanced sampling methods, opens up numerous possibilities for the reliable prediction of finite-temperature material properties

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Moomaw, Peter. „Drooped Strings and Dressed Mesons: Implications of Gauge-Gravity Duality for the Properties of Heavy-Light Mesons at Finite Temperature“. University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1250538856.

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Walander, Tomas. „Influences of temperature, fatigue and mixed mode loading on the cohesive properties of adhesive layers“. Doctoral thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-10972.

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This thesis concerns some aspects that have influence on the strength of adhesive layers. The strength is determined by the stress deformation-relation of the layer. This relation is also referred to as cohesive law. The aspects having influence on the cohesive laws that are studied in this work are temperature, fatigue, multi-axial fatigue and mixed mode loading. For each aspect, a model is developed that can be used to describe the influence of the aspects on the cohesive laws numerically, e.g. by using the finite element method. These models are shown to give good agreement with the experimental results when performing simulations that aims at reproducing the experiments. For the aspect of temperature, a FE-model is suggested that can be used to simulate the mechanical behaviour in pure mode loadings at any temperature within the evaluated temperature span. Also, a damage law for modelling high cycle fatigue in a bonded structure in multi-axial loading is presented. Lastly, a new experimental set-up is presented for evaluating strength of adhesives during mixed mode loading. The set-up enables loading with a constant mode-mix ratio and by the experimental results, a potential model for describing the mechanical behaviour of the evaluated adhesive is presented.

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Seru, Vikas Vineeth, und Venkata Ramana Murthy Polinati. „Modelling and Simulation of Hydrogen Diffusion in High Strength Steel“. Thesis, Blekinge Tekniska Högskola, Institutionen för maskinteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21128.

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This research is about modelling and simulation of how the hydrogen diffuses in high strength steels. The hydrogen diffusion in the material was examined by using finite element software with the help of material properties and some existing data. For modelling and simulating the diffusion analysis in finite element software, a cylindrical type dog-bone shaped specimen was chosen. To determine the diffusion at the centre of specimen, a cross-sectional area of the material was selected to proceed for the analysis. Abaqus software was considered as finite element software to progress the hydrogen diffusion and tensile testing of the specimen. Diffusion analysis was studied under the analogy of heat transfer and also, diffusion analysis with the addition of mechanical load was studied under the analogy of coupled temperature displacement in the Abaqus software. This process has executed for two types of high strength steels 316L and 304L stainless steels. The crack is also considered for analysis to check how it affects the specimen. Further, The 316L and 304L stainless steel results were compared to review that which steel is better to withstand the hydrogen diffusion rate and mechanical load on the material.

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Caraballo, Simon. „Thermo-Mechanical Beam Element for Analyzing Stresses in Functionally Graded Materials“. Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3024.

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Modeling at the structural scale most often requires the use of beam and shell elements. This simplification reduces modeling complexity and computation requirements but sacrifices the accuracy of through-the-thickness information. Several studies have reported various design approaches for analyzing functionally graded material structures. One of these studies proposed a two-node beam element for functionally graded materials (FGMs) based on first order shear deformable (FOSD) theory. The derivation of governing equations included spatial temperature variation. However, only the constant temperature case was carried through in the element formulation. This investigation explore the effects of spatial temperature variation in the axial and through-the-thickness direction of this proposed element and present a new standard three-node beam finite element modified for structure constructed of FGMs. Also, the influence of the temperature dependency of the thermo-elastic material properties on the thermal stresses distribution was studied. In addition, variations in the layer thicknesses within multilayer beam models were studied to determine the effect on stresses and factor of safety. Finally, based on the specific factor of safety, which combines together the strength and mass of the beam, the best layer thicknesses for the beam models were established. The key contributions expected from this research are: 1. development and implementation of a three-node beam element as a finite element code into the commercial computational tool MATLAB® to analyze thermo-mechanical stresses in structures constructed of functionally graded materials; 2. a strategy to simulate different load cases in structures constructed of functionally graded materials; 3. an analysis of the influence of the FGM interlayer thickness on the factor of safety/specific gravity ratio in structures constructed of functionally graded materials under thermo-mechanical loads; 4. and an analysis/comparison of the advantages/benefits of using structures constructed of functionally graded materials with respect to those constructed with homogenous materials.

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Rahmanian, Ima. „Thermal and mechanical properties of gypsum boards and their influences on fire resistance of gypsum board based systems“. Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/thermal-and-mechanical-properties-of-gypsum-boards-and-their-influences-on-fire-resistance-of-gypsum-board-based-systems(d8eb4bf5-706a-4264-911f-9584ebfbbc83).html.

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Gypsum board assemblies are now widely used in buildings, as fire resistant walls or ceilings, to provide passive fire protection. The fire resistance of such systems is fundamentally due to the desirable thermal properties of gypsum. Yet there is wide variability in reported values of thermal properties of gypsum at high temperatures and a lack of understanding of its integrity in fire. To evaluate the fire protection performance of gypsum board assemblies, it is essential to quantify its thermal properties and obtain information on its mechanical properties at high temperatures. Gypsum boards shrink and crack at high temperatures, and this leads to collapse of parts of the gypsum boards in fire. Fall-off of gypsum in fire affects the fire resistance of the assembly considerably, and cannot be overlooked when evaluating the fire resistance of gypsum board assemblies. The current research proposes a model to define the temperature-dependent thermal properties of gypsum boards at high temperatures. Thermal conductivity of gypsum is considered as the most influential parameter in conduction of heat through gypsum, and a hybrid numerical-experimental method is presented for extracting thermal conductivity of various gypsum board products at elevated temperatures. This method incorporates a validated one-dimensional Finite Difference heat conduction program and high temperature test results on small samples of gypsum boards. Moreover, high temperature mechanical tests have been performed on different gypsum board products; thermal shrinkage, strength and stress-strain relationships of gypsum products at elevated temperatures are extracted for use in numerical mechanical analysis. To simulate the structural performance of gypsum boards in fire, a two-dimensional Finite Element model has been developed in ABAQUS. This model successfully predicts the complete opening of a through-thickness crack in gypsum, and is validated against medium-scale fire tests designed and conducted as part of this research. Gypsum fall-off in fire is a complex phenomenon; however, it is believed that delaying the formation of through-thickness cracking will delay falling off of gypsum in fire, and hence improve the fire resistance of gypsum board assemblies. Finally, a study has been performed on the effects of various detailing parameters in gypsum board wall assemblies, and recommendations are offered for improving the fire resistance of such systems.

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Bücher zum Thema "Finite-Temperature properties"

C, Robinson James, und Langley Research Center, Hrsg. Procedure for imolementation of temperature-dependent mechanical property capability in the Engineering Analysis Language (EAL) system. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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Center, Langley Research, Hrsg. Micromechanics analysis of space simulated thermal deformations and stresses in continuous fiber reinforced composites. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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A, Miller Robert, und Lewis Research Center, Hrsg. Determination of creep behavior of thermal barrier coatings under laser imposed temperature and stress gradients. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1997.

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Eckle, Hans-Peter. Models of Quantum Matter. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199678839.001.0001.

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This book focuses on the theory of quantum matter, strongly interacting systems of quantum many–particle physics, particularly on their study using exactly solvable and quantum integrable models with Bethe ansatz methods. Part 1 explores the fundamental methods of statistical physics and quantum many–particle physics required for an understanding of quantum matter. It also presents a selection of the most important model systems to describe quantum matter ranging from the Hubbard model of condensed matter physics to the Rabi model of quantum optics. The remaining five parts of the book examines appropriate special cases of these models with respect to their exact solutions using Bethe ansatz methods for the ground state, finite–size, and finite temperature properties. They also demonstrate the quantum integrability of an exemplary model, the Heisenberg quantum spin chain, within the framework of the quantum inverse scattering method and through the algebraic Bethe ansatz. Further models, whose Bethe ansatz solutions are derived and examined, include the Bose and Fermi gases in one dimension, the one–dimensional Hubbard model, the Kondo model, and the quantum Tavis–Cummings model, the latter a model descendent from the Rabi model.

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Eriksson, Olle, Anders Bergman, Lars Bergqvist und Johan Hellsvik. Atomistic Spin Dynamics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788669.001.0001.

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The purpose of this book is to provide a theoretical foundation and an understanding of atomistic spin-dynamics, and to give examples of where the atomistic Landau-Lifshitz-Gilbert equation can and should be used. The contents involve a description of density functional theory both from a fundamental viewpoint as well as a practical one, with several examples of how this theory can be used for the evaluation of ground state properties like spin and orbital moments, magnetic form-factors, magnetic anisotropy, Heisenberg exchange parameters, and the Gilbert damping parameter. This book also outlines how interatomic exchange interactions are relevant for the effective field used in the temporal evolution of atomistic spins. The equation of motion for atomistic spin-dynamics is derived starting from the quantum mechanical equation of motion of the spin-operator. It is shown that this lead to the atomistic Landau-Lifshitz-Gilbert equation, provided a Born-Oppenheimer-like approximation is made, where the motion of atomic spins is considered slower than that of the electrons. It is also described how finite temperature effects may enter the theory of atomistic spin-dynamics, via Langevin dynamics. Details of the practical implementation of the resulting stochastic differential equation are provided, and several examples illustrating the accuracy and importance of this method are given. Examples are given of how atomistic spin-dynamics reproduce experimental data of magnon dispersion of bulk and thin-film systems, the damping parameter, the formation of skyrmionic states, all-thermal switching motion, and ultrafast magnetization measurements.

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Buchteile zum Thema "Finite-Temperature properties"

Calles, A., und A. Cabrera. „Finite Temperature Properties for the Electron Gas with Localization up to 3 Dimensions“. In Condensed Matter Theories, 37–46. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0605-4_5.

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Fang, Miaomiao, Yuqi Wang, Jiaxin Liu und Fan Sun. „Research on Support Damage of Highway Bridge Based on Midas“. In Lecture Notes in Civil Engineering, 330–37. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1260-3_30.

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AbstractDuring the operation of highway bridges, the bearing stiffness will decrease with the service life, and the mechanical properties will also change. In order to study the influence of stiffness damage on bearing. In this paper, a continuous beam bridge is selected for finite element model analysis, and the effects of stiffness damage on bearing force and bearing offset under the conditions of concrete shrinkage and creep and 30 °C temperature difference are comprehensively considered. The results show that the bearing stiffness damage has little influence on the vertical displacement, horizontal displacement and bearing capacity of the bearing, but has a great influence on the vertical compression deformation and durability of the bearing.

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Rabhi, F., G. Cheng und T. Barriere. „Modeling of Viscoelasticity of Thermoplastic Polymers Employed in the Hot Embossing Process“. In Lecture Notes in Mechanical Engineering, 251–60. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-58006-2_19.

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AbstractThe manufacturing of micro-scale components requires mastery of shaping processes ranging from micromechanics to electronic microfabrication. The hot embossing (HE) process is widely developed in various fields, since it allows to emboss complex structures at the micro/nanoscale such as optical sensors, diffractive lenses, microfluidic channels, and so on. The development of micro-structured parts via this process requires an in-depth analysis of the surface quality obtained and the mold filling rate. It is essential to analyze the influence of polymer properties to optimize the final mold filling to reduce cycle time and obtain defect-free replicated components. In this research, compression tests were carried out with poly(methyl methacrylate) (PMMA) and polycarbonate (PC), at different forming temperatures to determine their behavior law properties. Numerical simulation of the polymer forming processing was carried out by using Abaqus finite element software, taking into account the mechanical properties of both polymers and the characteristics of microchannels. The aim was to analyze the effect of the elastic–viscoplastic properties of the materials on the mold filling rate at different temperatures. Numerical simulation of the HE process with PMMA shows that the mold cavity is completely filled with elastic-viscoplastic behaviors, and the filling rate increases as a function of mold displacement. On the other hand, for PC, the embossed temperature has an influence on the filling ratio of the mold.

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Li, Xu, Weiqin Liu, Jinxi Qin, Xiuxing Zhao und Jie Chen. „Study on Strain Characteristics of Long Longitudinal Slope Asphalt Pavement Surface“. In Lecture Notes in Civil Engineering, 421–30. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4355-1_39.

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AbstractTo study the changes in shear and tensile strains of asphalt pavement under vehicle moving loads on long longitudinal slopes, a structural model of asphalt pavement was established using Abaqus finite element calculation software. A single factor analysis was conducted on different slopes, driving speeds, temperatures, and braking coefficients. The calculation results show that the maximum shear strain increases with the increase of road slope, temperature, and braking coefficient, but decreases with the increase of driving speed; The maximum tensile strain increases with the increase of road slope, driving speed, and braking coefficient, but decreases with the increase of temperature. When the vehicle is driving smoothly, the maximum shear strain occurs at a distance of about 5cm from the road surface, and the maximum tensile strain occurs at a distance of 6cm from the road surface, both of which occur in the middle layer. In the design phase, targeted improvements can be made to the shear and tensile properties of the asphalt surface layer in the middle layer, in order to enhance the road performance of the asphalt surface layer in long and long longitudinal slopes. When the vehicle is braking, when the braking coefficient is high, the road surface will generate significant shear strain. In the design stage, it is necessary to improve the shear resistance of the upper layer of asphalt concrete in a targeted manner.

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Nayak, Soumyaranjan, Abhishek Kumar Singh, Hina Gokhale, M. J. N. V. Prasad und K. Narasimhan. „A Numerical Study to Analyze the Effect of Process Parameters on Ring Rolling of Ti-6Al-4V Alloy by Response Surface Methodology“. In Lecture Notes in Mechanical Engineering, 315–35. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-58006-2_25.

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AbstractHot ring rolling is a production method to manufacture seamless rings. It is a complex incremental metal-forming process where reduction of cross-section leads to increase in diameter of the ring via circumferential extrusion. High degree of non-linearity and asymmetry is associated with the process. The process results in non-uniform distribution of temperature and plastic strain in the ring cross-section, and this in turn significantly affects the deformation behavior, microstructure, and mechanical properties. Form defect like fishtail defect is also a major concern and incurs loss in terms of labor and machining cost. In this study, rolling of Ti-6Al-4V rings is studied with the help of three-dimensional coupled thermo-mechanical finite element model established using ABAQUS/Explicit environment-based dynamic explicit code. The major parameters taken into consideration for the study are main roll speed (rpm), main roll feed (mm/s), and coefficient of friction. Each parameter was studied at two levels. Twenty simulations with different combinations of major parameters were developed via Central Composite Design (CCD). Coefficient of Variation (CoV) was used as a heterogeneity index to ascertain heterogeneity in equivalent plastic strain (PEEQ) and temperature distribution in the ring. Fishtail defect was quantified using fishtail coefficient as an index. Analysis of variance (ANOVA) was used to ascertain the impact of significant factors and interactions between different parameters affecting the ring rolling process. ANOVA technique requires unrestricted range of (−∞, ∞) for analysis. Hence, logit transformation is used to transform fishtail coefficient present in the range 0–1 to an unrestricted real number range (−∞, ∞). Main roll feed rate was found to be the most significant factor affecting CoV (PEEQ), CoV (temperature) and logit transformation of fishtail coefficient and has an inverse correlation and quadratic relationship with all the responses. Other sources of variation like main roll speed (rpm) and coefficient of friction (CoF) have minimal impact. Increase in feed rate was found to reduce CoV (PEEQ), CoV (temperature), and logit transformation of fishtail coefficient.

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Yang, Zhaochun. „Influence of Temperature on Material Properties“. In Material Modeling in Finite Element Analysis, 35–42. 2. Aufl. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003436317-6.

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Xu, Yangjian, Daihui Tu und Chunping Xiao. „Nonlinear Finite Element Analysis of Convective Heat Transfer Steady Thermal Stresses in a ZrO2 /FGM/Ti-6Al-4V Composite EFBF Plate with Temperature-Dependent Material Properties“. In Ceramic Transactions Series, 265–71. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470640845.ch37.

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Betts, D. D., S. Masui und N. Vats. „Enhancement of the Finite Lattice Method for Estimating the Zero Temperature Properties of Quantum Spin Systems in Two Dimensions with Application to the S = 1/2 XY Ferromagnet on the Square Lattice“. In Recent Progress in Many-Body Theories, 255–61. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1937-9_23.

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Werzner, Eric, Miguel A. A. Mendes, Cornelius Demuth, Dimosthenis Trimis und Subhashis Ray. „Simulation of Fluid Flow, Heat Transfer and Particle Transport Inside Open-Cell Foam Filters for Metal Melt Filtration“. In Multifunctional Ceramic Filter Systems for Metal Melt Filtration, 301–33. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-40930-1_13.

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AbstractIn order to develop improved filters for metal melt filtration, different physical phenomena that take place during depth filtration of liquid metals need to be well understood. Due to the difficult accessibility of the process, the harsh process conditions and the randomness of the typically employed ceramic foam filters, representative experimental investigations are extremely difficult to perform and often provide only integral quantities or selective information. This chapter presents a numerical model for simulating the depth filtration of liquid metal at the pore-scale, i.e., fully resolving the complex filter geometry, which can also accurately handle the curved filter walls. In the model, the velocity and pressure distribution of the melt flow is obtained by the lattice-Boltzmann method and the temperature field is calculated using the finite volume method, while the transport and filtration of the inclusions are predicted by solving the equation of motion for particles in a Lagrangian reference frame. In order to obtain a consistent representation of the curved filter walls for both particle transport and fluid flow, the Euclidean distance field of the filter structures is employed. By comprehensive parametric studies, the sensitivity of the filtration process with respect to various geometric parameters and process conditions is investigated. Therefore, geometries of conventionally manufactured filters, acquired from 3D μCT scanning, as well as computer-generated filter structures are considered. Their performance is assessed by evaluating various effective properties, such as the viscous and inertial permeability and the filtration coefficient. The numerical predictions allow to draw conclusions with respect to the dominant physical mechanisms and are compared with those from simplified physical models, which are shown to be sufficiently accurate for the pre-screening of filters. On the basis of the detailed results, suggestions for improved filter geometries are made, depending on the considered filtration process. Further, simplified models for the prediction of the effective thermal conductivity of open-cell foams in presence and absence of radiation are presented and validated using the detailed numerical predictions.

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Zinn-Justin, Jean. „Quantum field theory (QFT) at finite temperature: Equilibrium properties“. In Quantum Field Theory and Critical Phenomena, 786–830. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198834625.003.0033.

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Some equilibrium properties in statistical quantum field theory (QFT), that is, relativistic QFT at finite temperature are reviewed. Study of QFT at finite temperature is motivated by cosmological problems, high energy heavy ion collisions, and speculations about possible phase transitions, also searched for in numerical simulations. In particular, the situation of finite temperature phase transitions, or the limit of high temperature (an ultra-relativistic limit where the temperature is much larger than the physical masses of particles) are discussed. The concept of dimensional reduction emerges, in many cases, statistical properties of finite-temperature QFT in (1, d − 1) dimensions can be described by an effective classical statistical field theory in (d − 1) dimensions. Dimensional reduction generalizes a property already observed in the non-relativistic example of the Bose gas, and indicates that quantum effects are less important at high temperature. The corresponding technical tools are a mode-expansion of fields in the Euclidean time variable, singling out the zero modes of boson fields, followed by a local expansion of the resulting (d − 1)-dimensional effective field theory (EFT). Additional physical intuition about QFT at finite temperature in (1, d−1) dimensions can be gained by considering it as a classical statistical field theory in d dimensions, with finite size in one dimension. This identification makes an analysis of finite temperature QFT in terms of the renormalization group (RG), and the theory of finite-size effects of the classical theory, possible. These ideas are illustrated with several simple examples, the φ⁴ field theory, the non-linear σ-model, the Gross–Neveu model and some gauge theories.

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Konferenzberichte zum Thema "Finite-Temperature properties"

Ryan, Thomas P., Robert C. Platt, Jeffery S. Dadd und Stanley Humphries. „Tissue Electrical Properties As a Function of Thermal Dose for Use in a Finite Element Model“. In ASME 1997 International Mechanical Engineering Congress and Exposition, 167–71. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1330.

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Abstract A finite element model for tissue heating by electromagnetic energy was used to predict temperatures over time intervals associated with clinical treatments. Thermal and electrical properties of tissue as well as perfusion are input as functions of temperature. The software recalculates power absorption and temperature distribution based on updates of tissue properties which may change due to the thermal dose history. A damage integral overlay was implemented to predict the extent of necrosis. At frequencies below 1 MHz, there were no published data for various tissue types regarding the change in electrical properties of tissue over a range of temperatures and times. To address this, an automated laboratory was set up to characterize electrical properties of brain, liver, muscle, fat, and blood over a range of time and temperatures at 500 kHz. Although brain, fat, and blood showed a monotonic increase in conductivity with increasing temperature and time, there were breakpoints. For muscle and liver, breakpoints were seen at 60°C and 70°C, respectively, with a decrease in conductivity thereafter. Finally, the importance of considering tissue changes will be demonstrated in devices intended for use in human clinical trials, modeled with the system.

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Humphries, Stanley, Robert C. Platt und Thomas P. Ryan. „Finite-Element Codes to Model Electrical Heating and Non-Linear Thermal Transport in Biological Media“. In ASME 1997 International Mechanical Engineering Congress and Exposition, 131–34. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1324.

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Abstract ETherm is a versatile finite-element software system to model heating in biological media for electrosurgery and other medical applications. The electrical field component calculates penetration of RF radiation into conductive dielectrics. The thermal solver finds time-dependent or steady-state solutions using stable diffusion methods with automatic time step adjustment. An important feature is the capacity to treat non-linear diffusion with temperature-dependent thermal properties such as blood perfusion to represent physical changes of tissues. The program also evaluates Arrhenius damage integrals by maintaining temperature integrals over tissue elements.

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Torres-Rincon, Juan, Glòria Montaña, Angels Ramos und Laura Tolos. „Finite-temperature effects on D-meson properties“. In 10th International Workshop on Charm Physics. Trieste, Italy: Sissa Medialab, 2021. http://dx.doi.org/10.22323/1.385.0040.

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Aprilia, A., und A. Sulaksono. „Properties of fermionic dark stars at finite temperature“. In PROCEEDINGS OF THE 5TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2019). AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0007856.

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Colò, Gianluca, Pier Francesco Bortignon, Nguyen Van Giai, Angela Bracco und Ricardo A. Broglia. „Properties of giant resonances at zero and finite temperature“. In Future Directions in Nuclear Physics with 4π Gamma Detection Systems of the New Generation. AIP, 1992. http://dx.doi.org/10.1063/1.42584.

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Ohno, Hiroshi, Heng-Tong Ding und Olaf Kaczmarek. „Quark mass dependence of quarkonium properties at finite temperature“. In The 32nd International Symposium on Lattice Field Theory. Trieste, Italy: Sissa Medialab, 2015. http://dx.doi.org/10.22323/1.214.0219.

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Sator, Ladislav, und Miroslav Repka. „Analysis of Temperature Fields in FGM Micro/Nano Solids by Moving Finite Element Method“. In 2023 IEEE 13th International Conference Nanomaterials: Applications & Properties (NAP). IEEE, 2023. http://dx.doi.org/10.1109/nap59739.2023.10310824.

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Lee, Geoff M., Ashton S. Bradley und Matthew J. Davis. „Coherence Properties of a Continuously Pumped Atom Laser at Finite Temperature“. In Quantum-Atom Optics Downunder. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/qao.2007.qwe26.

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Papa, Alessandro, Oleg Borisenko, Vladimir Chelnokov, Gennaro Cortese, Mario Gravina und Ivan Surzhikov. „Critical properties of 3D Z(N) lattice gauge theories at finite temperature“. In 31st International Symposium on Lattice Field Theory LATTICE 2013. Trieste, Italy: Sissa Medialab, 2014. http://dx.doi.org/10.22323/1.187.0463.

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Manjang, Salama, und Bidayatul Armynah. „The Radial Distribution of Temperature in XLPE Cable an Analysis The Finite Element Numerical Method“. In 2006 IEEE 8th International Conference on Properties and applications of Dielectric Materials. IEEE, 2006. http://dx.doi.org/10.1109/icpadm.2006.284209.

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Berichte der Organisationen zum Thema "Finite-Temperature properties"

Lui, Rui, Cheng Zhu, John Schmalzel, Daniel Offenbacker, Yusuf Mehta, Benjamin Barrowes, Danney Glaser und Wade Lein. Experimental and numerical analyses of soil electrical resistivity under subfreezing conditions. Engineer Research and Development Center (U.S.), April 2024. http://dx.doi.org/10.21079/11681/48430.

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The engineering behavior of frozen soils is critical to the serviceability of civil infrastructure in cold regions. Among various geophysical techniques, electrical resistivity imaging is a promising technique that is cost effective and provides spatially continuous subsurface information. In this study, under freeze–thaw conditions, we carry out lab–scale 1D electrical resistivity measurements on frost–susceptible soils with varying water content and bulk density properties. We use a portable electrical resistivity meter for temporal electrical resistivity measurements and thermocouples for temperature monitoring. Dynamic temperature-dependent soil properties, most notably unfrozen water content, exert significant influences on the observed electrical resistivity. Below 0 °C, soil resistivity increases with the decreasing temperature. We also observe a hysteresis effect on the evolution of electrical resistivity during the freeze–thaw cycle, which effect we characterize with a sigmoidal model. At the same temperature, electrical resistivity during freezing is consistently lower than that during thawing. We have implemented this sigmoidal model into a COMSOL finite element model at both laboratory and field scales which enables the simulation of soil electrical resistivity response under both short–term and long–term sub–freezing conditions. Atmospheric temperature variations induce soil temperature change, and thereby phase transition and electrical resistivity change, with the rate of change being a function of the depth of investigation and soil properties include initial water content and initial temperature. This study advances the fundamental understanding of the electrical behaviors of frozen soils and enhance the application of electrical geophysical investigations in cold regions.

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Jung. L52232 Weld Metal Cooling Rate Prediction of Narrow Groove Pipeline Girth Welds FEA Modeling. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), Januar 2008. http://dx.doi.org/10.55274/r0011321.

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As part of a larger, DoT-sponsored program to develop optimized weld metal chemistries for X80 and X100, a finite-element approach was used to predict weld metal cooling rates and to provide a better understanding of the factors which influence them. The models can then be used to predict how changes in the welding procedure will affect the cooling rates of the weld joints. The changes in the welding procedure can include the joint details, the heat input of the weld as well as the preheating temperature. The predicted cooling rate from the model will be used as input, along with the weld metal chemistries, to predict the weld metal microstructure and mechanical properties of a completed weld. The cooling rate model and microstructure prediction subroutine will aid in the development of optimized welding consumables that will improve the weldability of X80 and X100 pipelines.

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Kamai, Tamir, Gerard Kluitenberg und Alon Ben-Gal. Development of heat-pulse sensors for measuring fluxes of water and solutes under the root zone. United States Department of Agriculture, Januar 2016. http://dx.doi.org/10.32747/2016.7604288.bard.

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The objectives defined for this study were to: (1) develop a heat-pulse sensor and a heat-transfer model for leaching measurement, and (2) conduct laboratory study of the sensor and the methodology to estimate leaching flux. In this study we investigated the feasibility for estimating leachate fluxes with a newly designed heat-pulse (HP) sensor, combining water flux density (WFD) with electrical conductivity (EC) measurements in the same sensor. Whereas previous studies used the conventional heat pulse sensor for these measurements, the focus here was to estimate WFD with a robust sensor, appropriate for field settings, having thick-walled large-diameter probes that would minimize their flexing during and after installation and reduce associated errors. The HP method for measuring WFD in one dimension is based on a three-rod arrangement, aligned in the direction of the flow (vertical for leaching). A heat pulse is released from a center rod and the temperature response is monitored with upstream (US) and downstream (DS) rods. Water moving through the soil caries heat with it, causing differences in temperature response at the US and DS locations. Appropriate theory (e.g., Ren et al., 2000) is then used to determine WFD from the differences in temperature response. In this study, we have constructed sensors with large probes and developed numerical and analytical solutions for approximating the measurement. One-dimensional flow experiments were conducted with WFD ranging between 50 and 700 cm per day. A numerical model was developed to mimic the measurements, and also served for the evaluation of the analytical solution. For estimation WFD, and analytical model was developed to approximate heat transfer in this setting. The analytical solution was based on the work of Knight et al. (2012) and Knight et al. (2016), which suggests that the finite properties of the rods can be captured to a large extent by assuming them to be cylindrical perfect conductors. We found that: (1) the sensor is sensitive for measuring WFD in the investigated range, (2) the numerical model well-represents the sensor measurement, and (2) the analytical approximation could be improved by accounting for water and heat flow divergence by the large rods.

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LOW-TEMPERATURE COMPRESSION BEHAVIOUR OF CIRCULAR STUB STAINLESS-STEEL TUBULAR COLUMNS. The Hong Kong Institute of Steel Construction, September 2022. http://dx.doi.org/10.18057/ijasc.2022.18.3.4.

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This paper firstly studies mechanical properties of stainless steel (SS) S30408 at the low temperature (T) range of -80~20℃. Further compression tests are carried out on 20 SS stub tubular columns (SSSTCs) at low temperatures of -80, -60, -30, and 20℃ to investigate their low-temperature compression behaviour. Including the testing low temperatures, the wall thickness of SS tube (t) is the other investigated parameters. Test results show that decreasing the T from 20 to -80℃ improves the yield and ultimate strength of stainless steel by 29% and 80%, respectively, but reduces its ductility by about 25%. Under low-temperature compression, elephant foot local buckling occurs to most of SSSTCs and inelastic inward and outward local buckling occurred to specimens with 6 mm-thick SS tube. Test results also show that the decreasing T value increases the strength and stiffness of SSSTCs, but compromises their ductility; the wall thickness of SSSTCs significantly improves their strength, stiffness, and ductility. This paper also develops 3D finite element model (FEM) to estimate the low-temperature compression behaviour of SSSTCs, which considers nonlinearities of material and geometry, geometric imperfections, and influences of low temperatures. The validations show it predicts reasonably well the low-temperature compression behaviours of SSSTCs.

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