Добірка наукової літератури з теми "Thermophysical model"

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Статті в журналах з теми "Thermophysical model"

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Markkanen, J., and J. Agarwal. "Thermophysical model for icy cometary dust particles." Astronomy & Astrophysics 643 (October 27, 2020): A16. http://dx.doi.org/10.1051/0004-6361/202039092.

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Context. Cometary dust particles are subjected to various forces after being lifted off the nucleus. These forces define the dynamics of dust, trajectories, alignment, and fragmentation, which, in turn, have a significant effect on the particle distribution in the coma. Aims. We develop a numerical thermophysical model that is applicable to icy cometary dust to study the forces attributed to the sublimation of ice. Methods. We extended the recently introduced synoptic model for ice-free dust particles to ice-containing dust. We introduced an additional source term to the energy balance equation accounting for the heat of sublimation and condensation. We use the direct simulation Monte Carlo approach with the dusty gas model to solve the mass balance equation and the energy balance equation simultaneously. Results. The numerical tests show that the proposed method can be applied for dust particles covering the size range from tens of microns to centimetres with a moderate computational cost. We predict that for an assumed ice volume fraction of 0.05, particles with a radius, r ≫ 1 mm, at 1.35 AU, may disintegrate into mm-sized fragments due to internal pressure build-up. Particles with r < 1 cm lose their ice content within minutes. Hence, we expect that only particles with r > 1 cm may demonstrate sustained sublimation and the resulting outgassing forces.
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SOZONOV, Maxim V., Alexander N. BUSYGIN, Andrey N. BOBYLEV, and Anatolii A. KISLITSYN. "THERMOPHYSICAL MODEL OF A MEMRISTOR-DIODE MICROCHIP." Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy 7, no. 4 (2021): 62–78. http://dx.doi.org/10.21684/2411-7978-2021-7-4-62-78.

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The most popular models of memristor, based on the principle of formation and breakage of conductive filaments in memristive layer, are applied to consideration of a single memristor. However, consideration of a full-fledged microchip with many memristors may be also interesting. In this case, it is very important to determine the thermal mode of work of the device, in particular, to determine if it needs cooling and how the microchip architecture affects on the nature of heat transfer. At the same time, the proposed model should be quite simple, since modeling of conductive filaments in each memristor greatly complicates work with the model and requires large computational resources. In this paper a thermophysical model of the microchip based on a memristor-diode crossbar created at the REC “Nanotechnology” at Tyumen State University is presented. The model takes into account Joule heating and convective heat transfer. A feature of the model is a simplified determination of memristor state by the resistivity value of memristive layer from the data of the current-voltage characteristic of a real memristor sample. Simulation is carried out in the ANSYS software package. Within the framework of the model, self-consistent electrical and thermophysical problems are solved in a non-stationary setting. The temperature fields and graphs of the temperature versus time were obtained for various operating modes. The results obtained are in good agreement with similar data from other studies published in the literature. The model shows itself well in various operating modes, both in modes with memristor state switching process and without it. The presented model can be used at the design stage to take into account the features of the microchip architecture, which can significantly affect the thermal state of microchip operating modes.
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Selivanova, Z. M., and K. V. Skomorokhov. "Identification of the Measuring Situation when Determining Thermal Properties of Solid Materials under Uncertainty." Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta 27, no. 4 (2021): 516–27. http://dx.doi.org/10.17277/vestnik.2021.04.pp.516-527.

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Анотація:
The main factors characterizing the uncertainty of the measuring situation during thermophysical measurements are considered. An approach is proposed for determining the parameters of the thermophysical properties of materials and the measurement error under uncertainty. A conceptual model of the formation of a measuring environment for an intelligent information-measuring system of thermophysical properties of materials in a situation of uncertainty has been created. The solution of the optimization problem of identification of the measuring situation when determining the thermophysical properties of solid materials of various ranges of thermal conductivity is presented. An information model has been developed to identify a measurement situation in an intelligent information and measurement system operating under conditions of uncertainty.
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Franke, Martin M., Michael Hilbinger, Astrid Heckl, and Robert F. Singer. "Effect of Thermophysical Properties and Processing Conditions on Primary Dendrite Arm Spacing of Nickel-Base Superalloys – Numerical Approach." Advanced Materials Research 278 (July 2011): 156–61. http://dx.doi.org/10.4028/www.scientific.net/amr.278.156.

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This paper presents the results of an investigation on the interrelationship between thermophysical properties, processing conditions and primary dendrite arm spacing for a nickel-base superalloy. The research was realized for CMSX-4, directionally solidified in a Bridgman furnace. For a systematic, fast and cost-efficient investigation numerical finite element models were applied. The numerical model, composed of thermophysical material data, geometric data and boundary conditions, was calibrated and experimentally validated. Microstructural parameters of the castings were determined for a broad range of processing conditions and varying thermophysical properties in order to study general influences. Withdrawal speed, furnace temperature, enthalpy of fusion, solidification range, heat conductivity and specific heat were varied accordingly. The primary dendrite arm spacing is predominantly influenced by withdrawal speed and furnace temperature, but shows only a weak dependency on thermophysical properties.
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Parvizi, Negar, Falamarz Akbari, Mohammad Mehdi Alavianmehr, and Delara Mohammad-Aghaie. "Thermophysical properties of biodiesel fuels from modified perturbed hard trimer chain equation of state." High Temperatures-High Pressures 51, no. 1 (2022): 3–26. http://dx.doi.org/10.32908/hthp.v51.1099.

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In the present study, a modified version of the perturbed hard trimer chain equation of state was employed to predict thermophysical properties of fatty acid methyl ester (FAME) and fatty acid ethyl ester (FAEE) systems. The thermophysical properties in question are liquid density, vapor pressure, heat capacity, viscosity and thermal conductivity. The predictive power of the model has been assessed by calculating the aforementioned thermophysical properties and comparing with experimental ones as well as other models. Typically, the overall average absolute relative deviation (AARD in %) of the predicted densities for 1665 data points was found to be 2.57%. Simplicity and good agreement between the experimental data and those calculated from the present model, are the reasons for applicability of proposed model with sufficient accuracy for engineering applications. The capability of this new equation of state in predicting both thermodynamic and transport properties simultaneously with good accuracies is really prominent.
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Spencer, John R. "A rough-surface thermophysical model for airless planets." Icarus 83, no. 1 (January 1990): 27–38. http://dx.doi.org/10.1016/0019-1035(90)90004-s.

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Zhang, Chunping, Mohammad Jahazi, and Paloma Isabel Gallego. "On the Impact of Microsegregation Model on the Thermophysical and Solidification Behaviors of a Large Size Steel Ingot." Metals 10, no. 1 (January 2, 2020): 74. http://dx.doi.org/10.3390/met10010074.

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The impact of microsegregation models on thermophysical properties and solidification behaviors of a high strength steel was investigated. The examined microsegregation models include the classical equilibrium Lever rule, the extreme non-equilibrium Scheil-Gulliver, as well as other treatments in the intermediate regime proposed by Brody and Flemings, Clyne and Kurz, Kobayashi and Ohnaka. Based on the comparative analyses performed on three representative regions with varied secondary dendrite arm spacing sizes, the classical equilibrium Lever rule and non-equilibrium Scheil scheme were employed to determine the thermophysical features of the studied steel, using the experimentally verified models from literature. The evaluated thermophysical properties include effective thermal conductivity, specific heat capacity and density. The calculated thermophysical data were used for three-dimensional simulation of the casting and solidification process of a 40 metric ton steel ingot, using FEM code Thercast®. The simulations captured the full filling, the thermo-mechanical phenomena and macro-scale solute transport in the cast ingot. The results demonstrated that Lever rule turned out to be the most reasonable depiction of the physical behavior of steel in study in large-size cast ingot and appropriate for the relevant macrosegregation simulation study. The determination of the model was validated using the experimentally measured top cavity dimension, the thermal profiles on the mold outside surface by means of thermocouples, and the carbon distribution patterns via mass spectrometer analysis.
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Magri, Christopher, Ellen S. Howell, Ronald J. Vervack, Michael C. Nolan, Yanga R. Fernández, Sean E. Marshall, and Jenna L. Crowell. "SHERMAN, a shape-based thermophysical model. I. Model description and validation." Icarus 303 (March 2018): 203–19. http://dx.doi.org/10.1016/j.icarus.2017.11.025.

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Osokin, N. I., R. S. Samoylov, A. V. Sosnovskiy, S. A. Sokratov, and V. A. Zhidkov. "Model of the influence of snow cover on soil freezing." Annals of Glaciology 31 (2000): 417–21. http://dx.doi.org/10.3189/172756400781820282.

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AbstractA mathematical model of snow-cover influence on soil freezing, taking into account the phase transition layer, water migration in soil, frost heave and ice-layer formation, has been developed. The modeled results are in good agreement with data observed in natural conditions. The influence of a possible delay between the time of negative temperature establishment in the air and the beginning of snow accumulation, and possible variations of the thermophysical properties of snow cover in the wide range previously reported were investigated by numerical experiments. It was found that the delay could change the frozen-soil depth up to 2–3 times, while different thermophysical characteristics of snow changed the resulting freezing depth 4–5 times.
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Bhardwaj, Purvee. "Structural and Thermophysical Properties of Cadmium Oxide." ISRN Thermodynamics 2012 (April 9, 2012): 1–4. http://dx.doi.org/10.5402/2012/798140.

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We have studied the structural and thermophysical properties of cadmium oxide (CdO), using the Three-Body Potential (TBP) model. Phase transition pressures are associated with a sudden collapse in volume. The phase transition pressures and related volume collapses obtained from this model show a generally good agreement with available experimental others data. The thermophysical properties like molecular force constant, Debye temperature, and so forth, of CdO are also reported.
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Дисертації з теми "Thermophysical model"

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Zhang, Ying. "Symbolic regression of thermophysical model using genetic programming." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000308.

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Hanesiak, John Michael. "Development of a one-dimensional electro-thermophysical model of the snow sea-ice system, arctic climate processes and microwave remote sensing applications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ62637.pdf.

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Jokar, Ali. "An inverse method for estimating the electrochemical and the thermophysical parameters of lithium-ion batteries with different positive electrode materials." Thèse, Université de Sherbrooke, 2017. http://hdl.handle.net/11143/11799.

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La sécurité de plusieurs systèmes électriques est fortement dépendante de la fiabilité de leur bloc-batterie à base de piles aux ions lithium (Li-ion). Par conséquent, ces batteries doivent être suivis et contrôlés par un système de gestion des batteries (BMS). Le BMS interagit avec toutes les composantes du bloc-batterie de façon à maintenir leur intégrité. La principale composante d’un BMS est un modèle représentant le comportement des piles Liion et capable de prédire ses différents points d’opération. Dans les industries de l’électronique et de l’automobile, le BMS repose habituellement sur des modèles empiriques simples. Ceux-ci ne sont cependant pas capables de prédire les paramètres de la batterie lorsqu’elle vieillit. De plus, ils ne sont applicables que pour des piles spécifiques. D’un autre côté, les modèles électrochimiques sont plus sophistiqués et plus précis puisqu’ils sont basés sur la résolution des équations de transport et de cinétique électrochimique. Ils peuvent être utilisés pour simuler les caractéristiques et les réactions à l’intérieur des piles aux ions lithium. Pour résoudre les équations des modèles électrochimiques, il faut connaître les différents paramètres électrochimiques et thermo-physiques de la pile. Les variables les plus significatives des piles Li-ion peuvent être divisées en 3 catégories : les paramètres géométriques, ceux définissant les matériaux et les paramètres d’opération. Les paramètres géométriques et de matériaux peuvent être facilement obtenus à partir de mesures directes ou à partir des spécifications du manufacturier. Par contre, les paramètres d’opération ne sont pas faciles à identifier. De plus, certains d’entre eux peuvent dépendre de la technique de mesure utilisée et de l’âge. Finalement, la mesure de certains paramètres requiert le démantèlement de la pile, une procédure risquée et destructive. Plusieurs recherches ont été réalisées afin d’identifier les paramètres opérationnels des piles aux ions lithium. Toutefois, la plupart de ces études ont porté sur l’estimation d’un nombre limité de paramètres et se sont attardées sur un seul type de matériau pour l’électrode positive utilisé dans la fabrication des piles Li-ion. De plus, le couplage qui existe entre les paramètres électrochimiques et thermo-physiques est complètement ignoré. Le but principal de cette thèse est de développer une méthode générale pour identifier simultanément différents paramètres électrochimiques et thermo-physiques et de prédire la performance des piles Li-ion à base de différents matériaux d’électrodes positives. Pour atteindre ce but, une méthode inverse efficace a été introduite. Des modèles directs représentatifs des piles Li-ion à base de différents matériaux d’électrodes positives ont également été développés. Un modèle rapide et précis simulant la performance de piles Li-ion avec des électrodes positives à base de LiMn2O4 ou de LiCoO2 est présenté. Également, deux modèles ont été développés pour prédire la performance des piles Li-ion avec une électrode positive de LiFePO4. Le premier, appelé modèle mosaïque modifié (MM), est basé sur une approche macroscopique alors que le deuxième, appelé le modèle mésoscopique, est plutôt basé sur une approche microscopique. Des études d’estimation de paramètres ont été conduites en utilisant les modèles développés et des données expérimentales fournies par Hydro-Québec. Tous les paramètres électrochimiques et thermo-physiques des piles Li-ions ont été simultanément identifiés et appliqués à la prédiction de la performance des piles. Finalement, une technique en temps réel reposant sur des réseaux de neurones est introduite dans la méthode d’estimation des paramètres intrinsèques au piles Li-ion.
Abstract : The safety of many electrical systems is strongly dependent on the reliable operation of their lithium-ion (Li-ion) battery packs. As a result, the battery packs must be monitored by a battery management system (BMS). The BMS interacts with all the components of the system so as to maintain the integrity of the batteries. The main part of a BMS is a Li-ion battery model that simulates and predicts its different operating points. In the electronics and in the automobile industries, the BMS usually rests on simple empirical models. They are however unable to predict the battery parameters as it ages. Furthermore, they are only applicable to a specific cell. Electrochemical-based models are, on the other hand, more sophisticated and more precise. These models are based on chemical/electrochemical kinetics and transport equations. They may be used to simulate the Li-ion battery characteristics and reactions. In order to run the electrochemical-based mathematical models, it is imperative to know the different electrochemical and thermophysical parameters of the battery. The significant variables of the Li-ion battery can be classified into three groups: geometric, material and operational parameters. The geometric and material parameters can be easily obtained from direct measurements or from the datasheets provided by the manufacturer. The operational properties are, on the other hand, not easily available. Furthermore, some of them may vary according to the measurement techniques or the battery age. Sometimes, the measurement of these parameters requires the dismantling of the battery itself, which is a risky and destructive procedure. Many investigations have been conducted to identify the operational parameters of Li-ion batteries. However, most of these studies focused on the estimation of limited parameters, or considered only one type of the positive electrode materials used in Li-ion batteries. Moreover, the coupling of the thermophysical parameters to the electrochemical variables is ignored in all of them. The main goal of this thesis is to develop a general method to simultaneously identify different electrochemical and thermophysical parameters and to predict the performance of Li-ion batteries with different positive electrode materials. To achieve this goal, an effective inverse method is introduced. Also, direct models representative of Li-ion batteries are developed, applicable for all of the positive electrode materials. A fast and accurate model is presented for simulating the performance of the Li-ion batteries with the LiMn2O4 and LiCoO2 positive electrodes. Moreover, two macro- and micro-based models are developed for predicting the performance of Li-ion battery with the LiFePO4 positive electrode, namely the Modified Mosaic (MM) and the mesoscopic-based models. The parameter estimation studies are then implemented by means of the developed direct models and experimental data provided by Hydro-Québec. All electrochemical and thermophysical parameters of the Li-ion batteries are simultaneously identified and applied for the prediction of the battery performance. Finally, a real-time technique resting on neural networks is used for the estimation of the Li-ion batteries intrinsic parameters.
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Claudel, Dimitri. "Modélisation et identification de lois rhéologiques de polymères chargés : Application au procédé de moulage par injection de poudres de superalliages." Thesis, Besançon, 2016. http://www.theses.fr/2016BESA2069.

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Le sujet de thèse de doctorat s’inscrit dans le cadre d’un projet de recherche collaboratif entre l’Institut FEMTO-ST et le groupe SAFRAN/SNECMA. Une partie des travaux de cette thèse concerne les caractérisations thermo-physiques de polymères chargés pour différentes nuances et granulométries de poudres de superalliage destinés à être mis en forme par le procédé de Moulage par Injection de Poudre. Pour ces travaux de thèse de doctorat, trois nuances de polymères chargés composé de poudres de superalliages ont été investiguées. Deux nuances sont composées de poudres utilisées par Snecma en réparation (René 80®/Amdry D15® et RBD61) et un autre est composée de poudre d’Inconel 718. Différentes caractérisations ont été réalisées et ont permis d’optimiser le développement de mélanges chargés conduisant à l’élaboration de matériaux homogènes et injectables tout en possédant des taux de charge en poudres les plus élevés possible.Les résultats de ces travaux sont ensuite utilisés afin d’identifier différents termes présents dans les modèles analytiques de rhéologie usuels. Le développement de modèles de rhéologies spécifiques a été réalisé en incorporant aux lois rhéologiques usuelles différents termes dépendant de la surface spécifique, de la viscosité des liants employés au sein de la formulation. Le développement de ces modèles de viscosité de plus en plus complets permet d’améliorer les lois de comportements et de mieux décrire le comportement rhéologique de polymères chargés. Enfin, une simulation de l’étape de moulage par injection d’un composant aéronautique a été réalisée à l’aide du logiciel Moldflow© pour la nuance de René 80®/Amdry D15®
The works presented in this paper were realized in collaboration between the mechanical department of FEMTO-ST Institute and the company SAFRAN/SNECMA. A part of the works of this thesis focused the thermo-physical characterizations of loaded polymers that is mixtures based of thermoplastic binders and metallic powders suitable be shaped by powder injection molding process.For this work, three different loaded mixtures composed of superalloy powder were investigated.Two were supplied by SAFRAN/SNECMA used to repair (Rene80®/AmdryD15® and RBD61) and another is composed of Inconel 718 powder. Characterizations were to carry out to optimize the development of loaded polymers and to obtain homogenous materials with high solid fraction. Then, the data were used to identified parameters of usual rheological laws. The development of specific rheological models were realized by including different parameters related to the specific surface area, binder viscosities used in the formulation. The development of these models increasingly exhaustive allows the improvement of behavior laws and to better describe the rheological behavior of superalloy-loaded polymers. Finally, a simulation of the injection molding stage of a aeronautical component was realized in the Moldflow© software for the Rene80®/AmdryD15® loaded polymer
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Iurzhenko, Maksym. "Electrical, thermomechanical and sorption properties of hybrid organic-inorganic systems based on urethane oligomers and silicates." Phd thesis, Université Claude Bernard - Lyon I, 2009. http://tel.archives-ouvertes.fr/tel-00689865.

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L'objectif de cette recherche est d'établir des mécanismes de formation de la structure des systèmes hybrides organique-inorganique à base des oligomères uréthane et silicates en fonction de la réactivité de la composant organique, d'identifier l'impact de l'organisation structurelle du OIS obtenue sur leurs propriétés électriques et thermomécaniques, de sorption et de l'activité du capteur. La signification pratique des résultats est la détermination de l'impact de la réactivité composant organique sur la structure des systèmes hybrides polymère organique-inorganique avec la possibilité d'obtenir des matériaux avec des propriétés spéciales prévisibles. Les résultats peuvent être utilisés comme base scientifique pour comprendre l'interconnexion de la structure, les propriétés et les moyens de leur régulation en direction de systèmes hybrides polymère organique-inorganique. La sensibilité très élevée pour les différents types de solvants, qui, combiné avec une haute sélectivité, a été révélé pour les systèmes de synthèse, la possibilité de leur utilisation pratique en tant que matières capteur existe.
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Monzon, Davila Lena Soledad. "Avaliação do congelamento de solução modelo por condutividade termica." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/255756.

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Анотація:
Orientador: Vivaldo Silveira Junior
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia de Alimentos
Made available in DSpace on 2018-08-08T21:44:28Z (GMT). No. of bitstreams: 1 MonzonDavila_LenaSoledad_M.pdf: 1297499 bytes, checksum: 0150b5616aa8630cf25a2830c9e27b00 (MD5) Previous issue date: 2007
Resumo: As propriedades termofisicas dos alimentos são requeridas para o cálculo de tempo de processamento em projetos de equipamentos para a indústria de alimentos. Os processos de congelamento exigem dados precisos das propriedades térmicas do produto, tais como condutividade térmica, fração de gelo, calor específico e entalpia. A necessidade do conhecimento do comportamento destas propriedades tem levado ao desenvolvimento de alguns modelos matemáticos para suas predições. A condutividade térmica dos alimentos é uma propriedade fortemente dependente da composição química e da temperatura do alimento. Neste trabalho compararam-se os resultados experimentais de condutividade térmica de soluções modelo congeladas em três diferentes velocidades de congelamento, utilizando o método da sonda linear de aquecimento, com os obtidos pelo modelo matemático ¿Maxwell-Eucken¿ ou disperso como função da fração de gelo contida nos alimentos. Foi obtida uma divergência com o modelo por não considerar a velocidade de congelamento. Determinou-se que a condutividade térmica é uma propriedade termofísica diretamente proporcional ao aumento da velocidade de congelamento Os valores de condutividade térmica das amostras foram calculados através da inclinação obtida da regressão linear determinada pelo perfil do logaritmo natural do tempo versus temperatura. Os resultados da condutividade térmica foram correlacionados com as velocidades de congelamento e com a fração de gelo, indicando sua dependência devido à dispersão do gelo no produto
Abstract: The thermophysical properties of foods are required to calculate freezing time in the equipments design for foods industry. Freezing process demand exacts data of product thermal properties, as thermal conductivity, ice fraction, specific heat and enthalpy. The necessity of knowledge of the behavior of these properties has led to development of some mathematical models for their prediction. Thermal conductivity of foods is a property strongly dependent of chemical composition and food temperature. In this work, the experimental thermal conductivity results of model solutions freezing in three different velocities using line source probe method have been compared with the results obtained by the Maxwell-Eucken mathematical model or disperse as a function of ice fraction contained in foods, getting a divergence of the model for not considerer freezing velocities. Model solutions were frozen in three different velocities of freezing. Was determined that the thermal conductivity is a thermophysical property directly proportional to the increase of the freezing velocity. The thermal conductivity values of samples were calculated by the angular coefficient obtained by the linear regression which was determinate by the time natural logarithmic profile versus temperature. The thermal conductivity results were correlated with freezing velocities and ice fraction, indicating its dependence due to ice dispersion in the product
Mestrado
Mestre em Engenharia de Alimentos
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Мягкий, Олександр Валерійович. "Підвищення завадостійкості теплової дефектоскопії багатошарових конструкцій та трубопроводів". Thesis, Харківський національний університет радіоелектроніки, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/40779.

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Дисертаційна робота на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.11.13 – прилади і методи контролю та визначення складу речовини. – Харківський національний університет радіоелектроніки, Харків, 2019. Дисертація присвячена підвищенню завадостійкості теплової дефектоскопії багатошарових стільникових конструкцій і трубопроводів шляхом зниження завад в тепловому неруйнівному контролі як за рахунок вибору режиму контролю за критерієм максимуму відношення сигнал / завада, так і за допомогою подальшої комп'ютерної обробки отриманих експериментальних даних. Запропоновано теплофізичні моделі багатошарових стільникових конструкцій і трубопроводів. Розроблено програмний пакет "TermoPro_TFH_Statistic" і на його основі проведено чисельні експерименти по вибору режимів теплової дефектоскопії. Проведено ряд натурних і лабораторних експериментів з дослідження впливу завад на тепловий неруйнівний контроль. Розроблено ряд фільтрів, а також послідовність їх застосування для істотного зниження рівня завад при проведенні ТДС. Завдяки цьому підвищилась чутливість теплової дефектоскопії до виявлення дефектів типу "непроклей" в стільникових структурах – розмір порогового дефекту знижений з 6 мм до 3 мм, а достовірність їх виявлення зросла на 17-20%.
The dissertation on the receipt of scientific degree of candidate of engineering sciences on speciality 05.11.13 – devices and methods of testing and materials composition determination. Kharkiv National University of Radio Electronics, Kharkiv, 2019. The dissertation is devoted to the question of immunity to interference improvement in the thermal non-destructive testing of multilayered honeycomb constructions and pipelines, both by the monitoring mode selection with the criterion of maximum signal-to-interference ratio, and by the further computer processing of obtained experimental data. Thermophysical models of multilayered honeycomb constructions are proposed. The software package "TermoPro_TFH_Statistic" was worked out and number of experiments at the thermal flaw detection modes selection were performed on its basis. A number of full-size and laboratory-scale experiments were conducted to investigate the interference effect on thermal non-destructive testing. A number of filters have been worked out, as well as the sequence of their use to significantly reduce the interference level during the thermal flaw detection. Due to this, the sensitivity of thermal defectoscopy to detection of defects of the "non-adhesive" type in honeycomb structures increased – the size of the threshold defect was decreased from 6mm to 3mm, and the reliability of their detection increased by 17-20%.
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Мягкий, Олександр Валерійович. "Підвищення завадостійкості теплової дефектоскопії багатошарових конструкцій та трубопроводів". Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/40777.

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Дисертаційна робота на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.11.13 - прилади і методи контролю та визначення складу речовини. – Харківський національний університет радіоелектроніки, Харків, 2019. Дисертація присвячена підвищенню завадостійкості теплової дефектоскопії багатошарових стільникових конструкцій і трубопроводів шляхом зниження завад в тепловому неруйнівному контролі як за рахунок вибору режиму контролю за критерієм максимуму відношення сигнал / завада, так і за допомогою подальшої комп'ютерної обробки отриманих експериментальних даних. Запропоновано теплофізичні моделі багатошарових стільникових конструкцій і трубопроводів. Розроблено програмний пакет "TermoPro_TFH_Statistic" і на його основі проведено чисельні експерименти по вибору режимів теплової дефектоскопії. Проведено ряд натурних і лабораторних експериментів з дослідження впливу завад на тепловий неруйнівний контроль. Розроблено ряд фільтрів, а також послідовність їх застосування для істотного зниження рівня завад при проведенні ТДС. Завдяки цьому підвищилась чутливість теплової дефектоскопії до виявлення дефектів типу "непроклей" в стільникових структурах – розмір порогового дефекту знижений з 6 мм до 3 мм, а достовірність їх виявлення зросла на 17 -20%.
The dissertation on the receipt of scientific degree of candidate of engineering sciences on speciality 05.11.13 – devices and methods of testing and materials composition determination. Kharkiv National University of Radio Electronics, Kharkiv, 2019. The dissertation is devoted to the question of immunity to interference improvement in the thermal non-destructive testing of multilayered honeycomb constructions and pipelines, both by the monitoring mode selection with the criterion of maximum signal-to-interference ratio, and by the further computer processing of obtained experimental data. Thermophysical models of multilayered honeycomb constructions are proposed. The software package "TermoPro_TFH_Statistic" was worked out and number of experiments at the thermal flaw detection modes selection were performed on its basis. A number of full-size and laboratory-scale experiments were conducted to investigate the interference effect on thermal non-destructive testing. A number of filters have been worked out, as well as the sequence of their use to significantly reduce the interference level during the thermal flaw detection. Due to this, the sensitivity of thermal defectoscopy to detection of defects of the "non-adhesive" type in honeycomb structures increased – the size of the threshold defect was decreased from 6mm to 3mm, and the reliability of their detection increased by 17-20%.
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Messerly, Richard Alma. "How a Systematic Approach to Uncertainty Quantification Renders Molecular Simulation a Quantitative Tool in Predicting the Critical Constants for Large n-Alkanes." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6598.

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Accurate thermophysical property data are crucial for designing efficient chemical processes. For this reason, the Design Institute for Physical Properties (DIPPR 801) provides evaluated experimental data and prediction of various thermophysical properties. The critical temperature (Tc), critical density (ρc), critical pressure (Pc), critical compressibility factor (Zc), and normal boiling point (Tb) are important constants to check for thermodynamic consistency and to estimate other properties. The n-alkane family is of primary interest because it is generally assumed that other families of compounds behave similarly to the n-alkane family with increasing chain-length. Unfortunately, due to thermal decomposition, experimental measurements of Tc, ρc, and Pc for large n-alkanes are scarce and potentially unreliable. For this reason, molecular simulation is an attractive alternative for estimating the critical constants. However, molecular simulation has often been viewed as a tool that is limited to providing qualitative insight. One key reason for this perceived weakness is the difficulty in quantifying the uncertainty of the simulation results. This research focuses on a systematic top-down approach to quantifying the uncertainty in Gibbs Ensemble Monte Carlo (GEMC) simulations for large n-alkanes. We implemented four different methods in order to obtain quantitatively reliable molecular simulation results. First, we followed a rigorous statistical analysis to assign the uncertainty of the critical constants when obtained from GEMC. Second, we developed an improved method for predicting Pc with the standard force field models in the literature. Third, we implemented an experimental design to reduce the uncertainty associated with Tc, ρc, Pc, and Zc. Finally, we quantified the uncertainty associated with the Lennard-Jones 12-6 potential parameters. This research demonstrates how uncertainty quantification renders molecular simulation a quantitative tool for thermophysical property evaluation. Specifically, by quantifying and reducing the uncertainty associated with molecular simulation results, we were able to discern between different experimental data sets and prediction models for the critical constants. In this regard, our results enabled the development of improved prediction models for Tc, ρc, Pc, and Zc for large n-alkanes. In addition, we developed a new Tb prediction model in order to ensure thermodynamic consistency between Tc, Pc, and Tb.
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Miehe, Anja. "Numerical investigation of horizontal twin-roll casting of the magnesium alloy AZ31." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2014. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-149625.

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The horizontal twin-roll casting (TRC) process is an energy saving and cost-efficient method for producing near-net-shape sheets of castable metals for light-weight production. In order to investigate the TRC process numerically, a code is generated in OpenFOAM and the commercial software STAR-CCM+ is used. Both are validated with the Stefan problem, the gallium melting test case, and a continuous casting experiment for magnesium AZ31. Different solidification models are tested that are similar to solution domain definitions and solid-fraction temperature relations. The comparison with temperature measurements of the MgF GmbH Freiberg pilot plant and the final microstructure exhibits good correlation. Sensitivity studies are carried out for thermophysical properties of AZ31 as well as pilot plant parameters. Furthermore, the rolls are incorporated into the simulation to determine the effect of a location-dependent heat-transfer coefficient. Finally, the results are compared to a second pilot plant situated at the Helmholtz-Centre Geesthacht in order to explore differences and similarities
Das horizontales Gießwalzen ist eine energiesparende und kostengünstige Methode zur Erzeugung von Flachprodukten, die im Leichtbau verwendet werden. Um dieses Verfahren numerisch zu untersuchen wurde ein Programmcode in OpenFOAM entwickelt und die kommerzielle Software STAR-CCM+ verwendet, wobei beide mit dem Stefan Problem, dem Schmelzen von Gallium und Messdaten des Stranggusses von Magnesium AZ31 validiert wurden. Verschiedene Erstarrungsmodelle werden ebenso getestet wie Variationen des Simulationsbereiches und Feststoff-Temperatur-Verläufe. Vergleiche mit Temperaturmessdaten der Pilotanlage MgF GmbH Freiberg und der finalen Mikrostruktur zeigen gute Übereinstimmungen. Sensitivitätsanalysen werden durchgeführt, um die Einflüsse von thermophysikalischen Eigenschaften und Anlagenparametern abzuschätzen. Des Weiteren werden die Walzen in die Simulation mit einbezogen, um den Effekt eines lokal veränderlichen Wärmeübergangskoeffizienten zu beurteilen. Schließlich werden die Ergebnisse mit denen einer zweiten Pilotanlage am Helmholtz-Zentrum Geesthacht verglichen
Le laminage de coulée continue horizontal possède une faible consommation d’énergie et est bon marché pour la production des feuilles de métaux coulables utilisés dans la construction légère. Afin d’examiner ce processus numériquement, un code est généré dans OpenFOAM et le logiciel commercial STAR-CCM+ est utilisé, tous les deux sont validés en utilisant le problème de Stefan, la fusion du gallium et la coulée continue verticale de magnésium AZ31. Plusieurs modèles de solidification sont testés, ainsi que la variation du domaine de simulation, et des rélations entre la teneur en matière solide et la température. Des comparaisons avec des résultats de mesures de la température à l’installation pilote de MgF GmbH Freiberg ainsi que la microstructure donnent des bons résultats. Des analyses de sensibilité sont effectuées afin d’évaluer l’influence des propriétés thermophysiques et des paramètres de l’installation. De plus, les cylindres sont intégrés dans la simulation pour estimer l’impact du coefficient de transfert de chaleur dépendant du lieu. Finalement, les résultats sont comparés avec ceux du Helmholtz-Centre Geesthacht
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Книги з теми "Thermophysical model"

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Magee, Joseph W. Thermophysical properties measurements and models for rocket propellant RP-1: Phase I. Boulder, Colo: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2007.

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Kudinov, Igor', Anton Eremin, Konstantin Trubicyn, Vitaliy Zhukov, and Vasiliy Tkachev. Vibrations of solids, liquids and gases taking into account local disequilibrium. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1859642.

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The monograph presents the results of the development and research of new mathematical models of the processes of vibrations of solids, liquids and gases, taking into account local disequilibrium. To derive differential equations, the Navier—Stokes equations, Newton's second law and modified formulas of the classical empirical laws of Fourier, Hooke, Newton are used, which take into account the velocities and accelerations of the driving forces (gradients of the corresponding quantities) and their consequences (heat flow, normal and tangential stresses). The conditions for the occurrence of shock waves of stresses and displacements in dynamic thermoelasticity problems formulated taking into account relaxation phenomena in thermal and thermoelastic problems are investigated, new results are obtained in the study of longitudinal and transverse vibrations of rods, strings, liquids and gases, and the conditions for the excitation of gas self-oscillations arising from a time-constant heat source are determined. It is intended for scientific and technical workers specializing in mathematics, thermophysics, thermoelasticity, as well as teachers and students of technical universities.
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Thermophysical Properties of Metallic Liquids Vol. 2: Predictive Models. Oxford University Press, 2015.

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Transition and turbulence modeling for blunt-body wake flows: Abstract of paper proposed for the 32nd AIAA Thermophysics Conference, June 23-25, 1997, Atlanta, Georgia. [Washington, DC: National Aeronautics and Space Administration, 1997.

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J, Horvath Thomas, Hassan H. A, and United States. National Aeronautics and Space Administration., eds. Transition and turbulence modeling for blunt-body wake flows: Abstract of paper proposed for the 32nd AIAA Thermophysics Conference, June 23-25, 1997, Atlanta, Georgia. [Washington, DC: National Aeronautics and Space Administration, 1997.

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Частини книг з теми "Thermophysical model"

1

Raabe, Gabriele. "Molecular Models (Force Fields)." In Molecular Simulation Studies on Thermophysical Properties, 145–89. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3545-6_6.

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Ustjuzhanin, E. E., B. F. Reutov, V. F. Utenkov, and V. A. Rykov. "Combined models of thermophysical properties along the coexistence curve." In Soft Matter under Exogenic Impacts, 325–38. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5872-1_21.

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Coutinho, João A. P., and Ramesh L. Gardas. "Predictive Group Contribution Models for the Thermophysical Properties of Ionic Liquids." In ACS Symposium Series, 385–401. Washington DC: American Chemical Society, 2009. http://dx.doi.org/10.1021/bk-2009-1030.ch025.

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"Details of METALS model to calculate the thermophysical properties of alloys." In Recommended Values of Thermophysical Properties for Selected Commercial Alloys, 233–44. Elsevier, 2002. http://dx.doi.org/10.1016/b978-1-85573-569-9.50043-5.

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Leão Ferreira, Ivaldo, José Adilson de Castro, and Amauri Garcia. "On the Determination of Molar Heat Capacity of Transition Elements: From the Absolute Zero to the Melting Point." In Recent Advances on Numerical Simulations [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96880.

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Molar specific heat is one of the most important thermophysical properties to determine the sensible heat, heat of transformation, enthalpy, entropy, thermal conductivity, and many other physical properties present in several fields of physics, chemistry, materials science, metallurgy, and engineering. Recently, a model was proposed to calculate the Density of State by limiting the total number of modes by solid–liquid and solid–solid phase nucleation and by the entropy associated with phase transition. In this model, the new formulation of Debye’s equation encompasses the phonic, electronic, and rotational energies contributions to the molar heat capacity of the solids. Anomalies observed in the molar specific heat capacity, such as thermal, magnetic, configurational transitions, and electronic, can be treated by their transitional entropies. Model predictions are compared with experimental scatter for transitional elements.
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"Activity Coefficient Models." In Thermophysical Properties of Fluids, 161–206. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 1996. http://dx.doi.org/10.1142/9781848161054_0007.

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Vaferi, Behzad. "Application of Artificial Neural Networks for Accurate Prediction of Thermal and Rheological Properties of Nanofluids." In Deterministic Artificial Intelligence. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.89101.

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Nanofluids have recently been considered as one of the most popular working fluid in heat transfer and fluid mechanics. Accurate estimation of thermophysical properties of nanofluids is required for the investigation of their heat transfer performance. Thermal conductivity coefficient, convective heat transfer coefficient, and viscosity are some the most important thermophysical properties that directly influence on the application of nanofluids. The aim of the present chapter is to develop and validate artificial neural networks (ANNs) to estimate these thermophysical properties with acceptable accuracy. Some simple and easy measurable parameters including type of nanoparticle and base fluid, temperature and pressure, size and concentration of nanoparticles, etc. are used as independent variables of the ANN approaches. The predictive performance of the developed ANN approaches is validated with both experimental data and available empirical correlations. Various statistical indices including mean square errors (MSE), root mean square errors (RMSE), average absolute relative deviation percent (AARD%), and regression coefficient (R2) are used for numerical evaluation of accuracy of the developed ANN models. Results confirm that the developed ANN models can be regarded as a practical tool for studying the behavior of those industrial applications, which have nanofluids as operating fluid.
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Iida, Takamichi, and Roderick I. L. Guthrie. "Predictive Models for Volume Expansivity." In The Thermophysical Properties of Metallic Liquids, 397–418. Oxford University Press, 2015. http://dx.doi.org/10.1093/acprof:oso/9780198729846.003.0012.

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Heldman, Dennis. "Prediction Models of Thermophysical Properties of Foods." In Food Science and Technology. CRC Press, 2001. http://dx.doi.org/10.1201/9780203908105.ch1.

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"Gas/Surface Scatter Models for Satellite Applications." In Thermophysical Aspects of Re-Entry Flows, 97–119. New York: American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/5.9781600865770.0097.0119.

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Тези доповідей конференцій з теми "Thermophysical model"

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Loveday, D. L. "Thermophysical simulation for on-line model initialisation." In UKACC International Conference on Control (CONTROL '98). IEE, 1998. http://dx.doi.org/10.1049/cp:19980485.

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Orosco, Jeremy, and Carlos F. Coimbra. "Thermophysical Model for the Infrared Emissivity of Metals." In AIAA Scitech 2019 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-1280.

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Günay, S. D., B. Akgenç, Ü Akdere та Ç Taşseven. "Thermophysical properties of α−Pu2O3: A new potential model". У 3RD INTERNATIONAL ADVANCES IN APPLIED PHYSICS AND MATERIALS SCIENCE CONGRESS. AIP, 2013. http://dx.doi.org/10.1063/1.4849260.

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Popov, Stoyan, Rad Stanev, Silvia Baeva, and Nikolay Hinov. "Stochastic model for microgrid load forecasting." In THERMOPHYSICAL BASIS OF ENERGY TECHNOLOGIES (TBET 2020). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0041882.

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Stetina, Josef, Frantisek Kavicka, Bohumil Sekanina, and Jaromir Heger. "The Influence of Thermophysical Properties on a Numerical Model of Solidification." In ASME 2002 Pressure Vessels and Piping Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/pvp2002-1202.

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Solidification and cooling of a (con)casting, with the simultaneous heating of the mold, is a case of transient spatial heat and mass transfer. This paper introduces an original and universal numerical model of solidification, cooling and heating, of a one-to-three-dimensional stationary and transient temperature field in a system comprising the casting, the mold and its surroundings. This model simulates both traditional as well as non-traditional technologies of casting conducted in foundries, metallurgical plants, forging operations, heat-treatment processes, etc. The casting process is influenced not only by the thermophysical properties (i.e. heat conductivity, the specific heat capacity and density in the solid and liquid states) of the metallic and non-metallic materials, but also by the precision with which the numerical simulation is conducted. Determining these properties is often more demanding than the actual calculation of the temperature field of the solidifying object. Since the influence of individual properties should be neither under- nor over-estimated, it is necessary to investigate them via a parametric study. It is also necessary to determine the order of these properties in terms of their importance.
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Lapina, Anna, and Natalia Smirnyagina. "Thermophysical Model of Electron Beam Boriding of Titanium Alloy VT-1." In 2020 7th International Congress on Energy Fluxes and Radiation Effects (EFRE). IEEE, 2020. http://dx.doi.org/10.1109/efre47760.2020.9241923.

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Krepel, Jiri. "Thermophysical Analysis of the ADS Systems." In 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22681.

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For the Thermophysical analysis of the Accelerator Driven Systems (ADS) an simplified model of ADS core was used. The neutron flux was calculated by means of diffusion theory for subcritical homogeneous reactor with an external neutron source. From this result the distribution of the heat sources was found and next the distribution of temperatures was calculated.
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Gilev, Bogdan, and Nikolay Hinov. "Model-based synthesis of control for power electronic converters." In THERMOPHYSICAL BASIS OF ENERGY TECHNOLOGIES (TBET 2020). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0041944.

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Baeva, Silvia, Rad Stanev, Stoyan Popov, and Nikolay Hinov. "Stochastic model for prediction of microgrid photovoltaic power generation." In THERMOPHYSICAL BASIS OF ENERGY TECHNOLOGIES (TBET 2020). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0041825.

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Shvab, Alexander, and Vladimir Brendakov. "Mathematical model of the fluorination process of metallic tungsten." In THERMOPHYSICAL BASIS OF ENERGY TECHNOLOGIES (TBET 2020). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0046625.

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Звіти організацій з теми "Thermophysical model"

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McKinnon, Mark, and Daniel Madryzkowski. Literature Review to Support the Development of a Database of Contemporary Material Properties for Fire Investigation Analysis. UL Firefighter Safety Research Institute, June 2020. http://dx.doi.org/10.54206/102376/wmah2173.

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The NIJ Technology Working Group’s Operational Requirements (TWG ORs) for Fire and Arson Investigation have included several scientific research needs that require knowledge of the thermophysical properties of materials that are common in the built environment, and therefore likely to be involved in a fire scene. The specific areas of research include: adequate materials property data inputs for accurate computer models, understanding the effect of materials properties on the development and interpretation of fire patterns, and evaluation of incident heat flux profiles to walls and neighboring items in support of fire model validation. These topics certainly address, in a concise way, many of the gaps that limit the analysis capability of fire investigators and engineers. Each of the three aforementioned research topics rely, in part, on accurate knowledge of the physical conditions of a material prior to the fire, how the material will respond to the exposure of heat, and how it will perform once it has ignited. This general information is required to visually assess a fire scene. The same information is needed by investigators to estimate the evolution and consequences of a fire incident using a computer model. Data sources that are currently most commonly used to determine the required properties and model inputs are outdated and incomplete. This report includes the literature review used to provide a technical approach to developing a materials database for use in fire investigations and computational fire models. A summary of the input from the project technical panel is presented which guided the initial selection of materials to be included in the database as well as the selection of test measurements.
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Magee, Joseph W., Thomas J. Bruno, Daniel G. Friend, Marcia L. Huber, Arno Laesecke, Eric W. Lemmon, Mark O. McLinden, Richard A. Perkins, Jörg Baranski, and Jason A. Widegren. Thermophysical properties measurements and models for rocket propellant RP-1:. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.6646.

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