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Добірка наукової літератури з теми "Thermal parameters identification"

Автор: Grafiati

Опубліковано: 13 квітня 2024

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Статті в журналах з теми "Thermal parameters identification"

Whalley, R., and D. Mitchell. "The identification of engineering system parameters." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 211, no. 1 (February 1, 1997): 1–14. http://dx.doi.org/10.1243/0959651971539641.

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A procedure enabling the identification of the mass/inertia, damping and stiffness matrices for mechanical systems or the analogous inductance, resistance and capacitance matrices for electrical, fluid or thermal systems from measured results is developed. Analytical constraints that are mandatory are defined. Illustrative examples are provided.

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Rose, L., and A. Menzel. "Identification of thermal material parameters for thermo-mechanically coupled material models." Meccanica 56, no. 2 (January 18, 2021): 393–416. http://dx.doi.org/10.1007/s11012-020-01267-2.

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AbstractThe possibility of accurately identifying thermal material parameters on the basis of a simple tension test is presented, using a parameter identification framework for thermo-mechanically coupled material models on the basis of full field displacement and temperature field measurements. Main objective is to show the impact of the material model formulation on the results of such an identification with respect to accuracy and uniqueness of the result. To do so, and as a proof of concept, the data of two different experiments is used. One experiment including cooling of the specimen, due to ambient temperature, and one without specimen cooling. The main constitutive relations of two basic material models are summarised (associated and non-associated plasticity), whereas both models are extended so as to introduce an additional material parameter for the thermodynamically consistent scaling of dissipated energy. The chosen models are subjected to two parameter identifications each, using the data of either experiment and focusing on the determination of thermal material parameters. The influence of the predicted dissipated energy of the models on the identification process is investigated showing that a specific material model formulation must be chosen carefully. The material model with associated evolution equations used within this work does neither allow a unique identification result, nor is any of the solutions for the underlying material parameters close to literature values. In contrast to that, a stable, that is locally unique, re-identification of the literature values is possible for the boundary problem at hand if the model with non-associated evolution equation is used and if cooling is included in the experimental data.

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Garmendia, Iñaki, and Eva Anglada. "Thermal parameters identification in the correlation of spacecraft thermal models against thermal test results." Acta Astronautica 191 (February 2022): 270–78. http://dx.doi.org/10.1016/j.actaastro.2021.11.025.

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Bouache, T., K. Limam, and W. Bosschaerts. "New thermal parameters identification approach applied to the thermal renovation of buildings." Energy and Buildings 104 (October 2015): 156–64. http://dx.doi.org/10.1016/j.enbuild.2015.06.077.

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Monika, Božiková, Hlaváč Petr, Híreš Ľubomír, Hlaváčová Zuzana, Valach Michal, Vozárová Vlasta, and Malínek Martin. "Temperature effect on various biooils physical parameters." Research in Agricultural Engineering 63, No. 4 (December 7, 2017): 145–51. http://dx.doi.org/10.17221/60/2015-rae.

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The article deals with thermal and rheological properties of two selected biooils (PL 64S – sample No. 1, and PL 04N – sample No. 2). For thermal parameters measurements, Hot wire method was used, for detection of rheological parameters rheometer Anton Paar MCR 102 was used and the density was measured by densimeter DM 40. For both biooil samples, two series of thermophysical parameters measurements were made. In the first series thermal conductivity and thermal diffusivity were measured at constant laboratory temperature. The second series was focused on identification of thermophysical parameters changes during temperature stabilisation. The parameters as dynamic viscosity, kinematic viscosity and density were measured in the temperature range (20–50°C). For samples with constant temperature basic statistical characteristics were calculated – standard deviation and probable error in %. For relations of thermal and rheological parameters to temperature nonlinear dependencies were obtained. The polynomial functions of the second degree were used for thermal parameters and exponential functions for rheological parameters.

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Ghafiri, Abdelaaziz, Jamal Chaoufi, Claude Vallee, El Hanafi Arjdal, Jean Christophe Dupre, Arnaud Germaneau, Kossi Atchonouglo, and Hassan Fatmaoui. "Identification of Thermal Parameters by Treating the Inverse Problem." International Journal of Computer Applications 87, no. 11 (February 14, 2014): 1–5. http://dx.doi.org/10.5120/15249-3719.

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SAKAGAMI, Takahide, Daisuke IMANISHI, and Shiro KUBO. "301 Identification of Defect Parameters by Thermal Response Spectroscopy." Proceedings of The Computational Mechanics Conference 2005.18 (2005): 131–32. http://dx.doi.org/10.1299/jsmecmd.2005.18.131.

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Matiašovský, Peter. "The equivalent thermal parameters, their analytical and experimental identification." Solar Energy Materials and Solar Cells 27, no. 2 (July 1992): 119–26. http://dx.doi.org/10.1016/0927-0248(92)90114-5.

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Liu, G. R., J. H. Lee, A. T. Patera, Z. L. Yang, and K. Y. Lam. "Inverse identification of thermal parameters using reduced-basis method." Computer Methods in Applied Mechanics and Engineering 194, no. 27-29 (July 2005): 3090–107. http://dx.doi.org/10.1016/j.cma.2004.08.003.

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Bondarchuk, Ivan, Valery Perevozkin, Sergey Bondarchuk, and Alexander Vorozhtsov. "Identification of the Kinetic Parameters of Thermal Micro-organisms Inactivation." Applied Sciences 12, no. 22 (November 12, 2022): 11505. http://dx.doi.org/10.3390/app122211505.

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A mathematical model for estimating the characteristics of the process of thermal inactivation of vegetative bacterial cells and their spores is presented. The model relates the change rate of the number of living cells as a nonlinear kinetic dependence of the p-th order, and the temperature constant of their inactivation rate is the Arrhenius function. A method for solving the inverse kinetic problem of identifying the parameters of this model from experimental data is proposed. The method is implemented through the minimization of the original functional, which reduces the number of variable parameters. The solution results of inverse problems for determining the kinetic model parameters based on the experimental data of thermal inactivation of bacterial spores B. subtilis and B. anthracis are presented. The obtained parameters are used to solve the direct problems of the dynamics of micro-organism inactivation. The calculation results represent the dependence on the time of the change number of inactivated micro-organisms, and the thermal exposure time for 99% of their deaths at different temperatures. A comparison of the results with other authors’ calculations and experimental data confirms the adequacy of the model, the high accuracy of the new solution method and the algorithm for its implementation. The developed model of thermal sterilization can be used for the selective deactivation of pathogens in the food products.

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Більше джерел

Дисертації з теми "Thermal parameters identification"

Urukalo, Djordje. "Thermal parameters identification and internal temperature bservation of DC actuators in robotics." Versailles-St Quentin en Yvelines, 2014. http://www.theses.fr/2014VERS0057.

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L'un des objectifs de ce travail est de mettre en œuvre une prévention de la fatigue des moteurs électriques à l'intérieur d'un robot humanoïde. Notre objectif est de développer des modèles thermiques localisés simplifiés pour des actionneurs à courant continu avec un contrôle de bas niveau, qui puissent être utilisés pour protéger le moteur d’une surchauffe et la destruction des enroulements. Le travail de recherche mené dans cette thèse est principalement centré sur la détermination des paramètres du modèle thermique et de l'influence des dits paramètres sur un actionneur réel. Deux processus d'identification différents sont mis en œuvre: une identification invasive et une identification non invasive, qui peut être peut être implémentée en temps réel. Transmission détermination de l'efficacité d'un actionneur spécifique pour deux scénarios différents se fait, où est pris en compte l'influence de la vitesse angulaire et égrenage de l'actionneur. La mise en œuvre de la prévention de la fatigue pour les moteurs électriques à l'intérieur d'un robot humanoïde est proposée dans ce travail. Les deux types d'observateurs pour l'observation interne (rotor) de la température sont implémentés, avec entrée connue et inconnue. L’observateur avec entrées connues est un observateur de Luenberger où le gain de l'observateur est bien réglé, et dans lequel la dépendance de la température à la résistance du fil de rotor est prise en compte. Travail l’observateur avec entrées non connues de température du rotor est d'une grande importance pour la robotique humanoïde, car il y a beaucoup de quantités non mesurables. Dans un système complexe tel un robot humanoïde, le temps de calcul et le prix doivent être réduits. Afin de satisfaire à ces exigeances, inconnu observateur d'entrée est recommandé. Des applications sur des robots humanoïdes (NAO) sont menées dans cette thèse, afin de valider notre travail
One of the objectives of this work is to implement fatigue prevention of electrical motors inside a humanoid robot. We aim to design the most simplified lumped thermal models for DC actuators with low-level control that can be used for motor protection to avoid too much warming and destruction of windings. The research conducted in this thesis is mainly centered on determination of thermal model parameters and influence on the thermal model parameters of a shelling actuator on real actuator benches. Two different identification processes are taken into account: invasive and non-invasive identification that can be implemented onsite in real time. Transmission efficiency determination of a specific actuator for two different scenarios is done, where is taken into account influence of angular velocity and actuator shelling. Fatigue implementation of prevention for electrical motors inside a humanoid robot is proposed in this work. The two types of observers for inner (rotor) temperature observation is conducted: rotor temperature observers with known and unknown input. Known input observer is Luenberger observer where observer gain is properly tuned and temperature dependence on rotor wire resistance is taken into account. Work on unknown input rotor temperature observer is of great importance in humanoid robotics, because there are many unmeasurable quantities. In complex system such as humanoid robots, computing time and price has to be reduced. In order to satisfy these conditions, unknown input observer is desirable to be used. Applications in humanoid robots are conducted in the thesis. In order to validate our work, NAO robot is used

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Dupuis, Quentin. "Identification des caractéristiques d'une carte électronique et de ses composants, et modélisation de leurs comportements thermiques." Electronic Thesis or Diss., Paris 10, 2023. http://www.theses.fr/2023PA100131.

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Le travail développé dans cette thèse est une contribution à l’identification via des mesures expérimentales des paramètres critiques pour la modélisation thermique d’une carte électronique et de ses composants. Dans une première partie, l’étude de l’évolution temporelle de la température de jonction d’un composant électronique soumis à une puissance thermique constante est proposée, ceci à partir de l’analyse graphique de sa Cumulative Structure Function. La présentation détaillée de toutes les étapes dans la construction de cette dernière est réalisée, ainsi que l’analyse des différents paramètres sensibles. L’identification de manière absolue des paramètres thermiques des différents matériaux d’un composant électronique est irréalisable. Néanmoins une étude relative permettant le calibrage de son modèle numérique détaillé est présentée. La seconde partie de cette thèse est consacrée à l’identification par méthodes inverses des caractéristiques d’un composant encastré au sein d’une carte électronique, à savoir sa position, ses dimensions et la puissance thermique qu’il dissipe. Pour atteindre cet objectif, un modèle numérique 3D basé sur la méthode des volumes finis a été implémenté, pour calculer en régime transitoire les transferts de chaleur par conduction qui s’établisse au sein de la structure d’étude. L’algorithme des gradients conjugués avec calcul de la variable adjointe est utilisé pour estimer les puissances thermiques volumiques dissipées, tandis que son couplage avec une fonction de minimisation unidimensionnelle permet d’identifier la position des sources de chaleur dans la profondeur de la structure. L’application de cette procédure à partir de données issues de simulations numériques ainsi que des mesures expérimentales ont permis de valider la méthode d’inversion
The work presented in this thesis is a contribution to the identification via experimental measurements of critical parameters for the thermal modelling of an electronic board and its components.First, the study of the temporal evolution of the junction temperature of an electronic component stimulated by a constant thermal power is proposed, based on the graphical analysis of its Cumulative Structure Function. All the steps involved in the construction of this function are presented in detail, together with an analysis of the various sensitive parameters. Absolute identification of the thermal parameters of the different materials of an electronic component is not feasible, but a relative study is presented to enable the calibration of its detailed numerical model.The second part of this thesis is devoted to the identification, using inverse methods, of the characteristics of a component embedded in an electronic board, namely its position, its dimensions, and its dissipated thermal power. To achieve this objective, a 3D numerical model based on the finite volume method was implemented to calculate the transient conductive heat transfer within the structure of study. The conjugate gradient algorithm with adjoint variable calculation is used to estimate the dissipated heat power density, while its coupling with a one-dimensional minimisation function permits to identify the position of the heat sources according to the depth of the structure. The application of this procedure to data from numerical simulations and experimental measurements has enabled to validate the inversion method

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Madrid, Lozano Francesc. "Thermal Conductivity and Specific Heat Measurements for Power Electronics Packaging Materials. Effective Thermal Conductivity Steady State and Transient Thermal Parameter Identification Methods." Doctoral thesis, Universitat Autònoma de Barcelona, 2005. http://hdl.handle.net/10803/5348.

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Phoenix, Austin Allen. "High Precision Thermal Morphing of the Smart Anisogrid Structure for Space-Based Applications." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/78824.

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To meet the requirements for the next generation of space missions, a paradigm shift is required from current structures that are static, heavy and stiff, to innovative structures that are adaptive, lightweight, versatile, and intelligent. This work proposes the use of a novel morphing structure, the thermally actuated anisogrid morphing boom, to meet the design requirements by making the primary structure actively adapt to the on-orbit environment. The proposed concept achieves the morphing capability by applying local and global thermal gradients and using the resulting thermal strains to introduce a 6 Degree of Freedom (DOF) morphing control. To address the key technical challenges associated with implementing this concept, the work is broken into four sections. First, the capability to develop and reduce large dynamic models using the Data Based Loewner-SVD method is demonstrated. This reduction method provides the computationally efficient dynamic models required for evaluation of the concept and the assessment of a vast number of loading cases. Secondly, a sensitivity analysis based parameter ranking methodology is developed to define parameter importance. A five parameter model correlation effort is used to demonstrate the ability to simplify complex coupled problems. By reducing the parameters to only the most critical, the resulting morphing optimization computation and engineering time is greatly reduced. The third piece builds the foundation for the thermal morphing anisogrid structure by describing the concept, defining the modeling assumptions, evaluating the design space, and building the performance metrics. The final piece takes the parameter ranking methodology, developed in part two, and the modeling capability of part three, and performs a trust-region optimization to define optimal morphing geometric configuration. The resulting geometry, optimized for minimum morphing capability, is evaluated to determine the morphing workspace, the frequency response capability, and the minimum and maximum morphing capability in 6 DOF. This work has demonstrated the potential and provided the technical tools required to model and optimize this novel smart structural concept for a variety of applications.
Ph. D.

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Andres, Matthias [Verfasser], and René [Akademischer Betreuer] Pinnau. "Improving thermal ablation of liver tumors: Modeling and parameter identification of laser-induced interstitial thermotherapy / Matthias Andres ; Betreuer: René Pinnau." Kaiserslautern : Technische Universität Kaiserslautern, 2021. http://d-nb.info/1233986619/34.

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Zhang, Ying. "Synthesis of Local Thermo-Physical Models Using Genetic Programming." Scholar Commons, 2009. https://scholarcommons.usf.edu/etd/103.

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Local thermodynamic models are practical alternatives to computationally expensive rigorous models that involve implicit computational procedures and often complement them to accelerate computation for real-time optimization and control. Human-centered strategies for development of these models are based on approximation of theoretical models. Genetic Programming (GP) system can extract knowledge from the given data in the form of symbolic expressions. This research describes a fully data driven automatic self-evolving algorithm that builds appropriate approximating formulae for local models using genetic programming. No a-priori information on the type of mixture (ideal/non ideal etc.) or assumptions are necessary. The approach involves synthesis of models for a given set of variables and mathematical operators that may relate them. The selection of variables is automated through principal component analysis and heuristics. For each candidate model, the model parameters are optimized in the inner integrated nested loop. The trade-off between accuracy and model complexity is addressed through incorporation of the Minimum Description Length (MDL) into the fitness (objective) function. Statistical tools including residual analysis are used to evaluate performance of models. Adjusted R-square is used to test model's accuracy, and F-test is used to test if the terms in the model are necessary. The analysis of the performance of the models generated with the data driven approach depicts theoretically expected range of compositional dependence of partition coefficients and limits of ideal gas as well as ideal solution behavior. Finally, the model built by GP integrated into a steady state and dynamic flow sheet simulator to show the benefits of using such models in simulation. The test systems were propane-propylene for ideal solutions and acetone-water for non-ideal. The result shows that, the generated models are accurate for the whole range of data and the performance is tunable. The generated local models can indeed be used as empirical models go beyond elimination of the local model updating procedures to further enhance the utility of the approach for deployment of real-time applications.

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Casetta, Damien. "Modèle d'aide à la conduite de réseaux de froid." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEM012.

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La maîtrise de la demande en climatisation des bâtiments tertiaires peut contribuer à la limitation du réchauffement climatique à 2°C. Les réseaux de froid urbain sont une solution pour répondre à cette demande avec une haute efficacité énergétique. Une conduite performante est cependant essentielle pour maintenir et augmenter leurs avantages compétitifs. L'objectif de la thèse est de contribuer à la construction d'un outil d'aide à la conduite journalière des réseaux de froid. La difficulté réside à deux niveaux : la diversité des décisions et la complexité des phénomènes physiques sous-jacents. L'originalité est de proposer une méthodologie pour aider au pilotage des groupes frigorifiques, des tours aéroréfrigérantes, de la pression différentielle et de la répartition de puissance entre des centrales de production aux performances variables. La méthodologie développée est appliquée au réseau de froid de Paris-Bercy exploité par Climespace. Tout d'abord, un modèle intégrant une représentation physique des centrales de production, du réseau de distribution et des sous-stations, est développé. En particulier, un modèle de type semi-empirique, paramétrable sur des mesures, est modifié pour calculer les performances non-nominales des groupes frigorifiques centrifuges. La validation du modèle complet est réalisée sur un jeu de données indépendant de l'identification. Ensuite, le modèle est exploité pour rechercher une conduite optimisée à partir d'un modèle de prévision de la demande. La méthode proposée est séquentielle : résolution a priori des optimisations locales puis génération de modèles quadratiques de centrales servant à déterminer la répartition optimale. La pression différentielle est minimisée à partir de l'identification, par simulation, de la sous-station défavorisée. Enfin, la réduction de la consommation électrique est évaluée sur une semaine d'été
Cooling demand management of commercial buildings can contribute to limit global warming below 2°C. District cooling is an energy-efficient option. However, improving operational performance is of great importance to ensure and increase its competitive advantages. The aim of this thesis is to contribute to the development of a decision-support tool for daily operation of district cooling networks. Challenges lie at two levels: diversity of decisions to be taken and complexity of physical phenomena involved. The original aspect of our work is to propose a methodology to improve chillers and cooling towers control, differential pressure management and dispatching between production plants with variable efficiency. Our developments are applied to the district cooling of Paris-Bercy, operated by Climespace. First; a model featuring a physical description of chilled-water production plants, distribution network and buildings substations, is developed. In particular, a semi-empirical model with identified parameters is modified to compute non-nominal characteristics of centrifugal chillers. The system model is validated against an independent dataset. Then, the model is used to find optimized controls from cooling loads forecast. The proposed methodology is sequential: pre-computation of optimal set-points at plant level and then generation of quadratic plant models to solve the dispatching optimization problem at each time step. Differential pressure is minimized with a simulation-based tracking of the critical substation. To conclude, electricity consumption reduction with optimized controls is evaluated during a summer week

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Pernot, Gilles. "Identification de propriétés thermiques et spectroscopie térahertz de nanostructures par thermoréflectance pompe-sonde asynchrone : application à l'étude du transport des phonons dans les super-réseaux." Thesis, Bordeaux 1, 2010. http://www.theses.fr/2010BOR13997/document.

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Le travail de cette thèse porte sur l’identification et le contrôle des propriétés thermiques et acoustiques de nanostructures à fort potentiel thermoélectrique appelés « Super-réseaux ». Le manuscrit comporte trois parties : La première partie est consacrée à la description théorique des phénomènes de transport thermique par diffusion dans les solides isolants et semi-conducteurs. Nous abordons tout d’abord le point de vue atomique, puis macroscopique en utilisant la méthode des quadripôles thermiques. La fin du chapitre est consacrée aux propriétés acoustiques et thermiques des super-réseaux. La deuxième partie présente et compare les méthodes de Thermoreflectance laser synchrone et asynchrone utilisées pour extraire les propriétés thermiques de couches minces et de super-réseaux. Nous montrons que dans le cas synchrone, les signaux sont soumis à des artefacts modifiant leur allure et rendant difficile l’identification des propriétés thermiques. Dans le cas asynchrone, la suppression de tous les éléments mobiles permet d’obtenir un signal sans artéfact. Nous traitons ensuite des fonctions de sensibilité au modèle développé puis nous validons la méthode d’identification en estimant la conductivité thermique d’un film mince de SiO2. La troisième partie présente les résultats des identifications de la conductivité thermique de différents super-réseaux de SiGe. Nous montrons que les résistances d’interface jouent un rôle majeur dans l’explication de la réduction de la conductivité thermique. Nous étudions également des super-réseaux contenant des îlots de Ge, nous montrons que de telles structures permettent d’obtenir non seulement des conductivités proches de celles des matériaux amorphes, mais le comportement linéaire de la conductivité en fonction de la période montre qu’il est possible de contrôler cette dernière. Enfin, nous utilisons la Thermoreflectance pour réaliser une étude de spectroscopie THz de phonons cohérents dans les super-réseaux et nous mettons en évidence la sélectivité spectrale des ces nanostructures
The work presented in this thesis deals with identification and control of the thermal and acoustic properties of high thermoelectric potential nanostructures called “superlattices”. This thesis is divided in three parts: The first part gives a theoretical description of thermal diffusion in insulating and semiconducting materials. We first broach the atomic description then the macroscopic view using the Thermal Quadrupole model. The end of this chapter deals with acoustic and thermal properties specific to superlattices. The second part describes and compares synchronous and asynchronous thermoreflectance techniques used to extract thermal properties of thin films and superlattices. We find that for the synchronous case signals are subject to artifacts which confound parameter estimations. For the asynchronous case, we find that lack of a mechanical translation stage removes these artifacts. We then investigate the sensitivity functions, and finally validate our identification method by estimation of the thermal conductivity of a SiO2 thin film. The third part presents the results of thermal parameter identification in SiGe superlattices. We show that thermal interfaces play a major role to in the overall thermal conductivity. We also study superlattices with Ge nanodots and show that for such structures we are able to obtain thermal conductivity values near the amorphous values. Moreover, the linear behavior of the thermal conductivity with period thickness shows that it is possible to control this value. Finally, we use Thermoreflectance to perform THz coherent phonon spectroscopy of superlattices, revealing the spectral selectivity of these nanostructures

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Mondalek, Pamela. "Modélisation numérique du procédé de frittage flash." Phd thesis, Ecole Nationale Supérieure des Mines de Paris, 2012. http://pastel.archives-ouvertes.fr/pastel-00820191.

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Le SPS (Spark plasma sintering) ou frittage flash est une technique innovante de compaction de poudre. Ce procédé fait intervenir le courant électrique pour chauffer l'échantillon en appliquant simultanément une pression. Grâce à la vitesse de chauffage, le procédé SPS apparaît comme étant une technologie prometteuse dans le secteur aéronautique servant à produire des matériaux denses à microstructure fine, composés par des intermétalliques difficiles à fondre, à former et à usiner avec les procédés conventionnels. Cependant, la fabrication de formes complexes est problématique à cause des hétérogénéités en densité qui peuvent apparaître lors de la compaction et qui proviennent de la distribution de la température et des contraintes dans la poudre compactée. La distribution du courant, de la température et des contraintes, ainsi que leurs différents effets, font l'objet d'une large étude, étant responsables de l'homogénéité de la microstructure. Une modélisation numérique 3D du procédé est réalisée, dans le cadre de la librairie CimLib. Elle englobe trois problèmes physiques fortement couplés : électrique, thermique et mécanique. Nous utilisons une approche monolithique qui consiste à résoudre une équation pour chaque problème sur un maillage unique représentant outils et poudre. Tout d'abord le couplage électrique-thermique est modélisé et les simulations numériques sont validées. Une loi de comportement viscoplastique compressible s'appuyant sur un modèle d'Abouaf est utilisée pour modéliser la densification de la poudre de TiAl. Ce modèle est validé par plusieurs cas tests de compaction de poudre dans un contexte lagrangien puis eulérien avant de passer à une simulation complète de couplage électrique-thermique-mécanique. Dans ce contexte monolithique, nous développons un modèle pour prendre en compte les effets du frottement entre la poudre et le moule. Enfin, la loi de comportement utilisée est identifiée pour la poudre intermétallique de TiAl. Le frittage par SPS d'échantillons de différentes tailles est simulé. Les résultats en termes de distribution de densité et déplacement sont validés grâce à une comparaison avec l'expérience.

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Großmann, Knut. "Thermo-Energetische Gestaltung von Werkzeugmaschinen: Modellierung und Simulation: 2. Kolloquium zum SFB/TR 96: 24./25.10.2012 in Chemnitz." Technische Universität Dresden, 2012. https://tud.qucosa.de/id/qucosa%3A28098.

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Der Beitrag "Voraussetzungen und Grenzen einer eigenschaftsmodellbasierten Korrektur St. Bäumler, C. Brecher, M. Wennemer; RWTH Aachen, Lehrstuhl für Werkzeugmaschinen" ist in dieser Version nicht enthalten, bitte nutzen Sie die Version unter oben angegebenen Link (Nachfolger).
Im Mittelpunkt der 2. Tagung des Sonderforschungsbereichs Transregio 96 „Thermo-energetische Gestaltung von Werkzeugmaschinen standen erste Ergebnisse zur Modellierung und Simulation von Komponenten und Baugruppen von Werkzeugmaschinen im Mittelpunkt. An den drei Standorten Aachen, Chemnitz und Dresden werden unterschiedliche Lösungsansätze für die steuerungsintegrierte Korrektur thermischer bedingter Strukturverformungen in spanenden Werkzeugmaschinen verfolgt. Von diesen wird eine unterschiedliche Wirksamkeit bzw. Eignung für verschiedene Einsatzfälle erwartet. Bevor diese in der Praxis umgesetzt werden können, müssen Fragen zur Beschreibung der Wärmequellen und zur Wärmeübertragung beantwortet werden. Außerdem bedarf die Umsetzung der Konzepte in den CNC-Steuerungen effizienter Verfahren zur Modellierung und Simulation der thermisch bedingten Strukturverformung. Für die Entwicklung und Bewertung der Korrekturverfahren sowie zur Berechnung der notwendigen Achs-Korrekturen ist die Systemsimulation u. a. an einem prozessaktuelle Werkzeugmaschinenabbild erforderlich. Für die Bewertung ihrer Praxisrelevanz werden die Einzellösungen nach und nach in ein betriebswirtschaftlich orientiertes Gesamtmodell integriert.

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Книги з теми "Thermal parameters identification"

Banks, H. Thomas. Boundary shape identification problems in two-dimensional domains related to thermal testing of materials. Hampton, Va: ICASE, 1988.

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Частини книг з теми "Thermal parameters identification"

Galdi, V., L. Ippolito, A. Piccolo, and A. Vaccaro. "Genetic Algorithm Based Parameters Identification for Power Transformer Thermal Overload Protection." In Artificial Neural Nets and Genetic Algorithms, 308–11. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_76.

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Mala, Anshu, Chandra Madhab Banerjee, Arijit Baral, and Sivaji Chakravorti. "Thermal Model Parameters Identification of Power Transformer Using Nature-Inspired Optimization Algorithms." In Smart Innovations in Communication and Computational Sciences, 399–410. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8968-8_34.

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Charlès, S., and J. B. Le Cam. "Identification of Constitutive Parameters from Full Thermal and Kinematic Fields: Application to Hyperelasticity." In Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6, 89–94. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30098-2_13.

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Bauzin, Jean-Gabriel, Nicolas Keruzore, Najib Laraqi, and Arnaud Gapin. "Experimental Identification of the Thermal Parameters of an Aircraft Braking System During the Braking Phase." In Lecture Notes in Mechanical Engineering, 83–92. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43934-6_9.

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Zhang, Xueyan, Yixuan Zhang, Ye Yang, Chengcheng Deng, and Jun Yang. "Uncertainty Analysis and Sensitivity Evaluation of a Main Steam Line Break Accident on an Advanced PWR." In Springer Proceedings in Physics, 327–41. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_30.

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AbstractA RELAP5 input model was established for a scaled-up facility simulating China's Advanced Passive Water Reactor with passive safety features. The simulation was performed to reproduce a Main Steam Line Break (MSLB) scenario at steam line connected to one Steam Generator. The figure of merit selected in this accident scenario includes the maximum containment pressure, mass and energy release to containment. Driving factors of this response function include Passive Residue Heat Removal material thermal conductivity, Pressurizer temperature, and broken steam line temperature.To achieve an adequately justified safety margin using a Best Estimate Plus Uncertainty analysis, dominant phenomena were selected from a reference Phenomenon Identification and Ranking Table. The calculation results were compared with the available reference data of similar Generation III Passive Water Reactor to assess the code's capability to predict the MSLB phenomena. The DAKOTA toolkit is used to drive both parameter sensitivity analysis and uncertainty propagation. The 95/95 uncertainty bands of key output parameters were obtained using the Wilks’ statistical methods.Compared with the reference data, the simulation results partially confirmed the stability and repeatability of the code model for initial and boundary condition perturbations. The uncertainty bands of important output parameters were demonstrated. The results indicated that the maximum containment pressure value was below the safety limit, and the passive safety system can mitigate the consequence of the MSLB. The mass and energy released into the containment were assessed according to the containment design.The parameter sensitivity analysis was performed with 34 input parameters, and the results were evaluated by Spearman's Simple Rank Correlation Coefficients.

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Tang, W. H., and Q. H. Wu. "Thermal Model Parameter Identification and Verification Using Genetic Algorithm." In Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence, 73–94. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-052-6_5.

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Jin, Quan Lin, and Yan Shu Zhang. "Parameter Identification of Thermal Visco-Plastic Model Considering Dynamic Recrystallization." In Materials Science Forum, 1869–74. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-462-6.1869.

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Schreck, Martin, Akira Omata, and Makoto Nishigaki. "Parameter identification in discontinuous rock mass aquifers using thermal fluid logging method." In Groundwater Updates, 399–404. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-68442-8_66.

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Pekař, Libor, Lenka Kuklišová Pavelková, and Radek Matušů. "Optimized 8-Parameter Relay-Based Delayed Thermal Process Model Identification via Saturated Relay and Artificial Delay." In Data Science and Algorithms in Systems, 118–31. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21438-7_10.

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Weng, Xiaqing, Guorong Zhu, Jing V. Wang, and Jianqiang Kang. "Parameter Identification of Electrochemical-Thermal Coupling Model for Large-Capacity Lithium-Ion Batteries Based on Neural Network Algorithm." In Lecture Notes in Electrical Engineering, 556–65. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1532-1_59.

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Тези доповідей конференцій з теми "Thermal parameters identification"

Sevcik, Jakub, Vaclav Smidl, and Martin Votava. "Identification of Thermal Model Parameters Using Deep Learning Techniques." In 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE). IEEE, 2022. http://dx.doi.org/10.1109/isie51582.2022.9831641.

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Monreal-Jimenez, Cintia, Francisco Oviedo-Tolentino, Geydy Luz Gutierrez-Urueta, Ricardo Romero-Mendez, and Robert Jackel. "EXPERIMENTAL PARAMETERS IDENTIFICATION OF A FLEXIBLE CYLINDER UNDERGOING VORTEX-INDUCED VIBRATIONS." In 3rd Thermal and Fluids Engineering Conference (TFEC). Connecticut: Begellhouse, 2018. http://dx.doi.org/10.1615/tfec2018.fli.024484.

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Zaidi, Houda, Sylvain Robert, and Frédéric Suard-Yacine Ould Rouis. "Benchmark of Optimization Techniques for Identification of Buildings Thermal Parameters." In 2015 Building Simulation Conference. IBPSA, 2015. http://dx.doi.org/10.26868/25222708.2015.2718.

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Peixoto, Lucas, Stephan Hennings Och, Carlos augusto Henning Laurindo, Paulo Philippi, and Luís Mauro Moura. "IDENTIFICATION OF WIEBE AND WOSCHNI PARAMETERS USING STOCHASTIC METHOD OF DIFFERENTIAL EVOLUTION." In 18th Brazilian Congress of Thermal Sciences and Engineering. ABCM, 2020. http://dx.doi.org/10.26678/abcm.encit2020.cit20-0563.

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Konrad, Werner, and Bernd Caesar. "Physical Parameter Identification of Laminates Based on Thermal Deformation Measurements." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0692.

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Abstract High precision structures, as telescope mirrors for space applications, require high thermal stability and structural stiffness combined with low weight. Laminate structures with their special properties can satisfy these stringent requirements. Model updating and physical parameter identification on the basis of measurements can be applied to optimize such structures or define correction measures w.r.t. manufacturing inaccuracies. In classic update procedures correction factors are used to improve physical parameters. The definition of correction differences which are suitable for parameters with zero starting values or values changing from positive to negative as it may be the case for the layer orientations of a laminate is presented. High precision structures require high accurate measuring methods for the test. Thermal deformations can be measured by holographic, interferometric methods with high precision in the μm range. An interferometric contour map can be compared with the nodal point displacements of a Finite Element model by special spline functions called Zernike’s polynomials. The equations to determine the various design parameters or material properties may not be linear independent, depending on the applied thermal load case. The degree of correlation between the various parameters is investigated. The results are used to optimize the load case selection and to improve error localization methods. The proposed method is applied to a segment of a high stability spherical mirror plate with real measuring data.

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Dreher, Nathali, Tiago Machado, Thomas Thougaard Paulsen, and Ilmar Santos. "IDENTIFICATION OF MODAL PARAMETERS OF COUPLED ROTOR FOUNDATION SYSTEM VIA AUTOMATIC OPERATIONAL MODAL ANALYSIS." In 27^th Brazilian Congress of Thermal Sciences and Engineering. ABCM, 2023. http://dx.doi.org/10.26678/abcm.cobem2023.cob2023-1734.

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oliveira, sergio, Ana Cristina Avelar, Henrique Leite, and João Batista Pessoa Falcão Filho. "Identification of Wall Interference Parameters in Two-Dimensional Testing in Transonic Wind Tunnel Using the PSP Technique." In 16th Brazilian Congress of Thermal Sciences and Engineering. ABCM, 2016. http://dx.doi.org/10.26678/abcm.encit2016.cit2016-0655.

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Glotic, A., N. Sarajlic, M. Kasumovic, M. Tesanovic, M. Sarajlic, and J. Pihler. "Identification of thermal parameters for transformer FEM model by differential evolution optimization algorithm." In 2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO). IEEE, 2016. http://dx.doi.org/10.1109/medo.2016.7746549.

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Hollstein, Kai, Lintao Yang, Yuan Gao, and Kirsten Weide-Zaage. "Identification of influencing PCB design parameters on thermal performance of a QFN package." In 2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE). IEEE, 2020. http://dx.doi.org/10.1109/eurosime48426.2020.9152651.

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Zhang, Linli, Lisheng Li, Bin Jiang, Rong Li, Hongmei Li, and Xiao Dong. "Thermal circuit model parameters identification of oil-immersed transformer based on PSO algorithm." In 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icmmcce-15.2015.183.

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Звіти організацій з теми "Thermal parameters identification"

Botulinum Neurotoxin-Producing Clostridia, Working Group on. Report on Botulinum Neurotoxin-Producing Clostridia. Food Standards Agency, August 2023. http://dx.doi.org/10.46756/sci.fsa.ozk974.

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In 1992 a working group of the UK Advisory Committee on the Microbiological Safety of Food presented a report on Vacuum Packaging and Associated Processes regarding the microbiological safety of chilled foods. The report supported subsequent guidance provided by the UK Food Standards Agency for the safe manufacture of vacuum packed and modified atmosphere packed chilled foods. In 2021 the ACMSF requested that a new subgroup should update and build on the 1992 report as well as considering, in addition to chilled foods, some foods that are intended to be stored at ambient temperatures. The new subgroup agreed a scope that includes the conditions that support growth and/or neurotoxin formation by C. botulinum, and other clostridia, as well as identification of limiting conditions that provide control. Other foodborne pathogens that need to be considered separately and some foods including raw beef, pork and lamb were explicitly excluded. The subgroup considered the taxonomy, detection, epidemiology, occurrence, growth, survival and risks associated with C. botulinum and other neurotoxin-forming clostridia. There has been no significant change in the nature of foodborne botulism in recent decades except for the identification of rare cases caused by neurotoxigenic C. butyricum, C. baratii and C. sporogenes. Currently evidence indicates that non-clostridia do not pose a risk in relation to foodborne botulism. The subgroup has compiled lists of incidents and outbreaks of botulism, reported in the UK and worldwide, and have reviewed published information concerning growth parameters and control factors in relation to proteolytic C. botulinum, non-proteolytic C. botulinum and the other neurotoxigenic clostridia. The subgroup concluded that the frequency of occurrence of foodborne botulism is very low (very rare but cannot be excluded) with high severity (severe illness: causing life threatening or substantial sequelae or long-term illness). Uncertainty associated with the assessment of the frequency of occurrence, and with the assessment of severity, of foodborne botulism is low (solid and complete data; strong evidence in multiple sources). The vast majority of reported botulism outbreaks, for chilled or ambient stored foods, are identified with proteolytic C. botulinum and temperature abuse is the single most common cause. In the last 30 years, in the UK and worldwide where a cause can be identified, there is evidence that known controls, combined with the correct storage, would have prevented the reported incidents of foodborne botulism. The subgroup recommends that foods should continue to be formulated to control C. botulinum, and other botulinum neurotoxin-producing clostridia, in accordance with the known factors. With regard to these controls, the subgroup recommends some changes to the FSA guidelines that reflect improved information about using combinations of controls, the z-value used to establish equivalent thermal processes and the variable efficacy associated with some controls such as herbs and spices. Current information does not facilitate revision of the current reference process, heating at 90°C for 10 minutes, but there is strong evidence that this provides a lethality that exceeds the target 6 order of magnitude reduction in population size that is widely attributed to the process and the subgroup includes a recommendation that the FSA considers this issue. Early detection and connection of cases and rapid, effective coordinated responses to very rare incidents are identified as crucial elements for reducing risks from foodborne botulism. The subgroup recommends that the FSA works closely with other agencies to establish clear and validated preparedness in relation to potential major incidents of foodborne botulism in the UK.

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