Gotowa bibliografia na temat „Thermal parameters identification”
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Artykuły w czasopismach na temat "Thermal parameters identification"
Whalley, R., i D. Mitchell. "The identification of engineering system parameters". Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 211, nr 1 (1.02.1997): 1–14. http://dx.doi.org/10.1243/0959651971539641.
Pełny tekst źródłaRose, L., i A. Menzel. "Identification of thermal material parameters for thermo-mechanically coupled material models". Meccanica 56, nr 2 (18.01.2021): 393–416. http://dx.doi.org/10.1007/s11012-020-01267-2.
Pełny tekst źródłaGarmendia, Iñaki, i Eva Anglada. "Thermal parameters identification in the correlation of spacecraft thermal models against thermal test results". Acta Astronautica 191 (luty 2022): 270–78. http://dx.doi.org/10.1016/j.actaastro.2021.11.025.
Pełny tekst źródłaBouache, T., K. Limam i W. Bosschaerts. "New thermal parameters identification approach applied to the thermal renovation of buildings". Energy and Buildings 104 (październik 2015): 156–64. http://dx.doi.org/10.1016/j.enbuild.2015.06.077.
Pełny tekst źródłaMonika, Božiková, Hlaváč Petr, Híreš Ľubomír, Hlaváčová Zuzana, Valach Michal, Vozárová Vlasta i Malínek Martin. "Temperature effect on various biooils physical parameters". Research in Agricultural Engineering 63, No. 4 (7.12.2017): 145–51. http://dx.doi.org/10.17221/60/2015-rae.
Pełny tekst źródłaGhafiri, Abdelaaziz, Jamal Chaoufi, Claude Vallee, El Hanafi Arjdal, Jean Christophe Dupre, Arnaud Germaneau, Kossi Atchonouglo i Hassan Fatmaoui. "Identification of Thermal Parameters by Treating the Inverse Problem". International Journal of Computer Applications 87, nr 11 (14.02.2014): 1–5. http://dx.doi.org/10.5120/15249-3719.
Pełny tekst źródłaSAKAGAMI, Takahide, Daisuke IMANISHI i 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.
Pełny tekst źródłaMatiašovský, Peter. "The equivalent thermal parameters, their analytical and experimental identification". Solar Energy Materials and Solar Cells 27, nr 2 (lipiec 1992): 119–26. http://dx.doi.org/10.1016/0927-0248(92)90114-5.
Pełny tekst źródłaLiu, G. R., J. H. Lee, A. T. Patera, Z. L. Yang i K. Y. Lam. "Inverse identification of thermal parameters using reduced-basis method". Computer Methods in Applied Mechanics and Engineering 194, nr 27-29 (lipiec 2005): 3090–107. http://dx.doi.org/10.1016/j.cma.2004.08.003.
Pełny tekst źródłaBondarchuk, Ivan, Valery Perevozkin, Sergey Bondarchuk i Alexander Vorozhtsov. "Identification of the Kinetic Parameters of Thermal Micro-organisms Inactivation". Applied Sciences 12, nr 22 (12.11.2022): 11505. http://dx.doi.org/10.3390/app122211505.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaOne 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
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.
Pełny tekst źródłaThe 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
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.
Pełny tekst źródłaPhoenix, 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.
Pełny tekst źródłaPh. D.
Andres, Matthias [Verfasser], i 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.
Pełny tekst źródłaZhang, Ying. "Synthesis of Local Thermo-Physical Models Using Genetic Programming". Scholar Commons, 2009. https://scholarcommons.usf.edu/etd/103.
Pełny tekst źródłaCasetta, Damien. "Modèle d'aide à la conduite de réseaux de froid". Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEM012.
Pełny tekst źródłaCooling 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
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.
Pełny tekst źródłaThe 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
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.
Pełny tekst źródłaGroßmann, 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.
Pełny tekst źródłaIm 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.
Książki na temat "Thermal parameters identification"
Banks, H. Thomas. Boundary shape identification problems in two-dimensional domains related to thermal testing of materials. Hampton, Va: ICASE, 1988.
Znajdź pełny tekst źródłaCzęści książek na temat "Thermal parameters identification"
Galdi, V., L. Ippolito, A. Piccolo i A. Vaccaro. "Genetic Algorithm Based Parameters Identification for Power Transformer Thermal Overload Protection". W Artificial Neural Nets and Genetic Algorithms, 308–11. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_76.
Pełny tekst źródłaMala, Anshu, Chandra Madhab Banerjee, Arijit Baral i Sivaji Chakravorti. "Thermal Model Parameters Identification of Power Transformer Using Nature-Inspired Optimization Algorithms". W 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.
Pełny tekst źródłaCharlès, S., i J. B. Le Cam. "Identification of Constitutive Parameters from Full Thermal and Kinematic Fields: Application to Hyperelasticity". W 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.
Pełny tekst źródłaBauzin, Jean-Gabriel, Nicolas Keruzore, Najib Laraqi i Arnaud Gapin. "Experimental Identification of the Thermal Parameters of an Aircraft Braking System During the Braking Phase". W Lecture Notes in Mechanical Engineering, 83–92. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43934-6_9.
Pełny tekst źródłaZhang, Xueyan, Yixuan Zhang, Ye Yang, Chengcheng Deng i Jun Yang. "Uncertainty Analysis and Sensitivity Evaluation of a Main Steam Line Break Accident on an Advanced PWR". W Springer Proceedings in Physics, 327–41. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_30.
Pełny tekst źródłaTang, W. H., i Q. H. Wu. "Thermal Model Parameter Identification and Verification Using Genetic Algorithm". W 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.
Pełny tekst źródłaJin, Quan Lin, i Yan Shu Zhang. "Parameter Identification of Thermal Visco-Plastic Model Considering Dynamic Recrystallization". W Materials Science Forum, 1869–74. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-462-6.1869.
Pełny tekst źródłaSchreck, Martin, Akira Omata i Makoto Nishigaki. "Parameter identification in discontinuous rock mass aquifers using thermal fluid logging method". W Groundwater Updates, 399–404. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-68442-8_66.
Pełny tekst źródłaPekař, Libor, Lenka Kuklišová Pavelková i Radek Matušů. "Optimized 8-Parameter Relay-Based Delayed Thermal Process Model Identification via Saturated Relay and Artificial Delay". W 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.
Pełny tekst źródłaWeng, Xiaqing, Guorong Zhu, Jing V. Wang i Jianqiang Kang. "Parameter Identification of Electrochemical-Thermal Coupling Model for Large-Capacity Lithium-Ion Batteries Based on Neural Network Algorithm". W Lecture Notes in Electrical Engineering, 556–65. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1532-1_59.
Pełny tekst źródłaStreszczenia konferencji na temat "Thermal parameters identification"
Sevcik, Jakub, Vaclav Smidl i Martin Votava. "Identification of Thermal Model Parameters Using Deep Learning Techniques". W 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE). IEEE, 2022. http://dx.doi.org/10.1109/isie51582.2022.9831641.
Pełny tekst źródłaMonreal-Jimenez, Cintia, Francisco Oviedo-Tolentino, Geydy Luz Gutierrez-Urueta, Ricardo Romero-Mendez i Robert Jackel. "EXPERIMENTAL PARAMETERS IDENTIFICATION OF A FLEXIBLE CYLINDER UNDERGOING VORTEX-INDUCED VIBRATIONS". W 3rd Thermal and Fluids Engineering Conference (TFEC). Connecticut: Begellhouse, 2018. http://dx.doi.org/10.1615/tfec2018.fli.024484.
Pełny tekst źródłaZaidi, Houda, Sylvain Robert i Frédéric Suard-Yacine Ould Rouis. "Benchmark of Optimization Techniques for Identification of Buildings Thermal Parameters". W 2015 Building Simulation Conference. IBPSA, 2015. http://dx.doi.org/10.26868/25222708.2015.2718.
Pełny tekst źródłaPeixoto, Lucas, Stephan Hennings Och, Carlos augusto Henning Laurindo, Paulo Philippi i Luís Mauro Moura. "IDENTIFICATION OF WIEBE AND WOSCHNI PARAMETERS USING STOCHASTIC METHOD OF DIFFERENTIAL EVOLUTION". W 18th Brazilian Congress of Thermal Sciences and Engineering. ABCM, 2020. http://dx.doi.org/10.26678/abcm.encit2020.cit20-0563.
Pełny tekst źródłaKonrad, Werner, i Bernd Caesar. "Physical Parameter Identification of Laminates Based on Thermal Deformation Measurements". W 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.
Pełny tekst źródłaDreher, Nathali, Tiago Machado, Thomas Thougaard Paulsen i Ilmar Santos. "IDENTIFICATION OF MODAL PARAMETERS OF COUPLED ROTOR FOUNDATION SYSTEM VIA AUTOMATIC OPERATIONAL MODAL ANALYSIS". W 27th Brazilian Congress of Thermal Sciences and Engineering. ABCM, 2023. http://dx.doi.org/10.26678/abcm.cobem2023.cob2023-1734.
Pełny tekst źródłaoliveira, sergio, Ana Cristina Avelar, Henrique Leite i João Batista Pessoa Falcão Filho. "Identification of Wall Interference Parameters in Two-Dimensional Testing in Transonic Wind Tunnel Using the PSP Technique". W 16th Brazilian Congress of Thermal Sciences and Engineering. ABCM, 2016. http://dx.doi.org/10.26678/abcm.encit2016.cit2016-0655.
Pełny tekst źródłaGlotic, A., N. Sarajlic, M. Kasumovic, M. Tesanovic, M. Sarajlic i J. Pihler. "Identification of thermal parameters for transformer FEM model by differential evolution optimization algorithm". W 2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO). IEEE, 2016. http://dx.doi.org/10.1109/medo.2016.7746549.
Pełny tekst źródłaHollstein, Kai, Lintao Yang, Yuan Gao i Kirsten Weide-Zaage. "Identification of influencing PCB design parameters on thermal performance of a QFN package". W 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.
Pełny tekst źródłaZhang, Linli, Lisheng Li, Bin Jiang, Rong Li, Hongmei Li i Xiao Dong. "Thermal circuit model parameters identification of oil-immersed transformer based on PSO algorithm". W 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.
Pełny tekst źródłaRaporty organizacyjne na temat "Thermal parameters identification"
Botulinum Neurotoxin-Producing Clostridia, Working Group on. Report on Botulinum Neurotoxin-Producing Clostridia. Food Standards Agency, sierpień 2023. http://dx.doi.org/10.46756/sci.fsa.ozk974.
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