Relevant bibliographies by topics / Temperature prediction modeling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Temperature prediction modeling'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Temperature prediction modeling"

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Li, Cong, Yaonan Zhang, and Xupeng Ren. "Modeling Hourly Soil Temperature Using Deep BiLSTM Neural Network." Algorithms 13, no. 7 (2020): 173. http://dx.doi.org/10.3390/a13070173.

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Soil temperature (ST) plays a key role in the processes and functions of almost all ecosystems, and is also an essential parameter for various applications such as agricultural production, geothermal development, and their utilization. Although numerous machine learning models have been used in the prediction of ST, and good results have been obtained, most of the current studies have focused on daily or monthly ST predictions, while hourly ST predictions are scarce. This paper presents a novel scheme for forecasting the hourly ST using weather forecast data. The method considers the hourly ST
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PANAGOU, EFSTATHIOS Z., and GEORGE-JOHN E. NYCHAS. "Dynamic Modeling of Listeria monocytogenes Growth in Pasteurized Vanilla Cream after Postprocessing Contamination." Journal of Food Protection 71, no. 9 (2008): 1828–34. http://dx.doi.org/10.4315/0362-028x-71.9.1828.

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A product-specific model was developed and validated under dynamic temperature conditions for predicting the growth of Listeria monocytogenes in pasteurized vanilla cream, a traditional milk-based product. Model performance was also compared with Growth Predictor and Sym'Previus predictive microbiology software packages. Commercially prepared vanilla cream samples were artificially inoculated with a five-strain cocktail of L. monocytogenes, with an initial concentration of 102 CFU g−1, and stored at 3, 5, 10, and 15°C for 36 days. The growth kinetic parameters at each temperature were determin
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Chung, J. D., A. J. H. McGaughey, and M. Kaviany. "Role of Phonon Dispersion in Lattice Thermal Conductivity Modeling." Journal of Heat Transfer 126, no. 3 (2004): 376–80. http://dx.doi.org/10.1115/1.1723469.

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The role of phonon dispersion in the prediction of the thermal conductivity of germanium between temperatures of 2 K and 1000 K is investigated using the Holland approach. If no dispersion is assumed, a large, nonphysical discontinuity is found in the transverse phonon relaxation time over the entire temperature range. However, this effect is masked in the final prediction of the thermal conductivity by the use of fitting parameters. As the treatment of the dispersion is refined, the magnitude of the discontinuity is reduced. At the same time, discrepancies between the high temperature predict
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Ning, Jinqiang, and Steven Liang. "Predictive Modeling of Machining Temperatures with Force–Temperature Correlation Using Cutting Mechanics and Constitutive Relation." Materials 12, no. 2 (2019): 284. http://dx.doi.org/10.3390/ma12020284.

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Elevated temperature in the machining process is detrimental to cutting tools—a result of the effect of thermal softening and material diffusion. Material diffusion also deteriorates the quality of the machined part. Measuring or predicting machining temperatures is important for the optimization of the machining process, but experimental temperature measurement is difficult and inconvenient because of the complex contact phenomena between tools and workpieces, and because of restricted accessibility during the machining process. This paper presents an original analytical model for fast predic
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Miao, Zhi Yi, and Shi Xian Yuan. "Analytical Modeling of Workpiece Surface Temperature Rise in Machining." Advanced Materials Research 97-101 (March 2010): 1832–35. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.1832.

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In this paper, an analytical model is developed for prediction of temperature rise on workpiece surface during machining and orthogonal cutting is studied. The shear heat source created in the primary zone and the friction heat source on the tool-workpiece interface determine the workpiece temperature. The proposed model is verified with FEM simulation and experimental measurements of temperature on AISI4340 in the literature. With the analytical model presented here, substantial reduction in computational time is achieved in the predictions of machining workpiece temperature rise.
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Raad, Lutfi, Stephan Saboundjian, Peter Sebaaly, and Jon Epps. "Minimum Pavement Temperature Modeling and Mapping for Alaskan Conditions." Transportation Research Record: Journal of the Transportation Research Board 1643, no. 1 (1998): 86–94. http://dx.doi.org/10.3141/1643-12.

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According to the Superpave design system, the selection of asphalt binder using performance-based binder specifications depends in part on the expected high and low pavement temperatures. For low-temperature cracking considerations, the binder should satisfy minimum pavement temperature requirements selected for design. In this case, knowledge of minimum pavement temperature during the design period is essential for proper binder selection. In this study, field temperature data for a number of sites were collected and analyzed. Correlations between minimum air and pavement temperature were est
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Ning, Jinqiang, Wenjia Wang, Xuan Ning, Daniel E. Sievers, Hamid Garmestani, and Steven Y. Liang. "Analytical Thermal Modeling of Powder Bed Metal Additive Manufacturing Considering Powder Size Variation and Packing." Materials 13, no. 8 (2020): 1988. http://dx.doi.org/10.3390/ma13081988.

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This work presents a computationally efficient predictive model based on solid heat transfer for temperature profiles in powder bed metal additive manufacturing (PBMAM) considering the heat transfer boundary condition and powder material properties. A point moving heat source model is used for the three-dimensional temperature prediction in an absolute coordinate. The heat loss from convection and radiation is calculated using a heat sink solution with a mathematically discretized boundary considering non-uniform temperatures and heat loss at the boundary. Powder material properties are calcul
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Tian, Huixin, Zhizhong Mao, and Yan Wang. "Hybrid Modeling of Molten Steel Temperature Prediction in LF." ISIJ International 48, no. 1 (2008): 58–62. http://dx.doi.org/10.2355/isijinternational.48.58.

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Li, Guohui, Wanni Chang, and Hong Yang. "Monthly Mean Meteorological Temperature Prediction Based on VMD-DSE and Volterra Adaptive Model." Advances in Meteorology 2020 (March 21, 2020): 1–17. http://dx.doi.org/10.1155/2020/8385416.

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Climate is a complex and chaotic system, and temperature prediction is a challenging problem. Accurate temperature prediction is also concerned in the fields of energy, environment, industry, and agriculture. In order to improve the accuracy of monthly mean temperature prediction and reduce the calculation scale of hybrid prediction process, a combined prediction model based on variational mode decomposition-differential symbolic entropy (VMD-DSE) and Volterra is proposed. Firstly, the original monthly mean meteorological temperature sequence is decomposed into finite mode components by VMD. T
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Ren, Diandong, and Ming Xue. "A Revised Force–Restore Model for Land Surface Modeling." Journal of Applied Meteorology 43, no. 11 (2004): 1768–82. http://dx.doi.org/10.1175/jam2161.1.

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Abstract To clarify the definition of the equation for the temperature toward which the soil skin temperature is restored, the prediction equations in the commonly used force–restore model for soil temperature are rederived from the heat conduction equation. The derivation led to a deep-layer temperature, commonly denoted T2, that is defined as the soil temperature at depth πd plus a transient term, where d is the e-folding damping depth of soil temperature diurnal oscillations. The corresponding prediction equation for T2 has the same form as the commonly used one except for an additional ter
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Dissertations / Theses on the topic "Temperature prediction modeling"

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Brosie, Kayla Nicole. "Ionospheric Scintillation Prediction, Modeling, and Observation Techniques for the August 2017 Solar Eclipse." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78710.

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A full solar eclipse is going to be visible from a range of states in the contiguous United States on August 21, 2017. Since the atmosphere of the Earth is charged by the sun, the blocking of the sunlight by the moon may cause short term changes to the atmosphere, such as density and temperature alterations. There are many ways to measure these changes, one of these being ionospheric scintillation. Ionospheric scintillation is rapid amplitude and phase fluctuations of signals passing through the ionosphere caused by electron density irregularities in the ionosphere. At mid-latitudes, scintilla
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Zhu, Zhaoxuan Zhu. "Control-oriented Modeling of Three-Way Catalyst Temperature via Projection-based Model Order Reduction." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1534271429299604.

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Malagi, Gustavo. "Lowering phenology and dormancy dynamics of apple tree in contrasting climatic conditions: a case study of phenology modeling in the climate warming context." Universidade Federal de Pelotas, 2014. http://repositorio.ufpel.edu.br:8080/handle/prefix/3072.

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Submitted by Gabriela Lopes (gmachadolopesufpel@gmail.com) on 2016-09-28T13:41:56Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Última - Versão BR - Full version of thesis - Gustavo MALAGI 05 01 15.pdf: 7874392 bytes, checksum: 6b766fe0ba0e658ee8b6a3b3752fbb91 (MD5)<br>Approved for entry into archive by Aline Batista (alinehb.ufpel@gmail.com) on 2016-09-28T19:00:59Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Última - Versão BR - Full version of thesis - Gustavo MALAGI 05 01 15.pdf: 7874392 byt
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Johnson, Kevin Russell. "Advancements in Thermal Integrity Profiling Data Analysis." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6520.

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Thermal Integrity Profiling (TIP) is a relatively new non-destructive test method for evaluating the post-construction quality of drilled shafts. Therein anomalies in a shaft are indicated by variations in its thermal profile when measured during the curing stages of the concrete. A considerable benefit with this method is in the ability to detect anomalies both inside and outside the reinforcement cage, as well as provide a measure of lateral cage alignment. Similarly remarkable, early developments showed that the shape of a temperature profile (with depth) matched closely with the shape of t
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Jalan, Amrit. "Predictive kinetic modeling of low-temperature hydrocarbon oxidation." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91059.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 221-235).<br>Low temperature oxidation in the gas and condensed phases has been the subject of experimental investigations for many decades owing to applications in many areas of practical significance like thermal stability, combustion, atmospheric chemistry and industrial syntheses. Owing to several practical limitations it has proven difficult to understand these processes at a mechanistic level from experimen
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Gao, R. "Bias temperature instability modelling and lifetime prediction on nano-scale MOSFETs." Thesis, Liverpool John Moores University, 2018. http://researchonline.ljmu.ac.uk/8989/.

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Bias Temperature Instability (BTI) is one of the most important reliability concerns for Metal Oxide Semiconductor Field Effect Transistors (MOSFET), the basic unit in integrated circuits. As the development MOSFET manufacturing technology, circuit designers need to consider device reliability during design optimization. An accurate BTI lifetime prediction methodology becomes a prerequisite. Typical BTI lifetime standard is ten years, accelerated BTI tests under high stress voltages are mandatory. BTI modelling is needed to project BTI lifetime from high voltages (accelerated condition) to ope
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Tetour, Daniel. "Optimalizační modely rizik v energetických systémech." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-414191.

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The diploma thesis deals with mathematical modeling of the resource allocation problem in an energy system with respect to technical parameters of the used resources. The model includes random input variables affecting the amount of demand and constraints related to associated risks. The thesis addresses control of the operation of various types of boilers and also extends the system with a heat storage tank examining its impact on the behavior of the system and achieved results. The optimization model is based on a multi-period two-stage scenario model of stochastic programming and works with
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Chen, Linchao. "Predictive Modeling of Spatio-Temporal Datasets in High Dimensions." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429586479.

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Bausch, Nils Christian. "Residential home temperature prediction models that use space conditioning experiments and disparate sources of information." Thesis, University of Portsmouth, 2014. https://researchportal.port.ac.uk/portal/en/theses/residential-home-temperature-prediction-models-that-use-space-conditioning-experiments-and-disparate-sources-of-information(a27378a4-f62d-496b-bbbd-27aa6a552b7b).html.

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A model to predict air temperatures inside a residential home was created, which used local and remote environmental sensor data. Space conditioning experiments were carried out in the residential home and models were created to describe the observed temperature data. Results from laboratory space conditioning experiments were used to create a new experimental prediction model. Static inputs of the experimental model were replaced with dynamic inputs and an improved model was created, capable of general prediction application in the residential home. A novel system for space conditioning contr
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Halverson, Howard Gerhard. "Durability of Ceramic Matrix Composites at Elevated Temperatures: Experimental Studies and Predictive Modeling." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/27834.

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In this work, the deformation and strength of an oxide/oxide ceramic matrix composite system under stress-rupture conditions were studied both experimentally and analytically. A rupture model for unidirectional composites which incorporates fiber strength statistics, fiber degradation, and matrix damage was derived. The model is based on a micromechanical analysis of the stress state in a fiber near a matrix crack and includes the effects of fiber pullout and global load sharing from broken to unbroken fibers. The parameters required to produce the deformation and lifetime predictions can a
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Books on the topic "Temperature prediction modeling"

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Grotch, Stanley L. An intercomparison of general circulation model predictions of regional climate change: Presented at the International Conference on "Modelling of Global Climate Change and Variability," Hamburg, Federal Republic of Germany, September 1989. Available from National Technical Information Service, 1990.

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M, Laurendeau Normand, and Lewis Research Center, eds. Laser-induced fluorescence measurements and modeling of nitric oxide in high-pressure premixed flames. Lewis Research Center, National Aeronautics and Space Administration, 1994.

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Laser-induced fluorescence measurements and modeling of nitric oxide in high-pressure premixed flames. Lewis Research Center, National Aeronautics and Space Administration, 1994.

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M, Laurendeau Normand, and Lewis Research Center, eds. Laser-induced fluorescence measurements and modeling of nitric oxide in high-pressure premixed flames. Lewis Research Center, National Aeronautics and Space Administration, 1994.

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Xue, Yongkang, Yaoming Ma, and Qian Li. Land–Climate Interaction Over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.592.

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The Tibetan Plateau (TP) is the largest and highest plateau on Earth. Due to its elevation, it receives much more downward shortwave radiation than other areas, which results in very strong diurnal and seasonal changes of the surface energy components and other meteorological variables, such as surface temperature and the convective atmospheric boundary layer. With such unique land process conditions on a distinct geomorphic unit, the TP has been identified as having the strongest land/atmosphere interactions in the mid-latitudes.Three major TP land/atmosphere interaction issues are presented
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De-Xing, Chen, and United States. Bureau of Reclamation. Denver Office., eds. Assessment of responses of hydrilla verticillata to atmospheric change with modeling predictions for four western United States reservoirs. U.S. Dept. of the Interior, Bureau of Reclamation, Denver Office, 1995.

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Adaptive finite element methods for continuum damage modeling. National Aeronautics and Space Administration, 1995.

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S, Rohatgi Upendra, and U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Research., eds. Bias in peak clad temperature predictions due to uncertainties in modeling of ECC bypass and dissolved non-condensable gas phenomena. Division of Systems Research, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1990.

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Tibaldi, Stefano, and Franco Molteni. Atmospheric Blocking in Observation and Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.611.

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The atmospheric circulation in the mid-latitudes of both hemispheres is usually dominated by westerly winds and by planetary-scale and shorter-scale synoptic waves, moving mostly from west to east. A remarkable and frequent exception to this “usual” behavior is atmospheric blocking. Blocking occurs when the usual zonal flow is hindered by the establishment of a large-amplitude, quasi-stationary, high-pressure meridional circulation structure which “blocks” the flow of the westerlies and the progression of the atmospheric waves and disturbances embedded in them. Such blocking structures can hav
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Cook, Kerry H. Climate Change Scenarios and African Climate Change. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.545.

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Accurate projections of climate change under increasing atmospheric greenhouse gas levels are needed to evaluate the environmental cost of anthropogenic emissions, and to guide mitigation efforts. These projections are nowhere more important than Africa, with its high dependence on rain-fed agriculture and, in many regions, limited resources for adaptation. Climate models provide our best method for climate prediction but there are uncertainties in projections, especially on regional space scale. In Africa, limitations of observational networks add to this uncertainty since a crucial step in i
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Book chapters on the topic "Temperature prediction modeling"

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Koščák, Juraj, Rudolf Jakša, Rudolf Sepeši, and Peter Sinčák. "Daily Temperature Profile Prediction for the District Heating Application." In Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00542-3_37.

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Tripathi, Anurag, J. K. Saha, J. B. Singh, and S. K. Ajmani. "CFD Model for Prediction of Liquid Steel Temperature in Ladle during Steel Making and Casting." In CFD Modeling and Simulation in Materials Processing. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118364697.ch35.

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van Buren, Simon, and Wolfgang Polifke. "Heat Transfer in Pulsating Flow and Its Impact on Temperature Distribution and Damping Performance of Acoustic Resonators." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53847-7_6.

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Abstract A numerical framework for the prediction of acoustic damping characteristics is developed and applied to a quarter-wave resonator with non-uniform temperature. The results demonstrate a significant impact of the temperature profile on the damping characteristics and hence the necessity of accurate modeling of heat transfer in oscillating flow. Large Eddy Simulations are applied to demonstrate and quantify enhancement in heat transfer induced by pulsations. The study covers wall-normal heat transfer in pulsating flow as well as longitudinal convective effects in oscillating flow. A discussion of hydrodynamic and thermal boundary layers provides insight into the flow physics of oscillatory convective heat transfer.
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Manh, D. Nguyen, A. M. Bratkovsky, and D. G. Pettifor. "Quantum mechanical predictions in intermetallics modelling." In High-temperature Structural Materials. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-011-0589-7_8.

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Gentilal, Nichal, Ricardo Salvador, and Pedro Cavaleiro Miranda. "A Thermal Study of Tumor-Treating Fields for Glioblastoma Therapy." In Brain and Human Body Modeling 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45623-8_3.

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AbstractTumor-treating fields (TTFields) is an antimitotic cancer treatment technique used for glioblastoma multiforme (GBM) and malignant pleural mesothelioma. Although the frequency used is not as high as in hyperthermia, temperature increases due to the Joule effect might be meaningful given the necessary time that these fields should be applied for. Post hoc analysis of the EF-11 clinical trial showed higher median overall survival in patients whose compliance was at least 18 h per day. To quantify these temperature increases and predict the thermal impact of TTFields delivery to the head, we used a realistic model created from MR images segmented in five tissues: scalp, skull, CSF, gray matter (GM), and white matter (WM). Through COMSOL Multiphysics, we solved Laplace’s equation for the electric field and Pennes’ equation for the temperature distribution. To mimic the therapy as realistically as possible, we also considered complete current shutdown whenever any transducer reached 41 °C to allow transducers and tissues’ temperature to decrease. Our results indicate an intermittent operation of Optune due to this necessary current shutdown. Localized temperature increases were seen, especially underneath the regions where the transducers were placed. Maximum temperature values were around 41.5 °C on the scalp and 38 °C on the brain. According to the literature, significant thermal impact is only predicted for the brain where the rise in temperature may lead to an increased BBB permeability and variation in the blood flow and neurotransmitter concentration. Additionally, our results showed that if the injected current is reduced by around 25% compared to Optune’s standard way of operating, then uninterrupted treatment might be attainable. These predictions might be used to improve TTFields delivery in real patients and to increase awareness regarding possible thermal effects not yet reported elsewhere.
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Abe, Steffen, Peter Mora, and David Place. "Extension of the Lattice Solid Model to Incorporate Temperature Related Effects." In Microscopic and Macroscopic Simulation: Towards Predictive Modelling of the Earthquake Process. Birkhäuser Basel, 2000. http://dx.doi.org/10.1007/978-3-0348-7695-7_4.

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Yang, Yiru, Lei Guo, Qipeng Bao, and Zhancheng Guo. "Predictive Modeling and Optimization of the Variant Combinations of Material Ratios in the Gasification–Reduction Coupling Process." In 11th International Symposium on High-Temperature Metallurgical Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36540-0_7.

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Dempsey, J. Franklin, Vicente J. Romero, and Bonnie R. Antoun. "Modeling and Simulation in Validation Assessment of Failure Predictions for High Temperature Pressurized Pipes." In Challenges In Mechanics of Time-Dependent Materials and Processes in Conventional and Multifunctional Materials, Volume 2. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00852-3_19.

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Sethuramalingam, Ramamoorthy, and Abhishek Asthana. "Design Improvement of Water-Cooled Data Centres Using Computational Fluid Dynamics." In Springer Proceedings in Energy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_14.

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AbstractData centres are complex energy demanding environments. The number of data centres and thereby their energy consumption around the world is growing at a rapid rate. Cooling the servers in the form of air conditioning forms a major part of the total energy consumption in data centres and thus there is an urgent need to develop alternative energy efficient cooling technologies. Liquid cooling systems are one such solution which are in their early developmental stage. In this article, the use of Computational Fluid Dynamics (CFD) to further improve the design of liquid-cooled systems is discussed by predicting temperature distribution and heat exchanger performance. A typical 40 kW rack cabinet with rear door fans and an intermediate air–liquid heat exchanger is used in the CFD simulations. Steady state Reynolds-Averaged Navier–Stokes modelling approach with the RNG K-epsilon turbulence model and the Radiator boundary conditions were used in the simulations. Results predict that heat exchanger effectiveness and uniform airflow across the cabinet are key factors to achieve efficient cooling and to avoid hot spots. The fundamental advantages and limitations of CFD modelling in liquid-cooled data centre racks were also discussed. In additional, emerging technologies for data centre cooling have also been discussed.
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Dinh, Van-Binh, Benoit Delinchant, Frederic Wurtz, and Hoang-Anh Dang. "Building Modelling Methodology Combined to Robust Identification for the Temperature Prediction of a Thermal Zone in a Multi-zone Building." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75429-1_19.

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Conference papers on the topic "Temperature prediction modeling"

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Czerniak, M. "RhoVe Temperature Modeling Methods." In First EAGE Workshop on Pore Pressure Prediction. EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201700064.

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Ning, Chen, Luo Langhao, Gui Weihua, and Guo Yuqian. "Integrated modeling for roller kiln temperature prediction." In 2017 Chinese Automation Congress (CAC). IEEE, 2017. http://dx.doi.org/10.1109/cac.2017.8243301.

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Abo-Hashema, Mostafa A. "Modeling Pavement Temperature Prediction Using Artificial Neural Networks." In 2013 Airfield & Highway Pavement Conference. American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413005.039.

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Karevan, Zahra, Siamak Mehrkanoon, and Johan A. K. Suykens. "Black-box modeling for temperature prediction in weather forecasting." In 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. http://dx.doi.org/10.1109/ijcnn.2015.7280671.

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Okonkwo, Paul C., Georgina Kelly, Mohd Shariq Khan, Michael P. Pereira, Bernard F. Rolfe, and Md Saiful Islam. "The surface temperature prediction on steel-tool steel sliding pairs." In 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO). IEEE, 2019. http://dx.doi.org/10.1109/icmsao.2019.8880313.

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Johnson, Kevin R. "Temperature Prediction Modeling and Thermal Integrity Profiling of Drilled Shafts." In Geo-Congress 2014. American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413272.175.

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Chinde, Venkatesh, Jeffrey C. Heylmun, Adam Kohl, Zhanhong Jiang, Soumik Sarkar, and Atul Kelkar. "Comparative Evaluation of Control-Oriented Zone Temperature Prediction Modeling Strategies in Buildings." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9864.

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Predictive modeling of zone environment plays a critical role in developing and deploying advanced performance monitoring and control strategies for energy usage minimization in buildings while maintaining occupant comfort. The task remains extremely challenging, as buildings are fundamentally complex systems with large uncertainties stemming from weather, occupants, and building dynamics. Over the past few years, purely data-driven various control-oriented modeling techniques have been proposed to address different requirements, such as prediction accuracy, flexibility, computation and memory
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Tian, Kunmiao, Miao Cai, Ping Zhang, Xianping Chen, and Daoguo Yang. "Two-step thermoelectric modeling for junction temperature prediction of LED lamps." In 2014 15th International Conference on Electronic Packaging Technology (ICEPT). IEEE, 2014. http://dx.doi.org/10.1109/icept.2014.6922928.

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Liu, Qingguang, Jielong Wei, Sining Lei, Qingbao Huang, Mengqiao Zhang, and Xiongbin Zhou. "Temperature Prediction Modeling and Control Parameter optimization Based on Data Driven." In 2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC). IEEE, 2020. http://dx.doi.org/10.1109/dsc50466.2020.00010.

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Tian, Kunmiao, Miao Cai, Ping Zhang, Xianping Chen, and Daoguo Yang. "Two-step thermoelectric modeling for junction temperature prediction of LED lamps." In 2014 Joint IEEE International Symposium on the Applications of Ferroelectrics, International Workshop on Acoustic Transduction Materials and Devices & Workshop on Piezoresponse Force Microscopy (ISAF/IWATMD/PFM). IEEE, 2014. http://dx.doi.org/10.1109/isaf.2014.6918137.

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Reports on the topic "Temperature prediction modeling"

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Rohatgi, U. S., L. Y. Neymotin, J. Jo, and W. Wulff. Bias in peak clad temperature predictions due to uncertainties in modeling of ECC bypass and dissolved non-condensable gas phenomena. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6604519.

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