Academic literature on the topic 'Flow phenomena identification'
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Journal articles on the topic "Flow phenomena identification"
Krzysztof, Banasiak, Palacz Michal, and Hafner Armin. "1214 STATE OF THE ART IN IDENTIFICATION OF TWO-PHASE TRANSONIC FLOW PHENOMENA IN TRANSCRITICAL CO2 EJECTORS." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2013.4 (2013): _1214–1_—_1214–6_. http://dx.doi.org/10.1299/jsmeicjwsf.2013.4._1214-1_.
Full textOlczyk, A. "Identification of dynamic phenomena in pipes supplied with a pulsating flow of gas." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, no. 8 (April 2, 2009): 1851–67. http://dx.doi.org/10.1243/09544062jmes1386.
Full textManno, V. P., and K. Azar. "Thermal-Fluid Interactions of Neighboring Components on Air-Cooled Circuit Boards." Journal of Electronic Packaging 113, no. 4 (December 1, 1991): 374–81. http://dx.doi.org/10.1115/1.2905423.
Full textLiesche, Georg, and Kai Sundmacher. "Identification of Key Transport Phenomena in High-Temperature Reactors: Flow and Heat Transfer Characteristics." Industrial & Engineering Chemistry Research 57, no. 46 (October 25, 2018): 15884–97. http://dx.doi.org/10.1021/acs.iecr.8b03955.
Full textRoussel, Nicolas, and Christophe Lanos. "Plastic Fluid Flow Parameters Identification Using a Simple Squeezing Test." Applied Rheology 13, no. 3 (June 1, 2003): 132–41. http://dx.doi.org/10.1515/arh-2003-0009.
Full textMuhammad Amirul Hisham Razian, Herdawatie Abdul Kadir, Ahmad Aiman Abd Muttalib, Mohd Adib Mohammad Razi, and Babul Salam Ksm Kader Ibrahim. "Design of Vibration and Turbulence Alert System for Headwater Phenomena." Journal of Advanced Research in Applied Mechanics 119, no. 1 (July 10, 2024): 174–92. http://dx.doi.org/10.37934/aram.119.1.174192.
Full textAafrin Sulthana., S., T. Marieswaran., N. Braghadesh., N. Mithran., and M. Venkatesan. "Slug-bubble regime identification in a square channel using a IR Sensor." MATEC Web of Conferences 172 (2018): 01002. http://dx.doi.org/10.1051/matecconf/201817201002.
Full textClifton, Andrew, and Julie K. Lundquist. "Data Clustering Reveals Climate Impacts on Local Wind Phenomena." Journal of Applied Meteorology and Climatology 51, no. 8 (August 2012): 1547–57. http://dx.doi.org/10.1175/jamc-d-11-0227.1.
Full textJoshi, Jyeshtharaj B., Mandar V. Tabib, Sagar S. Deshpande, and Channamallikarjun S. Mathpati. "Dynamics of Flow Structures and Transport Phenomena, 1. Experimental and Numerical Techniques for Identification and Energy Content of Flow Structures." Industrial & Engineering Chemistry Research 48, no. 17 (September 2, 2009): 8244–84. http://dx.doi.org/10.1021/ie8012506.
Full textBurian, Ondrej, Vaclav Dostal, and Ladislav Vesely. "STUDY OF IDENTIFICATION OF TWO-PHASE FLOW PARAMETERS BY PRESSURE FLUCTUATION ANALYSIS." Acta Polytechnica CTU Proceedings 4 (December 16, 2016): 1. http://dx.doi.org/10.14311/ap.2016.4.0001.
Full textDissertations / Theses on the topic "Flow phenomena identification"
Wang, Lianfa. "Improving the confidence of CFD results by deep learning." Electronic Thesis or Diss., Université Paris sciences et lettres, 2024. http://www.theses.fr/2024UPSLM008.
Full textComputational Fluid Dynamics (CFD) has become an indispensable tool for studying complex flow phenomena in both research and industry over the years. The accuracy of CFD simulations depends on various parameters – geometry, mesh, schemes, solvers, etc. – as well as phenomenological knowledge that only an expert CFD engineer can configure and optimize. The objective of this thesis is to propose an AI assistant to help users, whether they are experts or not, to better choose simulation options and ensure the reliability of results for a target flow phenomenon. In this context, deep learning algorithms are explored to identify the characteristics of flows computed on structured and unstructured meshes of complex geometries. Initially, convolutional neural networks (CNNs), known for their ability to extract patterns from im-ages, are used to identify flow phenomena such as vortices and thermal stratification on structured 2D meshes. Although the results obtained on structured meshes are satisfactory, CNNs can only be applied to structured meshes. To overcome this limitation, a graph-based neural network (GNN) framework is proposed. This framework uses the U-Net architecture and a hierarchy of successively refined graphs through the implementation of a multigrid method (AMG) inspired by the one used in the Code_Saturne CFD code. Subsequently, an in-depth study of kernel functions was conducted according to identification accuracy and training efficiency criteria to better filter the different phenomena on unstructured meshes. After comparing available kernel functions in the literature, a new kernel function based on the Gaussian mixture model was proposed. This function is better suited to identifying flow phenomena on unstructured meshes. The superiority of the proposed architecture and kernel function is demonstrated by several numerical experiments identifying 2D vortices and its adaptability to identifying the characteristics of a 3D flow
Behra, Philippe. "Etude du comportement d'un micropolluant metallique (le mercure) au cours de sa migration a travers un milieu poreux sature : identification experimentale des mecanismes d'echanges et modelisation des phenomenes." Université Louis Pasteur (Strasbourg) (1971-2008), 1987. http://www.theses.fr/1987STR13120.
Full textBooks on the topic "Flow phenomena identification"
Kasprzak, Jaroslaw D., Anita Sadeghpour, and Ruxandra Jurcut. Doppler echocardiography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0003.
Full textTriandafyllidou, Anna. The Return of the National in a Mobile World. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474428231.003.0002.
Full textBook chapters on the topic "Flow phenomena identification"
Zhou, Junwei, Dianguang Ma, Yu Duan, and Chao Ji. "Study on Advanced Water Level Simulation Method for Inland Waterway Transport Based on the Extended Manning Formula." In Lecture Notes in Civil Engineering, 927–37. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_82.
Full textBarrera Olivarez, Marilú, Mario Alfonso Murillo Tovar, Josefina Vergara Sánchez, María Luisa García Betancourt, Francisco Martín Romero, América María Ramírez Arteaga, Gabriella Eleonora Moeller Chávez, and Hugo Albeiro Saldarriaga Noreña. "Mobility of Heavy Metals in Aquatic Environments Impacted by Ancient Mining-Waste." In Water Quality - Factors and Impacts [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98693.
Full textVALLE, BRUNO. "THE IMPORTANCE OF PETROPHYSICS IN THE REDEVELOPMENT OF MATURE FIELDS: A CASE STUDY IN THE POTIGUAR BASIN." In Resumos do I Encontro Brasileiro de Petrofísica de Campos Maduros. Editora Realize, 2022. http://dx.doi.org/10.46943/i.ebpcm.2022.01.017.
Full textVALLE, BRUNO. "THE IMPORTANCE OF PETROPHYSICS IN THE REDEVELOPMENT OF MATURE FIELDS: A CASE STUDY IN THE POTIGUAR BASIN." In Resumos do I Encontro Brasileiro de Petrofísica de Campos Maduros. Editora Realize, 2022. http://dx.doi.org/10.46943/i.ebpcm.2022.01.017.
Full textConference papers on the topic "Flow phenomena identification"
Lardeau, Sylvain, Fabrizzio Tessicini, and Michael A. Leschziner. "IDENTIFICATION OF PERIODIC AND CYCLIC EVENTS IN COMPLEX TURBULENT FLOWS." In Sixth International Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2009. http://dx.doi.org/10.1615/tsfp6.1170.
Full textVerdoold, Jos, Peter Witte, Lambertus Hoek, Mark J. Tummers, and Kemo Hanjalic. "IDENTIFICATION AND ELECTROMAGNETIC CONTROL OF STRUCTURES IN RAYLEIGH-BENARD CONVECTION." In Fourth International Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2005. http://dx.doi.org/10.1615/tsfp4.1840.
Full textWales, Christopher, Ann Gaitonde, and Dorian Jones. "Parameter Identification for Flow Phenomena Reduced-Order Models in Stall." In 38th Fluid Dynamics Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-4151.
Full textLardeau, Sylvain, Fabrizzio Tessicini, and Michael A. Leschziner. "IDENTIFICATION OF HAIRPIN-TYPE FLOW STRUCTURES IN SEPARATED FLOW BEHIND A THREE-DIMENSIONAL HILL USING POD." In Fifth International Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2007. http://dx.doi.org/10.1615/tsfp5.1270.
Full textMons, Vincent, Jean-Camille Chassaing, Thomas Gomez, and Pierre Sagaut. "A DATA ASSIMILATION STUDY FOR THE IDENTIFICATION OF SCALES GOVERNING GRID TURBULENCE DECAY." In Ninth International Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2015. http://dx.doi.org/10.1615/tsfp9.530.
Full textPallares, Jordi, Anton Vernet, Josep A. Ferre, and Francesc Xavier Grau. "IDENTIFICATION OF THE NEAR-WALL FLOW STRUCTURES RESPONSIBLE FOR THE LARGE INSTANTANEOUS DEVIATIONS OF THE MOMENTUM AND HEAT TRANSFER ANALOGY IN A FULLY DEVELOPED TURBULENT CHANNEL FLOW." In Fourth International Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 2005. http://dx.doi.org/10.1615/tsfp4.1650.
Full textKimber, Mark, Kazuhiko Suzuki, Nobutaka Kitsunai, Kenichi Seki, and Suresh V. Garimella. "Quantification of piezoelectric fan flow rate performance and experimental identification of installation effects." In 2008 11th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (I-THERM). IEEE, 2008. http://dx.doi.org/10.1109/itherm.2008.4544307.
Full textInoue, Masahiro, and Masato Furukawa. "Physics of Tip Clearance Flow in Turbomachinery (Keynote Paper)." In ASME 2002 Joint U.S.-European Fluids Engineering Division Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/fedsm2002-31184.
Full textKeska, Jerry K., and William E. Simon. "Incorporation of Flow Pattern Phenomena Into the Study of Advanced Micro Cooling Modules." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14809.
Full textSaxton, Ralph, Soumyadip Patra, Nikolaos I. Xiros, Michael M. Bernitsas, and Hai Sun. "System Identification of Hydrokinetic Energy Harvester Using Flow Induced Oscillations." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87059.
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