Bibliografie tematiche / Flow phenomena identification

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Letteratura scientifica selezionata sul tema "Flow phenomena identification"

Autore: Grafiati

Pubblicato: 31 agosto 2024

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Articoli di riviste sul tema "Flow phenomena identification"

Krzysztof, Banasiak, Palacz Michal e 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_.

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Olczyk, 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, n. 8 (2 aprile 2009): 1851–67. http://dx.doi.org/10.1243/09544062jmes1386.

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Pulsating flow is typical of displacement machines such as piston engines, compressors, or other displacement devices. The cyclic movement of the working element (piston, valve, membrane, etc.) generates pulsations, which, from a dynamic point of view, can be considered as excitation in the system composed of a flowing gas and pipes in which the flow takes place. This study shows that under certain conditions, a significant increase of pulse amplitudes occurs and transient values of main flow parameters are up to a few times higher than that for the equivalent steady flow conditions. This unsteadiness can be harmful or even damaging; however, in some cases it can be profitable (e.g. induction ramming of combustion engines). In order to investigate which conditions are favourable to obtain such effects in pipes, four different systems, distinguished by a different level of choking at the pipe outlet section, were tested. The experimental tests performed in the range of excitation frequencies of 0—200 Hz have shown that systems with low choking at the pipe outlet are more prone to strong dynamic effects, characterized by considerable growth of pulse amplitudes and an intensive reverse flow occurring in the proximity of resonance frequencies. In systems with high choking at the pipe outlet section, those effects were very weak. Characteristic frequencies, for which the resonance takes place, depend on the pipe length and can be determined theoretically with a simple acoustic model or a one-dimensional model ‘ x— t’ describing a pulsating flow in the pipe. The experimental verification of those resonance frequencies can be conducted with the use of transient flow parameters recorded by appropriate fast response sensors.

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Manno, V. P., e K. Azar. "Thermal-Fluid Interactions of Neighboring Components on Air-Cooled Circuit Boards". Journal of Electronic Packaging 113, n. 4 (1 dicembre 1991): 374–81. http://dx.doi.org/10.1115/1.2905423.

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The effects of neighboring components on the thermal performance of air-cooled electronic circuit boards are reviewed using a four part framework—identification, anticipation, quantification and optimization. Interactions are categorized as either isothermal fluid flow or thermal-fluid phenomena. Fluid flow phenomena include multi-dimensional, laminar and transitional flow which can have large spatial influences and exhibit unsteady behavior. The importance of all heat transfer mechanisms is demonstrated and the inadequacy of isolated component thermal characterization is illustrated. Effective thermal proximity of a neighboring component is discussed. Current achievements and inadequacies of experimental characterization and predictive models are described. Finally, proactive optimization strategies based upon circuit board layout and exploitation of unsteady flow effects are considered.

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Liesche, Georg, e Kai Sundmacher. "Identification of Key Transport Phenomena in High-Temperature Reactors: Flow and Heat Transfer Characteristics". Industrial & Engineering Chemistry Research 57, n. 46 (25 ottobre 2018): 15884–97. http://dx.doi.org/10.1021/acs.iecr.8b03955.

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Roussel, Nicolas, e Christophe Lanos. "Plastic Fluid Flow Parameters Identification Using a Simple Squeezing Test". Applied Rheology 13, n. 3 (1 giugno 2003): 132–41. http://dx.doi.org/10.1515/arh-2003-0009.

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Abstract In this paper after a presentation of the compression test and its classical references in the rheological literature a behaviour parameter identification method is introduced using simple compression tests on concentrated geo-suspensions with a plastic fluid behaviour. The obtained theoretical test response is validated for several materials (natural soils, Kaolin clay …). It is also compared with previous solutions obtained by other authors to show that most existing solutions miss one or more terms. Elements are also given on two types of test response perturbations: the induced heterogeneity in the case of slow tests (consolidation phenomena) and the fragmentation of the outer part of sample (granular paste breakings). Finally, compression test results for a nano silica paste are presented as a example and treated as an application of the test exploitation method.

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Muhammad Amirul Hisham Razian, Herdawatie Abdul Kadir, Ahmad Aiman Abd Muttalib, Mohd Adib Mohammad Razi e Babul Salam Ksm Kader Ibrahim. "Design of Vibration and Turbulence Alert System for Headwater Phenomena". Journal of Advanced Research in Applied Mechanics 119, n. 1 (10 luglio 2024): 174–92. http://dx.doi.org/10.37934/aram.119.1.174192.

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The deteriorating state of ecosystems poses risks for nature enthusiasts in forests and rivers. The hazardous headwater phenomenon, a frequent and potentially fatal occurrence, threatens human life and the environment. Recognizing the danger is challenging, as existing technologies focus on flow pattern analysis rather than identification. To address this gap, the Headwater Phenomenon Warning and Monitoring System, an IoT and mobile application, was developed. Integrating sensors like accelerometers, vibration, and rain detection, the system enables real-time monitoring and provides early warnings. The prototype contributes to early warning, flood forecast, hydrological research, climate impact assessment, disaster management, and environmental monitoring, aiding our understanding of climate change implications. The prototype underwent multiple DOE to validate sensor and communication system integrity and stability. Turbulence and vibration graphs were successfully recorded, enhancing hazard identification and real-time monitoring capabilities.

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Aafrin Sulthana., S., T. Marieswaran., N. Braghadesh., N. Mithran. e 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.

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Design of micro thrusters for nano satellites, require a detailed understanding of multiphase flow phenomena in micro/mini-channels. This work focuses on the experimental and numerical investigation of an Infra-red sensor behavior during two phase flow of a slug-bubble train (air-water two-phase flow). The regime flows inside a square channel of sides 2 mm and 0.5 mm thickness made of borosilicate glass. The interference of the slug-bubble train flow pattern on the IR transceiver characteristics is experimentally studied as current signals corresponding to the number of photons received by the photodiode. A numerical model is developed to analyze the IR transceiver characteristics using COMSOL Multiphysics package. The experimental and numerical results are in good agreement and the developed system with proper calibration can be used to design feedback loops for micro thrusters.

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Clifton, Andrew, e Julie K. Lundquist. "Data Clustering Reveals Climate Impacts on Local Wind Phenomena". Journal of Applied Meteorology and Climatology 51, n. 8 (agosto 2012): 1547–57. http://dx.doi.org/10.1175/jamc-d-11-0227.1.

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AbstractThe authors demonstrate the utility of k-means clustering for identifying relationships between winds at turbine heights and climate oscillations, thereby developing a method suited for predicting the impacts of climate change on wind resources. Fourteen years of data from an 80-m tower at the National Wind Technology Center (NWTC) in Colorado have been reduced to four dominant flow phenomena using k-means clustering. At this location, this method identifies two clusters of westerly inflow (strong and weak), another cluster of flow from the north, and one of flow from the south. Similar clusters are found for the data at all heights on the tower, and each follow distinct seasonal cycles. Time series of each cluster, as well as the mean wind speed at the NWTC, are retained for comparison with climate oscillations along with the local 500-hPa pressure gradient. The mean wind speed in the surface layer is strongly correlated with the local north–south pressure gradient. The frequency of strong westerly flow is also negatively correlated with the Niño-3.4 index, whereas weaker westerly winds are negatively correlated with the Pacific–North American pattern (PNA) and Arctic Oscillation (AO). Northerly winds at the NWTC did not strongly correlate with any of the investigated climate indices (AO, PNA, and Niño-3.4). These northerly winds occur more frequently in the summer months, suggesting that these winds are more influenced by local conditions than by mesoscale forcing. This method of identifying clusters in wind data allows objective identification of wind phenomena that may benefit the deployment of wind turbines, for example, in choosing combinations of wind speed and direction to investigate for turbine siting.

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Joshi, Jyeshtharaj B., Mandar V. Tabib, Sagar S. Deshpande e 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, n. 17 (2 settembre 2009): 8244–84. http://dx.doi.org/10.1021/ie8012506.

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Burian, Ondrej, Vaclav Dostal e Ladislav Vesely. "STUDY OF IDENTIFICATION OF TWO-PHASE FLOW PARAMETERS BY PRESSURE FLUCTUATION ANALYSIS". Acta Polytechnica CTU Proceedings 4 (16 dicembre 2016): 1. http://dx.doi.org/10.14311/ap.2016.4.0001.

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This paper deals with identification of parameters of simple pool boiling in a vertical rectangular channel by analysis of pressure fluctuation. In this work is introduced a small experimental facility about 9 kW power, which was used for simulation of pool boiling phenomena and creation of steam-water volume. Several pressure fluctuations measurements and differential pressure fluctuations measurements at warious were carried out. Main changed parameters were power of heaters and hydraulics resistance of channel internals. Measured pressure data was statistically analysed and compared with goal to find dependencies between parameters of two-phase flow and statistical properties of pressure fluctuation. At the end of this paper are summarized final results and applicability of this method for parameters determination of two phase flow for pool boiling conditions at ambient pressure.

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Più fonti

Tesi sul tema "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.

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La dynamique des fluides numérique (CFD) s’est imposée depuis plusieurs années comme un outil indispensable pour l’étude des phénomènes d’écoulement complexes en recherche et en industrie. La précision des simulations CFD dépend de plusieurs paramètres – géométrie, maillage, schémas, solveurs, etc. – ainsi que de connaissances phénoménologiques que seul un ingénieur expert en CFD peut configurer et optimiser. L’objectif de ce travail de thèse est de proposer un assistant IA pour aider les utilisateurs, qu’ils soient experts ou non, à mieux choisir les options de simulation et à garantir la fiabilité des résultats pour un phénomène d’écoulement cible. Dans ce cadre, des algorithmes d’apprentissage profond sont explorés pour identifier les caractéristiques des écoulements calculés sur des maillages structurés et non structurés de géométries complexes. Dans un premier temps, des réseaux de neurones convolutifs (CNN), réputés pour leur capacité à extraire des motifs sur des images, sont utilisés pour identifier des phénomènes d’écoulement tels que les tourbillons et la stratification thermique sur des maillages structurés en 2D. Bien que les ré-sultats obtenus sur maillages structurés soient satisfaisants, les réseaux CNN ne peuvent être appliqués qu’à ce type de maillage. Pour surmonter cette limitation, un cadre de réseau neuronal basé sur les graphes (GNN) est proposé. Ce cadre utilise l’architecture U-Net et une hiérarchie de graphes successivement déraffinés grâce à la mise en oeuvre d’une méthode multigrille (AMG) inspirée de celle utilisée dans le code de simulation Code_Saturne. Par la suite, une étude ap-profondie des fonctions à noyau a été menée selon des critères de précision d’identification et d’efficacité d’entraînement pour mieux filtrer les différents phénomènes sur maillages non structurés. Après avoir comparé des fonctions à noyau disponibles dans la littérature, une nouvelle fonction à noyau basée sur le modèle de mélange gaussien a été proposée. Cette fonction est mieux adaptée à l’identification de phénomènes d’écoulement sur des maillages non structurés. La supériorité de l’architecture et de la fonction à noyau proposées est démontrée par plusieurs expériences numériques d’identification des tourbillons en 2D, ainsi que par son adaptabilité à l’identification des caractéristiques d’un écoulement en 3D
Computational 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

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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.

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Libri sul tema "Flow phenomena identification"

Kasprzak, Jaroslaw D., Anita Sadeghpour e Ruxandra Jurcut. Doppler echocardiography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0003.

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Doppler examination is an integral part of the echocardiogram. Current systems are equipped with spectral Doppler in continuous wave mode (offering measurements of high velocities with limited spatial specificity due to integration of signal along the scan line), pulsed wave mode (high spatial specificity with maximal recordable velocity reduced by the Nyquist limit), and colour Doppler flow mapping (allowing rapid identification of flow pattern within a cross-sectional B-mode sector). Tissue Doppler echocardiography emerged as a basic tool for sampling regional myocardial velocities, in pulsed wave or colour velocity mapping mode. Finally, three-dimensional systems improve spatial presentation of flow phenomena by integrating Doppler-derived flow patterns in three-dimensional datasets.

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Triandafyllidou, Anna. The Return of the National in a Mobile World. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474428231.003.0002.

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Nations are faced today with a new set of social and economic challenges: economic globalisation has intensified bringing with it a more intense phase of cultural interconnectedness and political interdependence. Globalisation has also further driven and multiplied international flows not only of capitals, goods and services but also of people. National states have seen their capacity to govern undermined by these processes. However, in Europe, the nation continues to be a powerful source of identity and legitimacy. This chapter offers a reflection on the centrifugal and centripetal forces that challenge the nation today and the kind of analytical tools that we need to connect wider socio-economic transformations with nationalism theories. The chapter is organised as follows. I first briefly review globalisation as a socio-economic phenomenon and the changes it brings at the identity level, leading to what Bauman has termed liquid modernity. In section three I am arguing however that the increased and diversified types of international migration and mobility that globalisation brings, lead to the re-emergence of the nation as a relevant point of reference for identification as well as a relevant political community that can protect people and tame the forces of globalisation. Last I am surveying developments in several European countries showing how citizens seek refuge from the social and economic challenges of globalisation and international mobility in the warm embrace of the nation that offers both the promise of political sovereignty and legitimacy and that of a feeling of shared destiny – something that for instance regional formations like the European Union cannot offer.

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Capitoli di libri sul tema "Flow phenomena identification"

Zhou, Junwei, Dianguang Ma, Yu Duan e 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.

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AbstractThe water level is a critical hydraulic parameter for inland ship safe navigation, as well as an important variable in inland waterway transport minoring and assistant systems. As a basic and traditional method, the one-dimensional (1D) hydrodynamic model is adapted to simulate river sections/waterway segments to obtain water levels numerically. However, the friction factor, i.e., Manning’s coefficient n, is a sensitive parameter for the traditional 1D hydrodynamic model. Its calibration or identification is not only very time-consuming but also unpractical. Due to its sensitivity to the simulation results, usually, one identified parameter cannot be adopted into other flow scenarios. It has been concluded that the unfitness of the traditional empirical quasi-steady friction formulae leads to these consequences/phenomena. Besides finding advanced parameter calibration algorithms and updating friction parameters dynamically, employing a true unsteady friction formula to replace the quasi-steady friction formula is a thorough solution to the problem. In this study, we introduced a newly proposed 1D unsteady friction formula to the momentum equation of the Saint-Venant Equations, thus a modified 1D hydrodynamic model was developed. To validate its capability in simulating water levels, the modified model was adopted into the Xia-la-xian – La-he-lian section of Daying River; and compared with the traditional model with the Manning formula. Results showed that the modified hydrodynamic model performs better in both water level and cross-sectional average velocity simulation. The research results can be used to support the construction of intelligent water level warning systems, intelligent shipping, and digital waterway transportation platforms.

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Barrera Olivarez, Marilú, Mario Alfonso Murillo Tovar, Josefina Vergara Sánchez, María Luisa García Betancourt, Francisco Martín Romero, América María Ramírez Arteaga, Gabriella Eleonora Moeller Chávez e 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.

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The mobility of heavy metals in aquatic environments, impacted by discharges from mining waste, is one of the major processes causing metal pollution mainly by arsenic (As), cadmium (Cd), lead (Pb), zinc (Zn) and iron (Fe), which could be risky for biota and human health. The heavy metals contained in mining waste constituted by large amounts of sulfides can reach the aquatic compartments by acid mine drainage and runoff and eventually become deposited in sediments and associated with colloidal material, being this one of the main reservoirs and ways of transport. However, the mobility of heavy metal is influenced by their specific chemical properties and undergo several physicochemical phenomena as sorption, oxidation–reduction, hydrolysis and this can be influenced by water flow, the size and composition of geological material. Hence, this work aims to review the processes and mechanism involved in the fate and transport of heavy metals from mining-waste to aquatic compartments and the methods used for identification of the specific chemical species associated with their mobility and ecological risk.

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VALLE, 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.

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IN THE PAST YEARS THE REDEVELOPMENT OF MATURE FIELDS HAS BECOME AN IMPORTANT THEME IN BRAZIL DUE TO THE DISINVESTMENT PLAN OF THE MAJOR OPERATOR IN THE COUNTRY. IN THIS SCENARIO, NEW PLAYERS SPECIALIZED IN REVITALIZING THESE FIELDS ARE APPLYING DIFFERENT STRATEGIES AND ACHIEVING IMPORTANT RESULTS. THE PRODUCTION DECLINE IN BROWNFIELDS IS A NATURAL PHENOMENON AND SEVERAL TECHNIQUES CAN BE DEPLOYED TO REVERSE THIS DECLINE. IN THIS SENSE, THE INTEGRATED APPROACH BETWEEN MANY DIFFERENT AREAS IS A KEY FACTOR, WHICH CAN RESULT IN A MORE RELIABLE RESERVOIR CHARACTERIZATION AND FIELD DEVELOPMENT. THE PETROPHYSICS PLAY A KEY ROLE IN THE REDEVELOPMENT STRATEGIES, ACTING INTEGRATED WITH GEOLOGY, RESERVOIR ENGINEERING AND OPERATIONS. A GOOD STATIC MODEL IS ONE OF THE MOST IMPORTANT PREMISES WHEN STUDYING A RESERVOIR, APPLYING HIGH-RESOLUTION STRATIGRAPHY TECHNIQUES, IDENTIFYING RESERVOIR CONNECTIVITY AND FLOW UNITS. IN ADDITION, THE INTEGRATION BETWEEN PETROPHYSICS AND RESERVOIR ENGINEERING HAS A CRUCIAL ROLE IN THE ESTABLISHMENT RESERVOIR DEPLETION LEVELS AND ESTIMATING CURRENT WATER SATURATION AND OIL-WATER CONTACT DISPLACEMENT. THE USE OF CASED HOLE TOOLS SUCH AS PULSED NEUTRON LOGS AID IN THE RESERVOIR MONITORING, IN THE IDENTIFICATION OF BYPASSED OIL ZONES AND SIGNIFICANTLY REDUCES RISKS IN WORKOVER ACTIVITIES. IN THIS PRESENTATION IT WILL BE DESCRIBED WORKFLOWS AND TECHNIQUES OF HOW PETROPHYSICS WAS APPLIED IN THE CONCEPT OF MATURE OILFIELD REDEVELOPMENT, WHICH LED TO AN INCREASE OF RESERVOIR PRODUCTIVITY IN OVER 60%.

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Atti di convegni sul tema "Flow phenomena identification"

Lardeau, Sylvain, Fabrizzio Tessicini e 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.

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Verdoold, Jos, Peter Witte, Lambertus Hoek, Mark J. Tummers e 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.

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Wales, Christopher, Ann Gaitonde e 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.

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Lardeau, Sylvain, Fabrizzio Tessicini e 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.

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Mons, Vincent, Jean-Camille Chassaing, Thomas Gomez e 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.

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Pallares, Jordi, Anton Vernet, Josep A. Ferre e 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.

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Kimber, Mark, Kazuhiko Suzuki, Nobutaka Kitsunai, Kenichi Seki e 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.

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Inoue, Masahiro, e 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.

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In a recent advanced aerodynamic design of turbomachinery, the physical interpretation of three-dimensional flow field obtained by a numerical simulation is important for iterative modifications of the blade or impeller geometry. This paper describes an approach to the physical interpretation of the tip clearance flow in turbomachinery. First, typical flow phenomena of the tip clearance flow are outlined for axial and radial compressors, pumps and turbines to help comprehensive understanding of the tip clearance flow. Then, a vortex-core identification method which enables to extract the vortical structure from the complicated flow field is introduced, since elucidation of the vortical structure is essential to the physical interpretation of the tip clearance flow. By use of the vortex-core identification, some interesting phenomena of the tip clearance flows are interpreted, especially focussing on axial flow compressors.

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Keska, Jerry K., e 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.

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The need for high-performance thermal protection and fluid management techniques for systems ranging from cryogenic reactant storage devices to primary structures and propulsion systems exposed to extreme high temperatures, and other space systems such as cooling or environmental control for advanced space suits and integrated electronic circuits, requires an effective cooling system to accommodate the compact nature and high heat fluxes associated with these applications. A two-phase forced-convection, phase-transition system can accommodate such requirements through the use of the concept of Advanced Micro Cooling Modules (AMCMs), which are essentially compact two-phase heat exchangers constructed of microchannels and designed to remove large amounts of heat rapidly from critical systems by incorporating phase transition. Realizing the significance of research in this area, this paper presents the results of experimental research on two-phase flow in microchannels with verification and identification of data using concomitant measurement systems, where based on the experimental research conducted on air-water mixture flows in the entire range of concentration and flow patterns in a horizontal square microchannel, a mathematical model based on in situ parameters is developed and presented, which describes pressure losses in two-phase flow incorporating flow pattern phenomena. Validation of the model is accomplished. A hypothetical model for the two-phase heat transfer coefficient is also presented, which incorporates the flow patterns through the use of a flow pattern coefficient.

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Saxton, Ralph, Soumyadip Patra, Nikolaos I. Xiros, Michael M. Bernitsas e 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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Abstract (sommario):

Using data series obtained by experiments at the Marine Renewable Energy Laboratory of the University of Michigan, a Data-Driven Model is constructed for further investigation of the Process Dynamics and Control System Design and Configuration. This will enable advances in hydrokinetic energy harvesting using Vortex Induced Vibrations (VIV) and galloping, or more generally, Flow Induced Oscillations (FIO). Typically in such energy converters, one or more multiple bluff bodies, such as cylinders are suspended on springs in a water flow (currents, tides, rivers). In commonly encountered flows, oscillations are induced to the bluff rigid bodies due to vortex shedding in their wake, or due to lift instabilities in galloping, or both. These phenomena are dependent on stiffness, damping, mass ratio and the resulting vortex shedding frequency. The experiments in the cases investigated generated position signal recordings for one or two cylinders used as bluff bodies in FIO in a cross-flow. The position signals are used to set up a dynamic model. The model equation helps in gaining insight into the dynamics and underlying physics of the modeled FIO and can be used for Control System Tuning and Verification.

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