Relevant bibliographies by topics / Predicting Flow Properties

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

Academic literature on the topic 'Predicting Flow Properties'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Predicting Flow Properties"

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Frankel, Richard M., and Yan Sun. "Predicting Accruals Based on Cash-Flow Properties." Accounting Review 93, no. 5 (2018): 165–86. http://dx.doi.org/10.2308/accr-52001.

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ABSTRACT Our goal is to understand the extent to which cash-flow properties explain accruals. Using the Dechow, Kothari, and Watts (1998) model, we derive a negative relation between accruals and cash-flow changes, and show that the strength of the relation is linked to negative serial correlation in cash-flow changes. Dechow et al. (1998) also suggest that the strength of the relation between accruals and revenue changes relates to operating cycle length. Prior accrual models have not incorporated these theoretical relations. We show that incorporating cash-flow changes, serial correlation in
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Wang, Yifan, Tianyi Li, Fernando J. Muzzio, and Benjamin J. Glasser. "Predicting feeder performance based on material flow properties." Powder Technology 308 (February 2017): 135–48. http://dx.doi.org/10.1016/j.powtec.2016.12.010.

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Izadi, Mohammad, and Ali Ghalambor. "A New Approach in Permeability and Hydraulic-Flow-Unit Determination." SPE Reservoir Evaluation & Engineering 16, no. 03 (2013): 257–64. http://dx.doi.org/10.2118/151576-pa.

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Summary Building an integrated subsurface model is one of the main goals of major oil and gas operators to guide the field-development plans. All field-data acquisitions from seismic, well logging, production, and geomechanical monitoring to enhanced-oil-recovery (EOR) operations can be affected by the accurate details incorporated in the subsurface model. Therefore, building a realistic integrated subsurface model of the field and associated operations is essential for a successful implementation of such projects. Furthermore, using a more reliable model can, in turn, provide the basis in the
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Zhao, Hui, Kun Zhao, and Rima Bao. "Predicting Cold Flow Properties of Diesel by Terahertz Time-Domain Spectroscopy." ISRN Spectroscopy 2012 (April 9, 2012): 1–4. http://dx.doi.org/10.5402/2012/876718.

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The frequency-dependent absorption characteristics of conventional diesel fuel have been researched in the spectral range of 0.2–1.5 THz by the terahertz time-domain spectroscopy (THz-TDS). The absorption coefficient increased monotonically with the solidifying point of diesel. A nonlinear regression model was established, and the cold flow properties of fuel were presented quantitatively. The results made the solidifying point prediction possible by THz-TDS technology and indicated the bright future in practical application.
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Salazar, Juan Fernando, Juan Camilo Villegas, Angela María Rendón, et al. "Scaling properties reveal regulation of river flows in the Amazon through a “forest reservoir”." Hydrology and Earth System Sciences 22, no. 3 (2018): 1735–48. http://dx.doi.org/10.5194/hess-22-1735-2018.

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Abstract. Many natural and social phenomena depend on river flow regimes that are being altered by global change. Understanding the mechanisms behind such alterations is crucial for predicting river flow regimes in a changing environment. Here we introduce a novel physical interpretation of the scaling properties of river flows and show that it leads to a parsimonious characterization of the flow regime of any river basin. This allows river basins to be classified as regulated or unregulated, and to identify a critical threshold between these states. We applied this framework to the Amazon riv
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Majka, Tomasz Mariusz, Marcin Majka, and Muhammad Kamrul Hasan. "PREDICTING THE FLOW PROPERTIES OF POLYAMIDE NANOCOMPOSITES BY USING VINOGRADOV-MALKIN MODEL." JOURNAL OF ADVANCES IN PHYSICS 9, no. 3 (2015): 2446–52. http://dx.doi.org/10.24297/jap.v9i3.1373.

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This article reports the prediction of the theoretical flow curves of polyamide composites by using Vinogradov-Malkin model. Determination of the melt flow index of polymeric materials is the first step to study viscosity-shear rate relationship. The viscosity of the composites at different temperatures were calculated by using the Williams, Landel'a and Ferry (WLF) equation. Other important rheological characteristics were calculated by using appropriate equations. One point method is employed to correlate the changes in viscosity with temperatures. As expected, it is found that incorporation
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Chang, H. T., and B. E. Rittmann. "Predicting bed dynamics in three-phase, fluidized-bed biofilm reactors." Water Science and Technology 29, no. 10-11 (1994): 231–41. http://dx.doi.org/10.2166/wst.1994.0766.

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This paper presents a unified model that inter-relates gas flow rate, liquid flow rate, and hold-ups of each of the liquid, gas, and solid phases in three-phase, fluidized-bed biofilm (TPFBB) process. It describes how carrier properties, biofilm properties, and gas and liquid flow velocities control the system dynamics, which ultimately will affect the density, thickness, and distribution of the biofilm. The paper describes the development of the mathematical model to correlate the effects of gas flow rate, liquid flow rate, solid concentration, and biofilm thickness and density. This knowledg
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Cumber, P. S., M. Fairweather, S. A. E. G. Falle, and J. R. Giddings. "Predictions of the Structure of Turbulent, Highly Underexpanded Jets." Journal of Fluids Engineering 117, no. 4 (1995): 599–604. http://dx.doi.org/10.1115/1.2817309.

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A mathematical model capable of predicting the shock and flow structure of turbulent, underexpanded jets is described. The model is based on solutions of the fluid flow equations obtained using a second-order accurate, finite-volume integration scheme together with an adaptive grid algorithm. Closure of these equations is achieved using a k-ε turbulence model coupled to the compressible dissipation rate correction proposed by Sarkar et al. (1991a). Extending earlier work which demonstrated the ability of this model to predict the structure of moderately underexpanded jets, the present paper co
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PETERSEN, ROBERT THOMAS, MATTHEW THOMAS BALHOFF, and STEVEN BRYANT. "COUPLING MULTIPHASE PORE-SCALE MODELS TO ACCOUNT FOR BOUNDARY CONDITIONS: APPLICATION TO 2D QUASI-STATIC PORE NETWORKS." Journal of Multiscale Modelling 03, no. 03 (2011): 109–31. http://dx.doi.org/10.1142/s1756973711000431.

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Accurate predictions of macroscopic multiphase flow properties (relative permeability and capillary pressure) are necessary for modeling flow and transport in subsurface applications, such as hydrocarbon recovery, carbon sequestration and nuclear waste storage. These properties are usually measured experimentally, but pore-scale network modeling has become an efficient alternative for understanding fundamental flow behavior and predicting macroscopic properties. In many cases, network modeling gives excellent agreement with experiment by using models physically representative of real media. Vo
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Xu, Qian, Xuduo Cheng, and Xue Chen. "Models for predicting frictional properties of rapeseed." International Agrophysics 33, no. 1 (2019): 61–66. http://dx.doi.org/10.31545/intagr/104377.

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Dissertations / Theses on the topic "Predicting Flow Properties"

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Djomlija, Milorad. "Predicting blending efficiency using only key flow properties-the next step in blender design." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024996.

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Karaman, Turker. "Prediction Of Multiphase Flow Properties From Nuclear Magnetic Resonance Imaging." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610382/index.pdf.

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In this study a hybrid Pore Network (PN) model that simulates two-phase (water-oil) drainage and imbibition mechanisms is developed. The developed model produces Nuclear Magnetic Resonance (NMR) T2 relaxation times using correlations available in the literature. The developed PN was calibrated using experimental relative permeability data obtained for Berea Sandstone, Kuzey Marmara Limestone, Yenik&ouml<br>y Dolostone and Dolomitic Limestone core plugs. Pore network body and throat parameters were obtained from serial computerized tomography scans and thin section images. It was observed that
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Esayanur, Madhavan Sujatha Sarma. "Interparticle force based methodology for prediction of cohesive powder flow properties." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0008398.

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Abada, Maria, Elin Fossum, Louise Brandt, and Anton Åkesson. "Property prediction of super-strong nanocellulose fibers." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277118.

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The innovative technology behind production of strong biofilaments involves the process of spinning filaments from nanoparticles extracted from wood. These nanoparticles are called cellulose nanofibrils (CNFs). The spun filaments can have high mechanical properties, rivaling many other plant based materials, and could be an environmentally friendly replacement for many materials in the future such as fabrics and composites. Before mass production might be possible, the optimal dispersion properties must be determined for the intended use, with regard to concentration, method of oxidation (TEMP
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Kocaker, Bahadir Mustafa. "Production Properties Prediction After Forming Process Sequence." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/4/1095512/index.pdf.

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Cold metal forming processes have been widely used for manufacturing of their high production rates and increased yield strength after forming process. For the use in service, increased yield strength of the cold-formed products should be known. The new yield strength can be found by several methods. Mechanical tests such as compression or tensile test are direct methods to obtain new yield strength if the product shape is appropriate. Finite element simulations may be another way to get accurate results for new yield strength distribution. Also Vickers hardness number can be used for predicti
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Thomson, Allan. "Prediction of transitional boundary layer properties for CFD software in engineering flows." Thesis, Abertay University, 1997. https://rke.abertay.ac.uk/en/studentTheses/42cadbec-e359-48a5-91a7-71bde28039ed.

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Two linear combination models for the transition zone in two-dimensional incompressible boundary layers have been programmed into the commercially available computational fluid dynamics software suite of programs, PHOENICS as a sink of momentum. It has been shown that it was possible to use a laminar velocity profile to predict laminar, transitional and turbulent boundary layer parameters. Method one, attributable to Fraser, Higazy and Milne (1994), was tested against a variety of flows including zero and constant adverse and favourable pressure gradients, and also the varying pressure gradien
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Su, Yung-Chieh. "Selection of Prediction Methods for Thermophysical Properties for Process Modeling and Product Design of Biodiesel Manufacturing." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32675.

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To optimize biodiesel manufacturing, many reported studies have built simulation models to quantify the relationship between operating conditions and process performance. For mass and energy balance simulations, it is essential to know the four fundamental thermophysical properties of the feed oil: liquid density (Ï L), vapor pressure (Pvap), liquid heat capacity (CpL), and heat of vaporization (Î Hvap). Additionally, to characterize the fuel qualities, it is critical to develop quantitative correlations to predict three biodiesel properties, namely, viscosity, cetane number, and flash point.
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Umbel, Matthew R. "Prediction of Turbulent Mixing at the Interface of Density Stratified, Shear Flows Using CFD." Ft. Belvoir : Defense Technical Information Center, 1998. http://handle.dtic.mil/100.2/ADA477048.

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Wiebe, Dane Michael. "Tsunami inundation : estimating damage and predicting flow properties." Thesis, 2013. http://hdl.handle.net/1957/38000.

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The 2004 Indian Ocean and 2011 Tohoku tsunami events have shown the destructive power of tsunami inundation to the constructed environment in addition to the tragic loss of life. A comparable event is expected for the Cascadia Subduction Zone (CSZ) which will impact the west coast of North America. Research efforts have focused on understanding and predicting the hazard to mitigate potential impacts. This thesis presents two manuscripts which pertain to estimating infrastructure damage and determining design loads of tsunami inundation. The first manuscript estimates damage to buildings and e
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Kate, Kunal H. "Models for predicting powder-polymer properties and their use in injection molding simulations of aluminum nitride." Thesis, 2012. http://hdl.handle.net/1957/36391.

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Powder injection molding (PIM) is widely used to manufacture complex-shaped ceramic and metal components in high production volumes. In order to design and fabricate PIM components, it is important to know a number of material properties at different powder- polymer compositions. In this thesis, several predictive models for estimating rheological, thermal and mechanical properties as a function of powder-polymer mixtures were evaluated using experimental data obtained from the literature. Based on this survey, models were selected for predicting rheological, thermal and mechanical properties
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Books on the topic "Predicting Flow Properties"

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Ni, Wenyan. Numerical prediction of the statistical properties of heated turbulent air jets in a cross-flow. 1994.

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Kam-Pui, Lee, Gupta Roop N, and Langley Research Center, eds. Computer codes for the evaluation of thermodynamic properties, transport properties, and equilibrium constants of an 11-species air model. National Aeronautics and Space Administration, Langley Research Center, 1990.

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On the applicability of high-frequency approximations to Lilley's equation. National Aeronautics and Space Administration, Glenn Research Center, 2003.

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S, Wittmer Kenneth, Wenger Christian W, and United States. National Aeronautics and Space Administration., eds. The spectral and statistical properties of turbulence generated by a vortex/blade-tip interaction: Final technical report ... Dept. of Aerospace and Ocean Engineering, Virginia Polytechnic Institute and State University, 1997.

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Book chapters on the topic "Predicting Flow Properties"

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Kaimal, J. C., and J. J. Finnigan. "Flow Over Hills." In Atmospheric Boundary Layer Flows. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195062397.003.0008.

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We now move on to the next obstacle to understanding how the boundary layer behaves in general through the study of flow over ridges and hills. In Chapter 4 we examined simple changes in surface conditions and showed how their effects extend upwards with increasing downwind distance. The distinguishing features of the flow over those changes were a small perturbation in the pressure field and an internal boundary layer, the depth of which was controlled by turbulent diffusion from the new surface. Here, we confront not a change in surface properties but a change in surface elevation that forces large-scale changes in the pressure field. The response to this forcing is more complicated than any we have tackled so far, but the work of many scientists over the past 25 years gives us a measure of understanding of the processes involved. In addition to extending to hillsides the kind of analyses of wind and turbulence we have already presented, there are new questions that only arise in the context of hill flows. One, with ramifications for large-scale prediction of the weather and climate, is how much drag hills exert on the atmosphere flowing over them. For large hills and mountains this problem is dominated by the behavior of the internal gravity waves initiated by hills; over lower topography, however, it involves a subtle balance between changes in the surface stress distribution and the pressure field. In questions of wind turbine siting, understanding the position and magnitude of accelerations in the mean wind becomes crucial, whereas changes to both the mean wind and turbulence are important when predicting the fate of atmospheric pollutants in hilly terrain or estimating wind loads on buildings. The pattern of airflow around a hill is determined not only by the hill shape but also by its size. A characteristic feature of the atmosphere as a whole is its static stability, extending all the way to the ground at night-time and down to zi during the day. As a result, the vertical movement of air parcels that must occur as the wind flows over a hill is accompanied by a gravitational restoring force.
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Kobayashi, Shiro, Soo-Ik Oh, and Taylan Altan. "Analysis and Technology in Metal Forming." In Metal Forming and the Finite-Element Method. Oxford University Press, 1989. http://dx.doi.org/10.1093/oso/9780195044027.003.0006.

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The design, control, and optimization of forming processes require (1) analytical knowledge regarding metal flow, stresses, and heat transfer, as well as (2) technological information related to lubrication, heating and cooling techniques, material handling, die design and manufacture, and forming equipment. The purpose of using analysis in metal forming is to investigate the mechanics of plastic deformation processes, with the following major objectives. • Establishing the kinematic relationships (shape, velocities, strain-rates, and strains) between the undeformed part (billet, blank, or preform) and the deformed part (product); i.e., predicting metal flow during the forming operation. This objective includes the prediction of temperatures and heat transfer, since these variables greatly influence local metal-flow conditions. • Establishing the limits of formability or producibility; i.e., determining whether it is possible to perform the forming operation without causing any surface or internal defects (cracks or folds) in the deforming material. • Predicting the stresses, the forces, and the energy necessary to carry out the forming operation. This information is necessary for tool design and for selecting the appropriate equipment, with adequate force and energy capabilities, to perform the forming operation. Thus, the mechanics of deformation provides the means for determining how the metal flows, how the desired geometry can be obtained by plastic deformation, and what the expected mechanical properties of the produced part are. For understanding the variables of a metal-forming process, it is best to consider the process as a system, as illustrated in Fig. 2.1 in Chap. 2. The interaction of most significant variables in metal forming are shown, in a simplified manner, in Fig. 3.1. It is seen that for a given billet or blank material and part geometry, the speed of deformation influences strain-rate and flow stress. Deformation speed, part geometry, and die temperature influence the temperature distribution in the formed part. Finally, flow stress, friction, and part geometry determine metal flow, forming load, and forming energy. In steady-state flow (kinematically), the velocity field remains unchanged, as is the case in the extrusion process; in nonsteadystate flow, the velocity field changes continuously with time, as is the case in upset forging.
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Kobayashi, Shiro, Soo-Ik Oh, and Taylan Altan. "Metal-Forming Processes." In Metal Forming and the Finite-Element Method. Oxford University Press, 1989. http://dx.doi.org/10.1093/oso/9780195044027.003.0005.

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In metal forming, an initially simple part—a billet or sheet blank, for example—is plastically deformed between tools (or dies) to obtain the desired final configuration. Thus, a simple part geometry is transformed into a complex one, in a process whereby the tools “store” the desired geometry and impart pressure on the deforming material through the tool-material interface. The physical phenomena constituting a forming operation are difficult to express with quantitative relationships. The metal flow, the friction at the tool-material interface, the heat generation and transfer during plastic flow, and the relationships between microstructure/properties and process conditions are difficult to predict and analyze. Often, in producing discrete parts, several forming operations (preforming) are required to transform the initial “simple” geometry into a “complex” geometry, without causing material failure or degrading material properties. Consequently, the most significant objective of any method of analysis is to assist the forming engineer in the design of forming and/or preforming sequences. For a given operation (preforming or finish-forming), such design essentially consists of (1) establishing the kinematic relationships (shape, velocities, strain-rates, strains) between the deformed and undeformed part, i.e., predicting metal flow; (2) establishing the limits of formability or producibility, i.e., determining whether it is possible to form the part without surface or internal defects; and (3) predicting the forces and stresses necessary to execute the forming operation so that tooling and equipment can be designed or selected. For the understanding and quantitative design and optimization of metal-forming operations it is useful (a) to consider a metal forming process as a system and (b) to classify these processes in a systematic way. A metal-forming system comprises all the input variables relating the billet or blank (geometry and material), the tooling (geometry and material), the conditions at the tool-material interface, the mechanics of plastic deformation, the equipment used, the characteristics of the final product, and finally the plant environment in which the process is being conducted. Such a system is illustrated in Fig. 2.1, using impression die forging as an example.
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Parlance, J. Y., and T. S. Steenhuis. "Soil Properties and Water Movement." In Vadose Zone Hydrology. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780195109900.003.0008.

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For all spatial scales, from pore through local and field, to a watershed, interaction of the land surface with the atmosphere will be one of the crucial topics in hydrology and environmental sciences over the forthcoming years. The recent lack of water in many parts of the world shows that there is an urgent need to assess our knowledge on the soil moisture dynamics. The difficulty of parameterization of soil hydrological processes lies not only in the nonlinearity of the unsaturated flow equation but also in the mismatch between the scales of measurements and the scale of model predictions. Most standard measurements of soil physical parameters provide information only at the local scale and highlight the underlying variability in soil hydrological characteristics. The efficiency of soil characteristic parameterization for the field scale depends on the clear definition of the functional relationships and parameters to be measured, and on the development of possible methods for the determination of soil characteristics with a realistic use time and effort. The soil’s hydraulic properties that affect the flow behavior can be expressed by a soil water retention curve that describes the relation between volumetric water content, θ(L3L3), and soil water pressure, h(L), plus the relation between volumetric water content and hydraulic conductivity, K(L/T). In the next section, the determination of soil hydraulic parameters is first discussed for local and field scale. Then, we show how the pore-scale processes can be linked to soil hydraulic properties. These properties are then used in some of the modern methods that use integral and superposition solutions of Richards’ equation for infiltration and water flow problems for both stable and preferential types of flows. Finally, some practical aspects for watersheds are discussed to highlight the difficulties encountered when large-scale predictions are needed.
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El-Daoushy, Farid. "Assessing Environment-Climate Impacts in the Nile Basin for Decision-making." In Green Technologies. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-472-1.ch407.

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Assessing the environmental and climatic impacts in the Nile Basin is imperative for appropriate decision and policy making on national and regional levels. Tracer techniques provide basic spatio-temporal tools for quantifying ongoing and past, and for predicting future, environmental and climatic impacts in whole Nile Basin. These tools allow the sustainable use of the natural resources through developing appropriate large-scale and long-term management and planning strategies. Radiotracers, for example, have diverse properties, unique sources and cycles in the environment. They provide powerful approaches to understand the behaviour of atmospheric processes, and the role of dry and wet-deposition on transfer of matter from the atmosphere to the earth’s surface. They are, also, useful for assessing the present status and evolution, as well as for quantifying the functioning and metabolism, in complex aquatic and land-water systems through appropriate definition of the spatio-temporal scales forcing their interactions with the environment and climate. They yield rich data on sources, pathways and flow-rates of matter (e.g. nutrients and pollutants) within and between landscape units and at the critical boundaries of the hydrosphere with the lithosphere, ecosphere and the atmosphere. Mitigation and adaptation strategies for coupled environment-climate policies require records and observations supported by model and forecasting infra-structures that can simulate the impacts of coupled environment-climate changes both on local and landscape scales. Impacts of global warming are not straightforward to predict unless reasonable scales can be used to compile and collate the diverse climatic and environmental data. Coordinated studies and observations of complex river-, lake-catchment, land-water and delta-coastal systems can provide a wide-range of information on human and climate impacts through using radiotracers as common time and space indicators for assessing the flow of matter on earth’s surface. In this context, the Nile Basin can serve as a model for coupled environment-climate impact studies in complex aquatic systems where sustainable management policies, e.g. use of natural resources, protection and rehabilitation, are needed.
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Erbel, Raimund. "The normal aorta." In ESC CardioMed, edited by Raimund Erbel. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0606.

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The aorta connects the left ventricle to the limb arteries. The segmentation includes different landmarks of the thoracic and abdominal aorta used to describe the integrity of the whole aorta. The aorta can be regarded as a connecting tube with elastic properties for pulsatile continuous flow with systolic forward and early diastolic backward flow in the ascending aorta. Different techniques have been used for measurement of elastic aortic properties, for example, pulse wave velocity correlates with cardiovascular risk and can regarded as a surrogate parameter for risk prediction. It received a class IIa, level of evidence B recommendation in the 2014 European Society of Cardiology Guidelines on the diagnosis and treatment of aortic diseases. Normal values of the aorta have been presented for men and women and demonstrate a continuous enlargement during ageing. Aortic diameters depend on body mass index and age, increasing by approximately 0.9 mm in men and 0.7 mm in women for each decade of life. For clinical use, the diameter indexes have not been found to be of additional value except for people with stature abnormalities. In the future, not only diameters but also parameters of aortic distensibility, elasticity, and flow patterns will be used in order to better identify patients at risk.
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Han, Chang Dae. "Rheology of Flexible Homopolymers." In Rheology and Processing of Polymeric Materials: Volume 1: Polymer Rheology. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780195187823.003.0012.

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Numerous flexible homopolymers and flexible random copolymers are commercially available. Thus, understandably, a number of research groups have reported on the rheological behavior of flexible homopolymers and flexible random copolymers in the bulk and solution states. There are too many studies to cite them all here. In Chapters 3 to 5 we presented the rheological behavior, in general terms, of linear flexible homopolymers in steady-state shear flow, elongational flow, and/or oscillatory shear flow. In this chapter, we present the effects of temperature, molecular weight (although in Chapter 4 we presented theoretical predictions of the effect of molecular weight), and molecular weight distribution on the rheological behavior of linear flexible homopolymers, and also flexible homopolymers with long-chain branching. The rheological behavior of much more complex polymer systems is presented in other chapters of this volume. From the point of view of polymer processing, temperature is one of the most important variables that greatly affect the rheological behavior of polymeric liquids. Therefore, it is very important to present the effect of temperature on rheological behavior, placing emphasis on the methods that enable one to obtain temperature-independent correlations for rheological properties. Such correlations, when available, will help one to estimate the rheological properties of the same polymer without conducting additional experiments. With respect to polymer synthesis and polymer processing, a better understanding of the effects of molecular weight and molecular weight distribution on the rheological behavior of a polymer is of fundamental importance. In Chapter 4 we have presented molecular theory, demonstrating that the molecular weight of a linear flexible homopolymer has a profound influence on its rheological properties. Thus, information on the relationships between molecular weight and rheology, when available, will help one to choose, with little waste of time and effort, optimum processing conditions. One of the common features of all commercial homopolymers is that they are polydisperse and, therefore, it is not difficult to surmise that the molecular weight distribution of a polymer also has a profound influence on its rheological properties.
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Zinn-Justin, Jean. "The renormalization group (RG) approach: The critical theory near four dimensions." In Quantum Field Theory and Critical Phenomena. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198834625.003.0015.

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In Chapter 14, the singular behavior of ferromagnetic systems with O(N) symmetry and short-range interactions, near a second order phase transition has been determined in the mean-field approximation, which is also a quasi-Gaussian approximation. The mean-field approximation predicts a set of universal properties, properties independent of the detailed structure of the microscopic Hamiltonian, the dimension of space, and, to a large extent, of the symmetry of systems. However, the leading corrections to the mean-field approximation, in dimensions smaller than or equal to four, diverge at the critical temperature, and the universal predictions of the mean-field approximation cannot be correct. Such a problem originates from the non-decoupling of scales and leads to the question of possible universality. In Chapter 9, the question has been answered in four dimensions using renormalization theory, and related renormalization group (RG) equations. Moreover, below four dimensions, in an expansion around the mean-field, the most singular terms near criticality can be also formally recovered from a continuum, low-mass φ<sup>4</sup> field theory. More generally, following Wilson, to understand universality beyond the mean-field approximation, it is necessary to build a general renormalization group in the form of flow equations for effective Hamiltonians and to find fixed points of the flow equations. Near four dimensions, the flow equations can be approximated by the renormalization group of quantum field theory (QFT), and the fixed points and critical behaviours derived within the framework of the Wilson-Fisher ϵ expansion.
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Han, Chang Dae. "Molecular Theories for the Viscoelasticity of Flexible Homogeneous Polymeric Liquids." In Rheology and Processing of Polymeric Materials: Volume 1: Polymer Rheology. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780195187823.003.0009.

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The fact that a polymer consists of a number of chains of different lengths, each in turn consisting of a series of monomer units, means that the motion of one part of the polymer chain will profoundly affect the motion of other parts. Hence, for a given polymer, a description of microscopic processes occurring under a given flow field depends on hypotheses regarding the molecular structure and mechanisms of flow in the polymer. Today, it is well-known, gained from practical experience, that the molecular weight, the molecular weight distribution, and the degree of long-chain branching influence the rheological properties of polymeric liquids. Therefore, a better understanding of the relationship between molecular parameters and rheological properties is very important from the standpoints of both polymer synthesis and polymer processing. However, the theoretical development of this aspect of the problem is far from complete, although some important progress has been made. In the preceding chapter, we discussed the viscoelastic behavior of polymeric liquids from the phenomenological point of view, without associating the significance of theoretical predictions to molecular origin(s). Specifically, we have seen that the rheological equations of state contain parameters that vary from polymer to polymer. Since it has amply been demonstrated by experiment that the extent of a particular viscoelastic behavior is greatly influenced by the molecular parameters, such as molecular weight, molecular weight distribution, and the degree of long-chain branching, predictions of any viscoelastic behavior of polymers on the basis of phenomenological theory is of very limited use to either control the quality of polymers produced or improve the performance of polymers, unless the parameters appearing in various continuum constitutive equations are related to molecular parameters.
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De Pascalis, Lorenzo, Giuseppe Starace, and Federica Carluccio. "The Diffusion Absorption Refrigerator Operation and Performance." In Handbook of Research on Advances and Applications in Refrigeration Systems and Technologies. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8398-3.ch002.

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This chapter focuses on the Diffusion Absorption Refrigerator (DAR) cycle and describes a new advanced thermodynamic model which allows good predictions of the chiller performance in terms of efficiency and cooling capacity, starting from a precise evaluation of the thermo-physical properties of the working mixture at each point of the circuit. A steady state thermodynamic analytical model of the thermal pump driving the DAR is also included. In addition, the experimental validation of the model, performed on a prototype built coupling a domestic 750 W-magnetron with a small purposely modified commercial DAR to activate the thermal pump, is here included: a maximum mismatch of 2.32% in the weak mixture mass flow rate and lower than 5% in COP between the predicted and measured data were found.
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Conference papers on the topic "Predicting Flow Properties"

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Lee, Gyeong-Bok, Cheol-Soo Lee, Eun-Young Heo, and Dong-Won Kim. "Predicting material properties of flow formed work-piece based on a finite deformation method." In International FAIM Conference. DEStech Publications, Inc., 2014. http://dx.doi.org/10.14809/faim.2014.0747.

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Ma, Jingsheng, Gary D. Couples, Zeyun Jiang, and Marinus I. J. van Dijke. "Predicting the Effective Gas Flow Properties of Gas Shale, from Nano-Pores to Shale Parasequences." In Unconventional Resources Technology Conference. Society of Exploration Geophysicists, American Association of Petroleum Geologists, Society of Petroleum Engineers, 2013. http://dx.doi.org/10.1190/urtec2013-237.

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Dastgheib, S. A., S. H. Musavi-Jahromi, and A. R. Nowroozpour. "Predicting Hydraulic Properties of Circular Buoyant Jets in the Static Ambient Flow Using ANN and ANFIS." In World Environmental and Water Resources Congress 2013. American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784412947.184.

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Kolla, Srinivas Swaroop, Ram S. Mohan, and Ovadia Shoham. "Mechanistic Modeling of Liquid Carry-Over for 3-Phase Flow in GLCC© Compact Separators." In ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/fedsm2018-83407.

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Gas-Liquid Cylindrical Cyclone (GLCC©) Separators have been in use in petroleum and other related industries for over two decades. Prediction of Liquid Carry-Over Operational Envelope (LCO-OE) is essential for designing and proper operation of GLCC©. Earlier mechanistic models for predicting LCO-OE were based on gas-liquid phase flow. A new mechanistic model has been developed for the prediction of the LCO-OE incorporating the effect of watercut and fluid properties for a GLCC© under liquid level and pressure control configuration. The new model captures the effect of viscosity and surface ten
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Liu, Sheng, and Yingli Hao. "A Critical Review of Slag Properties of Chinese Coals for Entrained Flow Coal Gasifier." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43307.

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Numbers of entrained flow coal gasifiers have been built in China. In China, the coal types are various and the properties between coals from different collieries are quite different causing the properties of slag different too. The experimental data for slag properties of Chinese coal are collected and critically reviewed, especially for the conditions in entrained flow coal gasifiers. The most widely used models for predicting the fusion characteristics and viscosity of Chinese coal ash slags are compared. The most suitable models for fusion characteristics and viscosity of Chinese coal ash
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Sato, Hiroshi, Yushun Cui, Shinji Yamaguchi, Isamu Sato, Atsushi Nakazawa, and Hiroyuki Adachi. "The Effect of Flow Pattern of Slurry Flow on Pressure Loss in Horizontal Pipes." In ASME/JSME 2003 4th Joint Fluids Summer Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/fedsm2003-45489.

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The purpose of this paper is to develop a reliable design tool for predicting the pressure loss based on a theoretical model in which the condition factor (a degree of homogeneity) represents flow patterns and is correlated with the geometric parameter of concentration distribution curves. By using the model the effect of the system’s variables and the properties of the solids on the Durand’s φ–φ plot, an obvious relationship between the head loss parameter and the modified Froude number, of computed pressure loss can be explained.
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Shirazi, Siamack A., and Brenton S. McLaury. "Predicting Solid Particle Erosion in Multiphase Flow: Challenges and Success Stories (Keynote Paper)." In ASME 2009 Fluids Engineering Division Summer Meeting. ASMEDC, 2009. http://dx.doi.org/10.1115/fedsm2009-78580.

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Solid particle erosion is a major problem in many industrial applications where solids are entrained in gas and/or liquid flows. For example, erosion of production equipment, well tubing and fittings is a major operating problem that costs the petroleum industry millions of dollars each year. Entrained sand particles in the oil/gas production fluid impinge on the inner surfaces of the pipes, fittings, and valves that result in solid particle erosion. In certain production situations with corrosive fluids, erosion is compounded with corrosion causing severe erosion-corrosion. Even in situations
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Cheng, Way Lee, and Reza Sadr. "A Numerical Approach in Predicting Flow Field Induced by Randomly Moving Nano Particles." In ASME 2013 4th International Conference on Micro/Nanoscale Heat and Mass Transfer. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/mnhmt2013-22113.

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There have been several reports that suspending nano-particles in a fluid, or nanofluids, can enhance heat transfer properties such as conductivity. However, the extend of the reported enhancement is inconsistent in the literature and the exact mechanisms that govern these observations (or phenomena) are not fully understood. Although the interaction between the fluid and suspended particles is suspected to be the main contributor to this phenomenon, literature shows contradicting conclusions in the underlying mechanism responsible for these effects. This highlights the need for development of
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Jin, Yuan, Shan Li, and Olivier Jung. "Prediction of Flow Properties on Turbine Vane Airfoil Surface From 3D Geometry With Convolutional Neural Network." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90811.

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Abstract Nowadays, Computational Fluid Dynamics (CFD) simulations play an increasingly important role for turbine airfoil design. This high-fidelity approach is capable to provide accurate information of flow fields. Meanwhile, the calculation accuracy is always gained at the expense of numerical cost. This gap limits opportunities for design space exploration. To address this problem, surrogate models (also known as metamodels) are introduced to approximate high-fidelity CFD models. However, traditional surrogate models, such as Kriging or Radial Basis Function, construct response surface on
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Marinack, Martin C., Patrick S. M. Dougherty, and C. Fred Higgs. "Single Particle Interaction Properties: Investigations on the Coefficient of Restitution and Coefficient of Friction." In ASME/STLE 2012 International Joint Tribology Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ijtc2012-61165.

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Understanding granular flows has always been important for predicting natural phenomena such as rockslides and soil erosion, as well as industrial processes such as coal-based fossil fuel systems and solids processing. As such, it becomes important to understand granular flows from both a classical granular flow and tribological perspective. Inherently important in the study of granular flows is the study of the individual particle level interactions, which define the global behavior of the flow. The current work examines both the coefficient of restitution (COR) and coefficient of friction (C
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