Technique for quantitative mapping of three-dimensional liquid–gas phase boundaries in microchannel flows

2014 ◽  
Vol 62 ◽  
pp. 45-51 ◽  
Author(s):  
Ravi S. Patel ◽  
Suresh V. Garimella
Keyword(s):  
Gas Phase ◽  
Three Dimensional ◽  
Phase Boundaries ◽  
Quantitative Mapping ◽  
Microchannel Flows

scholarly journals Galaxy and mass assembly (GAMA): the inferred mass–metallicity relation from z = 0 to 3.5 via forensic SED fitting

2021 ◽  
Vol 503 (3) ◽  
pp. 3309-3325
Author(s):  
Sabine Bellstedt ◽  
Aaron S G Robotham ◽  
Simon P Driver ◽  
Jessica E Thorne ◽  
Luke J M Davies ◽  
...  
Keyword(s):  
Star Formation ◽  
Gas Phase ◽  
Large Range ◽  
Three Dimensional ◽  
Cosmic Time ◽  
Slowing Down ◽  
History Of ◽  
Mass Assembly ◽  
Star Formation Histories ◽  
Cosmic History

ABSTRACT We analyse the metallicity histories of ∼4500 galaxies from the GAMA survey at z < 0.06 modelled by the SED-fitting code ProSpect using an evolving metallicity implementation. These metallicity histories, in combination with the associated star formation histories, allow us to analyse the inferred gas-phase mass–metallicity relation. Furthermore, we extract the mass–metallicity relation at a sequence of epochs in cosmic history, to track the evolving mass–metallicity relation with time. Through comparison with observations of gas-phase metallicity over a large range of redshifts, we show that, remarkably, our forensic SED analysis has produced an evolving mass–metallicity relationship that is consistent with observations at all epochs. We additionally analyse the three-dimensional mass–metallicity–SFR space, showing that galaxies occupy a clearly defined plane. This plane is shown to be subtly evolving, displaying an increased tilt with time caused by general enrichment, and also the slowing down of star formation with cosmic time. This evolution is most apparent at lookback times greater than 7 Gyr. The trends in metallicity recovered in this work highlight that the evolving metallicity implementation used within the SED-fitting code ProSpect produces reasonable metallicity results over the history of a galaxy. This is expected to provide a significant improvement to the accuracy of the SED-fitting outputs.

scholarly journals Three-dimensional diamagnetic particle deflection in ferrofluid microchannel flows

2011 ◽  
Vol 5 (3) ◽  
pp. 034110 ◽  
Author(s):  
Litao Liang ◽  
Junjie Zhu ◽  
Xiangchun Xuan
Keyword(s):  
Three Dimensional ◽  
Microchannel Flows

scholarly journals Development of aroCACM/MPMPO 1.0: a model to simulate secondary organic aerosol from aromatic precursors in regional models

2016 ◽  
Vol 9 (6) ◽  
pp. 2143-2151 ◽  
Author(s):  
Matthew L. Dawson ◽  
Jialu Xu ◽  
Robert J. Griffin ◽  
Donald Dabdub
Keyword(s):  
Gas Phase ◽  
Atmospheric Chemistry ◽  
Urban Areas ◽  
Secondary Organic Aerosol ◽  
Three Dimensional ◽  
Organic Aerosol ◽  
Phase Partitioning ◽  
California Institute Of Technology ◽  
Institute Of Technology ◽  
Three Dimensional Models

Abstract. The atmospheric oxidation of aromatic compounds is an important source of secondary organic aerosol (SOA) in urban areas. The oxidation of aromatics depends strongly on the levels of nitrogen oxides (NOx). However, details of the mechanisms by which oxidation occurs have only recently been elucidated. Xu et al. (2015) developed an updated version of the gas-phase Caltech Atmospheric Chemistry Mechanism (CACM) designed to simulate toluene and m-xylene oxidation in chamber experiments over a range of NOx conditions. The output from such a mechanism can be used in thermodynamic predictions of gas–particle partitioning leading to SOA. The current work reports the development of a model for SOA formation that combines the gas-phase mechanism of Xu et al. (2015) with an updated lumped SOA-partitioning scheme (Model to Predict the Multi-phase Partitioning of Organics, MPMPO) that allows partitioning to multiple aerosol phases and that is designed for use in larger-scale three-dimensional models. The resulting model is termed aroCACM/MPMPO 1.0. The model is integrated into the University of California, Irvine – California Institute of Technology (UCI-CIT) Airshed Model, which simulates the South Coast Air Basin (SoCAB) of California. Simulations using 2012 emissions indicate that “low-NOx” pathways to SOA formation from aromatic oxidation play an important role, even in regions that typically exhibit high-NOx concentrations.

scholarly journals A comparative study of AumRhn (4 ≤ m + n ≤ 6) clusters in the gas phase versus those deposited on (100) MgO

2016 ◽  
Vol 18 (32) ◽  
pp. 22122-22128 ◽  
Author(s):  
Fernando Buendía ◽  
Jorge A. Vargas ◽  
Marcela R. Beltrán ◽  
Jack B. A. Davis ◽  
Roy L. Johnston
Keyword(s):  
Genetic Algorithm ◽  
Density Functional Theory ◽  
Gas Phase ◽  
Density Functional ◽  
Energy Surface ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Functional Theory ◽  
Phase Versus ◽  
Combined Use

The combined use of a genetic algorithm and Density Functional Theory (DFT) calculations allows us to explore the potential energy surface. Our results show interesting effects on the geometries of the clusters on deposition. Two-dimensional clusters in the gas phase become three-dimensional and vice versa.

Simulation of Steamflooding With Distillation and Solution Gas

1976 ◽  
Vol 16 (05) ◽  
pp. 235-247 ◽  
Author(s):  
K.H. Coats
Keyword(s):  
Temperature Dependence ◽  
Gas Phase ◽  
Relative Permeability ◽  
Steam Distillation ◽  
Laboratory Data ◽  
Three Dimensional ◽  
Steam Injection ◽  
Injection Rate ◽  
Solution Gas ◽  
Injection Rates

Abstract This paper describes a three-dimensional numerical model for simulating steam-injection processes. The model accounts for solution gas and steam distillation of oil. The relative-permeability treatment presented includes a flexible but simple representation of temperature dependence and a history-dependent hysteresis in gas relative permeability. Since computational stability is a major difficulty in steamflood simulation, an implicit treatment of transmissibilities and capillary pressure is presented in detail. Model applications include comparisons with laboratory data, sensitivity experiments, and a field steam-injection test. Introduction Shutler and Abdalla and Coats described two-dimensional, three-phase flow numerical models for simulating steam-injection processes. Weinstein et al. described a one-dimensional model that accounted for steam distillation of oil. Coats et al. described a three-dimensional steamflood model that neglected steam distillation of oil, release of solution gas at elevated temperatures, and temperature dependence of relative permeability. This paper describes an extended formulation that includes these three phenomena and uses a more implicit treatment of capillary pressures and transmissibilities in the fluid-saturation calculations. The extended formulation represents a step toward a fully compositional thermal model without incurring the computational expense of the latter. The relative-permeability treatment described includes a rather flexible but simple representation of temperature dependence and incorporates a hysteresis in gas-phase relative permeability that varies with the historical maximum grid-block gas saturation. The phase-behavior representation is the weakest element of this work. We have found insufficient data relative to PVT behavior of a heavy-oil/steam system to justify sophisticated schemes of the type used in isothermal hydrocarbon systems. The PVT treatment presented is the simplest we could construct subject to the objectives of "directional correctness," reasonable quantitative accuracy, and ability to obtain required parameters from laboratory data either normally parameters from laboratory data either normally available or readily determinable. Model results presented include a comparison with laboratory data for a steamflood of a distillable oil; sensitivity results indicating effects and relative importance of various types of input data; and a comparison between calculated and observed injection rates for a Cold Lake (Alta.) steam-injection test. The latter is of interest in regard to reservations we have had regarding a model's ability to predict steam-injection rates into virtually immobile oil (100,000 cp). The field-test data showed initial and sustained steam-injection rates of 1,400 STB/D (cold-water equivalent). We discuss several reservoir-fluid parameters that had little effect and one independently measured parameter that had a pronounced effect on the calculated injection rate. pronounced effect on the calculated injection rate. MODEL DESCRIPTION The model consists and sewn equations expressing conservation of energy, conservation of mass, and constraints on sums of liquid and gas phase mol fractions. The mass-conservation equations apply to water and to each of three hydrocarbon components. In finite-difference form these equations are the following. SPEJ P. 235

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