Simultaneous two-phase PIV by two-parameter phase discrimination

2002 ◽  
Vol 32 (2) ◽  
pp. 252-268 ◽  
Author(s):  
D. A. Khalitov ◽  
E. K. Longmire
Keyword(s):  
Two Phase ◽  
Phase Discrimination ◽  
Two Parameter

Comparison of Reduced and Conventional Two-Phase Flash Calculations

SPE Journal ◽  
2014 ◽  
Vol 20 (02) ◽  
pp. 294-305 ◽  
Author(s):  
S.E.. E. Gorucu ◽  
R.T.. T. Johns
Keyword(s):  
Variable Number ◽  
Binary Interaction ◽  
Binary Interaction Parameter ◽  
Computational Time ◽  
Compositional Simulation ◽  
Two Phase ◽  
Number Of Components ◽  
Speed Up ◽  
Conventional Methods ◽  
Two Parameter

Summary Phase-equilibrium calculations become computationally intensive in compositional simulation as the number of components and phases increases. Reduced methods were developed to address this problem, where the binary-interaction-parameter (BIP) matrix is approximated either by spectral decomposition (SD), as performed by Hendriks and van Bergen (1992), or with the two-parameter BIP formula of Li and Johns (2006). Several authors have recently stated that the SD method—and by reference all reduced methods—is not as fast as previously reported in the literature. In this paper we present the first study that compares all eight reduced and conventional methods published to date by use of optimized code and compilers. The results show that the SD method and its variants are not as fast as other reduced methods, and can be slower than the conventional approach when fewer than 10 components are used. These conclusions confirm the findings of recently published papers. The reason for the slow speed is the requirement that the code must allow for a variable number of eigenvalues. We show that the reduced method of Li and Johns (2006) and its variants, however, are faster because the number of reduced parameters is fixed to six, which is independent of the number of components. Speed up in flash calculations for their formula is achieved for all fluids studied when more than six components are used. For example, for 10-component fluids, a speed up of 2–3 in the computational time for Newton-Raphson (NR) iterations is obtained compared with the conventional method modeled after minimization of Gibbs energy. The reduced method modeled after the linearized approach of Nichita and Graciaa (2011), which uses the two-parameter BIP formula of Li and Johns (2006), is also demonstrated to have a significantly larger radius of convergence than other reduced and conventional methods for five fluids studied.

scholarly journals Studies on the Extraction of Metal Complexes. V. Two-parameter Equations for a Complex-formation System and their Application to the Two-phase Distribution of Metal Complexes.

1953 ◽  
Vol 7 ◽  
pp. 663-676 ◽  
Author(s):  
David Dyrssen ◽  
Lars Gunnar Sillén ◽  
John Rastrup-Andersen ◽  
Jörgine Stene Sörensen ◽  
Nils Andreas Sörensen
Keyword(s):  
Complex Formation ◽  
Metal Complexes ◽  
Phase Distribution ◽  
Two Phase ◽  
Two Parameter ◽  
Formation System

scholarly journals Marine Icing Sensor with Phase Discrimination

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 612
Author(s):  
Abdulrazak Elzaidi ◽  
Vlastimil Masek ◽  
Stephen Bruneau
Keyword(s):  
Signal Processing ◽  
Decision Tree ◽  
Decision Tree Model ◽  
Tree Model ◽  
Two Phase ◽  
Phase Layer ◽  
Phase Discrimination ◽  
Novel Approach ◽  
Signal Characteristics ◽  
Decision Tree Method

In this paper, a novel approach is presented to the measurement of marine icing phenomena under the presence of a two-phase condition. We have developed a sensor consisting of an electrostatic array and a signal processing based on a decision tree method. A three-element electrostatic array is employed to derive signals having linearly decoupled characteristics from which two key parameters, ice and water accretion layer dimension, can be determined for the purpose of environmental monitoring. The quantified characteristics revealed a correlation with the ice layer thickness in spite of the strong influence from the top water phase layer. The decision tree model established a relationship between the signal characteristics and the two accretion thickness parameters of water and ice layer. Through experimental verification, it has been observed that our sensor array in combination with the decision tree model based signal processing provides a simple practical solution to the challenging field of a two phase composition measurement such as in the marine icing considered in this study.

scholarly journals Development of PIV measurement technique in turbulent flow laden with binary-size particle groups

2020 ◽  
Vol 37 ◽  
pp. 161-171
Author(s):  
Wei-Cheng Chen ◽  
Keh-Chin Chang
Keyword(s):  
Spatial Information ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Phase Discrimination ◽  
Piv Measurement ◽  
Mean Size ◽  
Field Measuring ◽  
The Mean ◽  
Binary Group

Abstract Particle image velocimetry (PIV) is an instantaneous whole-field measuring diagnostic that makes it feasible to measure the microscale spatial information of the interphase dynamics for good understanding of two-phase flow. However, application of PIV to the two-phase flow measurement is still a state of the art so far. A double-discriminating process in terms of gray level and size of image patterns together with the median mask technique is developed. The test flow is a turbulent air wake laden with a binary group of particles with the mean size of 2.7 μm (representing the carrier phase) and 55 μm (representing the dispersed phase). It is demonstrated that the velocity measurements of both phases can be successfully performed through the combined PIV/PTV (particle tracking velocimetry) scheme associated with the developed phase discrimination method. It is noted that the discriminating capability of the size ratio between the large- and small-particle groups in the study is around 20 together with the mean size of O(100 μm) for small particles, which is the commonly required size for the seedings used in the PIV measurements of airflows, as compared to the size of O(101  μm) adopted in the current two-phase PIV measurement methods.

scholarly journals One modification of k-ε turbulent model of two-phase flows

1998 ◽  
Vol 20 (2) ◽  
pp. 37-45
Author(s):  
Hoang Duc Lien ◽  
I. S. Antonov ◽  
Nguyen Thanh Nam
Keyword(s):  
Carrier Phase ◽  
Turbulent Jets ◽  
Turbulent Energy ◽  
Jet Flows ◽  
Turbulent Model ◽  
Two Phase ◽  
Interaction Forces ◽  
Parameter Modification ◽  
Additional Equation ◽  
Two Parameter

A modification of k-ε turbulent model is described with application to the numerical investigation of two-phase turbulent jets. In difference of existed two-parameter models, new three-parameter modification have been suggested. In this case an additional equation for transportation of turbulent energy of admixture – kP is used together with equations of transportation of carrier-phase turbulent energy – kg and its dissipation - ε. Additional dissipation terms in the above mentioned equations are defined in connection with a new examination of the between-phases interaction forces determining jet flows.

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