Investigation of the Role of Droplet Transport in Mitigating Top of the Line Corrosion

CORROSION ◽  
10.5006/2764 ◽  
2018 ◽  
Vol 74 (8) ◽  
pp. 873-885
Author(s):  
Nicolas Jauseau ◽  
Fernando Farelas ◽  
Marc Singer ◽  
Srdjan Nešić
Keyword(s):  
Large Scale ◽  
Flow Region ◽  
Limited Range ◽  
Operating Conditions ◽  
Experimental Methodology ◽  
Liquid Droplets ◽  
Flow Loop ◽  
Droplet Entrainment ◽  
Droplet Transport ◽  
Large Scale Flow

The entrainment of liquid droplets, occurring in a limited range of gas and liquid flow conditions within the stratified flow region, could represent an effective way to transport a non-volatile liquid corrosion inhibitor through the gas phase and combat top of the line corrosion (TLC). However, such an approach is only viable if the inhibitor can reach the top of the pipe and deposit at a rate higher than the local rate of condensing water can dilute it. This work presents a combined modeling and experimental methodology to determine the onset of droplet entrainment from the bottom and deposition at the top of the line. A modeling approach predicting the droplet entrainment onset is proposed and validated against new multiphase flow data recorded in a large scale flow loop, at operating conditions similar to those encountered in gas-condensate production facilities. Additionally, TLC experiments were performed in the same flow loop under simulated water condensation conditions to measure the actual corrosion at different rates of inhibiting droplet deposition. The results confirm that the droplet entrainment/deposition can effectively mitigate TLC when operating parameters are accurately controlled.

scholarly journals The Development of a Second-Generation of Controlled Diffusion Airfoils for Multistage Compressors

1985 ◽  
Author(s):  
R. F. Behlke
Keyword(s):  
Large Scale ◽  
First Generation ◽  
Second Generation ◽  
Flow Region ◽  
Operating Conditions ◽  
Design Model ◽  
Controlled Diffusion ◽  
Significant Performance ◽  
Multistage Compressors ◽  
High Mach

The evolution of Controlled Diffusion Airfoils is traced from inception of the theoretical design model to demonstration of significant performance gains at engine operating conditions in a multistage compressor rig. The proven aerodynamic benefits and versatility of first-generation Controlled Diffusion Airfoil blade elements are extended to the endwall flow region using an Integrated Core/Endwall Vortex design model to produce a new full span optimized second-generation Controlled Diffusion design. Highlighted are the essential roles of extensive cascade, low speed, large scale and high Mach number compressor rig testing in developing and substantiating the second generation Controlled Diffusion technology resulting in a 1.5% increase in efficiency and 30% increase in surge-free operation relative to first-generation Controlled Diffusion Airfoils.

The Development of a Second Generation of Controlled Diffusion Airfoils for Multistage Compressors

1986 ◽  
Vol 108 (1) ◽  
pp. 32-40 ◽  
Author(s):  
R. F. Behlke
Keyword(s):  
Large Scale ◽  
First Generation ◽  
Second Generation ◽  
Flow Region ◽  
Operating Conditions ◽  
Design Model ◽  
Controlled Diffusion ◽  
Percent Increase ◽  
Significant Performance ◽  
High Mach

The evolution of Controlled Diffusion Airfoils is traced from inception of the theoretical design model to demonstration of significant performance gains at engine operating conditions in a multistage compressor rig. The proven aerodynamic benefits and versatility of first-generation Controlled Diffusion Airfoil blade elements are extended to the endwall flow region using an Integrated Core/Endwall Vortex design model to produce a new full-span optimized second-generation Controlled Diffusion design. Highlighted are the essential roles of extensive cascade, low-speed, large-scale, and high Mach number compressor rig testing in developing and substantiating the second-generation Controlled Diffusion technology resulting in a 1.5 percent increase in efficiency and 30 percent increase in surge-free operation relative to first-generation Controlled Diffusion Airfoils.

Optimization Settings Application Analysis of Peak-Shaving Heat Source in Large Scale Flow Loop Heating Network

2013 ◽  
Vol 353-356 ◽  
pp. 3072-3076
Author(s):  
Hai Jiao Guo ◽  
Chun Hua Sun ◽  
Cheng Ying Qi ◽  
Feng Yun Jin ◽  
Liang Zhang
Keyword(s):  
Heat Source ◽  
Large Scale ◽  
Target Function ◽  
Heat Sources ◽  
Flow Loop ◽  
Peak Shaving ◽  
Matching Rule ◽  
Operation Pattern ◽  
Large Scale Flow ◽  
Set Up

Set up the optimized target function by theoretical analysis of peak-shaving heat source optimization settings, determined optimal locations of peak-shaving heat source and capacity matching relation by comparison analysis. Concluded and analyzed optimal locations and heat capacity matching rule of each heat source when multiple heat sources worked jointly. Results and conclusions provide a valuable reference to the formation on combined economic operation pattern in large scale loop network using multiple heat sources.

Evaluation of a Novel Top-of-the-Line Corrosion (TLC) Mitigation Method in a Large-Scale Flow Loop

CORROSION ◽  
10.5006/1317 ◽  
2015 ◽  
Vol 71 (3) ◽  
pp. 389-397 ◽  
Author(s):  
I. Jevremović ◽  
M. Singer ◽  
M. Achour ◽  
V. Mišković-Stanković ◽  
S. Nešić
Keyword(s):  
Large Scale ◽  
Flow Loop ◽  
Large Scale Flow

Adsorption Isotherm Predictions for Multiple Molecules in MOFs Using the Same Deep Learning Model

2019 ◽  
Author(s):  
Ryther Anderson ◽  
Achay Biong ◽  
Diego Gómez-Gualdrón
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Molecular Simulation ◽  
Large Scale ◽  
Learning Model ◽  
Operating Conditions ◽  
Small Subset ◽  
Screening Methods ◽  
Large Set ◽  
Metal Organic

<div>Tailoring the structure and chemistry of metal-organic frameworks (MOFs) enables the manipulation of their adsorption properties to suit specific energy and environmental applications. As there are millions of possible MOFs (with tens of thousands already synthesized), molecular simulation, such as grand canonical Monte Carlo (GCMC), has frequently been used to rapidly evaluate the adsorption performance of a large set of MOFs. This allows subsequent experiments to focus only on a small subset of the most promising MOFs. In many instances, however, even molecular simulation becomes prohibitively time consuming, underscoring the need for alternative screening methods, such as machine learning, to precede molecular simulation efforts. In this study, as a proof of concept, we trained a neural network as the first example of a machine learning model capable of predicting full adsorption isotherms of different molecules not included in the training of the model. To achieve this, we trained our neural network only on alchemical species, represented only by their geometry and force field parameters, and used this neural network to predict the loadings of real adsorbates. We focused on predicting room temperature adsorption of small (one- and two-atom) molecules relevant to chemical separations. Namely, argon, krypton, xenon, methane, ethane, and nitrogen. However, we also observed surprisingly promising predictions for more complex molecules, whose properties are outside the range spanned by the alchemical adsorbates. Prediction accuracies suitable for large-scale screening were achieved using simple MOF (e.g. geometric properties and chemical moieties), and adsorbate (e.g. forcefield parameters and geometry) descriptors. Our results illustrate a new philosophy of training that opens the path towards development of machine learning models that can predict the adsorption loading of any new adsorbate at any new operating conditions in any new MOF.</div>

Role of Reynolds and Archimedes numbers in particle-fluid flows

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Haim Kalman
Keyword(s):  
Flow Regime ◽  
Power Function ◽  
Fluid Flows ◽  
Limited Range ◽  
Operating Conditions ◽  
Pneumatic Conveying ◽  
Particulate Materials ◽  
Simple Power ◽  
Simple Power Function

AbstractAny scientific behavior is best represented by nondimensional numbers. However, in many cases, for pneumatic conveying systems, dimensional equations are developed and used. In some cases, many of the nondimensional equations include Reynolds (Re) and Froude (Fr) numbers; they are usually defined for a limited range of materials and operating conditions. This study demonstrates that most of the relevant flow types, whether in horizontal or vertical pipes, can be better described by Re and Archimedes (Ar) numbers. Ar can also be used in hydraulic conveying systems. This paper presents many threshold velocities that are accurately defined by Re as a simple power function of Ar. Many particulate materials are considered by Ar, thereby linking them to a common behavior. Using various threshold velocities, a flow regime chart for horizontal conveying is presented in this paper.

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