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Records with Subject: Modelling and Simulations
4755. LAPSE:2023.2840
Modeling and Experimental Studies on Carbon Dioxide Absorption with Sodium Hydroxide Solution in a Rotating Zigzag Bed
February 21, 2023 (v1)
Subject: Modelling and Simulations
The enhancement of mass transfer is very important in CO2 absorption, and a rotating zigzag bed (RZB) is a promising device to intensify the gas−liquid mass transfer efficiency. In this study, the mass transfer characteristics in an RZB in relation to the overall gas-phase volumetric mass-transfer coefficient (KGa) were investigated with a CO2−NaOH system. A mathematical model was established to illustrate the mechanism of the gas−liquid mass transfer with irreversible pseudo-first-order reaction in the RZB. The effects of various operating conditions on KGa were examined. Experimental results show that a rise in the liquid flow rate, inlet gas flow rate, rotational speed, absorbent temperature, and absorbent concentration was conducive to the mass transfer between gas and liquid in the RZB. It was found that the rotational speed had the largest impact on KGa in the RZB. The KGa predicted by the model agreed well with that by the experiments, with deviations generally within 10%. There... [more]
4756. LAPSE:2023.2836
When the Total Hip Replacement Fails: A Review on the Stress-Shielding Effect
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: bone remodeling, stress-shielding, total hip prosthesis
Total hip arthroplasty is one of the most common and successful orthopedic surgeries. Sometimes, periprosthetic osteolysis occurs associated with the stress-shielding effect: it results in the reduction of bone density, where the femur is not correctly loaded, and in the formation of denser bone, where stresses are confined. This paper illustrates the stress shielding effect as a cause of the failing replacement of the hip joint. An extensive literature survey has been accomplished to describe the phenomenon and identify solutions. The latter refer to the design criteria and the choice of innovative materials/treatments for prosthetic device production. Experimental studies and numerical simulations have been reviewed. The paper includes an introduction to explain the scope; a section illustrating the causes of the stress shielding effect; a section focusing on recent attempts to redefine prosthetic device design criteria, current strategies to improve the osteointegration process, and... [more]
4757. LAPSE:2023.2833
Investigations of Middle-Caliber Anti-Aircraft Cannon Interior Ballistics including Heat Transfer Problem in Estimation of Critical Burst Length
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: anti-aircraft cannon, barrel resistance, heat transfer in barrel, interior ballistics modelling, numerical simulations
Numerical and experimental investigations of armament systems are an important part of modern design processes. The presented paper reports problems that were encountered on the theoretical analysis of the performance of 35 mm anti-aircraft cannon and the way in which they were solved. The first problem concerns the application of results of closed vessel tests of used propellant in interior ballistics simulations. The use of a nonstandard form of the gas generation rate equation solved this problem. The second problem concerned the assessment of projectile−barrel interaction. The barrel resistance was estimated making use of finite element analysis. The third problem arose from the need to determine the heat transfer from propellant gases to the barrel. The employed formula for the heat exchange coefficient and 2D modelling of the heat conduction in the barrel provided the solution. Selected elements of the theoretical model were validated by shooting range experiments and data provid... [more]
4758. LAPSE:2023.2827
Eulerian−Lagrangian−Eulerian Simulations of Two-Phase Minimum Quantity Lubrication Flow in Internal Drill Bit Channels
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: drilling process, helical microchannel, minimum quantity lubrication, MQL, multiphase flow
The goal of reducing oil consumption for lubrication of machining processes can be achieved by means of minimum quantity lubrication (MQL). In minimum quantity lubrication, the cutting fluid is a mixture of air and oil where only a small amount of the latter is added to the mixture. However, this reduced oil consumption must not be detrimental to the effectiveness of the machining process. In order to analyze the performance of minimum quantity lubrication, the two-phase fluid dynamics of the MQL dispersion fluid has to be investigated. In the present work, this two-phase flow for internal lubrication of a drilling process was studied by means of numerical modeling and simulation based on an Eulerian−Lagrangian−Eulerian (ELE) model. The Eulerian−Lagrangian−Eulerian model can properly describe the transition between the aerosol and wall liquid film two-phase flow. Attention was focused on the flow in the internal channels of a twist drill. A parametric study was carried out in order to... [more]
4759. LAPSE:2023.2821
Influence Mechanism of Gas−Containing Characteristics of Annulus Submerged Jets on Sealing Degree of Mixing Zone
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: gas–containing characteristics, gas–liquid ratio, numerical simulation, sealing degree, turbulence intensity
The introduction of air into a submerged annular jet will result in dispersion of the jet, which will affect the degree of enclosure of the gas−water mixing zone in the annular jet nozzle, and then have a significant impact on air suction and the formation of the foam system in the floatation process. A numerical simulation method is used to analyze the characteristics of the distribution of the axial flow velocity of annular jets, gas−phase volume, and turbulence intensity in the gas−water mixing zone in the nozzle with different air−liquid ratios, and thereby reveal the mechanism whereby gas−containing in annular jets affects the degree of enclosure of the gas−water mixing zone. The results show that as the air−liquid ratio increases, the degree of air−liquid mixing will increase and the radial flow velocity will decrease gradually, resulting in the effective enclosure of the gas−water mixing zone. Meanwhile, the dissipation of jet energy, the range of turbulent flow and the vorticit... [more]
4760. LAPSE:2023.2816
CFD Modelling of the Fuel Reactor of a Chemical Loping Combustion Plant to Be Used with Biomethane
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: air reactor, biomethane, carbon negative technologies, chemical looping, combustion, Computational Fluid Dynamics, fluidized bed
To realize a carbon negative power production technology, it is interesting the option of coupling a Chemical Loping Combustor to a gas turbine. The development of this technology foreseen in the project GTCLC-NEG has some technical barriers, the most important of which is the operation of the chemical looping combustor at high temperature and high pressure conditions. To overcome these limits CFD modeling can be performed to optimize the behavior of the combustor and its design process. This work models the FUEL reactor of a chemical looping combustion plant working in batch mode and based on the reactor available at the Instituto de Carboquimica in Zaragoza, Spain. It is used an oxygen carrier mainly based on 60% mass Fe2O3 and 40% mass Al2O3. Biomethane is fed to the bottom of the fluidized bed with different velocities and mass flows and the composition of the gases at the outlet of the fuel reactor is measured. The results show that it is possible to model a 2 min duration reducti... [more]
4761. LAPSE:2023.2805
Machine Learning Prediction of Critical Temperature of Organic Refrigerants by Molecular Topology
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: critical temperature, Machine Learning, molecular structure, refrigerants
In this work, molecular structures, combined with machine learning algorithms, were applied to predict the critical temperatures (Tc) of a group of organic refrigerants. Aiming at solving the problem that previous models cannot distinguish isomers, a topological index was introduced. The results indicate that the novel molecular descriptor ‘molecular fingerprint + topological index’ can effectively differentiate isomers. The average absolute average deviation between the predicted and experimental values is 3.99%, which proves a reasonable prediction ability of the present method. In addition, the performance of the proposed model was compared with that of other previously reported methods. The results show that the present model is superior to other approaches with respect to accuracy.
4762. LAPSE:2023.2801
Analysis of the Time Step Influence in the Yearly Simulation of Integrated Seawater Multi-Effect Distillation and Parabolic trough Concentrating Solar Thermal Power Plants
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: CSP+D, Modelling, multi-effect distillation, parabolic trough, simulation tool, time step influence, yearly simulation
The joint demand for power and freshwater is continuously increasing due to population growth, the rise of economic activity, and climate change. Integrated concentrating solar thermal power and desalination (CSP+D) plants may provide a key solution for the pressing freshwater deficit and energy problems in many regions of the world. Simulation tools with an accurate prediction of the yearly electric energy and freshwater production are needed. This paper analyzed the influence of the time step in the annual simulation of a CSP+D plant composed of a seawater multi-effect distillation unit and a parabolic trough concentrating solar thermal power plant, considering the location of Tabernas (Spain). A dynamic simulation tool of this system was developed, implementing the models in Engineering Equation Solver. The annual electricity and water productions obtained for the study case considered were 154 GWh and 3.45 hm3, respectively, using 5 min time steps, and 94 GWh and 2.1 hm3, respectiv... [more]
4763. LAPSE:2023.2793
Study of the Two-Phase Flow and Wear of a Pump with Mixed-Size Particles
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: centrifugal pump, mixed-sized particles, solid–liquid, two-phase efficiency, wear characteristics
This paper used a combination of numerical simulations and experiments to study the hydraulic performance and the wear law of a centrifugal pump when conveying mixed particle sizes. The numerical simulation was based on the Discrete Phase Model (DPM). The model was used to complete the mutual coupling between the solid particles and the flow field as well as the calculation of wall wear. The results show that under the same mass concentration, the head and the efficiency of the centrifugal pump were significantly improved with an increase in the small particle composition. Compared with transporting single-sized large particles, the wear law of the mixed particle size on the flow parts changed greatly. The addition of a certain number of small-sized particles to large-sized particles aggravated the wear of the impeller, but when the small particles occupied a relatively high proportion, the wear area of the impeller was reduced even smaller than that for the transportation of single-si... [more]
4764. LAPSE:2023.2768
Prediction of Heavy Metal Concentrations in Contaminated Sites from Portable X-ray Fluorescence Spectrometer Data Using Machine Learning
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: heavy metals, in situ pXRF, multivariate adaptive regression splines (MARS), rapid field screening, site investigation
Portable X-ray fluorescence (pXRF) spectrometers provide simple, rapid, nondestructive, and cost-effective analysis of the metal contents in soils. The current method for improving pXRF measurement accuracy is soil sample preparation, which inevitably consumes significant amounts of time. To eliminate the influence of sample preparation on PXRF measurements, this study evaluates the performance of pXRF measurements in the prediction of eight heavy metals’ contents through machine learning algorithm linear regression (LR) and multivariate adaptive regression spline (MARS) models. Soil samples were collected from five industrial sites and separated into high-value and low-value datasets with pXRF measurements above or below the background values. The results showed that for Cu and Cr, the MARS models were better than the LR models at prediction (the MARS-R2 values were 0.88 and 0.78; the MARS-RPD values were 2.89 and 2.11). For the pXRF low-value dataset, the multivariate MARS models imp... [more]
4765. LAPSE:2023.2762
Multi-Phase In Silico Discovery of Potential SARS-CoV-2 RNA-Dependent RNA Polymerase Inhibitors among 3009 Clinical and FDA-Approved Related Drugs
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: FDA-approved drugs, MD simulations, molecular docking, molecular fingerprints, SARS-CoV-2 RNA-dependent RNA polymerase, structural similarity
Proceeding our prior studies of SARS-CoV-2, the inhibitory potential against SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) has been investigated for a collection of 3009 clinical and FDA-approved drugs. A multi-phase in silico approach has been employed in this study. Initially, a molecular fingerprint experiment of Remdesivir (RTP), the co-crystallized ligand of the examined protein, revealed the most similar 150 compounds. Among them, 30 compounds were selected after a structure similarity experiment. Subsequently, the most similar 30 compounds were docked against SARS-CoV-2 RNA-dependent RNA polymerase (PDB ID: 7BV2). Aloin 359, Baicalin 456, Cefadroxil 1273, Sophoricoside 1459, Hyperoside 2109, and Vitexin 2286 exhibited the most precise binding modes, as well as the best binding energies. To confirm the obtained results, MD simulations experiments have been conducted for Hyperoside 2109, the natural flavonoid glycoside that exhibited the best docking scores, against RdRp (PDB ID:... [more]
4766. LAPSE:2023.2760
Numerical Study for Determining the Strength Limits of a Powered Longwall Support
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: finite element method (FEM), mining, numerical modeling, power roof supports, safety
The process of designing a longwall powered support is extremely complex and requires many operations related to the creation of a complete machine. The powered support section is one of the basic elements of the longwall system. It acts as protection for the working space and takes part in the process of excavating and transporting the spoil. The implementation of the support that meets the guidelines of the manufacturer and user requires an endurance analysis at the design stage conducted according to the regulations in force. The main objective of this research, pursued by the authors, was to perform the analysis of the ultimate strength of selected elements of the designed powered support section. The research was carried out with the use of special software that uses the finite element method. This article presents the analysis of the strength limits conducted with the help of the finite element method, determining the strength of selected elements of the longwall support section.... [more]
4767. LAPSE:2023.2756
Modeling and Optimization of Heavy Metals Biosorption by Low-Cost Sorbents Using Response Surface Methodology
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: ANOVA, heavy metals, second-degree function, soybean biomass, waste
This paper exploits, through modeling and optimization, the experimental laboratory data on the biosorption of heavy metal ions Pb(II), Cd(II), and Zn(II) from aqueous media using soybean and soybean waste biomasses. The biosorption modeling was performed using the Response Surface Methodology, followed by optimization based on numerical methods. The aim of the modeling was to establish the most probable mathematical relationship between the dependent variables (the biosorption efficiency of the biosorbents when adsorbing metal ions, R(%), and the biosorption capacity of sorbents, q(mg/g)) and the process parameters (pH; sorbent dose, DS (g/L); initial metal ion concentration in solution, c0 (mg/L); contact time, tc (min); temperature, T (°C)), validated by methodologies specific to the multiple regression analysis. Afterward, sets of solutions were obtained through optimization that correlate various values of the process parameters to maximize the objective function. These solutions... [more]
4768. LAPSE:2023.2746
Calibration and Testing of Discrete Element Simulation Parameters for Urea Particles
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: discrete element, friction coefficient, repose angle, test, urea particles
The lack of accurate simulation model parameters in the optimization design process of variable fertilizer application devices has resulted in large errors between simulation and theoretical calculation results, which has restricted the development of variable fertilizer application devices to a certain extent. Additionally, there are few scholars studying urea granules, so many parameters of urea granular fertilizer cannot be directly obtained from the literature. The aim of this study is to calibrate a set of simulation parameters by combining physical and simulation tests. In this study, intrinsic parameters were systematically determined, including the particle size, particle density, elastic modulus, Poisson’s ratio and their static friction coefficients, rolling friction coefficients and restitution coefficients of urea particles. By performing the urea particle stacking test, the static friction coefficient between urea particles was calibrated to 0.27, and the rolling friction... [more]
4769. LAPSE:2023.2742
Behavior of Top-Blown Jet under a New Cyclone Oxygen Lance during BOF Steelmaking Process
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: BOF steel making, cyclone oxygen lance, multiphase flow, numerical simulation, penetration depth
An oxygen lance is the operation unit that generates supersonic oxygen jets, controls their behavior, and acts as a vital role in the steelmaking process. It is thought that airflow similar to a tornado may suppress upward splashing because of part of the jet pressure shifting from the axis of the oxygen lance to the tangential direction. Therefore, a new oxygen lance is designed to form a tornado jet, and the numerical simulation consequences are verified by the physical model. The structure of the new oxygen lance is optimized by numerical simulation results, and the comparison of simulation results before and after optimization is analyzed. On this basis, the effect of the cyclone oxygen lance on the upward splashing behavior, penetrating depth, turbulent kinetic energy, turbulent dissipation rate, and rotation of molten bath is investigated. The conclusions present that, compared with the conventional oxygen lance, the upward splashing with the cyclone oxygen lance decreases, and t... [more]
4770. LAPSE:2023.2729
1-D Modeling of Two Phase Flow Process in Concentric Annular Heat Pipe and Experimental Investigation
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: AMESIM, concentric annular heat pipe, cooling, electronics, heat sink, one-dimensional analysis
As the heat dissipation of smart devices increases, cutting-edge cooling solutions are becoming increasingly important. The heat pipe is an efficient device that boosts heat transfer and is recommended to reduce thermal management power. In this study, a concentric annular heat pipe (CAHP) with distilled water as a working fluid is proposed to enhance heat transfer, and experiments and one-dimensional analysis were carried out to predict thermal characteristics and evaluate performance. The CAHP was 90 mm in length, 62 mm in inner diameter, 70 mm in outer diameter, and 0.4 mm in thickness. At the outer surface of the internal CAHP, a two-layer screen mesh wick (500 mesh, Stainless Steel 304) that is 0.34 mm in layer thickness was installed. A ceramic heater (20 mm × 20 mm) was attached to the middle of the outer surface, and the hollow region with 48 fins was cooled by an electric fan. The experiment was carried out with variations in the heat load, the filling ratio of the working flu... [more]
4771. LAPSE:2023.2720
Numerical Simulation Model for Evaluating Protection Measures of Blast Furnace Hearth
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: blast furnace hearth, furnace protection measures, numerical simulation, porous medium, solidification and melting
The blast furnace (BF) hearth is critical for determining the life of a BF. Irreversibly eroded hearths can be caused by high-temperature molten iron erosion, alkali metal corrosion, and thermal stress. When serious depression erosion occurs in the hearth, furnace protection measures can prevent the erosion from expanding and ensure the safe operation of the BF. At present, furnace protection measures and furnace protection strength are mostly selected based on engineering experience. In this paper, a three-dimensional (3D) computational fluid dynamics (CFD) numerical model of BF hearth with elephant-type depression erosion was established to predict and evaluate the effect of furnace protection measures. At the same time, the phase change behavior of hot iron solidification was also considered. A numerical model was used to analyze common furnace protection measures such as increasing furnace hearth cooling, closing the tuyere, reducing the tapping productivity, and reducing the tappi... [more]
4772. LAPSE:2023.2715
A Spatio-Temporal Deep Learning Network for the Short-Term Energy Consumption Prediction of Multiple Nodes in Manufacturing Systems
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: deep learning network, energy consumption prediction, gated recurrent unit, graph convolutional network, green manufacturing
Short-term energy prediction plays an important role in green manufacturing in the industrial internet environment and has become the basis of energy wastage identification, energy-saving plans and energy-saving control. However, the short-term energy prediction of multiple nodes in manufacturing systems is still a challenging issue owing to the fuzzy material flow (spatial relationship) and the dynamic production rhythm (temporal relationship). To obtain the complex spatial and temporal relationships, a spatio-temporal deep learning network (STDLN) method is presented for the short-term energy consumption prediction of multiple nodes in manufacturing systems. The method combines a graph convolutional network (GCN) and a gated recurrent unit (GRU) and predicts the future energy consumption of multiple nodes based on prior knowledge of material flow and the historical energy consumption time series. The GCN is aimed at capturing spatial relationships, with the material flow represented... [more]
4773. LAPSE:2023.2714
CFD-DEM Study of Bridging Mechanism of Particles in Ceramic Membrane Pores under Surface Filtration Conditions
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: bridge process, ceramic membrane pores, CFD-DEM, surface filtration
In the surface filtration process with pores larger than the particle size, the formation of particle bridges plays a crucial role in the filter cake structure and the filtration efficiency throughout the filtration process. First, to understand the microscopic information required for the bridging mechanism, we use the two-way coupling of computational fluid dynamics (CFD)−discrete element method (DEM) to simulate the deposition characteristics of particles in the pores of ceramic membranes. Next, by dynamically observing the deposition morphology and bridging process of particles, the bridging mechanism was revealed at the level of a single hole. Then, we studied the influence of particle concentration and inlet velocity on the bridge erection process. The results show that the bridging function of particles runs through the clean filtration stage and the transition stage. Particle concentration and inlet flow rate have a crucial influence on the formation of particle bridges and fil... [more]
4774. LAPSE:2023.2703
A Simple and Effective Modeling Method for 3D Porous Irregular Structures
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: CAD, centroidal Voronoi diagram, finite element analysis, porous structure
Porous structures are kinds of structures with excellent physical properties and mechanical characteristics through components and internal structure. However, the irregular internal morphology of porous structures poses new challenges to product modeling techniques. Traditional computer-aided design (CAD) modeling methods can only represent the external geometric and topological information of models, lacking the description of the internal structure and conformation, which limits the development of new porous products. In this paper, a new simple and effective modeling method for 3D irregular porous structures is proposed, which improves the controllability of pore shape and porosity, thus overcoming the limitations of existing methods in 3D and concave structures. The key idea is to solve isothermal for modeling the porosity of porous units. Experimental results show that the method can easily obtain smooth and approximate porous structures from arbitrary irregular 3D surfaces.
4775. LAPSE:2023.2685
Theoretical and Experimental Research on Temperature Rise Mechanism of Oil in the Sealed Cavity of Intra-Vane Type Pump
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: heat emission route, heat source, sealed cavity, temperature rise, vane pump
To improve the performance of the intra-vane type pump and optimize the friction characteristics of the three friction pairs related to the vane cavity, theoretical analysis, numerical simulation, and experimental testing are used to study the mechanism of oil temperature rise in the sealed cavity of the vane pump. First, the heat generation source and heat dissipation routeways of the oil in the oil suction and oil discharge regions are analyzed, respectively. Thermodynamic modeling is conducted based on the principle of heat transfer. Then, the oil temperature rise caused by each heat generation source was simulated using the thermodynamic model. The influence of each heat generation source and heat generation route on the oil temperature rise change was analyzed and compared. Finally, a test system for oil temperature rise is designed, and the temperature changes at six positions of the experimental pump when working at three pressures are measured through experiments. Based on simu... [more]
4776. LAPSE:2023.2673
Numerical Investigation of the Cleaning Flame Jet and Formation of the Molten Pool in the Corner Scarfing Process of the Casting Slab
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: corner cleaning, corner molten pool, numerical simulation, scarfing machine
The corner defects in the casting slab greatly influence the product quality. These defects may extend during the heating and rolling process and even result in the discarding of the rolled plate as scrap. A corner cleaning equipment based on the scarfing machine is proposed to eliminate the defects in slab corners for producing high-quality steel. Unlike the flat surface scarfing process, the flame jet and the shape of the molten pool have an essential impact on the effectiveness of the flame cleaning in the corner of the casting slab. A three-dimensional fully coupled model for the flame cleaning nozzle is developed to simulate the flow pattern of the flame jet, Oxygen concentration distribution, and temperature field in the corner of the slab. The simulated flame jet flow field and temperature results agreed well with the factory trial results. Additionally, a three-dimensional thermal model for simulation of the molten pool formed by flame cleaning in the corner of the casting slab... [more]
4777. LAPSE:2023.2660
Flash Smelting Settler Design Modifications to Reduce Copper Losses Using Numerical Methods
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: baffles, coalescence, Computational Fluid Dynamics, Eulerian-Eulerian approach, population balance model, settling, slag/matte separation
A mathematical modeling approach was used to test different design modifications in a flash smelting settler to reduce the copper losses in slag, which is economically disadvantageous for copper processing using the pyrometallurgical route. The main purpose of this study was to find ways to reduce copper losses in slag by improving the settling and coalescence of copper matte droplets, in particular, the smallest droplet sizes of ≤100 µm. These improvements inside the flash smelting (FS) settler were targeted through different settler design modifications. Three different design schemes were tested using the commercial computational fluid dynamics (CFD) software, Ansys Fluent. These settler design modification schemes included the impact of various baffle types, positioning, the height inside the settler, and settler bottom inclinations. Simulations were carried out with and without coalescence and the results were compared with normal settler design. The results revealed that the sett... [more]
4778. LAPSE:2023.2659
Estimation of Reverse Flow Rate in J-Groove Channel of AJP and SCP Models Using CFD Analysis
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: annular jet pump (AJP), J-Groove (JG), reverse flow rate, screw centrifugal pump (SCP), suction performance
An annular jet pump (AJP) and a screw centrifugal pump (SCP) are special-purpose pumps used for transportation. The flow fields in the AJP and SCP are like those in a diffuser without and with an impeller, respectively. The flow from diffuser inlet to outlet takes place via the conversion of kinetic energy to static pressure. J-Groove is installed in the diffuser wall of an AJP and SCP to induce reverse flow from the diffuser outlet to the inlet, which suppresses the cavitation. CFD analysis was carried out to verify the conceptual design and understand the internal flow field of an AJP and SCP with J-Groove. The CFD analysis showed that the J-Groove installation in the AJP and SCP improved suction performance. The reverse flow in the J-Groove is due to the pressure difference between the diffuser outlet and the inlet. The numerical analysis results showed that the reverse flow mechanism is dependent on the flow conditions, cavitation number, and presence of the impeller. In a higher f... [more]
4779. LAPSE:2023.2653
Di- and Mono-Rhamnolipids Produced by the Pseudomonas putida PP021 Isolate Significantly Enhance the Degree of Recovery of Heavy Oil from the Romashkino Oil Field (Tatarstan, Russia)
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: biosurfactant, core flooding simulation of oil recovery, enhanced oil recovery, mono- and di-rhamnolipids, sand-packed column simulation of oil recovery
Around the globe, only 30−50% of the amount of oil estimated to be in reservoirs (“original oil in place”) can be obtained using primary and secondary oil recovery methods. Enhanced oil recovery methods are required in the oil processing industry, and the use of microbially produced amphiphilic molecules (biosurfactants) is considered a promising efficient and environmentally friendly method. In the present study, biosurfactants produced by the Pseudomonas putida PP021 isolate were extracted and characterized, and their potential to enhance oil recovery was demonstrated. It was found that the cell-free biosurfactant-containing supernatant decreased the air−water interface tension from 74 to 28 mN m−1. Using TLC and FTIR methods, the biosurfactants produced by the isolate were classified as mono- and di-rhamnolipid mixtures. In the isolates’ genome, the genes rhlB and rhlC, encoding enzymes involved in the synthesis of mono- and di-rhamnolipids, respectively, were revealed. Both genes w... [more]
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