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Records with Subject: Modelling and Simulations
Showing records 975 to 999 of 5729. [First] Page: 1 36 37 38 39 40 41 42 43 44 Last
Alternative Current Injection Newton and Fast Decoupled Power Flow
Cristina Coutinho de Oliveira, Alfredo Bonini Neto, Dilson Amancio Alves, Carlos Roberto Minussi, Carlos Alberto Castro.
April 18, 2023 (v1)
Keywords: current injection power flow, polar coordinates, power flow analysis, PV representation.
This article presents an alternative Newton-Raphson power flow method version. This method has been developed based on current injection equations formulated in polar coordinates. Likewise, the fast decoupled power flow, elaborated using current injection (BX version), is presented. These methods are tested considering electrical power systems composed of 57-, 118-, and 300-bus, as well as a realistic system of 787-bus. For the robustness analysis, simulations were performed considering different loading conditions and R/X ratios of the transmission line. Based on the simulations that were realized, there is evidence that the performance of the proposed current injection methods is similar to the power injection methods.
Microscopic Visualization Experimental Study on the Effect and Mechanism of Viscosity Reducer on Emulsification of Heavy Oil
Youwei Jiang, Chao Wang, Fusheng Zhang, Zongyao Qi, Guoliang Liu, Jiu Zhao, You Zhou, Bojun Wang, Guofeng Lian, Pengcheng Liu.
April 18, 2023 (v1)
Keywords: emulsion stability, heavy oil reservoir, numerical simulation, shut off capacity, W/O emulsion.
Viscosity-reducer flooding is an effective method to improve oil recovery after the water flooding of heavy oil, and water-in-oil emulsion (W/O emulsion) is easily formed during this process. W/O emulsion has a strong ability to improve mobility ratio and block off high permeability layers, which can effectively improve sweep coefficient and enhance oil recovery. The microscopic visual glass model is mainly used to study the microscopic oil displacement mechanism of dilute oil; however, there are few studies on the emulsification mechanism and influencing factors of heavy oil. The purpose of this paper is to study the mechanism of heavy oil emulsification caused by viscosity reducer at the microscopic level, and the effect of emulsification on heavy oil recovery. The visible physical experiments with the glass microscopic models with different permeability and pore sizes were carried out to study the mechanism and main controlling factors of emulsification and the oil displacement effe... [more]
Estimating Sustainable Long-Term Fluid Disposal Rates in the Alberta Basin
Mahendra Samaroo, Rick Chalaturnyk, Maurice Dusseault.
April 18, 2023 (v1)
Keywords: Alberta Basin, CO2 sequestration, coupled 3D modeling, fracturing, induced seismicity, injectivity, mechanical earth models, subsurface risk.
Reliable regional-scale permeability data and minimum sustained injectivity rate estimates are key parameters required to mitigate economic risk in the site selection, design, and development of commercial-scale carbon sequestration projects, but are seldom available. We used extensive publicly available disposal well data from over 4000 disposal wells to assess and history-match regional permeability estimates and provide the frequency distribution for disposal well injection rates in each of 66 disposal formations in the Alberta Basin. We then used core data and laboratory analyses from over 3000 cores to construct 3D geological, geomechanical and petrophysical models for 22 of these disposal formations. We subsequently used these models and the history-matched regional permeability estimates to conduct coupled geomechanical and reservoir simulation modeling (using the ResFrac™, Palo Alto, CA, USA, numerical simulator) to assess: (i) well performance in each formation when injecting... [more]
Overpressure Generation and Evolution in Deep Longmaxi Formation Shale Reservoir in Southern Sichuan Basin: Influences on Pore Development
Jia Yin, Lin Wei, Shasha Sun, Zhensheng Shi, Dazhong Dong, Zhiye Gao.
April 18, 2023 (v1)
Keywords: generation mechanism, Longmaxi Formation shale, numerical simulation, overpressure evolution.
Strong overpressure conditions are widely distributed in the deep Longmaxi Formation (Fm) shale reservoirs in the Southern Sichuan Basin, with pressure coefficients ranging from 1.75 to 2.45. Overpressure plays a positive role in the high yield of shale gas, but a detailed study of its generation mechanism, evolution history, and potential impact on pore development is still lacking. This study’s evidence from theoretical analysis and the logging response method indicates that hydrocarbon generation expansion is the main generation mechanism for strong overpressure. Through the combined analysis of basin modeling, inclusions analysis, and numerical simulation, pressure evolution at different stages is quantitatively characterized. The results show that, during the shale’s long-term subsidence process, the shale reservoir’s pressure coefficient increased to 1.40 because of oil generated by kerogen pyrolysis. Then it increased to 1.92 due to gas generated by residual oil cracking. During... [more]
Supporting Information Quality Management in Information and Communications Technology Systems with Uncertainty Modelling
Marek Stawowy, Stanisław Duer, Krzysztof Perlicki, Tomasz Mrozek, Marta Harničárová.
April 18, 2023 (v1)
Keywords: information quality, information quality assessment, information quality management, traffic light power system, uncertainty modelling.
Information quality management (IQM) is crucial in critical Information and Communications Technology (ICT) systems since our lives and health often depend on the quality of information that the systems provide. Especially in the field of transport, we can speak about critical systems. Worldwide, a small number of scientists take on these problems. This is because information quality (IQ) measurement is a very complex process, and IQM is impossible without IQ measurement. In the article, the authors used a method for IQ measurement created by one of them. This method for IQ measurement makes it possible to create IQM and IQ assessment (IQA). This article proposes a method for IQA that makes IQM possible. The authors demonstrated the possibility of searching for IQ modelling imperfections and offered a computation example for a road traffic light power system. In the final section authors present simulation results for two models. The results of this research can be used to optimise inf... [more]
Simulation of Series Resistance Increase through Solder Layer Cracking in Si Solar Cells under Thermal Cycling
Changwoon Han.
April 18, 2023 (v1)
Keywords: FE simulation, series resistance, Si solar cell, solder layer cracking, thermal cycling.
In solar cell modules, thermal cycling stresses can cause cracking in the ribbon wire, leading to an increase in series resistance and a drop in the power output of the module. Quantitative analysis was conducted to study the increase in series resistance, considering two cracking models: continuous and random. In the continuous model, it was expected that if all the ribbon wires on the front side of the module cracked, the current would decrease linearly from 0 to 100%, and the series resistance would increase exponentially to infinity. In the random crack model, the current dropped slowly, and the series resistance increased less compared with that in the continuous one. A mathematical model based on the bypass mechanism of the currents was proposed to explain the differences between the two models. The study found that cracking in the solder layer under thermal cycling can be described by a combination of continuous and random models, which can represent the upper and lower levels o... [more]
Modeling and Simulation of Crude Oil Sea−River Transshipment System in China’s Yangtze River Basin
Yan Yang, Qiang Zhou.
April 18, 2023 (v1)
Keywords: crude oil sea–river transshipment, discrete event system modeling, entity–relationship diagram, witness simulation software, Yangtze River Basin.
China’s Yangtze River Basin has an increasingly strong demand for crude oil. As a seaborne import port for crude oil, Ningbo-Zhoushan Port is under pressure to undertake the transshipment of crude oil to various oil terminals in the Yangtze River Basin. To alleviate the stress of crude oil transportation in Ningbo-Zhoushan Port, the port operator proposed the crude oil sea−river transshipment scheme in Nantong Port. Therefore, this paper aims to verify the feasibility of this scheme. We used the discrete event system modeling and entity relationship diagram method to construct the hierarchical and concept models of the Yangtze River Basin’s crude oil sea−river transportation system. Furthermore, we developed corresponding simulation modules on the Witness platform and carried out a simulation experiment of the crude oil sea−river transfer scheme. In the experiment, we analyzed the influence of the transshipment ratio on berth utilization, waiting time, and sailing time of other ports b... [more]
CFD-Based Prediction of Combustion Dynamics and Nonlinear Flame Transfer Functions for a Swirl-Stabilized High-Pressure Combustor
Mehmet Kapucu, Jim B. W. Kok.
April 18, 2023 (v1)
Keywords: combustion, instability, network, nonlinear, thermoacoustics, turbulence.
Thermoacoustic instabilities in gasturbine combustor systems can be predicted in the design phase with a thermoacoustic network model. In this model, the coupling between acoustic pressure fluctuations and the combustion rate is described by the Flame Transfer Function. The present paper introduces a new, efficient, and robust method for deriving the FTF from CFD predictions by means of a discrete multi-frequency sinusoidal fuel flow excitation method. The CFD-based FTF result compares well with experimental data for the time delay, but for the gain, only up to 400 Hz. Above 400 Hz, the CFD result reveals a smooth low-amplitude gain, which is not found in the measured data. A novel, accurate continuous correlation function for the FTF gain is computed based on the results for discrete frequencies. When this is implemented into a 1D acoustic network model, the stability map shows, below 600 Hz, two eigenfrequencies, by both the experiment and CFD-based FTF, that are identical. The CFD-b... [more]
Coupled Electromagnetic−Thermal Modelling of Dynamic Performance for Modular SPM Machines
Wei Zhang, Guang-Jin Li, Zi-Qiang Zhu, Bo Ren, Yew Chuan Chong.
April 18, 2023 (v1)
Keywords: coupled electromagnetic–thermal modelling, demagnetization, flux gaps, irreversible demagnetization, modular SPM machine.
This paper presents coupled electromagnetic (EM)−thermal modelling of the steady-state dynamic performances, such as torque speed curve and the efficiency map, for surface-mounted permanent magnet machines. One important feature of such a model is that it considers the demagnetization caused by magnet temperature rise at different rotor speeds. EM-only simulations, which often assume that the machines operate under constant temperature, have been widely used in the literature. However, the interaction between EM and thermal performances could lead to very different dynamic performance prediction. This is because the material properties, e.g., magnet remanence, coercivity, and copper resistivity are temperature-dependent. The temperature rise within electrical machines reduces torque/power density, PM eddy current losses, and iron losses but increases copper loss. Therefore, the coupled EM−thermal modelling is essential to determine accurate temperature variation and to obtain accurate... [more]
A Novel Remaining Useful Estimation Model to Assist Asset Renewal Decisions Applied to the Brazilian Electric Sector
Hemir da Cunha Santiago, José Carlos da Silva Cavalcanti, Ricardo Bastos Cavalcante Prudêncio, Mohamed A. Mohamed, Leonie Asfora Sarubbo, Attilio Converti, Manoel Henrique da Nóbrega Marinho.
April 18, 2023 (v1)
Keywords: asset maintenance, asset remaining useful life, data analytics, Machine Learning, models.
Assets deteriorate over time, as well as being covered, corroded, or becoming old in less obvious ways. Maintenance can extend the remaining useful life (RUL) of an asset system, but sooner or later it must surely be replaced. In this study, we propose a new RUL estimation methodology to assist in decision making for the maintenance and replacement of assets from prioritizing equipment in a renovation plan. Our methodology uses advanced data analysis techniques that consider multiple competing criteria with the goal of maximizing values of the asset throughout its life cycle, while considering the rules of remuneration and service quality of the current regulation, as well as the values at risk according to the decisions and actions taken. Experimental results with real datasets show the efficiency of the proposed approach. Finally, this work also presents the development of an analytical tool to optimize asset renewal decisions applying the RUL estimation methodology proposed and its... [more]
Analysis of DC/DC Boost Converter−Full-Bridge Buck Inverter System for AC Generation
Víctor Hugo García-Rodríguez, José Humberto Pérez-Cruz, Roberto Carlos Ambrosio-Lázaro, Salvador Tavera-Mosqueda.
April 18, 2023 (v1)
Keywords: DC/DC boost converter, differential flatness, Energy, full-bridge Buck inverter, simulations.
This paper presents an analysis and simulation of the mathematical model associated to the DC/DC Boost converter−full-bridge Buck inverter system to regulate the voltage output of the DC/DC Boost converter allowing bipolar voltages higher than the input voltage via the full-bridge Buck inverter. To validate the model, the differential flatness property is applied via the flat outputs of the system (energy for the DC/DC Boost converter and the voltage of the full-bridge Buck inverter) considering the complete dynamics, in conjunction with fixed and time-variant trajectory planning. In the simulation results, it is observed that the error signals of the states versus the reference trajectories are acceptable. Regarding the validation of the model, this is performed with open-loop simulations at the circuit level using the SimPowerSystems Toolbox of Matlab-Simulink. The simulation results validate the good performance of the system under study. In this way, the main contribution of this w... [more]
Application of the Calcium Looping Process for Thermochemical Storage of Variable Energy
Kelly Atkinson, Robin Hughes, Arturo Macchi.
April 17, 2023 (v1)
Keywords: calcium looping, CO2 storage, Energy Storage, supercritical CO2.
The calcium looping (CaL) process, which exploits the reversible calcination of calcium carbonate, has been proposed as a solution to the challenges facing deployment of concentrated solar power (CSP). As an extension of the work undertaken to date, this project proposes a novel configuration of the CSP-CaL process which may offer advantages over other proposed configurations, including a reduction in process equipment requirements, elimination of pressure differentials between vessels, and a reduction in compression duty during the energy discharge period. The results obtained through process simulation indicate that the proposed process can achieve round-trip efficiencies in the range of 32−46% and energy storage densities in the range of 0.3−1.0 GJ/m3. These parameters are strongly dependent on the residual conversion of the CaO sorbent as well as the efficiency of the power cycles used to remove heat on the carbonator side of the process.
Online Lifetime Prediction for Lithium-Ion Batteries with Cycle-by-Cycle Updates, Variance Reduction, and Model Ensembling
Calum Strange, Rasheed Ibraheem, Gonçalo dos Reis.
April 17, 2023 (v1)
Keywords: cloud computing, ensemble models, Machine Learning, prediction of full degradation curve, remaining-useful-life.
Lithium-ion batteries have found applications in many parts of our daily lives. Predicting their remaining useful life (RUL) is thus essential for management and prognostics. Most approaches look at early life prediction of RUL in the context of designing charging profiles or optimising cell design. While critical, said approaches are not directly applicable to the regular testing of cells used in applications. This article focuses on a class of models called ‘one-cycle’ models which are suitable for this task and characterized by versatility (in terms of online prediction frameworks and model combinations), prediction from limited input, and cells’ history independence. Our contribution is fourfold. First, we show the wider deployability of the so-called one-cycle model for a different type of battery data, thus confirming its wider scope of use. Second, reflecting on how prediction models can be leveraged within battery management cloud solutions, we propose a universal Exponential-s... [more]
Abnormality Detection Method for Wind Turbine Bearings Based on CNN-LSTM
Fanghong Zhang, Yuze Zhu, Chuanjiang Zhang, Peng Yu, Qingan Li.
April 17, 2023 (v1)
Keywords: bearing, deep learning, failure early warning, wind turbine.
Wind turbine energy generators operate in a variety of environments and often under harsh operational conditions, which can result in the mechanical failure of wind turbines. In order to ensure the efficient operation of wind turbines, the detection of any abnormality in the mechanics is particularly important. In this paper, a method for detecting abnormalities in the bearings of wind turbine energy generators, based on the cascade deep learning model, is proposed. First, data on the mechanics of wind turbine generators were collected, and the correlation between the data was studied in order to select the parameters related to the bearing temperature. Then, the logical relationship between the observation parameters and the target parameters was established based on a one-dimensional convolutional neural network (CNN) and a long short-term memory (LSTM) network, and the difference between the predicted temperature and the actual temperature was assessed using the root mean square err... [more]
P-Y Curve Correction of Shallow Seabed Formation Containing Hydrate
Haoyu Diao, Honghai Fan, Rongyi Ji, Bangchen Wu, Yuguang Ye, Yuhan Liu, Fei Zhou, Yixiang Yang, Zhi Yan.
April 17, 2023 (v1)
Keywords: mechanical property, methane hydrate, numerical simulation, p-y curve, triaxial shear test.
With the continuous growth in global energy demand, the exploration and development of hydrates has been the focus of increasing attention, and the accurate evaluation of the mechanical properties of hydrate layers has become particularly important. In this study, using a self-developed hydrate sample preparation device and hydrate triaxial seepage test platform, triaxial shear tests were carried out using the in situ synthesis method for hydrate sediment in the laboratory, and the stress−strain curves of hydrate sediment with different levels of saturation were obtained. By analyzing the stress−strain curve, the mechanical parameters of hydrate sediment were calculated and simulated using ABAQUS (2021, Dassault systemes, Vélizy Villacoublay France) finite element software. Several p-y curves were calculated and compared with the simulation results, and the p-y curve correction method of the hydrate layer in a shallow seabed was obtained. It was found that the strength of the hydrate s... [more]
Thermoacoustic Combustion Stability Analysis of a Bluff Body-Stabilized Burner Fueled by Methane−Air and Hydrogen−Air Mixtures
Vito Ceglie, Michele Stefanizzi, Tommaso Capurso, Francesco Fornarelli, Sergio M. Camporeale.
April 17, 2023 (v1)
Keywords: combustion, Computational Fluid Dynamics, Flame Response Function, Helmholtz solver, Hydrogen, thermoacoustic.
Hydrogen can play a key role in the gradual transition towards a full decarbonization of the combustion sector, e.g., in power generation. Despite the advantages related to the use of this carbon-free fuel, there are still several challenging technical issues that must be addressed such as the thermoacoustic instability triggered by hydrogen. Given that burners are usually designed to work with methane or other fossil fuels, it is important to investigate their thermoacoustic behavior when fueled by hydrogen. In this framework, the present work aims to propose a methodology which combines Computational Fluid Dynamics CFD (3D Reynolds-Averaged Navier-Stokes (RANS)) and Finite Element Method (FEM) approaches in order to investigate the fluid dynamic and the thermoacoustic behavior introduced by hydrogen in a burner (a lab-scale bluff body stabilized burner) designed to work with methane. The case of CH4-air mixture was used for the validation against experimental results and benchmark CF... [more]
Optimal Design of Double Stage Internal Loop Air-Lift Bioreactor
Fernando Ramonet, Bahram Haddadi, Michael Harasek.
April 17, 2023 (v1)
Keywords: air lift bioreactor, Computational fluid dynamics (CFD), hydrodynamics, OpenFOAM®, reactor design.
Biorefinery systems play a critical role in the transition towards a sustainable bioeconomy, and bioreactors are a key component in these systems. While mechanically stirred reactors have been extensively studied, there is a lack of research on pneumatically driven systems like air-lift reactors (ALRs). This study aims to address this gap by examining the hydrodynamic behavior of a double draft tube airlift bioreactor using Computational fluid dynamics simulations. Ten different geometric configurations were investigated, with variations in draft tube placement, liquid height, distance between draft tubes and draft tube diameters. Results showed that the placement of the draft tubes heavily influenced hydrodynamic behavior, with smaller distances between draft tubes and a funnel configuration leading to higher velocities. Stable downcomer velocities were achieved by maintaining a consistent distance between the bottom clearance and the sum of the distance between draft tubes and the bo... [more]
Determination of Critical Point of Particle Migration Direction in a Confined Shear Flow of Giesekus Fluids
Zhenna Li, Bingrui Liu, Jianzhong Lin.
April 17, 2023 (v1)
Keywords: critical point, Giesekus fluid, migration direction, numerical simulation, shear flow, spherical particle.
Migration of a particle in a confined shear flow of Giesekus fluids is investigated numerically with the method of direct forcing/fictitious domain. We focus on the migration direction for the particle with initial lateral position y0 and determination of critical point yc of a particle moving towards the center line or wall. The effect of viscosity ratio μr, shear-thinning parameter α, Weissenberg number Wi, and blocking rate β on the value yc is analyzed. The results showed that when μr ≤ 0.5, the particle will migrate towards the wall regardless of the value of y0. When μr > 0.5, yc increases with increasing μr, and some particles will migrate towards the center line with the increase in μr. The particle is more likely to migrate towards the center line at small values of Wi and α but at large values of μr. The impact of Wi and β on the particle migration direction is more obvious. The particle will migrate towards the wall for β = 0.3 and is more likely to migrate towards the wall... [more]
Analysis of the Thermo-Aeraulic Behavior of a Heated Supply Air Window in Forced Convection: Numerical and Experimental Approaches
Salem Zeiny, Yassine Cherif, Stephane Lassue.
April 17, 2023 (v1)
Keywords: a building’s active heating device, Computational Fluid Dynamics, experimentation, heated ventilated window, supply-air system.
This paper presents work intended to characterize air flow and convective heat transfers within a ventilated window. This window is a device that allows for the entry of fresh air into a building while simultaneously preheating it in order to satisfy requirements in terms of air quality and thermal comfort in inhabited spaces. Therefore, this essential component of the building envelope functions herein as a heat exchanger with its own geometric characteristics and exchange conditions. In this research, a dual numerical and experimental approach has been implemented in order to highlight the temperatures, velocities and heat flux fields both at the glazing surfaces and in the ventilated air gaps. Several turbulence models were tested using CFD software (ANSYS-FLUENT®); their results were compared with each other as well as with the experimental results. This study shows that the air gap geometry in the window induces flow disturbances, recirculation phenomena and non-uniform heat excha... [more]
Optimization of the Thermal Environment of Large-Scale Open Space with Subzone-Based Temperature Setting Using BEM and CFD Coupling Simulation
Qihang Zhang, Qinli Deng, Xiaofang Shan, Xin Kang, Zhigang Ren.
April 17, 2023 (v1)
Keywords: building energy modeling, CFD simulations, mass exchange rates, temperature field.
A cruise ship, which has large-scale open spaces, has an uneven cabin thermal environment in the cruise public space, leading to overcooling or poor cooling issues. Therefore, optimizing the thermal environment of public spaces during a cruise should be the priority. According to the space functions of the cruise ship, the large public space is divided into three subzones: the entertainment area (Subzone I), the round-table dining area (Subzone II), and the square-table dining area (Subzone III). To create a uniform, stable, and comfortable thermal environment, this study proposes a subzone-based temperature setting approach to independently adjust the thermal environment of each subzone. Coupling simulation of building energy modeling (BEM) and computational fluid dynamics (CFD) was adopted in this study to determine proper temperature setpoints of the subzones under different occupancy rates. The results indicate that, compared with a single-temperature setpoint for the entire public... [more]
Experimental Research on Integrated Disassembly Equipment of Super Large Offshore Oilfield Facilities
Changjiang Li, Wensheng Xiao, Junguo Cui, Quan Li, Lianghuan Fan, Liping Tan.
April 17, 2023 (v1)
Keywords: co-simulation system, experimental platform, heave compensation, integrated dismantling, lifting arm system, mathematical model.
Based on the key module-lifting arm system, based on the principle of similarity and the hydrodynamic experimental method of a multi-dimension vibration test platform, an experimental platform for dismantling equipment is designed and built. Subsequently, the motion control model of the six-degrees-of-freedom platform is established. The three-ring control model of a servo electric cylinder is established, and the active heave compensation control of a servo electric cylinder is realized by combining position control theory. Based on the co-simulation of ADAMS and Simulink, the co-simulation system of the integrated dismantling equipment experimental platform is designed and built, and the simulation system is tested and verified. Finally, simulation and experimental verification are carried out based on the experimental platform and co-simulation system. The results show that the heave compensation rate reaches 58.3% in third-class sea conditions, 61.2% in fourth-class sea conditions,... [more]
Double Dual High Step-Up Power Converter with Reduced Stored Energy
Hector R. Robles-Campos, Antonio Valderrabano-Gonzalez, Julio C. Rosas-Caro, Hossam A. Gabbar, Bhanu Babaiahgari.
April 17, 2023 (v1)
Keywords: boost converter, DC-DC power converter, high step-up power converter.
This paper introduces a dual-switchhigh step-up DC-DC power converter. The proposed converter features a high step-up voltage gain, relatively low cumulative stored energy over its inductors, low voltage stress on the active switches, and high efficiency, even at a relatively high duty ratio. An assessment of the proposed converter against conventional boost and a high step-up power converter is presented in terms of steady-state time, voltage gain, stored energy over its inductors, and efficiency. The assessment shows a reduction of 81.25% and 62.5% of stored energy in inductors to comply with the same operational conditions. Simulation and experimental results are provided to validate the benefits of the proposed dual-switch high step-up power converter.
Effects of Liquid Density on the Gas-Liquid Interaction of the Ionic Liquid Compressor for Hydrogen Storage
Yi Guo, Qi Wang, Maofei Geng, Xueyuan Peng, Jianmei Feng.
April 17, 2023 (v1)
Keywords: CFD simulation, density influence, gas-liquid interaction, hydrogen energy, ionic liquid compressor.
As a new and promising compression technology for hydrogen gas, the ionic liquid compressor inherits the advantages of the ionic liquid and the hydraulic system. The liquid density is one of the key parameters influencing the fluid flow field, the sloshing of the bulk liquid, and the movement of droplets generated during the compressor operation. An appropriate selection of the liquid density is important for the compressor design, which would improve the thermodynamic performance of the compressor. However, the density of the ionic liquid varied significantly depending on the specific combination of the cation and anions. This paper proposed the methodology to select the optimal liquid density used in the ionic liquid compressor for hydrogen storage. The gas-liquid interaction in the compression chamber is analysed through numerical simulations under varied liquid density values. Results found that the increase in the liquid density promoted the detachment of the ionic liquid from the... [more]
Comparison of Standalone and Hybrid Machine Learning Models for Prediction of Critical Heat Flux in Vertical Tubes
Rehan Zubair Khalid, Atta Ullah, Asifullah Khan, Afrasyab Khan, Mansoor Hameed Inayat.
April 17, 2023 (v1)
Keywords: critical heat flux, flow boiling, lookup table, Machine Learning, multiphase flows.
Critical heat flux (CHF) is an essential parameter that plays a significant role in ensuring the safety and economic efficiency of nuclear power facilities. It imposes design and operational restrictions on nuclear power plants due to safety concerns. Therefore, accurate prediction of CHF using a hybrid framework can assist researchers in optimizing system performance, mitigating risk of equipment failure, and enhancing safety measures. Despite the existence of numerous prediction methods, there remains a lack of agreement regarding the underlying mechanism that gives rise to CHF. Hence, developing a precise and reliable CHF model is a crucial and challenging task. In this study, we proposed a hybrid model based on an artificial neural network (ANN) to improve the prediction accuracy of CHF. Our model leverages the available knowledge from a lookup table (LUT) and then employs ANN to further reduce the gap between actual and predicted outcomes. To develop and assess the accuracy of our... [more]
Study on Surface Configurations and Force Transfer Mechanism of Dual-Wedge Shaped Slips for Liner Hanger
Feng Han, Hua Han, Pengrui Zhong, Yong Zou, Jiqiang Huang, Long Xue.
April 17, 2023 (v1)
Keywords: force transfer mechanism, liner hanger, numerical modeling, strain test, surface configurations.
The penetration force and depth of the slip teeth are important factors influencing the hanging capacity of liner hanger, which can lead to failure of well cementation. In this study, a method to calculate the penetration force of dual-wedge slip teeth was presented by considering the surface configuration and the force transfer mechanism of dual-wedge slip in three dimensions. The interaction between dual-wedge slips and casing was simulated using ABAQUS 6.14 software, and the contact force (penetration force) was obtained. Experimental research was carried out to verify the correction of calculation and simulation. The strain of casing was obtained after the dual-wedge slips set under axial loads. The experimental results, theoretical prediction, and the numerical simulation are in good agreement. The effects of geometrical parameters on force transfer characteristics were discussed, which shows that the penetration force of dual-wedge slips increases with increase in the liner weigh... [more]
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