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Статті в журналах з теми "Fluid Dynamic Modeling"

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Автор: Grafiati

Опубліковано: 14 березня 2023

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1

Tao, Jin, Qinglin Sun, Wei Liang, Zengqiang Chen, Yingping He, and Matthias Dehmer. "Computational fluid dynamics based dynamic modeling of parafoil system." Applied Mathematical Modelling 54 (February 2018): 136–50. http://dx.doi.org/10.1016/j.apm.2017.09.008.

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2

Domanskii, A. V., and V. V. Ershov. "Fluid-dynamic modeling of mud volcanism." Russian Geology and Geophysics 52, no. 3 (March 2011): 368–76. http://dx.doi.org/10.1016/j.rgg.2011.02.009.

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3

Charles, Dawari David, and Xiaopeng Xie. "New concepts in dynamic fluid-loss modeling of fracturing fluids." Journal of Petroleum Science and Engineering 17, no. 1-2 (February 1997): 29–40. http://dx.doi.org/10.1016/s0920-4105(96)00054-x.

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4

Martirosyan, Karen S., Maxim Zyskin, Charles M. Jenkins, and Yasuyuki (Yuki) Horie. "Fluid dynamic modeling of nano-thermite reactions." Journal of Applied Physics 115, no. 10 (March 14, 2014): 104903. http://dx.doi.org/10.1063/1.4867936.

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5

Cohen, Andrew J., Nima Baradaran, Jorge Mena, Daniel Krsmanovich, and Benjamin N. Breyer. "Computational Fluid Dynamic Modeling of Urethral Strictures." Journal of Urology 202, no. 2 (August 2019): 347–53. http://dx.doi.org/10.1097/ju.0000000000000187.

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6

TRANCOSSI, Michele, and Jose PASCOA. "Modeling Fluid dynamics and Aerodynamics by Second Law and Bejan Number (Part 1 - Theory)." INCAS BULLETIN 11, no. 3 (September 9, 2019): 169–80. http://dx.doi.org/10.13111/2066-8201.2019.11.3.15.

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Анотація:

Two fundamental questions are still open about the complex relation between fluid dynamics and thermodynamics. Is it possible (and convenient) to describe fluid dynamic in terms of second law based thermodynamic equations? Is it possible to solve and manage fluid dynamics problems by mean of second law of thermodynamics? This chapter analyses the problem of the relationships between the laws of fluid dynamics and thermodynamics in both first and second law of thermodynamics in the light of constructal law. In particular, taking into account constructal law and the diffusive formulation of Bejan number, it defines a preliminary step through an extensive thermodynamic vision of fluid dynamic phenomena.

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7

Pei, Pei, Yongbo Peng, and Canxing Qiu. "Magnetorheological damper modeling based on a refined constitutive model for MR fluids." Journal of Intelligent Material Systems and Structures 33, no. 10 (October 26, 2021): 1271–91. http://dx.doi.org/10.1177/1045389x211048231.

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A systematic modeling study is conducted to predict the dynamic response of magnetorheological (MR) damper based on a refined constitutive model for MR fluids. A particle-level simulation method is first employed to probe the microstructured behavior and rheological properties of MR fluids, based on which the refined constitutive model is developed. The constitutive model is further validated by comparing the predicted results with the data obtained from microscopic simulations and existing experiments. It is revealed that the proposed constitutive model has comparable accuracy and good applicability in representing MR fluids. Subsequently, a computational fluid dynamics (CFD) model is established to explore MR damper’s behavior by using the proposed constitutive model to describe the fluid rheology. For better capturing the dynamic hysteretic behavior of MR damper, a modified parametric model is developed by combing the Bingham plastic model and the proposed constitutive model. The modified model for MR damper shows its validity and superiority over the existing Bingham plastic models.

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8

Khabibullin, R. A. "Local density dynamics in a supercritical Lennard-Jones fluid." Journal of Physics: Conference Series 2270, no. 1 (May 1, 2022): 012037. http://dx.doi.org/10.1088/1742-6596/2270/1/012037.

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Abstract The collective particle dynamics of supercritical Lennard-Jones fluid is investigated on the basis of molecular dynamic modeling data. The intermediate scattering functions and dynamic structure factor spectra for the wavenumber range k ∈ [0.18; 3.26] σ−1 were calculated. The characteristics of dynamic structure factor spectra such as the thermal diffusivity and the sound velocity were estimated.

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9

Thomas, Justin, Thomas M. Holsen, and Suresh Dhaniyala. "Computational fluid dynamic modeling of two passive samplers." Environmental Pollution 144, no. 2 (November 2006): 384–92. http://dx.doi.org/10.1016/j.envpol.2005.12.042.

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10

Suh, Sang-Ho, Hyoug-Ho Kim, Young Ho Choi, and Jeong Sang Lee. "Computational fluid dynamic modeling of femoral artery pseudoaneurysm." Journal of Mechanical Science and Technology 26, no. 12 (December 2012): 3865–72. http://dx.doi.org/10.1007/s12206-012-1012-4.

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11

Gong, Yanbin, Mohammad Sedghi, and Mohammad Piri. "Dynamic pore-scale modeling of residual fluid configurations in disordered porous media." E3S Web of Conferences 366 (2023): 01018. http://dx.doi.org/10.1051/e3sconf/202336601018.

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Fluid trapping in porous media is important in many subsurface flow processes such as enhanced oil recovery and geological sequestration of carbon dioxide. To achieve optimal performance in such applications, a fundamental understanding of residual trapping mechanisms at the pore scale is necessary. In this work, we present a computational study of fluid trapping behaviors in natural porous media under different flow regimes by employing a dynamic pore-network modeling approach. The model incorporates many advanced features that have not been collectively used in previous dynamic platforms. For instance, it rigorously solves for fluid pressure fields from two-phase mass balance equations in each pore element, incorporates a detailed description of pore-scale fluid displacement dynamics of piston-like advance, snap-off, and pore-body filling, and explicitly accounts for flow through wetting layers forming in corners and rough surfaces of pore spaces. Moreover, we extend the ability of our model by including contact angle hysteresis, which is often neglected in existing dynamic models. A heavily-parallelized implementation of this platform is further advanced to achieve an efficient computational performance. We first conduct primary drainage and imbibition simulations in pore networks representing Bentheimer and Berea sandstones. We show that the predicted two-phase relative permeability curves agree well with their experimental counterparts reported in the literature. Afterwards, the validated model is used to systematically probe fluid trapping behaviors in a core-sized pore network that is constructed from high-resolution micro-computed tomography images of a Berea sandstone core sample. The effects of dynamic flow conditions and fluid properties on core-scale two-phase displacement pattern, residual-fluid configuration, and residual oil saturations are examined in detail. Fluid trapping properties such as maximum and average residual-fluid cluster size and capillary-controlled invasion selectivity at the pore scale are analyzed under both capillaryand viscous-dominated flow regimes.

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12

FETISOV, A. S., and A. V. KORNAEV. "JOURNAL BEARING WITH VARIABLE DYNAMIC CHARACTERISTICS: SIMULATION RESULTS AND VERIFICATION." Fundamental and Applied Problems of Engineering and Technology 2 (2021): 140–45. http://dx.doi.org/10.33979/2073-7408-2021-346-2-140-145.

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The article presents the results of a computational experiment on modeling a smooth plain bearing with a controlled axial supply of lubricant. The basic relations of the mathematical model, boundary conditions and parameters of modeling the fluid flow in the gap region of the sliding support are presented. The description of the calculation of the sliding support in the Ansys software package is given. The results of modeling and the results of calculating the static and dynamic parameters of the simulated bearing are presented. Conclusions are drawn on the applicability of computational fluid dynamics programs for calculating sliding supports

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13

Xiaohua, Li, Zheng Guo, Grecov Dana, and Zhongxi Hou. "Efficient reduced-order modeling of unsteady aerodynamics under light dynamic stall conditions." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 6 (May 10, 2018): 2141–51. http://dx.doi.org/10.1177/0954410018773628.

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In this research, a reduced-order modeling is developed to predict the unsteady aerodynamic forces under light dynamic stall conditions at low-speed regimes. The filtered white Gaussian noise is selected as input signals for computational fluid dynamics solver in order to generate training data, containing the information of reduced frequency and amplitude. Because of the time history influences, the reduced-order modeling combines the Kriging function and recurrence framework together in this approach. An airfoil NACA0012 undergoing pitching motions with different reduced frequency, amplitude, and mean angle of attack is designed to illustrate the methodology. The developed model can predict the lift, drag, and moment coefficients in seconds on a single-core computer processor. To reduce the prediction errors between reduced-order modeling predictions and computational fluid dynamics simulations, the aerodynamic loads in static conditions are applied as initial inputs. The predictions via the proposed approach are in agreement with the results using a high precision computational fluid dynamics solver over the designed ranges of amplitude and reduced frequency, which is suitable for engineering applications, such as fluid-structure interaction, and aircraft design optimizations.

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14

Feng, Yongcun, and K. E. Gray. "Modeling Lost Circulation Through Drilling-Induced Fractures." SPE Journal 23, no. 01 (August 17, 2017): 205–23. http://dx.doi.org/10.2118/187945-pa.

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Summary Previous lost-circulation models assume either a stationary fracture or a constant-pressure- or constant-flowrate-driven fracture, but they cannot capture fluid loss into a growing, induced-fracture driven by dynamic circulation pressure during drilling. In this paper, a new numerical model is developed on the basis of the finite-element method for simulating this problem. The model couples dynamic mud circulation in the wellbore and induced-fracture propagation into the formation. It provides estimates of time-dependent wellbore pressure, fluid-loss rate, and fracture profile during drilling. Numerical examples were carried out to investigate the effects of several operational parameters on lost circulation. The results show that the viscous pressure losses in the wellbore annulus caused by dynamic circulation can lead to significant increases in wellbore pressure and fluid loss. The information provided by the model (e.g., dynamic circulation pressure, fracture width, and fluid-loss rate) is valuable for managing wellbore pressure and designing wellbore-strengthening operations.

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15

Mousaviraad, Maysam, Michael Conger, Shanti Bhushan, Frederick Stern, Andrew Peterson, and Mehdi Ahmadian. "Coupled computational fluid and multi-body dynamics suspension boat modeling." Journal of Vibration and Control 24, no. 18 (August 9, 2017): 4260–81. http://dx.doi.org/10.1177/1077546317722897.

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Multiphysics modeling, code development, and validation by full-scale experiments is presented for hydrodynamic/suspension-dynamic interactions of a novel ocean vehicle, the Wave Adaptive Modular Vessel (WAM-V). The boat is a pontoon catamaran with hinged engine pods and elevated payload supported by suspension and articulation systems. Computational fluid dynamics models specific to WAM-V are developed which include hinged pod dynamics, water-jet propulsion modeling, and immersed boundary method for flow in the gap between pontoon and pod. Multi-body dynamics modeling for the suspension and upper-structure dynamic is developed in MATLAB Simulink. Coupled equations of motion are developed and solved iteratively through either one-way or two-way coupling methods to converge on flow-field, pontoon motions, pod motions, waterjet forces, and suspension motions. Validation experiments include cylinder drop with suspended mass and 33-feet WAM-V sea-trials in calm water and waves. Computational results show that two-way coupling is necessary to capture the physics of the interactions. The experimental trends are predicted well and errors are mostly comparable to those for rigid boats, however, in some cases the errors are larger, which is expected due to the complexity of the current studies. Ride quality analyses show that WAM-V suspension is effective in reducing payload vertical accelerations in waves by 73% compared to the same boat with rigid upper-structure.

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16

Liu, Xu, Wei Liu, and Yunfei Zhao. "Unsteady Vibration Aerodynamic Modeling and Evaluation of Dynamic Derivatives Using Computational Fluid Dynamics." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/813462.

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Unsteady aerodynamic system modeling is widely used to solve the dynamic stability problems encountering aircraft design. In this paper, single degree-of-freedom (SDF) vibration model and forced simple harmonic motion (SHM) model for dynamic derivative prediction are developed on the basis of modified Etkin model. In the light of the characteristics of SDF time domain solution, the free vibration identification methods for dynamic stability parameters are extended and applied to the time domain numerical simulation of blunted cone calibration model examples. The dynamic stability parameters by numerical identification are no more than 0.15% deviated from those by experimental simulation, confirming the correctness of SDF vibration model. The acceleration derivatives, rotary derivatives, and combination derivatives of Army-Navy Spinner Rocket are numerically identified by using unsteady N-S equation and solving different SHV patterns. Comparison with the experimental result of Army Ballistic Research Laboratories confirmed the correctness of the SHV model and dynamic derivative identification. The calculation result of forced SHM is better than that by the slender body theory of engineering approximation. SDF vibration model and SHM model for dynamic stability parameters provide a solution to the dynamic stability problem encountering aircraft design.

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17

Liu, H. "Simulation-Based Biological Fluid Dynamics in Animal Locomotion." Applied Mechanics Reviews 58, no. 4 (July 1, 2005): 269–82. http://dx.doi.org/10.1115/1.1946047.

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This article presents a wide-ranging review of the simulation-based biological fluid dynamic models that have been developed and used in animal swimming and flying. The prominent feature of biological fluid dynamics is the relatively low Reynolds number, e.g. ranging from 100 to 104 for most insects; and, in general, the highly unsteady motion and the geometric variation of the object result in large-scale vortex flow structure. We start by reviewing literature in the areas of fish swimming and insect flight to address the usefulness and the difficulties of the conventional theoretical models, the experimental physical models, and the computational mechanical models. Then we give a detailed description of the methodology of the simulation-based biological fluid dynamics, with a specific focus on three kinds of modeling methods: (1) morphological modeling methods, (2) kinematic modeling methods, and (3) computational fluid dynamic methods. An extended discussion on the verification and validation problem is also presented. Next, we present an overall review on the most representative simulation-based studies in undulatory swimming and in flapping flight over the past decade. Then two case studies, of the tadpole swimming and the hawkmoth hovering analyses, are presented to demonstrate the context for and the feasibility of using simulation-based biological fluid dynamics to understanding swimming and flying mechanisms. Finally, we conclude with comments on the effectiveness of the simulation-based methods, and also on its constraints.

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18

Wang, Jianfeng, Jingxin Xiao, Yunfeng Liang, and Jing Zhang. "Dynamic modeling and experimental analysis of magnetic fluid dampers." Modelling, Measurement and Control B 86, no. 1 (March 30, 2017): 76–90. http://dx.doi.org/10.18280/mmc_b.860106.

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19

LIU, Hao. "701 A computational fluid dynamic modeling of insect flight." Proceedings of the Fluids engineering conference 2001 (2001): 93. http://dx.doi.org/10.1299/jsmefed.2001.93.

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20

Pindera, Maciej-Zenon, and Lawrence Talbot. "Some fluid dynamic considerations in the modeling of flames." Combustion and Flame 73, no. 2 (August 1988): 111–25. http://dx.doi.org/10.1016/0010-2180(88)90041-7.

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21

FETISOV, A. S., Yu N. KAZAKOV, and N. V. TOKMAKOV. "ROTOR TRAJECTORIES ON MAGNETORHEOLOGICAL FLUID–FILM BEARINGS." Fundamental and Applied Problems of Engineering and Technology, no. 6 (2021): 76–82. http://dx.doi.org/10.33979/2073-7408-2021-350-6-76-82.

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The article presents the results of a computational experiment to simulate the dynamics of a rotor on plain bearings lubricated with a magnetorheological fluid. The results of calculating the dynamic coefficients are presented. A description of a rigid rotor model on fluid friction supports is given. The results of modeling the dynamics of a rigid rotor on magnetorheological sliding bearings are presented. The summary data on the value of the maximum amplitude of vibration displacements of the rotor are given.

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22

Spanos, P. D., M. L. Payne, and C. K. Secora. "Bottom-Hole Assembly Modeling and Dynamic Response Determination." Journal of Energy Resources Technology 119, no. 3 (September 1, 1997): 153–58. http://dx.doi.org/10.1115/1.2794983.

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Understanding bottom-hole assembly (BHA) dynamic phenomena remains a critical drilling systems issue due to the cost of potential failures. Many studies have provided useful insight into drillstring dynamics. This study extends previous efforts by providing a novel BHA model which accounts for several critical response factors and can be augmented to address a variety of other effects; new data from an experimental study regarding damping are presented. The proposed model represents the transfer function of the drillstring in terms of its natural modes and properly incorporates several factors critical to BHA dynamic response prediction, including frequency-dependent fluid added mass, and nonlinear wellbore constraints. Results from pertinent numerical studies are presented.

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23

Gevelber, M. A., M. Bufano, and M. Toledo-Quin˜ones. "Dynamic Modeling Analysis for Control of Chemical Vapor Deposition." Journal of Dynamic Systems, Measurement, and Control 120, no. 2 (June 1, 1998): 164–69. http://dx.doi.org/10.1115/1.2802405.

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A nonlinear dynamic model of the chemical vapor deposition (CVD) process has been developed to aid design of a closed-loop control system. A lumped control volume analysis is used to capture important mass and fluid transients and spatial affects, while a simplified single variable equation is used to represent the complex reaction chemistry. Steady-state experimental results and model predictions are compared and the control implications of the process dynamics are discussed.

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24

Tenório, M. S. C., A. F. C. Gomes, B. R. Barboza, D. C. Galindo, J. L. G. Marinho, L. M. T. M. Oliveira, and J. P. L. Santos. "FLUID DYNAMIC ANALYSIS OF A MARINE SOIL IN JETTING EXCAVATION EMPLOYING RHEOLOGICAL MODELS: INFLUENCE OF DRILLING FLUID ON SOIL DEFORMATION." Brazilian Journal of Petroleum and Gas 15, no. 3 (October 25, 2021): 81–94. http://dx.doi.org/10.5419/bjpg2021-0008.

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With the exploration of marine oil fields in deep and ultra-deepwater regions, the need for studying different methods of well construction has increased. Nowadays, the technique of laying conductive casing by jetting is the most widely used for the starting phase of a well in such conditions. In this scenario, in early layers, where the marine soil is in contact with seawater, this material can present itself as a fine mud, characterizing a cohesive non-drained soil, with low shear strength, being considered a material with viscoplastic behavior. Thus, as such, using fluid rheology to analyze it may represent a valid option; being possible to classify it as a Herschel-Bulkley fluid. The use of computational modeling and numerical simulation represent an alternative to understand the behavior of soil during jetting. In this context, this work focuses on developing a computational modeling of the jetting of marine soil, based on the soil fluid dynamics approach, using computational fluid dynamics (CFD - Computational Fluid Dynamics) software SIMULIA XFLOW, version 2020. This work aims to investigate the deformation in the seabed in response to an incident vertical jet using different drilling fluids, also modeled as viscoplastic materials. Drilling fluids suitable for jetting and a fluid with a higher specific mass were considered. For the proposed modeling of the soil and drilling fluids considered, the main parameters used were the yield point, consistency index, behavior index, and the boundary viscosity. The latter was necessary to implement the modified Herschel-Bulkley model used by the software. Results show that the excavated cavity presented a similar behavior for the drilling fluids suitable for jetting, indicating that the rheology of the drilling fluid does not interfere with the deformation of the soil. However, a significant influence on the profile of the excavated cavity was observed when implementing the drilling fluid of higher specific mass in the jetting, which deformed the soil at greater depths.

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25

Gao, Yuan, and Thomas Sale. "Analytical Modeling of Particle Tracking for Dynamic Pumping Conditions." Water 12, no. 9 (September 3, 2020): 2469. http://dx.doi.org/10.3390/w12092469.

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Movement of fluid particles about historic subsurface releases and through well fields is often governed by dynamic subsurface water levels. Motivations for tracking the movement of fluid particles include tracking the fate of subsurface contaminants and resolving the fate of water stored in subsurface aquifers. Based on superposition of the Theis solution in both space and time, this research explores an analytical solution based on the Theis equation using dynamic pumping well data to resolve how fluid particles move around wells under dynamic pumping conditions. The results provide relatively uniform capture zones for a pumping well. Further, the results show that even under continuous pumping and injection conditions, groundwater will not flow far from the well. Accordingly, groundwater positions can be evaluated based on the research for dynamic pumping. Using the assumptions proposed by the Theis solution, the analytical solution developed in this study provides a simple method to evaluate particle movement in wells used to both store and recover water.

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26

Rodríguez, Jesús, and Ernesto Amores. "CFD Modeling and Experimental Validation of an Alkaline Water Electrolysis Cell for Hydrogen Production." Processes 8, no. 12 (December 11, 2020): 1634. http://dx.doi.org/10.3390/pr8121634.

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Although alkaline water electrolysis (AWE) is the most widespread technology for hydrogen production by electrolysis, its electrochemical and fluid dynamic optimization has rarely been addressed simultaneously using Computational Fluid Dynamics (CFD) simulation. In this regard, a two-dimensional (2D) CFD model of an AWE cell has been developed using COMSOL® software and then experimentally validated. The model involves transport equations for both liquid and gas phases as well as equations for the electric current conservation. This multiphysics approach allows the model to simultaneously analyze the fluid dynamic and electrochemical phenomena involved in an electrolysis cell. The electrical response was evaluated in terms of polarization curve (voltage vs. current density) at different operating conditions: temperature, electrolyte conductivity, and electrode-diaphragm distance. For all cases, the model fits very well with the experimental data with an error of less than 1% for the polarization curves. Moreover, the model successfully simulates the changes on gas profiles along the cell, according to current density, electrolyte flow rate, and electrode-diaphragm distance. The combination of electrochemical and fluid dynamics studies provides comprehensive information and makes the model a promising tool for electrolysis cell design.

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27

Vitale, Salvatore, Tim A. Albring, Matteo Pini, Nicolas R. Gauger, and Piero Colonna. "Fully turbulent discrete adjoint solver for non-ideal compressible flow applications." Journal of the Global Power and Propulsion Society 1 (November 22, 2017): Z1FVOI. http://dx.doi.org/10.22261/jgpps.z1fvoi.

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Abstract Non-Ideal Compressible Fluid-Dynamics (NICFD) has recently been established as a sector of fluid mechanics dealing with the flows of dense vapors, supercritical fluids, and two-phase fluids, whose properties significantly depart from those of the ideal gas. The flow through an Organic Rankine Cycle (ORC) turbine is an exemplary application, as stators often operate in the supersonic and transonic regime, and are affected by NICFD effects. Other applications are turbomachinery using supercritical CO2 as working fluid or other fluids typical of the oil and gas industry, and components of air conditioning and refrigeration systems. Due to the comparably lower level of experience in the design of this fluid machinery, and the lack of experimental information on NICFD flows, the design of the main components of these processes (i.e., turbomachinery and nozzles) may benefit from adjoint-based automated fluid-dynamic shape optimization. Hence, this work is related to the development and testing of a fully-turbulent adjoint method capable of treating NICFD flows. The method was implemented within the SU2 open-source software infrastructure. The adjoint solver was obtained by linearizing the discretized flow equations and the fluid thermodynamic models by means of advanced Automatic Differentiation (AD) techniques. The new adjoint solver was tested on exemplary turbomachinery cases. Results demonstrate the method effectiveness in improving simulated fluid-dynamic performance, and underline the importance of accurately modeling non-ideal thermodynamic and viscous effects when optimizing internal flows influenced by NICFD phenomena.

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28

Du, Nei Juan, Yue Guo Shen, and Jun Hai Zhang. "The Dynamic Response Analysis of the Multi-Body System with Floating Base Based on the ADAMS." Applied Mechanics and Materials 574 (July 2014): 58–61. http://dx.doi.org/10.4028/www.scientific.net/amm.574.58.

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Анотація:

The dynamic response analysis of the multi-body system with floating base includes the interaction between bodies and flow field as well as the one inside the multi-body system, which needs to use both the time-domain theory about the interaction between the object and the flow field and the method of multi-body system dynamics. With the growing complexity of the upper body, the multi-body system with floating base, whose generalized modeling and analysis become an inevitable trend.Using ADAMS(Automatic Dynamic Analysis of Mechanical System) for multi-body system dynamics analysis has unique advantages. It integrates modeling, solving and visualization technology. It also can realize automatically statics, kinematics and dynamics analysis. In this paper, the feasibility of ADAMS software and some related key issues are discussed, including the system architecture, fluid force analysis, fluid-structure coupling calculation module and ADAMS multi-body dynamics analysis module of data generation and transmission, etc.

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29

Wu, S. Z., D. N. Wormley, D. Rowell, and H. M. Paynter. "Dynamic Modeling and Simulation of Gaseous Systems." Journal of Dynamic Systems, Measurement, and Control 107, no. 4 (December 1, 1985): 262–66. http://dx.doi.org/10.1115/1.3140733.

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A general computer-based mathematical modeling system for analyzing air/gas system dynamics has been developed. A set of generic lumped and distributed elements are interconnected by generalized junction structures to represent system configurations. The dynamic response of pressure, flow, temperature, and heat transfer rate at any point in a system, due to control actions, or fluid, thermal, or mechanical disturbances can be determined. The model has been used to analyze furnace implosion and disturbance propagation problems in fossil fuel power plants. To illustrate the modeling techniques, a model of a coal-fired plant has been constructed and pressure transients computed following a fuel trip. The model simulation predictions of the furnace pressure excursions are in close agreement with the data from field tests.

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30

Metar, Manas. "Computational Fluid Dynamic Analysis of Conceptual 3D Car Model." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 1704–11. http://dx.doi.org/10.22214/ijraset.2021.39608.

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Abstract: From past decades, people are giving more attention to conservation of the fuels. The increasing number of passenger cars have increased the amount of traffic which directly impacts pollution and traffic congestion. Manufacturers are indulged into making lightweight and performance efficient automobiles. Implementation of different designs and materials has been in practice since ages. We need smaller vehicle designs for personal transport and electric vehicles to tackle the raising problems. In future designs, vehicles will be efficient enough to save more fuel and also the traffic problems may be solved. But for the design optimizations and experiments we need different analyses to be performed, one of which is aerodynamic analysis. In this paper a CFD analysis is done to check the aerodynamic performance of a proposed car design. The car has been designed using Onshape modeling software and analyzed in Simscale software. The car is subjected to different vehicle speeds and the results of drag coefficients and pressure plots are shown. Keywords: Design and analysis of a vehicle, CFD analysis, Aerodynamic analysis, 3D modelling, Drag coefficient, Pressure plot, Concept car, Performance Optimization.

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31

CHEN, Shiwei. "Dynamic Parametric Modeling and Identification of Magnetorheological Fluid Engine Mounts." Journal of Mechanical Engineering 52, no. 8 (2016): 29. http://dx.doi.org/10.3901/jme.2016.08.029.

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32

Wu, Jianfa, Honglun Wang, Menghua Zhang, and Zikang Su. "Cooperative Dynamic Fuzzy Perimeter Surveillance: Modeling and Fluid-Based Framework." IEEE Systems Journal 14, no. 4 (December 2020): 5210–20. http://dx.doi.org/10.1109/jsyst.2020.2974869.

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33

ALHAJRAF, S. "Computational fluid dynamic modeling of drifting particles at porous fences." Environmental Modelling & Software 19, no. 2 (February 2004): 163–70. http://dx.doi.org/10.1016/s1364-8152(03)00118-x.

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34

Sildir, Hasan, Yaman Arkun, Ummuhan Canan, Serdar Celebi, Utku Karani, and Ilay Er. "Dynamic modeling and optimization of an industrial fluid catalytic cracker." Journal of Process Control 31 (July 2015): 30–44. http://dx.doi.org/10.1016/j.jprocont.2015.04.002.

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35

Kunz, Gerald, Olaf Strelow, and Michael Beckmann. "Dynamic modeling of fluid-cooled tools in periodic thermal processes." International Journal of Thermal Sciences 84 (October 2014): 228–51. http://dx.doi.org/10.1016/j.ijthermalsci.2014.05.011.

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36

Kasireddy, Nithya, Vahideh Ansari Hosseinzadeh, Daishen Luo, R. Glynn Holt, and Damir B. Khismatullin. "Theoretical Modeling of Biological Fluid Deformation during Dynamic Acoustic Tweezing." Biophysical Journal 112, no. 3 (February 2017): 306a. http://dx.doi.org/10.1016/j.bpj.2016.11.1654.

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37

Liu, Hao-Ran, Peng Gao, and Hang Ding. "Fluid–structure interaction involving dynamic wetting: 2D modeling and simulations." Journal of Computational Physics 348 (November 2017): 45–65. http://dx.doi.org/10.1016/j.jcp.2017.07.017.

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38

Yang, G., B. F. Spencer, J. D. Carlson, and M. K. Sain. "Large-scale MR fluid dampers: modeling and dynamic performance considerations." Engineering Structures 24, no. 3 (March 2002): 309–23. http://dx.doi.org/10.1016/s0141-0296(01)00097-9.

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39

Wicklein, Edward, Charles Sweeney, Constantino Senon, Doug Hattersley, Brian Schultz, and Randy Naef. "Computation Fluid Dynamic Modeling of a Proposed Influent Pump Station." Proceedings of the Water Environment Federation 2006, no. 5 (January 1, 2006): 7094–114. http://dx.doi.org/10.2175/193864706783761356.

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40

Massaglia, G., M. Gerosa, V. Agostino, A. Cingolani, A. Sacco, G. Saracco, V. Margaria, and M. Quaglio. "Fluid Dynamic Modeling for Microbial Fuel Cell Based Biosensor Optimization." Fuel Cells 17, no. 5 (September 21, 2017): 627–34. http://dx.doi.org/10.1002/fuce.201700026.

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41

Beaucamp, Anthony, Yoshiharu Namba, and Richard Freeman. "Dynamic multiphase modeling and optimization of fluid jet polishing process." CIRP Annals 61, no. 1 (2012): 315–18. http://dx.doi.org/10.1016/j.cirp.2012.03.073.

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42

Mahgerefteh, Haroun, Pratik Saha, and Ioannis G. Economou. "Modeling fluid phase transition effects on dynamic behavior of ESDV." AIChE Journal 46, no. 5 (May 2000): 997–1006. http://dx.doi.org/10.1002/aic.690460512.

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43

Carvalho, A. J. G., D. C. Galindo, M. S. C. Tenório, and J. L. G. Marinho. "MODELING AND SIMULATION OF A HORIZONTAL THREE-PHASE SEPARATOR: INFLUENCE OF PHYSICOCHEMICAL PROPERTIES OF OIL." Brazilian Journal of Petroleum and Gas 14, no. 04 (January 7, 2021): 205–20. http://dx.doi.org/10.5419/bjpg2020-0016.

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Fluids produced from oil reservoirs typically contain oil, natural gas, water, sediments, in varying amounts, and contaminating gases. Considering that economic interest usually targets mostly oil and gas, primary processing is used to separate water/oil/gas, in addition to treating these phases. Therefore, the well stream should be processed as soon as possible after reaching the surface. Separator vessels are among the main equipment used at surface production facilities, being responsible for the separation of the produced phases. This work focuses on studying the fluid dynamic behavior in a horizontal three-phase separator. To accomplish this goal, we used the computer fluid dynamics software ANSYS CFX. First, we performed a detailed analysis of a “Standard Case” to understand in detail the entire separation process within the vessel. The results show the three phases through the simulation time, analyses of the separation efficiency, different fluids flow lines, pressure gradient inside the vessel, and effect of the diverter baffle. It also considers a variation of fluid flow at the inlet of the separator. These analyses include pictures of all cases studied. Afterwards, some parameters of the standard case were altered to evaluate its influence on fluid dynamics behavior and the functioning of the separator vessel. At last, we analyzed the influences of oil density and viscosity on the separation. The oil quality affects the primary separation directly, as the oil density and viscosity increase, for example, increases the drag between the fluids and decreases the rate of sedimentation, which stickles the separation process difficult. Two out of the three cases generated satisfactory results. The simulation with the heaviest oil presented the worse results.

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44

Zhao, Yao, Kai Zhang, Fengbei Guo, and Mingyue Yang. "Dynamic Modeling and Flow Distribution of Complex Micron Scale Pipe Network." Micromachines 12, no. 7 (June 28, 2021): 763. http://dx.doi.org/10.3390/mi12070763.

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A fluid simulation calculation method of the microfluidic network is proposed as a means to achieve the flow distribution of the microfluidic network. This paper quantitatively analyzes the influence of flow distribution in microfluidic devices impacted by pressure variation in the pressure source and channel length. The flow distribution in microfluidic devices with three types of channel lengths under three different pressure conditions is studied and shows that the results obtained by the simulation calculation method on the basis of the fluid network are close to those given by the calculation method of the conventional electrical method. The simulation calculation method on the basis of the fluid network studied in this paper has computational reliability and can respond to the influence of microfluidic network length changes to the fluid system, which plays an active role in Lab-on-a-chip design and microchannel flow prediction.

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45

Ma, Jun, San Peng Deng, Nan Wang, and Yong Yue Wang. "Nonlinear Dynamic Modeling of Constant Force Supported Thermal Power Pipeline." Key Engineering Materials 693 (May 2016): 373–77. http://dx.doi.org/10.4028/www.scientific.net/kem.693.373.

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In this paper, the Hamilton theory was applied to describe the dynamic model of Thermal Power Pipeline nonlinear fluid solid coupling vibration. The model includes the control equation of axial vibration and the transverse vibration of the pipeline, taking full account of the vibration characteristics of the fluid in the pipeline, effect of thermal deformation and constant support, as well as the friction coupling, Poisson coupling and junction coupling. The model is an attempt to the heating pipes and need to be further improved.

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46

Agarwal, Shashank, Andras Karsai, Daniel I. Goldman, and Ken Kamrin. "Surprising simplicity in the modeling of dynamic granular intrusion." Science Advances 7, no. 17 (April 2021): eabe0631. http://dx.doi.org/10.1126/sciadv.abe0631.

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Granular intrusions, such as dynamic impact or wheel locomotion, are complex multiphase phenomena where the grains exhibit solid-like and fluid-like characteristics together with an ejected gas-like phase. Despite decades of modeling efforts, a unified description of the physics in such intrusions is as yet unknown. Here, we show that a continuum model based on the simple notions of frictional flow and tension-free separation describes complex granular intrusions near free surfaces. This model captures dynamics in a variety of experiments including wheel locomotion, plate intrusions, and running legged robots. The model reveals that one static and two dynamic effects primarily give rise to intrusion forces in such scenarios. We merge these effects into a further reduced-order technique (dynamic resistive force theory) for rapid modeling of granular locomotion of arbitrarily shaped intruders. The continuum-motivated strategy we propose for identifying physical mechanisms and corresponding reduced-order relations has potential use for a variety of other materials.

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47

Meng, Guang Yao, Ji Wen Tan, and Yi Cui. "Grinding Fluid Flow Field Modeling and Multi-Parameter Numerical Analysis Based on Smooth Model." Advanced Materials Research 156-157 (October 2010): 948–55. http://dx.doi.org/10.4028/www.scientific.net/amr.156-157.948.

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Relative motion between grinding wheel and workpiece makes the lubricant film pressure formed by grinding fluid in the grinding area increase, consequently, dynamic pressure lubrication forms. The grinding fluid flow field mathematical model in smooth grinding area is established based on lubrication theory. The dynamic pressure of grinding fluid field, flow velocity and carrying capacity of lubricating film are calculated by the numerical analysis method. An analysis of effect of grinding fluid hydrodynamic on the total lifting force is performed, and the results are obtained.

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48

Zhang, Hairong, Bin Zhao, Shiqi Dong, Xixin Wang, and Pengfei Jing. "A Method for the Inversion of Reservoir Effective Permeability Based on Time-Lapse Resistivity Logging Data and Its Application." Geofluids 2022 (April 22, 2022): 1–13. http://dx.doi.org/10.1155/2022/8704344.

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Effective permeability is a key parameter for evaluating reservoirs and their productivity. With the wide application of resistivity logging tools in drilling, the advantages of resistivity logging in response to the dynamic invasion process of drilling fluids have become increasingly prominent. We analyzed the variation law of the measured resistivity data for different permeability formations at different times. In this study, we proposed an effective permeability modeling method based on the time-lapse resistivity logging data. First, based on the resistivity measurement data at different times, the dynamic resistivity profile of the reservoir was obtained through joint inversion; we then obtained the invasion depth and invasion zone resistivity of the drilling fluid at different times, along with the original formation resistivity. Subsequently, combined with parameters such as the soaking time, fluid viscosity, and saturation change of the drilling fluid, we obtained the phase permeability curve of the reservoir and dynamic effective permeability of the fluid near the wellbore. This study provides basic parameters for subsequent formation analyses and productivity prediction and substantially improves the reservoir evaluation technology from static to dynamic.

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49

Steijl, René. "Quantum Circuit Implementation of Multi-Dimensional Non-Linear Lattice Models." Applied Sciences 13, no. 1 (December 30, 2022): 529. http://dx.doi.org/10.3390/app13010529.

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The application of Quantum Computing (QC) to fluid dynamics simulation has developed into a dynamic research topic in recent years. With many flow problems of scientific and engineering interest requiring large computational resources, the potential of QC to speed-up simulations and facilitate more detailed modeling forms the main motivation for this growing research interest. Despite notable progress, many important challenges to creating quantum algorithms for fluid modeling remain. The key challenge of non-linearity of the governing equations in fluid modeling is investigated here in the context of lattice-based modeling of fluids. Quantum circuits for the D1Q3 (one-dimensional, three discrete velocities) Lattice Boltzmann model are detailed along with design trade-offs involving circuit width and depth. Then, the design is extended to a one-dimensional lattice model for the non-linear Burgers equation. To facilitate the evaluation of non-linear terms, the presented quantum circuits employ quantum computational basis encoding. The second part of this work introduces a novel, modular quantum-circuit implementation for non-linear terms in multi-dimensional lattice models. In particular, the evaluation of kinetic energy in two-dimensional models is detailed as the first step toward quantum circuits for the collision term of two- and three-dimensional Lattice Boltzmann methods. The quantum circuit analysis shows that with O(100) fault-tolerant qubits, meaningful proof-of-concept experiments could be performed in the near future.

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50

Meziou, Amine, Zurwa Khan, Taoufik Wassar, Matthew A. Franchek, Reza Tafreshi, and Karolos Grigoriadis. "Dynamic Modeling of Two-Phase Gas/Liquid Flow in Pipelines." SPE Journal 24, no. 05 (April 22, 2019): 2239–63. http://dx.doi.org/10.2118/194213-pa.

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Summary Presented is a reduced–order thermal fluid dynamic model for gas/liquid two–phase flow in pipelines. Specifically, a two–phase–flow thermal model is coupled with a two–phase–flow hydraulics model to estimate the gas and liquid properties at each pressure and temperature condition. The proposed thermal model estimates the heat–transfer coefficient for different flow patterns observed in two–phase flow. For distributed flows, where the two phases are well–mixed, a weight–based averaging is used to estimate the equivalent fluid thermal properties and the overall heat–transfer coefficient. Conversely, for segregated flows, where the two phases are separated by a distinct interface, the overall heat–transfer coefficient is dependent on the liquid holdup and pressure drop estimated by the fluid model. Intermittent flows are considered as a combination of distributed and segregated flow. The integrated model is developed by dividing the pipeline into segments. Equivalent fluid properties are identified for each segment to schedule the coefficients of a modal approximation of the transient single–phase–flow pipeline–distributed–parameter model to obtain dynamic pressure and flow rate, which are used to estimate the transient temperature response. The resulting model enables a computationally efficient estimation of the pipeline–mixture pressure, temperature, two–phase–flow pattern, and liquid holdup. Such a model has utility for flow–assurance studies and real–time flow–condition monitoring. A sensitivity analysis is presented to estimate the effect of model parameters on the pipeline–mixture dynamic response. The model predictions of mixture pressure and temperature are compared with an experimental data set and OLGA (2014) simulations to assess model accuracy.

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