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Journal articles on the topic 'Computational fluid dynamic'

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Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

Raza, Md Shamim, Nitesh Kumar, and Sourav Poddar. "Combustor Characteristics under Dynamic Condition during Fuel – Air Mixingusing Computational Fluid Dynamics." Journal of Advances in Mechanical Engineering and Science 1, no. 1 (August 8, 2015): 20–33. http://dx.doi.org/10.18831/james.in/2015011003.

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2

Gao, Feng, Gang Li, Rui Hu, and Hiroshi Okada. "Computational Fluid Dynamic Analysis of Coronary Artery Stenting." International Journal of Bioscience, Biochemistry and Bioinformatics 4, no. 3 (2014): 155–59. http://dx.doi.org/10.7763/ijbbb.2014.v4.330.

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3

Storti, Mario A., Norberto M. Nigro, Rodrigo R. Paz, and Lisandro D. Dalcín. "Dynamic boundary conditions in computational fluid dynamics." Computer Methods in Applied Mechanics and Engineering 197, no. 13-16 (February 2008): 1219–32. http://dx.doi.org/10.1016/j.cma.2007.10.014.

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4

Iaronka, Odirlan, Vitor Cristiano Bender, and Tiago Bandeira Marchesan. "Thermal Management Of Led Luminaires Based On Computational Fluid Dynamic." Eletrônica de Potência 20, no. 1 (February 1, 2015): 76–84. http://dx.doi.org/10.18618/rep.2015.1.076084.

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5

Ronch, A. Da, D. Vallespin, M. Ghoreyshi, and K. J. Badcock. "Evaluation of Dynamic Derivatives Using Computational Fluid Dynamics." AIAA Journal 50, no. 2 (February 2012): 470–84. http://dx.doi.org/10.2514/1.j051304.

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6

Tharehalli Mata, Gurubasavaraju, Hemantha Kumar, and Arun Mahalingam. "Performance analysis of a semi-active suspension system using coupled CFD-FEA based non-parametric modeling of low capacity shear mode monotube MR damper." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 5 (April 10, 2018): 1214–31. http://dx.doi.org/10.1177/0954407018765899.

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In this work, an approach for formulation of a non-parametric-based polynomial representative model of magnetorheological damper through coupled computational fluid dynamics and finite element analysis is presented. Using this, the performance of a quarter car suspension subjected to random road excitation is estimated. Initially, prepared MR fluid is characterized to obtain a relationship between the field-dependent shear stress and magnetic flux density. The amount of magnetic flux induced in the shear gap of magnetorheological damper is computed using finite element analysis. The computed magnetic field is used in the computational fluid dynamic analysis to calculate the maximum force induced under specified frequency, displacement and applied current using ANSYS CFX software. Experiments have been conducted to verify the credibility of the results obtained from computational analysis, and a comparative study has been made. From the comparison, it was found that a good agreement exists between experimental and computed results. Furthermore, the influence of fluid flow gap length and frequency on the induced force of the damper is investigated using the computational methods (finite element analysis and computational fluid dynamic) for various values. This proposed approach would serve in the preliminary design for estimation of magnetorheological damper dynamic performance in semi-active suspensions computationally prior to experimental analysis.

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7

Taherian, Shahab, Hamid Rahai, Bernardo Gomez, Thomas Waddington, and Farhad Mazdisnian. "Computational fluid dynamics evaluation of excessive dynamic airway collapse." Clinical Biomechanics 50 (December 2017): 145–53. http://dx.doi.org/10.1016/j.clinbiomech.2017.10.018.

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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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Lu, Bao Yan, and Yan Zhou Li. "Computational Fluid Dynamic of Date Transfer." Applied Mechanics and Materials 477-478 (December 2013): 236–39. http://dx.doi.org/10.4028/www.scientific.net/amm.477-478.236.

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A high-speed craft in the supersonic speed, ambient temperature and pressure would affect its structure, heat flow fluid-solid coupling simulation can quantify the effect. Due to physical fields had different heat flow fluid-solid coupling simulation, the data transmission was needed when the fluid dynamics to calculate the quantities of the import structure field. This paper given the derivation process and method of the physical fields data transfer, fluid dynamics to calculate the data in the simulation of structure field was implemented and to quantify the temperature field and stress field impacted on structure field.

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10

Choi, Seongim, Anubhav Datta, and Juan J. Alonso. "Prediction of Helicopter Rotor Loads Using Time-Spectral Computational Fluid Dynamics and an Exact Fluid–Structure Interface." Journal of the American Helicopter Society 56, no. 4 (October 1, 2011): 1–15. http://dx.doi.org/10.4050/jahs.56.042001.

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The objectives of this paper are to introduce time-spectral computational fluid dynamics (CFD) for the analysis of helicopter rotor flows in level flight and to introduce an exact fluid–structure interface for coupled CFD/computational structural dynamics (CSD) analysis. The accuracy and efficiency of time-spectral CFD are compared with conventional time-marching computations. The exact interface is equipped with an exact delta coupling procedure that bypasses the requirement for sectional airloads. Predicted loads are compared between time-spectral and time-marching CFD using both interfaces and validated using UH-60A flight data for high-vibration and dynamic stall conditions. It is concluded that time-spectral CFD can indeed predict rotor performance and peak-to-peak structural loads efficiently, and hence, open opportunity for blade shape optimization. The vibratory and dynamic stall loads, however, require a large number of time instances, which reduces its efficiency. The exact interface and delta procedure allow coupling to be implemented for arbitrary grids and advanced structural models exactly, without the requirement for two-dimensional sectional airloads.

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Spentzos, A., G. Barakos, K. Badcock, B. Richards, P. Wernert, S. Schreck, and M. Raffel. "Investigation of Three-Dimensional Dynamic Stall Using Computational Fluid Dynamics." AIAA Journal 43, no. 5 (May 2005): 1023–33. http://dx.doi.org/10.2514/1.8830.

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12

Malcevic, Ivan, and Omar Ghattas. "Dynamic-mesh finite element method for Lagrangian computational fluid dynamics." Finite Elements in Analysis and Design 38, no. 10 (August 2002): 965–82. http://dx.doi.org/10.1016/s0168-874x(02)00088-4.

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13

Goodman, R. H., H. M. Brown, Chang-Fa An, and Richard D. Rowe. "Dynamic modelling of oil boom failure using computational fluid dynamics." Spill Science & Technology Bulletin 3, no. 4 (January 1996): 213–16. http://dx.doi.org/10.1016/s1353-2561(97)00015-7.

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14

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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15

BEKER, Can, Ali Emre TURGUT, and Dilek Funda KURTULUŞ. "AEROELASTIC ANALYSIS OF A FLAPPING BLOW FLY WING." First Issue of 2019, no. 2019.01 (December 18, 2019): 10–18. http://dx.doi.org/10.23890/ijast.2019.0102.

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In this study, 3D model of the bio-inspired blow fly wing Callphere Erytrocephala is created and aeroelastic analysis is performed to calculate its aerodynamical characateristic by use of numerical methods. In order to perform the flapping motion, a sinusoidal input function is created. The scope of this study is to perform aeroelastic analysis by syncronizing computational fluid dynamics (CFD) and structural dynamic analysis model and to investigate the unsteady lift formation on the aeroelastic flapping wing. Keywords: Micro air vehicle, Fluid-structure interaction analysis, Computational Fluid Dynamics, Structural dynamic analysis, Finite element analysis

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16

Wu, Xiang, and Ling Feng Tang. "Review of Coupled Research for Mechanical Dynamics and Fluid Mechanics of Reciprocating Compressor." Applied Mechanics and Materials 327 (June 2013): 227–32. http://dx.doi.org/10.4028/www.scientific.net/amm.327.227.

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Research statuses of mechanical dynamics and fluid mechanics of a reciprocating compressor are reviewed respectively ,along with the presentation of coupled research for these two disciplines of a reciprocating compressor. Analyses for mechanical dynamics are focused on modal analysis and dynamic response analysis. Three methods can be adopted in dynamic response analysis,which are the combination of the formula derivation and finite element method, the combination of multi-rigid-body dynamics and finite element method , and thecombination of multi-flexible body dynamics and finite element method. Analytical models for fluid dynamics include 1-D computationalfluid dynamics model, 2-D computational fluid dynamics model and 3-D computational fluid dynamics model. In addition, limitations of researches for mechanical dynamics and fluid mechanics in a reciprocating compressor are also presented, as well as the prospect for the coupled research of two disciplines.

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Li, Lei, Carlos F. Lange, and Yongsheng Ma. "Association of design and computational fluid dynamics simulation intent in flow control product optimization." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 13 (March 14, 2017): 2309–22. http://dx.doi.org/10.1177/0954405417697352.

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Computational fluid dynamics has been extensively used for fluid flow simulation and thus guiding the flow control device design. However, computational fluid dynamics simulation requires explicit geometry input and complicated solver setup, which is a barrier in case of the cyclic computer-aided design/computational fluid dynamics integrated design process. Tedious human interventions are inevitable to make up the gap. To fix this issue, this work proposed a theoretical framework where the computational fluid dynamics solver setup can be intelligently assisted by the simulation intent capture. Two feature concepts, the fluid physics feature and the dynamic physics feature, have been defined to support the simulation intent capture. A prototype has been developed for the computer-aided design/computational fluid dynamics integrated design implementation without the need of human intervention, where the design intent and computational fluid dynamics simulation intent are associated seamlessly. An outflow control device used in the steam-assisted gravity drainage process is studied using this prototype, and the target performance of the device is effectively optimized.

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18

Liu, Qiang, Wei Zhu, Feng Ma, Xiyu Jia, Yu Gao, and Jun Wen. "Graph attention network-based fluid simulation model." AIP Advances 12, no. 9 (September 1, 2022): 095114. http://dx.doi.org/10.1063/5.0122165.

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Traditional computational fluid dynamics (CFD) techniques deduce the dynamic variations in flow fields by using finite elements or finite differences to solve partial differential equations. CFD usually involves several tens of thousands of grid nodes, which entail long computation times and significant computational resources. Fluid data are usually irregular data, and there will be turbulence in the flow field where the physical quantities between adjacent grid nodes are extremely nonequilibrium. We use a graph attention neural network to build a fluid simulation model (GAFM). GAFM assigns weights to adjacent node-pairs through a graph attention mechanism. In this way, it is not only possible to directly calculate the fluid data but also to adjust for nonequilibrium in vortices, especially turbulent flows. The GAFM deductively predicts the dynamic variations in flow fields by using spatiotemporally continuous sample data. A validation of the proposed GAFM against the two-dimensional (2D) flow around a cylinder confirms its high prediction accuracy. In addition, the GAFM achieves faster computation speeds than traditional CFD solvers by two to three orders of magnitude. The GAFM provides a new idea for the rapid optimization and design of fluid mechanics models and the real-time control of intelligent fluid mechanisms.

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19

Huang, Hanyao, Xu Cheng, Yang Wang, Dantong Huang, Yuhao Wei, Heng Yin, Bing Shi, and Jingtao Li. "Analysis of Velopharyngeal Functions Using Computational Fluid Dynamics Simulations." Annals of Otology, Rhinology & Laryngology 128, no. 8 (April 8, 2019): 742–48. http://dx.doi.org/10.1177/0003489419842217.

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Objectives: Competent velopharyngeal (VP) function is the basis for normal speech. Understanding how VP structure influences the airflow during speech details is essential to the surgical improvement of pharyngoplasty. In this study, we aimed to illuminate the airflow features corresponding to various VP closure states using computed dynamic simulations. Methods: Three-dimensional models of the upper airways were established based on computed tomography of 8 volunteers. The velopharyngeal port was simulated by a cylinder. Computational fluid dynamics simulations were applied to illustrate the correlation between the VP port size and the airflow parameters, including the flow velocity, pressure in the velopharyngeal port, as well as the pressure in oral and nasal cavity. Results: The airflow dynamics at the velopharynx were maintained in the same velopharyngeal pattern as the area of the velopharyngeal port increased from 0 to 25 mm2. A total of 5 airflow patterns with distinct features were captured, corresponding to adequate closure, adequate/borderline closure (Class I and II), borderline/inadequate closure, and inadequate closure. The maximal orifice area that could be tolerated for adequate VP closure was determined to be 2.01 mm2. Conclusion: Different VP functions are of characteristic airflow dynamic features. Computational fluid dynamic simulation is of application potential in individualized VP surgery planning.

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20

Santos, Rômulo Damasclin Chaves dos, and Jorge Henrique de Oliveira Sales. "Mathematical analysis for simulation of incompressible fluid flow." Journal of Engineering and Exact Sciences 9, no. 12 (December 5, 2023): 17392. http://dx.doi.org/10.18540/jcecvl9iss12pp17392.

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The omnipresence and complexity of physical phenomena drive the strong search for tools capable of simulating them, since many applications require computationally viable, reliable and, preferably, low-cost simulations. Thus, a priori, this work has two objectives: i) understand the theoretical foundations of fluid dynamics with an important computational method aimed at simulating incompressible flows, called SPH (Smoothed Particle Hydrodynamic), which will subsequently be implemented; and ii) assist in the consolidation and application of key concepts in mathematical analysis for computer simulation. Our efforts in this work provide mathematical foundations, which in turn, describe the dynamics of fluid dynamic motion.

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21

Wang, Xiaoliang, and Xiaogang Wang. "Simulation of fluid dynamics and turbulence during phacoemulsification using the new propeller turbo tip." BMJ Open Ophthalmology 8, no. 1 (September 2023): e001391. http://dx.doi.org/10.1136/bmjophth-2023-001391.

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PurposeTo investigate the fluid dynamics and turbulence in the anterior chamber during phacoemulsification with a new propeller turbo tip using computational fluid dynamics methods.MethodsA theoretical study, three-dimensional model with the corresponding mathematical equations for the propeller turbo phaco tip, anterior chamber and lens capsular bag was developed. A simulation was performed for the new propeller turbo tip with various parameter settings (vacuum, irrigation bottle height and phaco power). Fluid dynamics and turbulence in the anterior chamber, lens capsular bag and phaco tip were evaluated. The linear relationship between the different setting parameters and a stable anterior chamber pressure was assessed.ResultsThe fluid dynamic turbulence was mainly symmetrically distributed in the anterior chamber. Propeller turbo phaco tip vibration caused increased fluid velocity and asymmetrical fluid turbulence in the metal lumen but had little influence on dynamic intraocular pressure. Reasonable phaco machine parameter settings can maintain a stable intraocular pressure during phacoemulsification.ConclusionsEvaluation of phacoemulsification fluid dynamics using computational simulation methods could provide detailed information about the influence of the propeller on dynamic intraocular pressure during phacoemulsification, which is useful for a better understanding of this procedure.

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Fang, Jun, Yifei Cui, Xinyue Li, and Hui Tang. "Numerical investigation of particle dynamic behaviours in geophysical flows considering solid-fluid interaction." E3S Web of Conferences 415 (2023): 01007. http://dx.doi.org/10.1051/e3sconf/202341501007.

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Solid-fluid interaction vitally influences the flow dynamics of particles in a geophysical flow. A coupled computational fluid dynamics and discrete element method (CFD-DEM) is used in this study to model multiphase geophysical flow as a mixture of fluid and solid phases. The two non-Newtonian fluids (i.e., Bingham and Hershcel-Bulkley fluids) and water mixed with particles are considered in the simulation, while dry granular flow with the same volume is simulated as a control test. Results revealed that the solid-fluid interaction heavily governs the particle dynamic behaviours. Specifically, compared to dry case, particles in three multiphase cases are characterized by larger flow mobility and greater shear rate while smaller basal normal force. In addition, a power-law distribution with a crossover to a generalized Pareto Distribution is recommended to fit the distribution of normalized interparticle contact force.

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23

Maliky, Nu’man Amri, Nanda Pratama Putra, Mochamad Teguh Subarkah, and Syarif Hidayat. "Prediction of Vessel Dynamic Model Parameters using Computational Fluid Dynamics Simulation." Advances in Science, Technology and Engineering Systems Journal 5, no. 6 (December 2020): 926–36. http://dx.doi.org/10.25046/aj0506110.

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24

Siow, C. L., Jaswar, and Efi Afrizal. "Computational Fluid Dynamic Using Parallel Loop of Multi-Cores Processor." Applied Mechanics and Materials 493 (January 2014): 80–85. http://dx.doi.org/10.4028/www.scientific.net/amm.493.80.

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Computational Fluid Dynamics (CFD) software is often used to study fluid flow and structures motion in fluids. The CFD normally requires large size of arrays and computer memory and then caused long execution time. However, Innovation of computer hardware such as multi-cores processor provides an alternative solution to improve this programming performance. This paper discussed loop parallelize multi-cores processor for optimization of sequential looping CFD code. This loop parallelize CFD was achieved by applying multi-tasking or multi-threading code into the original CFD code which was developed by one of the authors. The CFD code was developed based on Reynolds Average Navier-Stokes (RANS) method. The new CFD code program was developed using Microsoft Visual Basic (VB) programming language. In the early stage, the whole CFD code was constructed in a sequential flow before it is modified to parallel flow by using VBs multi-threading library. In the comparison, fluid flow around the hull of round-shaped FPSO was selected to compare the performance of both the programming codes. Besides, executed results of this self-developed code such as pressure distribution around the hull were also presented in this paper.

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Yu, Zhenning, and Seng Fat Wong. "The application of computational fluid dynamics simulation technique to ocean boat anti-disturbance tracking controller." International Journal of Advanced Robotic Systems 16, no. 3 (May 1, 2019): 172988141984204. http://dx.doi.org/10.1177/1729881419842045.

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This article presents the verification problem of estimating boat hull damping parameters using the computational fluid dynamics technique. In addition, a Lyapunov-based path control system will be introduced to centify the estimation result. The controller should satisfy the following features: firstly, maintaining that the boat dynamic model which includes path, velocity, and orientation errors are asymptotically stable; secondly, ensuring the actuation is operating normally under the nonlinear hydrodynamic system and actual environment limitation; thirdly, working with the anti-disturbance algorithm which includes a projection update law. The final part of the article introduces the procedure proving that the computational fluid dynamics simulation result and Lyapunov direct method controller are acceptable for the ocean boat nonlinear dynamic system. It is confirmed that the control system simulation can improve computational fluid dynamics technology instead of an actual experiment. It can solve the estimation problem caused by limitations in equipment or funds.

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Mehta, U. B. "Some Aspects of Uncertainty in Computational Fluid Dynamics Results." Journal of Fluids Engineering 113, no. 4 (December 1, 1991): 538–43. http://dx.doi.org/10.1115/1.2926512.

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Uncertainties are inherent in computational fluid dynamics (CFD). These uncertainties need to be systematically addressed and managed. Sources of these uncertainties are identified and some aspects of uncertainty analysis are discussed. Some recommendations are made for quantification of CFD uncertainties. A practical method of uncertainty analysis is based on sensitivity analysis. When CFD is used to design fluid dynamic systems, sensitivity-uncertainty analysis is essential.

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27

Lavanya, D., S. Ragunathan, and N. Jagadeesh. "Computational Fluid Dynamic Analysis of Swirl Vane Gripperd." Asian Journal of Research in Social Sciences and Humanities 6, no. 6 (2016): 1313. http://dx.doi.org/10.5958/2249-7315.2016.00287.2.

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28

Liu, H., C. P. Ellington, K. Kawachi, C. van den Berg, and A. P. Willmott. "A computational fluid dynamic study of hawkmoth hovering." Journal of Experimental Biology 201, no. 4 (February 15, 1998): 461–77. http://dx.doi.org/10.1242/jeb.201.4.461.

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A computational fluid dynamic (CFD) modelling approach is used to study the unsteady aerodynamics of the flapping wing of a hovering hawkmoth. We use the geometry of a Manduca sexta-based robotic wing to define the shape of a three-dimensional 'virtual' wing model and 'hover' this wing, mimicking accurately the three-dimensional movements of the wing of a hovering hawkmoth. Our CFD analysis has established an overall understanding of the viscous and unsteady flow around the flapping wing and of the time course of instantaneous force production, which reveals that hovering flight is dominated by the unsteady aerodynamics of both the instantaneous dynamics and also the past history of the wing. <P> A coherent leading-edge vortex with axial flow was detected during translational motions of both the up- and downstrokes. The attached leading-edge vortex causes a negative pressure region and, hence, is responsible for enhancing lift production. The axial flow, which is derived from the spanwise pressure gradient, stabilises the vortex and gives it a characteristic spiral conical shape. <P> The leading-edge vortex created during previous translational motion remains attached during the rotational motions of pronation and supination. This vortex, however, is substantially deformed due to coupling between the translational and rotational motions, develops into a complex structure, and is eventually shed before the subsequent translational motion. <P> Estimation of the forces during one complete flapping cycle shows that lift is produced mainly during the downstroke and the latter half of the upstroke, with little force generated during pronation and supination. The stroke plane angle that satisfies the horizontal force balance of hovering is 23.6 degrees , which shows excellent agreement with observed angles of approximately 20-25 degrees . The time-averaged vertical force is 40 % greater than that needed to support the weight of the hawkmoth.

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Addepalli, Pranay, and S. Vincent. "Computational Fluid Dynamic Analysis on Green Building Materials." Journal of Physics: Conference Series 1276 (August 2019): 012056. http://dx.doi.org/10.1088/1742-6596/1276/1/012056.

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Wang, Li Ying, and De Hua Wei. "Application of Computational Fluid Dynamic for Hydraulic Design." Applied Mechanics and Materials 121-126 (October 2011): 578–82. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.578.

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This paper studies the modern design methods of hydraulic machinery by the use of Computational Fluid Dynamic (CFD), the design method not only makes up the shortcomings of the traditional design method, but also can be compared on the computer which can save a lot of trial and testing costs in new product development. Form the velocity distribution and pressure distribution of turbine, the example shows, the simulated flow field using CFD software is in agreement with the actual condition and it basically meets the requirements of design.

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Swadchaipong, N., and T. Srisurat. "Computational Fluid Dynamic Studies of Autothermal Spiral Reactor." IOP Conference Series: Materials Science and Engineering 736 (March 5, 2020): 042011. http://dx.doi.org/10.1088/1757-899x/736/4/042011.

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32

Crespo, Antonio. "Computational Fluid Dynamic Models of Wind Turbine Wakes." Energies 16, no. 4 (February 10, 2023): 1772. http://dx.doi.org/10.3390/en16041772.

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Wind energy is one of the main sources of renewable energy that does not contaminate and contributes significantly to the reduction of burning fossil fuels that originate global warming by creating greenhouse gasses; therefore, a significant part the electric energy produced presently is of wind origin, and this share is expected to become more important in the next years [...]

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Zarei, Taleb, Rahbar Rahimi, and Mortaza Zivdar. "Computational fluid dynamic simulation of MVG tray hydraulics." Korean Journal of Chemical Engineering 26, no. 5 (September 2009): 1213–19. http://dx.doi.org/10.1007/s11814-009-0214-7.

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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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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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Zheng, Jian, Chang Sheng Zhou, and Xiong Chen. "The Application of MATLAB in Computational Fluid Dynamic Visualization Processing." Applied Mechanics and Materials 117-119 (October 2011): 619–23. http://dx.doi.org/10.4028/www.scientific.net/amm.117-119.619.

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Computational fluid dynamics (CFD) is an important applied research area of scientific computation visualization. Aiming at the difficult for three-dimensional display in the post-processing of wrap-around fins’ flowfield with commercial CFD software, the visualization techniques of CFD were investigated. And a visualization program was compiled using by powerful graphic processing software of MATLAB. The results showed the visualization program can display three-dimension characteristic of pressure, temperature etc. on the surface of wrap-around fins accurately and visually.

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Luo, Min, Ting Ting Xu, Ting Ting Zhao, Wen Xin Zhao, and Ju Bao Liu. "Dynamic Analysis of Rotary Drillstring in Horizontal Well Based on the Fluid-Structure Interaction." Applied Mechanics and Materials 385-386 (August 2013): 146–49. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.146.

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With the development of drilling technology, rotary drillstring not only produces random multi-directional collisions with the inner wall of pipe, also couples with the inner and outer annular fluids. This results in a complex system of nonlinear fluid-structure interaction. In the paper, structure and mode of operation about rotary drillstring are considered, the equations of the structure dynamics, fluid equation of continuity and momentum equation are coupled. The three-dimensional numerical model and computational method is established about the fluidstructure interaction dynamic analysis of rotary drillstring. Take the rotary drillstring and inner and outer fluids as a research object, dynamic analysis of the rotary drillstring is finished, considering the fluid-structure coupled characteristics and compare the air medium, the results show the effect of fluidstructure interaction. It can provide the feasible method for the study of the string in the oil drilling and production engineering and conduct the development of drillstring dynamics in horizontal well drilling engineering.

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Urreta, Harkaitz, Gorka Aguirre, Pavel Kuzhir, and Luis Norberto Lopez de Lacalle. "Actively lubricated hybrid journal bearings based on magnetic fluids for high-precision spindles of machine tools." Journal of Intelligent Material Systems and Structures 30, no. 15 (July 13, 2019): 2257–71. http://dx.doi.org/10.1177/1045389x19862358.

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The research work reported in this article is focused on the use of magnetic fluids as active lubricant for improving the performance of hybrid journal bearings, with application to high-precision machine tools. Prototype design was optimized following numerical computation of Reynolds equation and computational fluid dynamics calculations, in both cases with Herschel–Bulkley model for the magnetorheological fluid. This fluid (LORD Corp. MRF 122-2ED) was experimentally characterized in detail. The improvement of the hydrodynamic effect in journal bearings was demonstrated with 50% higher load capacity and stiffness, mainly at half of shaft eccentricity 0.4 < ε < 0.7. Active hydrostatic lubrication achieved quasi-infinite stiffness within working limits (load and speed), at low frequencies. For high dynamic response, the active lubrication based on magnetorheological valves did not show good response. The feasibility of using magnetic fluids for developing high performance machine tool spindles and the validity of the simulation models was demonstrated experimentally.

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Liu, Long, Hongda Li, Haisong Ang, and Tianhang Xiao. "Numerical investigation of flexible flapping wings using computational fluid dynamics/computational structural dynamics method." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 232, no. 1 (October 6, 2016): 85–95. http://dx.doi.org/10.1177/0954410016671343.

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A fluid–structure interaction numerical simulation was performed to investigate the flow field around a flexible flapping wing using an in-house developed computational fluid dynamics/computational structural dynamics solver. The three-dimensional (3D) fluid–structure interaction of the flapping locomotion was predicted by loosely coupling preconditioned Navier–Stokes solutions and non-linear co-rotational structural solutions. The computational structural dynamic solver was specifically developed for highly flexible flapping wings by considering large geometric non-linear characteristics. The high fidelity of the developed methodology was validated by benchmark tests. Then, an analysis of flexible flapping wings was carried out with a specific focus on the unsteady aerodynamic mechanisms and effects of flexion on flexible flapping wings. Results demonstrate that the flexion will introduce different flow fields, and thus vary thrust generation and pressure distribution significantly. In the meanwhile, relationship between flapping frequency and flexion plays an important role on efficiency. Therefore, appropriate combination of frequency and flexion of flexible flapping wings provides higher efficiency. This study may give instruction for further design of flexible flapping wings.

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Chandra Murty, MSR, PK Sinha, and D. Chakraborty. "Effect of rocket exhaust of canisterized missile on adjoining launching system." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 11 (August 8, 2016): 2085–97. http://dx.doi.org/10.1177/0954410016662064.

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Transient numerical simulations are carried out to study missile motion in a vertical launch system and to estimate the effect of missile exhaust in the adjoining launch structure. Three-dimensional Navier–Stokes equations along with k–ɛ turbulence model and species transport equations are solved using commercial computational fluid dynamics software. Dynamic grid movement is adopted and one degree of freedom trajectory equations are integrated with the computational fluid dynamic solver to obtain the instantaneous position of the missile. Multi-zone grid generation approach with sliding interface method through layering technique is adopted to address the changing boundary problem. The computational methodology is applied to study the missile motion in a scale-down test configuration as well as in the flight condition. The computations capture all essential flow features of test and flight conditions in active cell as well as in adjacent cells. Parametric studies are conducted to study the effect geometrical features and measurement uncertainty in the input data. Computed pressures in the adjacent cells in the launch system match better (∼12%) with the experimental and flight results compared to distant cells.

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HE, JIANKANG, DICHEN LI, YAXIONG LIU, XIAO LI, SHANGLONG XU, and BINGHENG LU. "COMPUTATIONAL FLUID DYNAMICS FOR TISSUE ENGINEERING APPLICATIONS." Journal of Mechanics in Medicine and Biology 11, no. 02 (April 2011): 307–23. http://dx.doi.org/10.1142/s0219519411004046.

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Hydrodynamic cellular environment plays an important role in translating engineered tissue constructs into clinically useful grafts. However, the cellular fluid dynamic environment inside bioreactor systems is highly complex and it is normally impractical to experimentally characterize the local flow patterns at the cellular scale. Computational fluid dynamics (CFD) has been recognized as an invaluable and reliable alternative to investigate the complex relationship between hydrodynamic environments and the regeneration of engineered tissues at both the macroscopic and microscopic scales. This review describes the applications of CFD simulations to probe the hydrodynamic environment parameters (e.g., flow rate, shear stress, etc.) and the corresponding experimental validations. We highlight the use of CFD to optimize bioreactor design and scaffold architectures for improved ex-vivo hydrodynamic environments. It is envisioned that CFD could be used to customize specific hydrodynamic cellular environments to meet the unique requirements of different cell types in combination with advanced manufacturing techniques and finally facilitate the maturation of tissue-engineered constructs.

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Manescu (Paltanea), Veronica, Gheorghe Paltanea, Aurora Antoniac, Lucian Gheorghe Gruionu, Alina Robu, Marius Vasilescu, Stefan Alexandru Laptoiu, et al. "Mechanical and Computational Fluid Dynamic Models for Magnesium-Based Implants." Materials 17, no. 4 (February 8, 2024): 830. http://dx.doi.org/10.3390/ma17040830.

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Today, mechanical properties and fluid flow dynamic analysis are considered to be two of the most important steps in implant design for bone tissue engineering. The mechanical behavior is characterized by Young’s modulus, which must have a value close to that of the human bone, while from the fluid dynamics point of view, the implant permeability and wall shear stress are two parameters directly linked to cell growth, adhesion, and proliferation. In this study, we proposed two simple geometries with a three-dimensional pore network dedicated to a manufacturing route based on a titanium wire waving procedure used as an intermediary step for Mg-based implant fabrication. Implant deformation under different static loads, von Mises stresses, and safety factors were investigated using finite element analysis. The implant permeability was computed based on Darcy’s law following computational fluid dynamic simulations and, based on the pressure drop, was numerically estimated. It was concluded that both models exhibited a permeability close to the human trabecular bone and reduced wall shear stresses within the biological range. As a general finding, the proposed geometries could be useful in orthopedics for bone defect treatment based on numerical analyses because they mimic the trabecular bone properties.

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Wu, Bo, Xiao Dong Yu, Xue Mei Chang, and Chao Yin. "Influence of Working Parameters on Dynamic Pressure Effect of Heavy Constant Flow Hydrostatic Center Rest." Applied Mechanics and Materials 274 (January 2013): 82–86. http://dx.doi.org/10.4028/www.scientific.net/amm.274.82.

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In order to increase the working performance of a heavy constant flow hydrostatic center rest, a theoretical study concerning the lubricating oil film dynamic pressure effect of the heavy constant flow hydrostatic center rest is described. The Computational Fluid Dynamics and the Finite Volume Method have been used to compute numerically the static pressure field and the total pressure field of the lubricating oil film. The influences of spindle rotating rate, lubricating oil dynamic viscosity and inlet flow rate on the lubricating oil film dynamic pressure effect of the heavy constant flow hydrostatic center rest were analyzed based on the computational fluid dynamics and lubrication theory, and the influencing laws were revealed. By means of this method, the reasonable data can be provided for reasonably controlling dynamic pressure and structure optimal design of the heavy constant flow hydrostatic center rest.

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Rashia Begum, S., and G. Arumaikkannu. "Computational Fluid Dynamic Analysis of Customised Tibia Bone Scaffold." Applied Mechanics and Materials 330 (June 2013): 698–702. http://dx.doi.org/10.4028/www.scientific.net/amm.330.698.

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The function of Tissue Engineering Bone Scaffold lies in Mechanical and Fluid dynamic behaviour to mimic the exact bone tissue. The fluid dynamic characteristic in a porous scaffold plays a vital role for cell viability and tissue regeneration. The Wall Shear Stress of fluid in a porous scaffold gives the cell proliferation. This paper presents, the patients CT scan data in DICOM format is exported into MIMICS software to convert the 2D images into 3D IGES data. The customised bone scaffolds with pore size of 0.6mm in diameter and distance between adjacent edges of pores from 0.6mm to 1mm are created in modeling software (SOLIDWORKS 2011) and porosities of five customised bone scaffolds are determined. The above customised bone scaffolds are analysed in CFD software (ANSYS CFX) for the fluid density 1000 kg/m3 and viscosity 8.2 ×10-4 kgm-1 s-1. The estimated Wall Shear Stress (WSS) at fluid velocities from 0.2mm/s to 1mm/s lies in the range of 9.54 x 10 -4 Pa to 38.3 x 10 -4 Pa.

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Malik, M. Rizwan, Tie Lin Shi, Zi Rong Tang, and Shi Yuan Liu. "Computational Fluid Dynamics (CFD) Based Simulated Study of Multi-Phase Fluid Flow." Defect and Diffusion Forum 307 (December 2010): 1–11. http://dx.doi.org/10.4028/www.scientific.net/ddf.307.1.

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It is critical to understand multiphase flow applications with regard to dynamic behavior. In this paper, a systematic approach to the study of these applications is pursued, leading to separated flows comprising the effects of free surface flows and wetting. For the first time, wetting phenomena (three wetting regimes such as no wetting, 90 º wetting angle and absolute wetting) are added in the separated flow model. Special attention is paid to computational fluid dynamics (CFD) in order to envisage the relationship between complex metallurgical practices such as mass and momentum exchange, turbulence, heat, reaction kinetics and electromagnetic fields. Simulations are performed in order to develop sub-models for studying multiphase flow phenomena at larger scales. The outcomes show that a proper mixture of techniques is valuable for constructing larger-scale models based upon sub-models for recreating the hierarchical structure of a detailed CFD model applicable throughout the process.

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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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Mas-Peiró, Cristina, Fèlix Llovell Ferret, and Oriol Pou Ibar. "Computational Fluid Dynamic study of gas mixtures in a Non-Thermal Plasma reactor for CO2 conversion with Argon as diluent gas." Afinidad. Journal of Chemical Engineering Theoretical and Applied Chemistry 81, no. 601 (February 28, 2024): 58–68. http://dx.doi.org/10.55815/424061.

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CO2 utilization has been an emerging technology of increasing global interest due to its direct impact in limiting greenhouse gas emissions. In this contribution, the fluid dynamic behavior of a CO2 conversion non-thermal plasma (NTP) in a dielectric barrier discharge (DBD) reactor is studied through computational fluid dynamics (CFD) simulations. Calculations are provided in conjunction with experimental results and the thermodynamic characterization of the compounds and mixtures involved. This CFD study utilizes a well-established methodology that allows the optimization of fluid flow with limited computational burden. Firstly, results are presented for an Example Case, in which several variables are studied both at the final iteration as well as across iterations. Secondly, a range of Study Cases, changing the inlet composition and volume rate, are presented. Average velocity is one of the most significant variables to predict the reactor’s yield, while the temperature, density and pressure in the reactor remain, in most cases, almost constant. The resulting CFD computations describe the behavior of the fluids in the reactor in a predictive manner for future experimental results. Limitations in the fluid’s characterization occur due to not explicitly including the plasma reaction, which will be aimed at in future contributions.

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MIYAJI, Koji, and Yu YOSHIDA. "Prediction of Aircraft Dynamic Stability Derivatives Using Time-Spectral Computational Fluid Dynamics." TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 62, no. 6 (2019): 291–98. http://dx.doi.org/10.2322/tjsass.62.291.

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Yang, Wenjing, Yundong Wang, Jianfeng Chen, and Weiyang Fei. "Computational fluid dynamic simulation of fluid flow in a rotating packed bed." Chemical Engineering Journal 156, no. 3 (February 2010): 582–87. http://dx.doi.org/10.1016/j.cej.2009.04.013.

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Ma, Wei, Yanhui Wang, Shuxin Wang, Gege Li, and Shaoqiong Yang. "Optimization of hydrodynamic parameters for underwater glider based on the electromagnetic velocity sensor." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 14 (March 31, 2019): 5019–32. http://dx.doi.org/10.1177/0954406219840372.

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With the development of autonomous underwater glider technology, the gliders integrated with multitype sensors have been widely applied in the ocean scientific research. Among those sensors, electromagnetic velocity sensor provides a new way to acquire the unknown parameters of Petrel‐II glider. Based on the analysis of computational fluid dynamics, the optimized layout position and distance of electromagnetic velocity sensor is determined. Petrel‐II integrated with electromagnetic velocity sensor conducted a series of sea‐trials to obtain sailing data under different attitudes. By combining sea‐trial data with dynamic model of deepsea glider, the relationships between pitch, hydrodynamic forces/moment, and angle of attack are yielded. The buoyance model in the dynamics is validated by suspension experiment of glider. The dynamic simulations in the longitudinal plane with different hydrodynamic parameters obtained by, that is, optimization with electromagnetic velocity sensor, data statistical analysis combining computational fluid dynamics and parameter identification, and calculation by computational fluid dymanics, are conducted and compared with experimental results to verify validity and accuracy of those parameters. Results show that hydrodynamic parameters optimized by integrating electromagnetic velocity sensor on the glider can exhibit dynamic behavior more accurately. This work contributes to the calculation of vertical water velocities from glider and theoretical research of glider.

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