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Journal articles on the topic 'Euler-Lagrange simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Mahmadi, Kamal, and Nicolas Aquelet. "Euler–Lagrange simulation of high pressure shock waves." Wave Motion 54 (April 2015): 28–42. http://dx.doi.org/10.1016/j.wavemoti.2014.11.009.

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2

Stiehm, Michael, Carolin Wüstenhagen, Niels Grabow, and Klaus-Peter Schmitz. "Transient Euler-Lagrange/DEM simulation of stent thrombosis." Current Directions in Biomedical Engineering 2, no. 1 (2016): 297–300. http://dx.doi.org/10.1515/cdbme-2016-0066.

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AbstractStent implantation is the treatment of choice for cardiovascular diseases. By introduction of biodegradable thick strut stents investigations of thrombosis formation is one focus of research. This study deals with a transient Euler-Lagrange/DEM approach to simulate the flow field, platelet movement and clotting. The recirculation zones prolong particle residence time. As a result, the vicinity of stent struts shown a particularly higher risk for stent thrombosis.

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3

Weber, Andreas, and Hans-Jörg Bart. "Flow Simulation in a 2D Bubble Column with the Euler-lagrange and Euler-euler Method." Open Chemical Engineering Journal 12, no. 1 (2018): 1–13. http://dx.doi.org/10.2174/1874123101812010001.

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Object: Bubbly flows, as present in bubble column reactors, can be simulated using a variety of simulation techniques. It is presented, how Computational Fluid Dynamics (CFD) methods are used to simulate a pseudo 2D bubble column using Euler-Lagrange (EL) and Euler-Euler (EE) techniques. Method: The presented EL method uses the open access software OpenFOAM to solve bubble dynamics with bubble interactions computed via Monte Carlo methods. The estimated bubble size distribution and the predicted hold-up are compared with experimental data and other simulative EE work with a reasonable consensu

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4

Sokolichin, A., G. Eigenberger, A. Lapin, and A. Lübert. "Dynamic numerical simulation of gas-liquid two-phase flows Euler/Euler versus Euler/Lagrange." Chemical Engineering Science 52, no. 4 (1997): 611–26. http://dx.doi.org/10.1016/s0009-2509(96)00425-3.

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5

WANG, Zhilong, Tong ZHAO, Kai LIU, and Masahiro TAKEI. "Euler-Lagrange Simulation of Fine Particle Discharge Rate under Accelerated Air Ventilation Circumstances." JAPANESE JOURNAL OF MULTIPHASE FLOW 28, no. 3 (2014): 355–65. http://dx.doi.org/10.3811/jjmf.28.355.

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6

Dhotre, M. T., N. G. Deen, B. Niceno, Z. Khan, and J. B. Joshi. "Large Eddy Simulation for Dispersed Bubbly Flows: A Review." International Journal of Chemical Engineering 2013 (2013): 1–22. http://dx.doi.org/10.1155/2013/343276.

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Large eddy simulations (LES) of dispersed gas-liquid flows for the prediction of flow patterns and its applications have been reviewed. The published literature in the last ten years has been analysed on a coherent basis, and the present status has been brought out for the LES Euler-Euler and Euler-Lagrange approaches. Finally, recommendations for the use of LES in dispersed gas liquid flows have been made.

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7

May, Jan, Falah Alobaid, Alexander Stroh, Alexander Daikeler, Jochen Ströhle, and Bernd Epple. "Euler‐Lagrange‐Modell zur Simulation des Carbonate‐Looping‐Prozesses." Chemie Ingenieur Technik 92, no. 5 (2020): 648–58. http://dx.doi.org/10.1002/cite.201900159.

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8

Da Silva, Leonia M. F. B., Ali Warsito, and Andreas Christian Louk. "ANALISA KOMPUTASI PERGERAKAN ORBIT BUMI TERHADAP MATAHARI BERDASARKAN HUKUM KEPLER MEMANFAATKAN WOLFRAM MATHEMATICA." Jurnal Fisika : Fisika Sains dan Aplikasinya 4, no. 1 (2019): 17–22. http://dx.doi.org/10.35508/fisa.v4i1.1431.

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Sebuah simulasi yang menggambarkan lintasan orbit benda langit telah dilakukan dengan menggunakan Wolfram Mathematica versi 10.3. Penyelesaian persamaan diferensial dalam kasus orbit bumi terhadap matahari yang bergerak mengikuti gerak elipsoidal diselesaikan dengan persamaan Euler-Lagrange. Penelitian ini bertujuan untuk membuktikan hukum Kepler II dalam kasus orbit benda langit berbentuk elips yang meliputi kecepatan dan posisi setiap saat. Dari hasil simulasi metode Euler yang telah dilakukan dapat dilihat pada notebook mathematica berupa grafik orbit bumi berbentuk elips pada setiap percep

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9

Kozic, Mirko, Slavica Ristic, Mirjana Puharic, and Boris Katavic. "Numerical simulation of multiphase flow in ventilation mill and channel with louvers and centrifugal separator." Thermal Science 15, no. 3 (2011): 677–89. http://dx.doi.org/10.2298/tsci101203018k.

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This paper presents the results of numerical flow simulation in ventilation mill of Kostolac B power plant, where louvers and centrifugal separator with adjustable blade angle are used. Numerical simulations of multiphase flow were performed using the Euler-Euler and Euler-Lagrange approach of ANSYS FLUENT software package. The results of numerical simulations are compared with measurements in the mill for both types of separators. Due to very complex geometry and large number of the grid cells, convergent solution with the Eulerian model could not be obtained. For this reason the mixture mode

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10

Murray, J. J., and C. P. Neuman. "Linearization and Sensitivity Models of the Newton-Euler Dynamic Robot Model." Journal of Dynamic Systems, Measurement, and Control 108, no. 3 (1986): 272–76. http://dx.doi.org/10.1115/1.3143779.

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Within the framework of the Newton-Euler formulation of robot dynamics, linearized and trajectory sensitivity models are constructed about a nominal trajectory. The approach illustrates the property that linearization of the O(N) recursive Newton-Euler formulation leads to O(N) recursive algorithms. These algorithms are conceived for simulation, parameter identification, and real-time control applications which require the numerical evaluation of the linearized or trajectory sensitivity models. The O(N) linearized recursive algorithms complement their O(N5) linearized Lagrange (Lagrange-Euler)

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11

Song, Juan, and Shu Cai Li. "Study on Numerical Simulation of Explosion in Soil Based on Fluid-Solid Coupling Arithmetic." Applied Mechanics and Materials 580-583 (July 2014): 2916–19. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.2916.

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Numerical simulations play a significant role in explosion in a mass of soil due to an underground explosive. Common methods available in hydrocode for fluid-solid coupling process are contact algorithm, Lagrange algorithm, and Arbitrary Lagrange-Euler (ALE) algorithm. A numerical simulation of explosion process with concentrated charge in a mass of soil was carried out by using three methods in this paper. The dynamic response of soil medium, the formation and development law of explosion cavity and the explosion wave propagation law in soil were simulated. Merits and drawbacks of three diffe

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12

Pereira, Elcio Fernando, and Luiz Mário Nelson Gois. "Simulation of un industrial waste treatment tank." Research, Society and Development 9, no. 4 (2020): e180942542. http://dx.doi.org/10.33448/rsd-v9i4.2542.

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The objective of the present work was to evaluate the operation of an industrial sedimentation tank used in the separation of solid waste from the petrochemical industry. The depth data were obtained through a “interface float”, while the diameters and the positions of the particles through the CFD simulation. The computational fluid dynamics simulator (FLUENT 6.3.26) was used to perform a multiphase simulation using the Euler-Lagrange approach and was used to determine the particles trajectories and cotours of solids accumulated in the bottom of the tank. This allowed a better understanding o

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13

Aquelet, Nicolas, and Jason Wang. "Porous parachute modelling with an Euler-Lagrange coupling." European Journal of Computational Mechanics 16, no. 3-4 (2007): 385–99. http://dx.doi.org/10.3166/remn.16.385-399.

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14

Weber, A., and H. J. Bart. "CFD-Simulation von Blasenströmungen mittels Euler-Lagrange-Ansatz und stochastischer Modellierung." Chemie Ingenieur Technik 87, no. 8 (2015): 1044–45. http://dx.doi.org/10.1002/cite.201550037.

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15

Tao, Yujia, Xiulan Huai, Ziyi Guo, and Ran Yin. "Numerical simulation of spray performance based on the Euler-Lagrange approach." Journal of Thermal Science 18, no. 1 (2009): 91–96. http://dx.doi.org/10.1007/s11630-009-0091-8.

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16

Zhang, Bai Le, Jiu He Wang, and Feng Jiao Zhao. "Study on Passivity-Based Control of TNPC PV Grid-Connected Inverter." Applied Mechanics and Materials 571-572 (June 2014): 1000–1005. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1000.

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Euler-Lagrange (Euler-Lagrange, EL) mathematical model was established according to the topology of TNPC (T-type Neutral Point Clamped) PV grid-connected inverter. Based on the mathematical models and passivity-based control theory, the approach called injecting damping was adopted to design the passivity-based controller of the inverter. The passivity-based controller can decoupled-qaxis current at AC side of the grid and achieve unity power factor, the total harmonic distortion of grid-connected current is low, and the passivity-based controller also make the inverter have good dynamic and s

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17

Aquelet, Nicolas, and Benjamin Tutt. "Euler-Lagrange coupling for porous parachute canopy analysis." International Journal of Multiphysics 1, no. 1 (2007): 53–68. http://dx.doi.org/10.1260/175095407780130517.

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18

Deen, N. G., M. A. Van Der Hoef, M. Van Sint Annaland, and J. A. M. Kuipers. "Numerical simulation of dense gas-particle flows using the Euler Lagrange approach." Progress in Computational Fluid Dynamics, An International Journal 7, no. 2/3/4 (2007): 152. http://dx.doi.org/10.1504/pcfd.2007.013007.

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19

Zwick, David, and S. Balachandar. "A scalable Euler–Lagrange approach for multiphase flow simulation on spectral elements." International Journal of High Performance Computing Applications 34, no. 3 (2019): 316–39. http://dx.doi.org/10.1177/1094342019867756.

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Multiphase flow can be difficult to simulate with high accuracy due to the wide range of scales associated with various multiphase phenomena. These scales may range from the size of individual particles to the entire domain of interest. Traditionally, large scale systems can only be simulated using averaging approaches that filter out the locations of individual particles. In this work, the Euler–Lagrange method is used to simulate large-scale dense particle systems in which each individual particle is tracked. In order to accomplish this, the highly scalable spectral element code nek5000 has

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20

Marocco, Luca, and Fabio Inzoli. "Multiphase Euler–Lagrange CFD simulation applied to Wet Flue Gas Desulphurisation technology." International Journal of Multiphase Flow 35, no. 2 (2009): 185–94. http://dx.doi.org/10.1016/j.ijmultiphaseflow.2008.09.005.

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21

Liu, Zhen, Xiaoling Wang, Zhengfei Cheng, Ruirui Sun, and Aili Zhang. "Simulation of construction ventilation in deep diversion tunnels using Euler–Lagrange method." Computers & Fluids 105 (December 2014): 28–38. http://dx.doi.org/10.1016/j.compfluid.2014.09.016.

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22

Atanacković, T. M., S. Konjik, and S. Pilipović. "Variational problems with fractional derivatives: Euler–Lagrange equations." Journal of Physics A: Mathematical and Theoretical 41, no. 9 (2008): 095201. http://dx.doi.org/10.1088/1751-8113/41/9/095201.

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23

Wang, Hongjun, Zhuoqun Zhao, and Tao Li. "Networked Euler-Lagrangian Systems Synchronization under Time-Varying Communicating Delays." Information 10, no. 1 (2019): 14. http://dx.doi.org/10.3390/info10010014.

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This paper investigates the problem of the task-space synchronization control for networked Euler-Lagrange systems. In the considered systems, there are time-varying delays existing in the networking links and every subsystem contains uncertainties in both kinematics and dynamics. By adding new time-varying coupling gains, the negative effects caused by time-varying delays are eliminated. Moreover, to address the difficulties of parametric calibration, an adaptively synchronous protocol and adaptive laws are designed to online estimate kinematics and dynamic uncertainties. Through a Lyapunov c

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24

Masterov, M. V., M. W. Baltussen, and J. A. M. Kuipers. "Numerical simulation of a square bubble column using Detached Eddy Simulation and Euler–Lagrange approach." International Journal of Multiphase Flow 107 (October 2018): 275–88. http://dx.doi.org/10.1016/j.ijmultiphaseflow.2018.06.006.

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25

Tang, Qi, Jiu He Wang, and Jing Wei Hu. "Passivity-Based Controller of Tri-State Boost Converter." Applied Mechanics and Materials 571-572 (June 2014): 944–49. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.944.

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A novel boost converter named tri-state boost converter is introduced in this paper. According to the operation principle of the tri-state boost converter, the Euler-Lagrange model is set up. Based on the passivity-based control theory and Euler-Lagrange model, a passivity-based controller of the tri-state boost converter is designed. By damping injecting, the input current and output voltage of the tri-state boost converter can reach the desired equilibrium values rapidly. The speed of the tri-state boost converter to reach the desired equilibrium values varies when the damping values changes

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26

van Wachem, Berend, Thomas Curran, and Fabien Evrard. "Fully Correlated Stochastic Inter-Particle Collision Model for Euler–Lagrange Gas–Solid Flows." Flow, Turbulence and Combustion 105, no. 4 (2020): 935–63. http://dx.doi.org/10.1007/s10494-020-00111-7.

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AbstractIn Lagrangian stochastic collision models, a fictitious particle is generated to act as a collision partner, with a velocity correlated to the velocity of the real colliding particle. However, most often, the fluid velocity seen by this fictitious particles is not accounted for in the generation of the fictitious particle velocity, leading to a de-correlation between the fictitious particle velocity and the local fluid velocity, which, after collision, leads to an unrealistic de-correlation of the real particle velocity and the fluid velocity as seen by the particle. This de-correlatio

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27

BALEANU, DUMITRU, and SAMI I. MUSLIH. "FRACTIONAL EULER-LAGRANGE AND FRACTIONAL HAMILTON EQUATIONS FOR SUPER SYMMETRIC CLASSICAL MODEL." Fractals 15, no. 04 (2007): 379–83. http://dx.doi.org/10.1142/s0218348x07003642.

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Fractional Euler-Lagrange equations were investigated in the presence of the elements of Berezin algebra. The super fractional Hessian was defined and the fractional Hamiltonian of the super symmetric classical model was constructed.

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28

Yang, Ming Jin, Xi Wen Li, Tie Lin Shi, and Shu Hong Huang. "Foundations and Advances of Cohesive Mixing." Advanced Materials Research 287-290 (July 2011): 2061–65. http://dx.doi.org/10.4028/www.scientific.net/amr.287-290.2061.

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Fluid flow is mathematically expressed as mapping. A dynamic system is strong mixing under certain conditions. The cohesive mixing flow is often in laminar state. By introducing chaos into a laminar mixing system, the mixing performance can be effectively improved. Residence Time Distribution, Lyapunov Exponent, Decay of Correlation, and Mixture Homogeneity are often employed to evaluate the mixing performance of cohesive mixing. New measuring techniques of flow field study, including Particle Tracking Velocimetry, Particle Image Velocimetry, Planar Laser Induced Fluorescence, etc., are quite

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29

Tang, Guo Zhi, Yuan Ren, and Zhou Wang. "Localization Study of a Cold Atom BEC in Two-Dimensional Bessel Optical Lattices." Key Engineering Materials 787 (November 2018): 105–12. http://dx.doi.org/10.4028/www.scientific.net/kem.787.105.

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In order to investigate the stability and dynamics properties of a cold atom Bose-Einstein Condensate (BEC) in two-dimensional Bessel optical lattices, the stability condition of the system is analyzed and the corresponding Gross-pitaevskii equation (GPE) is solved in this paper by time-dependent variational method and numerical simulation. Firstly, the Euler-Lagrange equation containing the parameters describing the system stability and the effective potential energy needed by the variational analysis method to analyze the system stability is obtained by using the adjustable exponent Gaussian

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30

Rosa, Muhammad Ridho. "Leader–Follower Synchronization of Uncertain Euler–Lagrange Dynamics with Input Constraints." Aerospace 7, no. 9 (2020): 127. http://dx.doi.org/10.3390/aerospace7090127.

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This paper addresses the problem of leader–follower synchronization of uncertain Euler–Lagrange systems under input constraints. The problem is solved in a distributed model reference adaptive control framework that includes positive μ-modification to address input constraints. The proposed design has the distinguishing features of updating the gains to synchronize the uncertain systems and of providing stable adaptation in the presence of input saturation. By using a matching condition assumption, a distributed inverse dynamics architecture is adopted to guarantee convergence to common dynami

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31

Barker, Blake, Jeffrey Humpherys, Gregory Lyng, and Kevin Zumbrun. "Euler Versus Lagrange: The Role of Coordinates in Practical Evans-Function Computations." SIAM Journal on Applied Dynamical Systems 17, no. 2 (2018): 1766–85. http://dx.doi.org/10.1137/17m113770x.

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32

Oevermann, Michael, Stephan Gerber, and Frank Behrendt. "Euler–Lagrange/DEM simulation of wood gasification in a bubbling fluidized bed reactor." Particuology 7, no. 4 (2009): 307–16. http://dx.doi.org/10.1016/j.partic.2009.04.004.

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33

Szabo, Peter, and Ole Hassager. "Simulation of free surfaces in 3-D with the arbitrary Lagrange-Euler method." International Journal for Numerical Methods in Engineering 38, no. 5 (1995): 717–34. http://dx.doi.org/10.1002/nme.1620380502.

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34

SZABO, P., O. HASSAGER, and H. K. RASMUSSEN. "SIMULATION OF FREE SURFACES IN 3D WITH THE ARBITRARY LAGRANGE EULER METHOD: ERRATUM." Communications in Numerical Methods in Engineering 13, no. 6 (1997): 511–13. http://dx.doi.org/10.1002/(sici)1099-0887(199706)13:6<511::aid-cnm66>3.0.co;2-q.

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35

Shams, E., J. Finn, and S. V. Apte. "A numerical scheme for Euler-Lagrange simulation of bubbly flows in complex systems." International Journal for Numerical Methods in Fluids 67, no. 12 (2010): 1865–98. http://dx.doi.org/10.1002/fld.2452.

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36

Chrigui, Mouldi, Ammar Hidouri, Amsini Sadiki, and Johannes Janicka. "Unsteady Euler/Lagrange simulation of a confined bluff-body gas–solid turbulent flow." Fluid Dynamics Research 45, no. 5 (2013): 055501. http://dx.doi.org/10.1088/0169-5983/45/5/055501.

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37

Saffari, Hamid, and S. M. Hosseinnia. "Two-phase Euler-Lagrange CFD simulation of evaporative cooling in a Wind Tower." Energy and Buildings 41, no. 9 (2009): 991–1000. http://dx.doi.org/10.1016/j.enbuild.2009.05.006.

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38

Yang, Xinghao, Mark-Patrick Mühlhausen, and Jochen Fröhlich. "Interpolation methods for two-way coupled Euler-Lagrange simulation of finite-size bubbles." Chemical Engineering Science 238 (July 2021): 116566. http://dx.doi.org/10.1016/j.ces.2021.116566.

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39

Longatte, E., Z. Bendjeddou, and M. Souli. "Application of Arbitrary Lagrange Euler Formulations to Flow-Induced Vibration Problems." Journal of Pressure Vessel Technology 125, no. 4 (2003): 411–17. http://dx.doi.org/10.1115/1.1613950.

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Most classical fluid force identification methods rely on mechanical structure response measurements associated with convenient data processes providing turbulent and fluid-elastic forces responsible for possible vibrations and damage. These techniques provide good results; however, they often involve high costs as they rely on specific modelings fitted with experimental data. Owing to recent improvements in computational fluid dynamics, numerical simulation of flow-induced structure vibration problems is now practicable for industrial purposes. As far as flow structure interactions are concer

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40

Hu, Lili, Xinyong Wang, and Hongmin Li. "Distributed consensus of a class of networked nonlinear systems by non-uniform sampling with probabilistic transmission delays and its application to two-link manipulators." Transactions of the Institute of Measurement and Control 40, no. 11 (2017): 3314–22. http://dx.doi.org/10.1177/0142331217707368.

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This paper investigates the primary problem of distributed consensus for Euler–Lagrange systems networked by using non-uniform sampling information with probabilistic transmission delay. In a real-world application, the information is likely to be exchanged in a discrete-time interval manner. Employing sampled-data information can save the energy cost and reduce the communication network burden. For the reasons given above, sampling control is applied in this paper. Meanwhile, we focus on the study of non-uniform sampling information exchanges in the communication network which is described in

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41

El MARAGHY, W. H., H. A. El MARAGHY, and A. IBRAHIM. "BONDGRAPH MODELLING OF ROBOT DYNAMICS." Transactions of the Canadian Society for Mechanical Engineering 13, no. 4 (1989): 123–32. http://dx.doi.org/10.1139/tcsme-1989-0019.

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Euler-Lagrange and Newton-Euler dynamic modelling become very involved and the equations quite complex even for a robot of few axes. For robot models, the bondgraph approach provides several advantages such as explicit bondgraph representation of the robot physical parameters and does not involve any complex equation writing or matrix inversion. In this paper, the use of the bondgraph method for modelling and simulating robot dynamics is presented. To illustrate the technique, a dynamic model for a SCARA robot is derived using bondgraph modelling. The causality conflict arising from the depend

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42

Li, Zhi Chuan, Qi Hu Sheng, Liang Zhang, Zhi Ming Cong, and Jin Jiang. "Numerical Simulation of Blade-Wake Interaction of Vertical Axis Tidal Turbine." Advanced Materials Research 346 (September 2011): 318–23. http://dx.doi.org/10.4028/www.scientific.net/amr.346.318.

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To study the blade-wake interaction of vertical axis tidal turbine (VATT)，particles were placed in the flow field to trace blade wake during numerical simulation. Numerical simulations were conducted utilizing Euler-Lagrange model. In the simulations, the continuous phase was solved by Reynolds-averaged Navier-Stocks(RANS) equation combined with SST turbulence model and the particle trajectories of the dispersed phase were determined by momentum equation. Numerical results of predicting instantaneous blade forces and blade wakes showed good agreement with the test data. The model was also comp

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43

Ivančo, Vladimír, and Martin Orečný. "Modelling a Liquid Material in Drop Test Simulations of a Cask for Liquid Radioactive Waste." Applied Mechanics and Materials 611 (August 2014): 145–55. http://dx.doi.org/10.4028/www.scientific.net/amm.611.145.

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The aim of this paper is the comparison of different material models for the simulation of fluid impact on a cask for transport of radioactive liquid material. Simulated is a 9 m drop test performed according to International Atomic Energy Agency regulations. In order to reduce computational time, proposed is to model the transported fluid as a hypothetic linearly elastic material. This enables us to use less time demanding FE explicit dynamic analysis based on Lagrange formulation only instead of combination of Lagrange and Euler formulations. Compared are the results obtained for three elast

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44

Wang, Kai, Wan Chen Sun, Feng Ming Nie, and Qing Tang Wu. "The Analysis and Simulation for Improved Cutting Process Based on Finite Element Method (FEM) Analysis." Applied Mechanics and Materials 556-562 (May 2014): 4343–46. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4343.

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The paper proposed the practical metal cutting process using FEM to simulate the traditional cutting process, the simulation and the analysis of the results are based on the support of DEFORM-3D finite element software, and the characteristic between Galerkin Algorithm and FEM analysis is also analyzed. Then the paper processed the modeling procedure for FEM using Lagrange and Euler algorithm, the simulation result is then compared to traditional ones and proved to be more efficient and with higher accuracy.

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Yang, Xinghao, Mark-Patrick Mühlhausen, and Jochen Fröhlich. "Efficient simulation of bubble dispersion and resulting interaction." Experimental and Computational Multiphase Flow 3, no. 3 (2020): 152–70. http://dx.doi.org/10.1007/s42757-020-0082-2.

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Abstract In this work, an efficient model for simulating bubble dispersion and coalescence due to turbulence is developed in the Euler-Lagrange framework. The primary liquid phase is solved on the Euler grid with the RANS turbulence model. Bubble motion is computed with the force balance equations. One-way coupling between two phases is assumed and the framework is designed for the computation of disperse bubbly flows at low Eötvös number. The turbulent dispersion of the dispersed phase is reconstructed with the continuous random walk (CRW) model. Bubble-bubble collisions and coalescence are a

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46

Zhang, Heng, and Yan Chao Yin. "Turbulence Numerical Simulation and Particle Track Analysis of Slurry Pump Impeller." Advanced Materials Research 655-657 (January 2013): 336–39. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.336.

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In order to improve the pump wear performance and optimize pump design, the Euler-Lagrange approach is chosen to simulate the flow in the impeller. The fluid phase is treated as a continuum by solving the N-S equations, while the dispersed phase is solved by using Lagrange Method through the calculated flow field. The results show that the reflex appears in the blade inlet of pressure sides in high flow conditions, but appears in the blade inlet of suction sides in low flow conditions, which possibly induce the cavitation erosion. In low flow conditions, reflex and eddies appear in the blade o

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47

Chaudhry, Ahmad Zamir, Guang Pan, and Yao Shi. "Numerical evaluation of the hydrodynamic impact characteristics of the air launched AUV upon water entry." Modern Physics Letters B 34, no. 14 (2020): 2050149. http://dx.doi.org/10.1142/s0217984920501493.

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In this paper, water entry process of air launched AUV is investigated by employing fully coupled finite element method and arbitrary Lagrange–Euler formulation (FEM-ALE) and using penalty coupling technique. Numerical model is established to describe the hydrodynamic characteristics and flow patterns of a high-speed water entry AUV. The effectiveness and accuracy of the numerical simulation are verified quantitatively by the experiments of the earlier study. Selection of suitable advection method and mesh convergence study is carried out during experimental validation process. It is found tha

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Wu, Jian, Qiang Liu, and You Shan Wang. "Finite Element Simulation on Tire Rubber Extrusion Process." Advanced Materials Research 683 (April 2013): 548–51. http://dx.doi.org/10.4028/www.scientific.net/amr.683.548.

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Tires are a key part of the vehicle, mainly constituted by rubber materials. Extrusion is one of the important processes of rubber part, which is critical to the quality of the tire. Therefore, it is necessary to study the extrusion process of rubber material. In this paper, a finite element model of the rubber extrusion process was developed by using the Euler-Lagrange coupling method based on the research on rubber constitutive model. Results indicated that: extrusion expansion phenomenon existed in rubber extrusion process, which was consistent with the reality; rubber extrusion process par

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Furka, Matúš, Martin Klaučo, and Michal Kvasnica. "Stabilization of Furuta Pendulum Using Nonlinear MPC." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 27, no. 45 (2019): 42–48. http://dx.doi.org/10.2478/rput-2019-0024.

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Abstract This paper is devoted to design of a non-linear model predictive controller (NMPC), which will swing-up and stabilize an inverse rotary pendulum known as the Furuta Pendulum. This paper presents a simulation validation of the NMPC strategy using a full-fidelity non-linear mathematical model of the Furuta pendulum obtained from the Euler-Lagrange motion equations. The NMPC strategy was implemented in MATLAB using the MATMPC toolbox.

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Zeng, Y. C., J. P. Yang, and C. W. Yu. "Mixed Euler–Lagrange approach to modeling fiber motion in high speed air flow." Applied Mathematical Modelling 29, no. 3 (2005): 253–61. http://dx.doi.org/10.1016/j.apm.2004.09.007.

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