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Готові списки джерел за темами / Mmodelling and numerical simulation / Статті в журналах

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Статті в журналах з теми "Mmodelling and numerical simulation"

Автор: Grafiati

Опубліковано: 22 лютого 2025

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1

JACIMOVIC, Nenad, Takashi HOSODA, Kiyoshi KISHIDA, and Marko IVETIC. "NUMERICAL SIMULATION OF CONTAMINANT NUMERICAL SIMULATION OF CONTAMINANT." PROCEEDINGS OF HYDRAULIC ENGINEERING 51 (2007): 13–18. http://dx.doi.org/10.2208/prohe.51.13.

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2

MIYAUCHI, Toshio. "Numerical Simulation of Combustion." Tetsu-to-Hagane 80, no. 12 (1994): 871–77. http://dx.doi.org/10.2355/tetsutohagane1955.80.12_871.

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3

Lima Júnior, Édio Pereira, Wendel Rodrigues Miranda, André Luiz Tenório Rezende, and Arnaldo Ferreira. "Numerical Simulation of Impact." International Journal of Innovative Research in Engineering & Management 5, no. 1 (January 2018): 24–29. http://dx.doi.org/10.21276/ijirem.2018.5.1.6.

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4

Sheshenin, S. V., and S. A. Margaryan. "TIRE 3D NUMERICAL SIMULATION." International Journal for Computational Civil and Structural Engineering 1, no. 1 (2005): 33–42. http://dx.doi.org/10.1615/intjcompcivstructeng.v1.i1.40.

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5

SHUTO, Nobuo. "Numerical simulation of Tsunamis." Doboku Gakkai Ronbunshu, no. 411 (1989): 13–23. http://dx.doi.org/10.2208/jscej.1989.411_13.

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6

Kanak, Katharine M., Jerry M. Straka, and David M. Schultz. "Numerical Simulation of Mammatus." Journal of the Atmospheric Sciences 65, no. 5 (May 1, 2008): 1606–21. http://dx.doi.org/10.1175/2007jas2469.1.

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Abstract Mammatus are hanging lobes on the underside of clouds. Although many different mechanisms have been proposed for their formation, none have been rigorously tested. In this study, three-dimensional numerical simulations of mammatus on a portion of a cumulonimbus cirruslike anvil are performed to explore some of the dynamic and microphysical factors that affect mammatus formation and evolution. Initial conditions for the simulations are derived from observed thermodynamic soundings. Five observed soundings are chosen—four were associated with visually observed mammatus and one was not. Initial microphysical conditions in the simulations are consistent with in situ observations of cumulonimbus anvil and mammatus. Mammatus form in the four model simulations initialized with the soundings for which mammatus were observed, whereas mammatus do not form in the model simulation initialized with the no-mammatus sounding. Characteristics of the modeled mammatus compare favorably to previously published mammatus observations. Three hypothesized formation mechanisms for mammatus are tested: cloud-base detrainment instability, fallout of hydrometeors from cloud base, and sublimation of ice hydrometeors below cloud base. For the parameters considered, cloud-base detrainment instability is a necessary, but not sufficient, condition for mammatus formation. Mammatus can form without fallout, but not without sublimation. All the observed soundings for which mammatus were observed feature a dry-adiabatic subcloud layer of varying depth with low relative humidity, which supports the importance of sublimation to mammatus formation.

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7

Isbăşoiu, Eliza Consuela. "Numerical Modeling and Simulation." Advanced Science Letters 19, no. 1 (January 1, 2013): 166–69. http://dx.doi.org/10.1166/asl.2013.4663.

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8

UEMATSU, Takahiko. "Numerical simulation of snowdrift." Journal of the Japanese Society of Snow and Ice 54, no. 3 (1992): 287–89. http://dx.doi.org/10.5331/seppyo.54.287.

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9

Joly, Patrick, Leïla Rhaouti, and Antoine Chaigne. "Numerical simulation of timpani." Journal of the Acoustical Society of America 105, no. 2 (February 1999): 1125. http://dx.doi.org/10.1121/1.425250.

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10

Dupuy, Thomas, and Chainarong Srikunwong. "Resistance Welding Numerical Simulation." Revue Européenne des Éléments Finis 13, no. 3-4 (January 2004): 313–41. http://dx.doi.org/10.3166/reef.13.313-341.

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11

Claus, R. W., A. L. Evans, J. K. Lylte, and L. D. Nichols. "Numerical Propulsion System Simulation." Computing Systems in Engineering 2, no. 4 (January 1991): 357–64. http://dx.doi.org/10.1016/0956-0521(91)90003-n.

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12

Zavaliangos, A., and A. Lawley. "Numerical simulation of thixoforming." Journal of Materials Engineering and Performance 4, no. 1 (February 1995): 40–47. http://dx.doi.org/10.1007/bf02682703.

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13

Schnack, Dalton D. "Numerical simulation of plasmas." Computer Physics Communications 42, no. 3 (November 1986): 441–42. http://dx.doi.org/10.1016/0010-4655(86)90012-3.

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14

Cooke, Charlie H., and Kevin S. Fansler. "Numerical simulation of silencers." International Journal for Numerical Methods in Fluids 9, no. 3 (March 1989): 363–68. http://dx.doi.org/10.1002/fld.1650090309.

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15

Schuetz, S., and M. Piesche. "Numerical Simulation of Hydrocyclones." Chemie Ingenieur Technik 73, no. 6 (June 2001): 640. http://dx.doi.org/10.1002/1522-2640(200106)73:6<640::aid-cite6403333>3.0.co;2-s.

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16

Lançon, Frédéric, and Luc Billard. "Numerical simulation of quasicrystals." Journal of Non-Crystalline Solids 117-118 (February 1990): 836–39. http://dx.doi.org/10.1016/0022-3093(90)90658-9.

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17

Tsujimoto, Koichi, Toshihiko Shakouchi, Shuji Sasazaki, and Toshitake Ando. "Direct Numerical Simulation of Jet Mixing Control Using Combined Jets(Numerical Simulation)." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2005 (2005): 725–30. http://dx.doi.org/10.1299/jsmeicjwsf.2005.725.

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18

Yang, Xiao-long, and Song Fu. "Study of numerical errors in direct numerical simulation and large eddy simulation." Applied Mathematics and Mechanics 29, no. 7 (July 2008): 871–80. http://dx.doi.org/10.1007/s10483-008-0705-x.

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19

Shi, Yongchun, Zhifeng Xiao, Zhenhua Wang, Xiangdong Liu, and Deyong Yang. "Numerical Simulation on Superheated Steam Fluidized Bed Drying: II. Experiments and Numerical Simulation." Drying Technology 29, no. 11 (July 11, 2011): 1332–42. http://dx.doi.org/10.1080/07373937.2011.592050.

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20

Wei, Xiao Hua, and Bai Yang Lou. "Numerical Simulation Research of Micro-Injection Molding Simulation." Applied Mechanics and Materials 55-57 (May 2011): 1511–17. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1511.

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Анотація:

According to the basic theory and process of conventional injection molding, using the CAE software, numerical simulation research of the injection molding characteristic for micro thin-wall plastic parts are put forward. The effects of process parameters (melt temperature, mold temperature, injection pressure, injection rate) on molding characteristic of micro thin-wall plastic parts are discussed by single factor method, compare the significance of each factors.The simulation results showed that volume could be improved with the increase of melt temperature ,molding temperature, injection pressure and injection rate.

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21

YUU, Shinichi, and Toshihiko UMEKAGE. "Numerical Simulation of Granular Flow." Tetsu-to-Hagane 81, no. 11 (1995): N556—N563. http://dx.doi.org/10.2355/tetsutohagane1955.81.11_n556.

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22

Wakisaka, Tomoyuki. "Numerical Simulation of Engine Combustion." Journal of The Japan Institute of Marine Engineering 44, no. 3 (2009): 375–80. http://dx.doi.org/10.5988/jime.44.375.

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23

Hori, Tsukasa, and Jiro Senda. "Numerical Simulation of Engine Combustion." Journal of The Japan Institute of Marine Engineering 44, no. 3 (2009): 381–86. http://dx.doi.org/10.5988/jime.44.381.

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24

Takagi, Masahide. "Fuel Spray - Numerical Simulation Modeling." Journal of The Japan Institute of Marine Engineering 44, no. 3 (2009): 387–92. http://dx.doi.org/10.5988/jime.44.387.

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25

Mismar, Mai. "Numerical Simulation of Maxwell's Equations." IOSR Journal of Engineering 7, no. 03 (March 2017): 01–10. http://dx.doi.org/10.9790/30210-703010110.

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26

Winterfeld, P. H., and D. E. Schroeder. "Numerical Simulation of Gravel Packing." SPE Production Engineering 7, no. 03 (August 1, 1992): 285–90. http://dx.doi.org/10.2118/19753-pa.

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27

Pei, Xi, Min Xu, and Dong Guo. "Aeroelastic-Acoustics Numerical Simulation Research." Applied Mechanics and Materials 226-228 (November 2012): 500–504. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.500.

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Анотація:

The generation of aerodynamic noise of aircraft in flight is due to dynamical system and aerodynamic .The response of aircraft subjected to High acoustic loads and aerodynamic loads can produce fatigue and damage. In this paper a new Aeroelastic- Acoustics which adds acoustic loads in aeroelastic is presented. The emphasis of the study is the discipline of displacement and load of the flexible structure under the unsteady aerodynamic, inertial, elastic and aero-acoustic. The CFD/CSD/CAA coupling is used to simulate rockets cabin. Sound generated by a rocker is predicted numerically from a Large Eddy simulation (LES) of unsteady flow field. The Lighthill acoustic analogy is used to model the propagation of sound. The structural response of rocket cabin was given. The boundary-layer transition on the pressure side of the cabin is visualized, by plotting to better illustrate the essential interaction between fluctuating pressure and structure.CFD/CSD/CAA coupling compute method is validated in low and middle frequency.

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28

TOMIYAMA, Kengo, Toshitsugu HARA, Kazuyoshi SUZUKI, and Tsutomu SHODOJI. "Numerical Simulation of Soliton Propagation." Journal of the Visualization Society of Japan 15, Supplement1 (1995): 79–80. http://dx.doi.org/10.3154/jvs.15.supplement1_79.

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29

Panchenko, S. P. "NUMERICAL SIMULATION OF VISCOELASTIC MATERIALS." Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, no. 5(53) (November 24, 2014): 157. http://dx.doi.org/10.15802/stp2014/30811.

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30

Ohnaka, Itsuo. "Numerical Simulation of Materials Processing." Materia Japan 36, no. 7 (1997): 723–30. http://dx.doi.org/10.2320/materia.36.723.

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31

Zhang, Hong Shuang. "Numerical Simulation of Riveting Process." Applied Mechanics and Materials 34-35 (October 2010): 641–45. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.641.

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Анотація:

In order to fully understanding the distribution of residual stress after riveting and the relationship between residual stress and riveting process parameters during riveting, Finite Element Method was used to establish a riveting model. Quasi-static method to solve the convergence difficulties was adopted in riveting process. The riveting process was divided into six stages according to the stress versus time curves. The relationship of residual stress with rivet length and rivet hole clearance were established. The results show numerical simulation is effective for riveting process and can make a construction for the practical riveting.

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32

Niezgoda, Tadeusz, J. Malachowski, and Marek Boniecki. "Numerical Simulation of Alumina Fracture." Key Engineering Materials 132-136 (April 1997): 690–93. http://dx.doi.org/10.4028/www.scientific.net/kem.132-136.690.

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33

Gladbach, Katharina, Antonio Delgado, and Cornelia Rauh. "Numerical Simulation of Foaming Processes." World Journal of Mechanics 07, no. 11 (2017): 297–322. http://dx.doi.org/10.4236/wjm.2017.711024.

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34

Ariffin, Shahrul A. B., U. Hashim, and Tijjani Adam. "Numerical Simulation of Microfluidic Separators." Advanced Materials Research 795 (September 2013): 459–63. http://dx.doi.org/10.4028/www.scientific.net/amr.795.459.

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Анотація:

Microfluidic devices present a powerful platform for working with living cells and even gases. Parameter such as the length and volume scales of these devices in miniaturize system makes it possible to develops and perform detailed analyses with several advantages. The objective of this project is to do a design of 1μm microfluidic separator device that consist the microchannel. Furthermore, another objective is to understand the fundamental physical processes of fluid flow in these devices and to predict their behavior and every method using in the simulation of COMSOL Multiphysics 3.5 software will be elaborate in numerical simulation technique section. Finally, result from the simulation such as concentration, fluidic flow pressure and velocity field will be observed and explained in the result section.

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35

Kadonaga, Masami, Tomomi Katoh, and Tomoko Takahashi. "Numerical Simulation of Separating Discharge." IEEJ Transactions on Fundamentals and Materials 123, no. 5 (2003): 490–97. http://dx.doi.org/10.1541/ieejfms.123.490.

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36

Liao Zhou, 廖周, 邱琪 Qiu Qi, and 张雨东 Zhang Yudong. "Numerical Simulation of Segmented Telescope." Acta Optica Sinica 34, no. 7 (2014): 0722002. http://dx.doi.org/10.3788/aos201434.0722002.

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37

Kilin, A. A. "Numerical simulation of multiparticle systems." Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, no. 3 (September 2009): 135–46. http://dx.doi.org/10.20537/vm090312.

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38

Liu, Ming Qin, and Yu Ling Liu. "Numerical Simulation of Hydraulic Jump." Advanced Materials Research 374-377 (October 2011): 643–46. http://dx.doi.org/10.4028/www.scientific.net/amr.374-377.643.

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Анотація:

This paper is concerned with a mathematical model for numerical simulation of 2D flow accompanied with a hydraulic jump. The governing water equations are solved by the MacCormack’s predictor-corrector technique. The mathematical model is used to numerically predict 2D hydraulic jump in a rectangular open channel. The comparison and the analysis show that the proposed method is accurate, reliable and effective in simulation of hydraulic jump flows.

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39

Nakaza, Eizo, Tsunakiyo Iribe, and Muhammad Abdur Rouf. "NUMERICAL SIMULATION OF TSUNAMI CURRENTS." Coastal Engineering Proceedings 1, no. 32 (February 1, 2011): 6. http://dx.doi.org/10.9753/icce.v32.currents.6.

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Анотація:

The paper aims to simulate Tsunami currents around moving and fixed structures using the moving-particle semi-implicit method. An open channel with four different sets of structures is employed in the numerical model. The simulation results for the case with one structure indicate that the flow around the moving structure is faster than that around the fixed structure. The flow becomes more complex for cases with additional structures.

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40

Barykina, Olga, Igor Fomenko, and Oleg Zerkal. "Numerical simulation of stress distribution." E3S Web of Conferences 264 (2021): 01032. http://dx.doi.org/10.1051/e3sconf/202126401032.

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Анотація:

The Rogun hydropower plant is being constructed in Tajikistan, in the valley of the Vakhsh River. The construction site is located in a narrow gorge separating the Vakhsh and Surkh-Ku ridges. Most of the hydroelectric complex structures are located within a single tectonic block, which is bounded by two faults - Ionakhsh and Gulizindan, which are proximal to the Vakhsh regional fault. The study of stress distribution around the diversion tunnel was carried out by numerical simulation, which aimed to identify the stress distribution in the strongly dislocated heterogeneous rock massif before and after the tunnel creation. The underground cavity of the tunnel is a significant factor influencing the natural stress field of the rock massif. An area with critical values of the strength coefficient in the working roof, caused by the presence of a weak layer of Lower Cretaceous siltstones, is revealed in the tunnel location. The size of this area reaches two tunnel diameters. The change of stresses and their concentration around the underground working can cause deformations in the roof (collapse or rock bumps).

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41

Yin, Rui, Heng Liu, and Zhi-Yuan He. "Numerical Simulation of Hydrofoil Cavitation." Journal of Physics: Conference Series 2206, no. 1 (February 1, 2022): 012002. http://dx.doi.org/10.1088/1742-6596/2206/1/012002.

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Abstract A contrastive analysis was conducted on the lift and drag performance, pressure and gas-phase volume fraction of NACA4412 hydrofoil under different conditions of the cavitation number and the angle of attack based on CFD. The results are obtained as follows: after hydrofoil cavitation, the lift coefficient decreased and the drag coefficient increased with the decrease of the cavitation number, and supercavitation can reduce the drag coefficient locally; the pressure difference between the upper and lower surfaces of the hydrofoil decreased and the cavitation zone on the upper surface became larger with the decrease of the cavitation number; the cavitation zone of the hydrofoil originated from the leading edge; the length of the cavitation zone under large cavitation numbers first increased and then decreased with the increase of the angle of attack, and the zone moved towards the leading edge; the cavitation zone under small cavitation numbers covered almost the entire upper surface of the hydrofoil.

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42

FUKUDA, Yutaka, and Katsuya NAGAYAMA. "Numerical simulation of skin cracking." Proceedings of Mechanical Engineering Congress, Japan 2021 (2021): J023–12. http://dx.doi.org/10.1299/jsmemecj.2021.j023-12.

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43

Srinivas, G., and Srinivasa Rao Potti. "Numerical Simulation of Rocket Nozzle." Advanced Materials Research 984-985 (July 2014): 1210–13. http://dx.doi.org/10.4028/www.scientific.net/amr.984-985.1210.

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Анотація:

The vent or opening is called nozzle. The objectives are to measure the flow rates and pressure distributions within the converging and diverging nozzle under different exit and inlet pressure ratios. Analytic results will be used to contrast the measurements for the pressure and normal shock locations. In this paper computational Fluid Dynamics (CFD) Analysis of various performance parameters like static pressure, the Mach number, intensity of turbulence, the area ratio are studied in detail for a rocket nozzle from Inlet to exit by using Ansys Fluent software. From the public literature survey the geometry co-ordinates are taken. The throat diameter and exit and diameter are same for all nozzles. After the simulation the results revealed that the divergence angle varies the mach number and other performance parameters also varies. For smaller nozzle angle the discharge coefficient increases with increasing pressure ratio until the choked condition is reached for varying the divergence angle.

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44

Dietiker, Jean-Francois, and Klaus A. Hoffmann. "Numerical Simulation of Magnetohydrodynamic Flows." Journal of Spacecraft and Rockets 41, no. 4 (July 2004): 592–602. http://dx.doi.org/10.2514/1.11937.

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45

Wang, Yan Dong, and Hong Guang Jia. "Numerical Simulation of Laval Nozzle." Applied Mechanics and Materials 397-400 (September 2013): 266–69. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.266.

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Анотація:

Laval nozzle is the commonly used device in rocket engine and aero engine. this paper, the numerical model is derived. The convergent section subsonic flow and divergent section hypersonic flow are simulated in dimensionless method. Reverting the dimension, the result can be seen that the analytical solution, the CFX simulation solution and the numerical are in uniform.

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46

TANAKA, Hajime, and Michio TATENO. "Numerical Simulation of Colloidal Suspension." Oleoscience 19, no. 11 (2019): 455–60. http://dx.doi.org/10.5650/oleoscience.19.455.

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47

Hijikata, Kunio. "Numerical Simulation of Thermofluid Phenomena." Journal of the Japan Welding Society 60, no. 7 (1991): 576–80. http://dx.doi.org/10.2207/qjjws1943.60.576.

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48

Qin, Li, Jun Kuo Li, and Qiang Fu. "ACSR Strands Stress Numerical Simulation." Applied Mechanics and Materials 256-259 (December 2012): 710–13. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.710.

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Анотація:

As an important carrier of electricity power, ACSR is a principal part of power system and is directly related to the transmission line reliability and safety. ACSR strands stress analysis is the foundation of studying ACSR mechanical properties. In this paper, finite element method is used to analysis the Acsr strands stress. The structural characteristics of Acsr is considered and the complete Acsr model is created by ansys to simulate the distribution of stress and strain under appropriate boundary conditions. The Conclusions are drawn that both the state of strands stress and the stress concentration level are related with its structural properties. The strands of out layers bears more stress and firstly comes into plastic strain. The results of the research is helpful to the further study of ACSR strength and conductor fatigue life.

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49

Souza, J. A., J. V. C. Vargas, O. F. Von Meien, and W. Martignoni. "NUMERICAL SIMULATION OF FCC RISERS." Revista de Engenharia Térmica 2, no. 2 (December 31, 2003): 17. http://dx.doi.org/10.5380/reterm.v2i2.3479.

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Анотація:

The catalytic cracking of hydrocarbons in a FCC riser is a very complex physical and chemical phenomenon, which combines a three-dimensional, three-phase fluid flow with a heterogeneous catalytic cracking kinetics. Several researchers have carried out the modeling of the problem in different ways. Depending on the main objective of the modeling it is possible to find in the literature very simple models while in other cases, when more accurate results are necessary, each equipment is normally treated separately and a set of differential and algebraic equations is written for the problem. The riser reactor is probably the most important equipment in a FCC plant. All cracking reactions and fuel formation occur during the short time (about 4-5s) that the gas oil stays in contact with the catalyst inside the riser. This work presents a simplified model to predict the, temperature and concentrations in a FCC riser reactor. A bi-dimensional fluid flow field combined with a 6 lumps kinetic model and two energy equations (catalyst and gas oil) are used to simulate the gas oil cracking process. Based on the velocity, temperature and concentration fields, it is intended, on a next step, to use the second law of thermodynamic to perform a thermodynamic optimization of the system.

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Cummings, Russell M. "Numerical Simulation of Hypersonic Flows." Journal of Spacecraft and Rockets 52, no. 1 (January 2015): 15–16. http://dx.doi.org/10.2514/1.a33030.

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