Academic literature on the topic 'DSMC'

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Journal articles on the topic "DSMC"

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Zhao, Di, and Haiwu He. "DSMC: Fast direct simulation Monte Carlo solver for the Boltzmann equation by Multi-Chain Markov Chain and multicore programming." International Journal of Modeling, Simulation, and Scientific Computing 07, no. 02 (2016): 1650009. http://dx.doi.org/10.1142/s1793962316500094.

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Direct Simulation Monte Carlo (DSMC) solves the Boltzmann equation with large Knudsen number. The Boltzmann equation generally consists of three terms: the force term, the diffusion term and the collision term. While the first two terms of the Boltzmann equation can be discretized by numerical methods such as the finite volume method, the third term can be approximated by DSMC, and DSMC simulates the physical behaviors of gas molecules. However, because of the low sampling efficiency of Monte Carlo Simulation in DSMC, this part usually occupies large portion of computational costs to solve the
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Karthikeyan, Viji, Anil Kumar Tiwari, Agalya Vedi, and Buvana Devaraju. "Input-output linearization of DC-DC converter with discrete sliding mode fuzzy control strategy." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 1223. http://dx.doi.org/10.11591/ijece.v12i2.pp1223-1232.

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The major thrust of the paper is on designing a fuzzy logic approach has been combined with a well-known robust technique discrete sliding mode control (DSMC) to develop a new strategy for discrete sliding mode fuzzy control (DSMFC) in direct current (DC-DC) converter. Proposed scheme requires human expertise in the design of the rule base and is inherently stable. It also overcomes the limitation of DSMC, which requires bounds of uncertainty to be known for development of a DSMC control law. The scheme is also applicable to higher order systems unlike model following fuzzy control, where form
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Luo, Le, and Ming-Zhong Yang. "Switching Power Supply Control Strategy Based on Monitoring Configuration." Journal of Nanoelectronics and Optoelectronics 16, no. 5 (2021): 766–72. http://dx.doi.org/10.1166/jno.2021.2993.

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In this paper, a new discrete-time sliding mode predictive control (DSMPC) strategy with a PID sliding function is proposed for synchronous DC-DC Buck converter. The model predictive control, along with digital sliding mode control (DSMC) is able to further reducing the chattering phenomenon, steady-state error, overshoot, and undershoot of the converter output voltage. The proposed control method implementation only requires output error voltage evaluation. The effectiveness of the proposed DSMPC is proved through simulation results executed by the MATLAB/SIMULINK software. These results demo
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Olson, Spencer E., and Andrew J. Christlieb. "Gridless DSMC." Journal of Computational Physics 227, no. 17 (2008): 8035–64. http://dx.doi.org/10.1016/j.jcp.2008.04.038.

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DE SOCIO, L. M., and L. MARINO. "SIMULATION AND MODELLING OF FLOWS BETWEEN ROTATING CYLINDERS." Mathematical Models and Methods in Applied Sciences 10, no. 01 (2000): 73–83. http://dx.doi.org/10.1142/s0218202500000069.

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The equations which govern a number of models for flows between rotating cylinders at different Knudsen numbers are solved numerically by means of the direct simulation Monte Carlo method (DSMCM) to show their limitations. The DSMC code was firstly tested and validated against existing experimental data and then its results represented the reference data base for evaluating the characteristics of each model.
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Zhang, Qing-Wei, La-Mei Teng, Xin-Tian Zhang, et al. "Narrow-band imaging in the diagnosis of deep submucosal colorectal cancers: a systematic review and meta-analysis." Endoscopy 49, no. 06 (2017): 564–80. http://dx.doi.org/10.1055/s-0043-103014.

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Abstract Background and aims Magnifying endoscopy with narrow-band imaging (M-NBI) has been widely used in the differential diagnosis of deep submucosal colorectal cancers (dSMCs) from superficial submucosal cancers (sSMCs) and intramucosal neoplasms. We aimed to pool the diagnostic efficacy of M-NBI and compare it with that of magnifying chromoendoscopy (M-CE) in diagnosing colorectal dSMC. Methods PubMed, EMBASE, and the Cochrane Library were searched to identify eligible studies. Meeting abstracts were also searched. A bivariate mixed-effects binary regression model was used in the meta-ana
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Xiao, Hong, Yuhe Shang, and Di Wu. "DSMC Simulation and Experimental Validation of Shock Interaction in Hypersonic Low Density Flow." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/732765.

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Direct simulation Monte Carlo (DSMC) of shock interaction in hypersonic low density flow is developed. Three collision molecular models, including hard sphere (HS), variable hard sphere (VHS), and variable soft sphere (VSS), are employed in the DSMC study. The simulations of double-cone and Edney’s type IV hypersonic shock interactions in low density flow are performed. Comparisons between DSMC and experimental data are conducted. Investigation of the double-cone hypersonic flow shows that three collision molecular models can predict the trend of pressure coefficient and the Stanton number. HS
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Yan, T. H., B. Wu, B. He, W. H. Li, and R. B. Wang. "A Novel Fuzzy Sliding-Mode Control for Discrete-Time Uncertain System." Mathematical Problems in Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/1530760.

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This paper considers the sliding-mode control problem for discrete-time uncertain systems. It begins by presenting a discrete variable speed reaching law and a discrete-time sliding-mode controller (DSMC) designed using the proposed reaching law, followed by an analysis of their stability and dynamic performance. A sliding-mode controller with simple fuzzy logic is then proposed to further strengthen the dynamic performance of the proposed sliding-mode controller. Finally, the presented DSMC and the DSMC with fuzzy control for adjusting the parameters in this paper are compared with one of the
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Burt, Jonathan M., and Iain D. Boyd. "Convergence Detection in Direct Simulation Monte Carlo Calculations for Steady State Flows." Communications in Computational Physics 10, no. 4 (2011): 807–22. http://dx.doi.org/10.4208/cicp.090210.311210a.

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AbstractA new criterion is presented to detect global convergence to steady state, and to identify local transient characteristics, during rarefied gas flow simulations performed using the direct simulation Monte Carlo (DSMC) method. Unlike deterministic computational fluid dynamics (CFD) schemes, DSMC is generally subject to large statistical scatter in instantaneous flow property evaluations, which prevents the use of residual tracking procedures as are often employed in CFD simulations. However, reliable prediction of the time to reach steady state is necessary for initialization of DSMC sa
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Di Staso, G., H. J. H. Clercx, S. Succi, and F. Toschi. "Lattice Boltzmann accelerated direct simulation Monte Carlo for dilute gas flow simulations." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374, no. 2080 (2016): 20160226. http://dx.doi.org/10.1098/rsta.2016.0226.

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Hybrid particle–continuum computational frameworks permit the simulation of gas flows by locally adjusting the resolution to the degree of non-equilibrium displayed by the flow in different regions of space and time. In this work, we present a new scheme that couples the direct simulation Monte Carlo (DSMC) with the lattice Boltzmann (LB) method in the limit of isothermal flows. The former handles strong non-equilibrium effects, as they typically occur in the vicinity of solid boundaries, whereas the latter is in charge of the bulk flow, where non-equilibrium can be dealt with perturbatively,
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Dissertations / Theses on the topic "DSMC"

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Piekos, Edward S. (Edward Stanley). "DSMC modeling of micromechanical devices." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11149.

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Lunde, Dominic Charles. "A Homegrown DSMC-PIC Model for Electric Propulsion." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2066.

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Powering spacecraft with electric propulsion is becoming more common, especially in CubeSat-class satellites. On account of the risk of spacecraft interactions, it is important to have robust analysis and modeling tools of electric propulsion engines, particularly of the plasma plume. The Navier-Stokes equations used in classic continuum computational fluid dynamics do not apply to the rarefied plasma, and therefore another method must be used to model the flow. A good solution is to use the DSMC method, which uses a combination of particle modeling and statistical methods for modeling the sim
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Palaniswaamy, Geethpriya. "DSMC multicomponent aerosol dynamics sampling algorithms and aerosol processes /." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/4737.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed Dec. 12, 2007). Vita. Includes bibliographical references.
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Palharini, Rodrigo Cassinel. "Atmospheric reentry modelling using an open-source DSMC code." Thesis, University of Strathclyde, 2014. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=24375.

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Aerothermodynamic investigations of hypersonic re-entry vehicles provides crucial information to other key disciplines as structures and materials, assisting the development of efficient and lightweight thermal protection systems (TPS). Under the transitional flow regime, where chemical and thermal nonequilibrium are predominant, the most successful numerical method for such studies has been the direct simulation Monte Carlo (DSMC) numerical technique. In the present work, the solver dsmcFoam has been benchmarked against experimental, numerical, and theoretical data found in the open literatur
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Masters, Nathan Daniel. "Efficient Numerical Techniques for Multiscale Modeling of Thermally Driven Gas Flows with Application to Thermal Sensing Atomic Force Microscopy." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11574.

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The modeling of Micro- and NanoElectroMechanical Systems (MEMS and NEMS) requires new computational techniques that can deal efficiently with geometric complexity and scale dependent effects that may arise. Reduced feature sizes increase the coupling of physical phenomena and noncontinuum behavior, often requiring models based on molecular descriptions and/or first principles. Furthermore, noncontinuum effects are often localized to small regions of (relatively) large systemsprecluding the global application of microscale models due to computational expense. Multiscale modeling couples efficie
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Al-Mohssen, Husain Ali 1977. "An excursion with the Boltzmann equation at low speeds : variance-reduced DSMC." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61591.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 133-139).<br>The goal of the present thesis is to develop a practical method for simulating low-signal kinetic (small-scale) gaseous flows. These flows have recently received renewed attention in connection with the design and optimization of MEMS/NEMS devices operating in gaseous environments; they are typically described using the Boltzmann equation which is most efficiently solved using a stochastic particle simula
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Al-Kouz, Wael G. "Investigation of Supersonic Gas Flows into Nanochannels Using an Unstructured 3D Direct Simulation Monte Carlo Method." Digital WPI, 2009. https://digitalcommons.wpi.edu/etd-dissertations/317.

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"This dissertation is devoted to the computational investigation of supersonic gas flows in rectangular nanochannels with scales between 100 nm and 1000 nm, using an unstructured three-dimensional Direct Simulation Monte Carlo (U3DSMC) methodology. This dissertation also contributes to the computational mathematics background of the U3DSMC method with validations and verifications at the micronscale and nanoscale, as well as with the investigation of the statistical fluctuations and errors associated with U3DSMC simulations at the nanoscale. The U3DSMC code is validated by comparisons wit
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Oh, David Y. (David Younghee). "Computational modeling of expanding plasma plumes in space using a PIC-DSMC algorithm." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10756.

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Cave, Hadley Mervyn. "Development of Modelling Techniques for Pulsed Pressure Chemical Vapour Deposition (PP-CVD)." Thesis, University of Canterbury. Mechanical Engineering, 2008. http://hdl.handle.net/10092/1572.

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In this thesis, a numerical and theoretical investigation of the Pulsed Pressure Chemical Vapour Deposition (PP-CVD) progress is presented. This process is a novel method for the deposition of thin films of materials from either liquid or gaseous precursors. PP-CVD operates in an unsteady manner whereby timed pulsed of the precursor are injected into a continuously evacuated reactor volume. A non-dimensional parameter indicating the extent of continuum breakdown under strong temporal gradients is developed. Experimental measurements, supplemented by basic continuum simulations, reveal that spa
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Rose, Martin. "Untersuchungen zur Oberflächenchemie der Atomlagenabscheidung und deren Einfluss auf die Effizienz von Prozessen." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-63111.

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In dieser Arbeit werden verschiedene Prozesse zur Atomlagenabscheidung (ALD) von TiO2 und HfO2 experimentell untersucht. Die Untersuchungen schließen eine experimentelle Charakterisierung des Schichtwachstums sowie eine massenspektrometrische Analyse der Reaktionsprodukte ein. Im Detail wurden der ALD-Prozess mit Cp*Ti(OMe)3 und Ozon zur Abscheidung von TiO2 sowie der ALD-Prozess mit TEMAHf und Ozon zur Abscheidung von HfO2 untersucht. Der theoretische Teil der Arbeit beginnt mit einer Methode zur Bestimmung des absoluten Haftkoeffizienten. Anschließend werden numerische Modelle entwickelt, we
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Books on the topic "DSMC"

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College, Defense Systems Management, ed. DSMC at a glance. Defense Systems Management College, 1995.

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College, Defense Systems Management, ed. DSMC at a glance. Defense Systems Management College, 1995.

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College, Defense Systems Management, ed. DSMC at a glance. Defense Systems Management College, 1995.

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Hall, Mary-jo. Process improvement: The DSMC approach. Defense Systems Management College, 1994.

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Hall, Mary-jo. Process improvement: The DSMC approach (PRIMA). 2nd ed. Defense Systems Management College, 1995.

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N, Gupta Roop, Price Joseph M, and United States. National Aeronautics and Space Administration., eds. DSMC simulations of OREX entry conditions. National Aeronautics and Space Administration, 1996.

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United States. Dept. of Defense., ed. DSMC Program Managers Tool Kit, March 1999. s.n., 1999.

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A'Hearn, Francis W. I want you to know about these DSMC publications. Defense Systems Management College, Dept. of Research and Information, 1986.

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A, Bird G., and Langley Research Center, eds. Implementation of a vibrationally linked chemical reaction model for DSMC. National Aeronautics and Space Administration, Langley Research Center, 1994.

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College, Defense Systems Management, ed. A Special course at DSMC just for multinational program managers. Defense Systems Management College, 1985.

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Book chapters on the topic "DSMC"

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La Torre, Federico, Sasa Kenjeres, Chris R. Kleijn, and Jean-Luc P. A. Moerel. "Evaluation of Micronozzle Performance through DSMC, Navier-Stokes and Coupled DSMC/Navier-Stokes Approaches." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01970-8_67.

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Pallegoix, J. F. "DSMC calculation on a delta wing." In Hypersonic Flows for Reentry Problems. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77922-0_73.

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Moss, James N., Joseph M. Price, and M. Cevdet Celenligil. "DSMC Calculations for The Double Ellipse." In Hypersonic Flows for Reentry Problems. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76527-8_57.

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Cevdet Celenligil, M., and James N. Moss. "DSMC Calculations for The Delta Wing." In Hypersonic Flows for Reentry Problems. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76527-8_68.

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Ignatieva, Svetlana, and Vladimir Memnonov. "Parallel Implementation of a Corrected DSMC Method." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44743-1_45.

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Müller, Matthias, and Hans J. Herrmann. "DSMC — A Stochastic Algorithm for Granular Matter." In Physics of Dry Granular Media. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-2653-5_30.

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Roohi, Ehsan. "DSMC Simulations of Nanoscale and Microscale Gas Flow." In Encyclopedia of Microfluidics and Nanofluidics. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-5491-5_1723.

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Scanlon, T. J., C. White, M. Schuebler, R. E. Brown, and J. M. Reese. "Thermochemistry Modelling in an Open Space DSMC Code." In 28th International Symposium on Shock Waves. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25688-2_22.

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Roohi, Ehsan. "DSMC Simulations of Nanoscale and Microscale Gas Flow." In Encyclopedia of Microfluidics and Nanofluidics. Springer US, 2013. http://dx.doi.org/10.1007/978-3-642-27758-0_1723-2.

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Sengil, N., and F. O. Edis. "Implementation of parallel DSMC method to adiabatic piston problem." In Lecture Notes in Computational Science and Engineering. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92744-0_9.

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Conference papers on the topic "DSMC"

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Garcia, A. "DSMC/Continuum hybrid methods." In RAREFIED GAS DYNAMICS: 22nd International Symposium. AIP, 2001. http://dx.doi.org/10.1063/1.1407584.

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Bird, G. A. "Chemical Reactions in DSMC." In 27TH INTERNATIONAL SYMPOSIUM ON RAREFIED GAS DYNAMICS. AIP, 2011. http://dx.doi.org/10.1063/1.3562806.

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Breuer, Kenneth, Edward Piekos, and David Gonzales. "DSMC simulations of continuum flows." In 30th Thermophysics Conference. American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-2088.

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Piekos, Edward, and Kenneth Breuer. "DSMC modeling of micromechanical devices." In 30th Thermophysics Conference. American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-2089.

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Bobylev, Alexander V., Irina F. Potapenko, and Stanislav A. Karpov. "DSMC methods for multicomponent plasmas." In 28TH INTERNATIONAL SYMPOSIUM ON RAREFIED GAS DYNAMICS 2012. AIP, 2012. http://dx.doi.org/10.1063/1.4769589.

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Gallis, M. A., J. R. Torczynski, D. J. Rader, G. A. Bird, and Takashi Abe. "An Improved-Accuracy DSMC Algorithm." In RARIFIED GAS DYNAMICS: Proceedings of the 26th International Symposium on Rarified Gas Dynamics. AIP, 2008. http://dx.doi.org/10.1063/1.3076490.

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Aktas, Ozgur, N. R. Aluru, and Umberto Ravaioli. "DSMC Simulation of Microfilter Elements." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0305.

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Abstract Direct Simulation Monte Carlo (DSMC) analysis of micro-filter elements for collection of airborne particles is considered in this paper. Three filter elements with different dimensions were simulated. Boundary conditions were chosen to simulate an array of filters. Our results indicate that, as the filter gets smaller, the slip flow will be critical in determining flow characteristics. The change in the flow rate and the characteristics of the flow in different dimensions are investigated.
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BARTEL, TIMOTHY, and CHARLES JUSTIZ. "DSMC simulation of ionized rarefied flows." In 23rd Fluid Dynamics, Plasmadynamics, and Lasers Conference. American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-3095.

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Hash, D., and H. Hassan. "A hybrid DSMC/Navier-Stokes solver." In 33rd Aerospace Sciences Meeting and Exhibit. American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-410.

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Gallis, Michael, John Torczynski, and Daniel Rader. "DSMC Convergence Behavior for Transient Flows." In 39th AIAA Thermophysics Conference. American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-4258.

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Reports on the topic "DSMC"

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Gallis, Michail A., and Edward Stanley Piekos. Accelerating DSMC data extraction. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/922066.

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Wadsworth, D. C., D. B. VanGilder, I. J. Wysong, C. Kaplan, and D. Mott. SUPREM-DSMC Version 1.0 User's Manual. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada411285.

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Gimelshein, Sergey, Gennady Markelov, and Marc Rieffel. Collision Models in the Hawk DSMC Implementation. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada448751.

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Schneller, George. Program Manager - A Bimonthly Magazine of DSMC. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada372041.

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Wadsworth, Dean C., Douglas B. VanGilder, and Virendra K. Dogra. Gas-Surface Interaction Model Evaluation for DSMC Applications. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada406005.

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BARTEL, TIMOTHY J., STEVEN J. PLIMPTON, and MICHAIL A. GALLIS. Icarus: A 2-D Direct Simulation Monte Carlo (DSMC) Code for Multi-Processor Computers. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/789256.

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Campbell, David, Dean Wadsworth, Douglas VanGilder, Ingrid Wysong, and Carolyn Kaplan. SUPREM-DSMC: A New Scalable, Parallel, Reacting, Multidimensional Direct Simulation Monte Carlo Flow Code. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada407889.

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Campbell, David, Dean Wadsworth, Ingrid Wysong, and Carolyn Kaplan. SUPREM DSMC: A New Scalable, Parallel, Reacting, Multidimensional Direct Simulation Monte Carlo Flow Code. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada409492.

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Stewart, Jesse, Norman S. Bull, and John Krieger. Acquisition Program Transition Workshops: An Element of the DSMC Program Manager Mission Assistance Capability. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada606209.

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Bartel, T., S. Plimpton, J. Johannes, and J. Payne. Icarus: A 2D direct simulation Monte Carlo (DSMC) code for parallel computers. User`s manual - V.3.0. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/399675.

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