2 edition of CFD analysis and design optimization using parallel computers found in the catalog.
CFD analysis and design optimization using parallel computers
by Research Institute for Advanced Computer Science, NASA Ames Research Center, National Technical Information Service, distributor in [Moffett Field, Calif.], [Springfield, Va
Written in English
|Statement||Luigi Martinelli ... [et al.].|
|Series||[NASA contractor report] -- NASA-CR-204486., RIACS technical report -- 97.04., NASA contractor report -- NASA CR-204486., RIACS technical report -- TR 97-04.|
|Contributions||Martinelli, Luigi., Research Institute for Advanced Computer Science (U.S.)|
|The Physical Object|
CFD was to be performed on highly parallel computers, with faster testbed machines obtained on a regular basis. Long-range goals included teraaqops-rate multidisciplinary optimization of . Design and Topology Optimization using CFD and FEM Topology optimization using Finite Element Method (FEM)/CFD optimizes material layout within a given design space, for a given set of loads, boundary conditions and manufacturing constraints with the goal of maximizing the performance of the system. Once the component design is freezed, any.
Multidisciplinary design optimization (MDO) has recently emerged as a field of research and practice that brings together many previously disjointed disciplines and tools of engineering and mathematics. MDO can be described as a technology, environment, or methodology for the design of complex, coupled engineering systems, such as aircraft, automobiles, and other mechanisms, the behavior of. An rSQP optimization algorithm has been linked to the MPSalsa parallel reacting flows code. The goal is to developSAND (Simultaneous Analysis aNd Design) methods for use .
Short Course on Integrated Multiphysics Simulation & Optimization,Laajavuori, March , 1 Optimization Methods for Multidisciplinary Design in Aerospace Engineering Using Parallel Evolutionary Algorithms, Game Theory and Hierarchical Topology Theoretical aspects and applications (1) F.L. Gonzalez* and D.S. Lee**. ogy. With this approach for channel flow problems, CFD emerges from an analysis tool to a design tool: Topology optimization “generates” design proposals for channels with low pres-sure drop automatically within a given design space. Further design objectives like flow ho-mogenization or favoured flow velocity profiles are also possible.
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CFD Analysis and Design Optimization Using Parallel Computers Article (PDF Available) February with 37 Reads How we measure 'reads' A. CFD ANALYSIS AND DESIGN OPTIMIZATION USING PARALLEL COMPUTERS L.
Martinelli, J.J. Alonso, A. Jameson Department of Mechanical and Aerospace Engineering Princeton University Princeton, New JerseyU.S.A. Reuther Research Institute for Advanced Computer Science NASA Ames Research Center, MS Mo_ett Field, CaliforniaU.S.A. Get this from a library.
CFD analysis and design optimization using parallel computers. [Luigi Martinelli; Research Institute for Advanced Computer Science (U.S.);]. This chapter explores the potential merit of an innovative parallel evolutionary algorithm (EA) coupled with current computational fluid dynamics (CFD) solvers.
The chapter outlines the hierarchical asynchronous parallel evolution algorithm (HAPEA), and its important differences to a more conventional evolutionary : L. González, E.J. Whitney, K. Srinivas, J. Périaux. A comprehensive source of generalized design data for most widely used fin surfaces in CHEs.
Compact Heat Exchanger Analysis, Design and Optimization: FEM and CFD Approach brings new concepts of design data generation numerically (which is more cost effective than generic design data) and can be used by design and practicing engineers more effectively.
Parallel ComputationalFluid Dynamics: Implementations and Results Using Parallel Computers A. Ecer, J. Periaux, N. Satofukaand S. Taylor (Editors) Elsevier Science B.V. 51 From R&D in parallel CFD to a tool for computer aided engineering W.
Loeve National Aerospace Laboratory, P.O. BoxBM Amsterdam, The Netherlands For industry, CFD is only of. The increased requirements on 3D CFD modelling lead to parallel processing of the flow phenomena. The majority of commercial CFD tools demands additional cost for parallel computing, which increase the total cost of the design process.
With AxCFD, the users have the opportunity to use parallel calculation without the need to pay extra. This book has been formatted onto a CD-ROM and comprises sixty previously unpublished and peer-reviewed papers on the theory, problems and applications of computational fluid dynamics as advanced by parallel and supercomputing approaches covering a wide range of computers and configurations, including emergent software, new architectures, peta-flops scale machines and distributed computing grids.
Torque converters are durable fluid couplings that can provide output torque multiplication. Blade leaning angle represents the angular position of a blade chord with respect to i.
The multiphysics simulation methodology presented in this paper permits extension of computational fluid dynamics (CFD) simulations to account for electric power generation and its effect on the energy transport, the Seebeck voltage, the electrical currents in thermoelectric systems.
The energy transport through Fourier, Peltier, Thomson and Joule mechanisms as a function of temperature and. You can select under settings the number of processors you require for the meshing process under the general setting drop down list in ICEM.
Wankhede, Moresh J., Bressloff, Neil W., and Keane, Andy J. "A Time-Parallel CFD Approach for Unsteady Combustor Flow Analysis and Design Optimization." Proceedings of the ASME Turbo Expo Turbine Technical Conference and Exposition.
Volume 2: Combustion, Fuels and Emissions, Parts A and B. Copenhagen, Denmark. June 11–15, pp. A comprehensive source of generalized design data for most widely used fin surfaces in CHEs Compact Heat Exchanger Analysis, Design and Optimization: FEM and CFD Approach brings new concepts of design data generation numerically (which is more cost effective than generic design data) and can be used by design and practicing engineers more effectively.
The numerical methods/techniques are. Hilbert et al. () perform a multi-objective design optimization concerning the blade shape of a heat exchange using a parallel GA, considering the coupled solution of the flow/heat transfer.
17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference Washington, D.C 10th AIAA Multidisciplinary Design Optimization Conference National Harbor, application to fluid–structure interaction coupling problems, International Journal of Computational Fluid Dynamics, /, for this course) will serve as adequate preparation for analysis and implementation of the algorithms to be introduced in Chap.
Unlike what is done in most treatments of CFD, we will view numerical analysis as an essential tool for doing CFD, but not, per se, part of CFD itself—so it. We offer CFD analysis services for effective product design and optimization at cost effective rates. + EMail. We also offer design solutions for electronics domain through computational fluid dynamics for effective thermal management of PCBs and data centers as well as improve the performance of handheld devices through.
This volume is proceedings of the international conference of the Parallel Computational Fluid Dynamics In the volume, up-to-date information about numerical simulations of flows using parallel computers is given by leading researchers in this field. Special. Download Compact Heat Exchangers: Analysis, Design and Optimization using FEM and CFD Approach (C.
Ranganayakulu, Kankanhalli N. Seetharamu) Free Book - Book. Automatic design procedures that use Computational Fluid Dynamics(CFD) combined with gradient- based optimization techniques have been made possible by the availability of high performance com- puting platforms and by the development of new and eﬃcient analysis and design algorithms.
The example shows that the theory and implementation of the proposed WGEK is correct and matured enough for design optimization. Fig. 6. Design space of a modified Branin–Hoo test function (× denotes the constrained global optimum).
Fig. 7. Convergence histories of minimizing the Branin–Hoo function based on kriging, GEK, and WGEK.The latter is represented using NURBS functions, whose coefficients are used as the design variables. Parallelizing the CFD flow simulations reduced the turn-around computation time at close to % efficiency.
The ANN model was able to approximate the objective function rather accurately and to reduce the optimization computing time by ten folds.Version of STAR-CCM+ software for multiphysics computational fluid dynamics (CFD) simulation and analysis debuts Design Manager, an integrated feature for automated product design exploration and optimization.
Also new is STAR-Innovate, an add-on for exploring multiple design options within CFD simulations.