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检索条件"任意字段=Conference on Simulation-Driven Modeling and Optimization"

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50th AIAA/ASME/SAE/ASEE Joint Propulsion conference, 2014

50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference, 2014

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50th AIAA/ASME/SAE/ASEE Joint Propulsion conference and exhibit 2014

ISBN: (纸本)9781624103032

The proceedings contain 527 papers. The special focus in this conference is on Identifying and Highlighting how Innovative Aerospace Propulsion Technologies Powering Both New and Evolving Systems. The topics include: Analysis of hypersonic flow using three dimensional navier-stokes equations;theoretical investigation and modeling of current extraction from a radio-frequency cathode;pulsed plasma thrusters for atmospheric operation;modelling and optimization of electrode-less helicon plasma thruster with different propellants;integrated design tools for RF antennas for helicon plasma thrusters;plasma source optimization for multispecies helicon plasma thruster;study about ablative coated carbon materials applied on chambers of LRE;effect of novel alternative fuels and compositions on vibrations of a gas turbine engine;measurement of film thickness in gas-centered swirl coaxial injectors;impulse vector characteristics of a laser-driven vehicle;flow characterization of high velocity oxy-fuel thermal sprays;results from the RIT-22 technology maturity demonstration activity;neutralizer-free gridded ion thruster;development and test of the negative and positive ion thruster PEGASES;design and preliminary testing plan of electronegative ion thruster;numerical simulation of the cathode plume of a hall thruster;numerical momentum tracking for a hall thruster plume;experimental investigation of breakup of annular liquid sheet in a hybrid atomizer;combustion dynamics behavior in a single-element lean direct injection (LDI) gas turbine combustor;a second generation swirl-venturi lean direct injection combustion concept and flow field and liner heat transfer for a model annular combustor equipped with radial swirlers.

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Toward a model-driven engineering framework for reproducible simulation experiment lifecycle management 14

Toward a model-driven engineering framework for reproducible...

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simulation Winter conference

作者： Alejandro Teran-Somohano Orçun Dayıbas Levent Yilmaz Alice Smith Industrial and Systems Engineering Auburn University Auburn USA Department of Computer Engineering Middle East Technical University Ankara TURKEY Computer Science and Software Engineering Auburn University Auburn USA

Goal-directed reproducible experimentation with simulation models is still a significant challenge. The underutilization of design of experiments, limited transparency in the collection and analysis of results, and ad-hoc adaptation of experiments as learning takes place continue to hamper reproducibility and hence cause a credibility gap. In this study, we propose a strategy that leverages the synergies between model-driven engineering, intelligent agent technology, and variability modeling to support the management of the lifecycle of a simulation experiment. Experiment design and workflow models are introduced for configurable experiment synthesis and execution. Feature-based variability modeling is used to design a family of experiments, which can be leveraged by ontology-driven software agents to configure, execute, and reproduce experiments. Online experiment adaptation is proposed as a strategy to facilitate dynamic experiment model updating as objectives shift from validation to variable screening, understanding, and optimization.

关键词： Computational modeling Adaptation models Data models Analytical models Educational institutions Intelligent agents

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optimization of resin channel placement for VARTM based composite manufacturing processes

Optimization of resin channel placement for VARTM based comp...

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SAMPE Tech Seattle 2014 conference

作者： Dhumal, Swapnil Y. Kulmi, Udit Riahi, Amir General Electric Global Research Center Bangalore560066 India General Electric Power and Water 300 Garlinton Road BF3 GreenvilleSC29681 United States

ISBN: (纸本)9781934551165

Large scale composite structures such as, wind turbine blades, boat hulls etc. are built using resin infusion processes. Infusion time is one of the key process parameters in resin infusion processes, critical not only for manufacturing yield and cost, but also for successfully filling of the part in the case of resins with very short gel time. Significant efforts are devoted to reduce the infusion time by trial and error approach, which has sizable cost implications, requires considerable time to develop a stable process, and doesn't lead to optimal solutions in many cases. Numerical approaches, such as infusion modeling, are gaining increasing acceptance in the composite industry to better tackle these challenges. modeling is helping to develop the manufacturing scheme and reducing the need for trial and error in process development. Increasing the number of resin channels in the flow path with sequential injection is frequently used to reduce the infusion time in wind turbine blade manufacturing. For scenarios where the permeability is changing along the flow path as driven by the preform layup, the challenge is to identify the optimum locations of the resin channels so that the lowest fill time can be achieved for a given number of resin channels. Developing optimum positioning of resin channels using finite element based flow software involves many of iterations and does not always ensure an optimum solution. In this work, an analytical framework is presented to optimize the resin channel locations, which would help eliminate need for iterative simulation process of complex geometries as in wind blades.

关键词： Resins

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Computationally efficient multi-objective optimization of and experimental validation of Yagi-Uda antenna

Computationally efficient multi-objective optimization of an...

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International conference on simulation and modeling Methodologies, Technologies and Applications (SIMULTECH)

作者： Adrian Bekasiewicz Slawomir Koziel Leifur Leifsson Faculty of Electronics Gdansk University of Technology Gdansk Poland Engineering Optimization & Modeling Center Reykjavik University Menntavegur 1 101 Iceland Engineering Optimization & Modeling Center Reykjavik University Reykjavik Iceland

In this paper, computationally efficient multi-objective optimization of antenna structures is discussed. As a design case, we consider a multi-parameter planar Yagi-Uda antenna structure, featuring a driven element, three directors, and a feeding structure. Direct optimization of the high-fidelity electromagnetic (EM) antenna model is prohibitive in computational terms. Instead, our design methodology exploits response surface approximation (RSA) models constructed from sampled coarse-discretization EM simulation data. The RSA model is utilized to determine the Pareto optimal set of the best possible trade-offs between conflicting objectives. In order to alleviate the difficulties related to a large number of designable parameters, the RSA model is constructed in the initially reduced design space, where the lower/upper parameter bounds are estimated by solving appropriate single-objective problems resulting in identifying the extreme point of the Pareto set. The main optimization engine is multi-objective evolutionary algorithm (MOEA). Selected designs are subsequently refined using space mapping technique to obtain the final representation of the Pareto front at the high-fidelity EM antenna model level. The total design cost corresponds to less than two hundred of EM antenna simulations.

关键词： optimization Computational modeling Radio frequency Yagi-Uda antennas Approximation methods Algorithm design and analysis

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Power system model identification exploiting the Modelica language and FMI technologies

Power system model identification exploiting the Modelica la...

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IEEE International conference on Intelligent Energy and Power Systems (IEPS)

作者： Luigi Vanfretti Tetiana Bogodorova Maxime Baudette Electric Power Systems Department Smart Transmission Systems Lab. (SmarTS Lab) KTH Royal Institute of Technology Stockholm Sweden

This article provides an overview of the work performed at SmarTS Lab on power system modeling and system identification within the FP7 iTesla project. The work was performed using Modelica as the modeling language for phasor time domain simulation and FMI (Flexible Mock-up Interface) Technologies for coupling Modelica models with simulation and optimization tools. The article focuses on use case examples of these Modelica models in an FMI driven environment to perform parameter identification.

关键词： Mathematical model Load modeling Aggregates Reactive power Software packages optimization

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2nd International conference on Digital Enterprise Design and Management, DEDandM 2014

2nd International Conference on Digital Enterprise Design an...

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2nd International conference on Digital Enterprise Design and Management, DEDandM 2014

ISBN: (纸本)9783319043128

The proceedings contain 24 papers. The special focus in this conference is on Digital Enterprise Design and Management. The topics include: Designing future enterprises;the customer relationship management at the era of smartphones;study of the project mobile-dinar within the Arab international bank of Tunisia;a journey from big data to smart data;harnessing multimodal architectural dependencies for IT-business alignment and portfolio optimization;towards a model-driven-architecture process for smart grid projects;an IT system for collaborative multi-criteria decision-making;blueprinting for technology-based service;urbanization of information systems;improving sustainability of energy production;a dynamic agent-based modeling framework for digital business models;the impact of 3D printing technologies on business model innovation;accelerating innovation through modular design;the logic of the reference in the IT economy;conceptual design and simulation of an automotive body shop assembly line;using models for building strong organizations;quantifying risk of acquisition portfolios;five key priorities for enterprise architects involved in cloud and data center projects and towards an integrated management of business models and enterprise architecture.

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Phase-spacing optimization of linear microstrip antenna arrays by EM-based superposition models

Phase-spacing optimization of linear microstrip antenna arra...

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Antennas and Propagation conference, LAPC, Loughborough

作者： Slawomir Koziel Stanislav Ogurtsov Engineering Optimization and Modeling Center Reykjavik University Reykjavik Iceland

A technique for simulation-driven optimization of phase excitation tapers and spacings for linear arrays of microstrip antennas is presented. It exploits two models of the array under design: an array factor-based model and a simulation-based surrogate model. The former produces an initial design. The latter is used for tuning of the array radiation response as well as for validation of the final design. The simulation-based model is constructed as a superposition of simulated responses of the array under design. Low computational costs are ensured by coarse-mesh simulations. Suitable correction is carried out with respect to the high-fidelity array model. This correction is iteratively performed in the optimization process. Our technique is demonstrated with radiation response synthesis of linear arrays comprising thirty two microstrip patch antennas by phase-spacing optimization.

关键词： optimization Microstrip antenna arrays Linear antenna arrays Phased arrays Radio frequency Finite element analysis

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Design of microstrip antenna subarrays: a simulation-driven surrogate-based approach

Design of microstrip antenna subarrays: a simulation-driven ...

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International conference on Microwaves, Radar and Wireless Communications

作者： A. Bekasiewicz W. Zieniutycz S. Koziel S. Ogurtsov Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland Engineering Optimization and Modeling Center Reykjavik University Reykjavik Iceland

A methodology for computationally efficient simulation-driven design of microstrip antenna subarrays is presented. Our approach takes into account the effect of the feed (here, a corporate network) on the subarray side-lobe level and allows adjustment of both radiation and reflection responses of the structure under design within a single automated process. This process is realized as surrogate-based optimization that produces designs meeting requirements imposed on both radiation and reflection at the cost of just a few simulations of the high-fidelity model of the structure of interest. Selected optimal designs of microstrip subarrays operating at 10 GHz have been manufactured and validated by measuring their radiation patterns and reflection coefficients.

关键词： optimization Microstrip antenna arrays Microstrip Reflection Microstrip antennas Radio frequency Feeds

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Classification aided domain reduction for high dimensional optimization 14

Classification aided domain reduction for high dimensional o...

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simulation Winter conference

作者： Prashant Singh Francesco Ferranti Dirk Deschrijver Ivo Couckuyt Tom Dhaene Dept. of Information Technology (INTEC) Gaston Crommenlaan Ghent University - iMinds BELGIUM

ISBN: (纸本)9781479974870

Engineering design optimization often involves computationally expensive time consuming simulations. Although surrogate-based optimization has been used to alleviate the problem to some extent, surrogate models (like Kriging) struggle as the dimensionality of the problem increases to medium-scale. The enormity of the design space in higher dimensions (above ten) makes the search for optima challenging and time consuming. This paper proposes the use of probabilistic support vector machine classifiers to reduce the search space for optimization. The proposed technique transforms the optimization problem into a binary classification problem to differentiate between feasible (likely containing the optima) and infeasible (not likely containing the optima) regions. A model-driven sampling scheme selects batches of probably-feasible samples while reducing the search space. The result is a reduced subspace within which existing optimization algorithms can be used to find the optima. The technique is validated on analytical benchmark problems.

关键词： optimization Support vector machines Algorithm design and analysis Training Vectors Computational modeling Probabilistic logic

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7th International conference on Intelligent Robotics and Applications, ICIRA 2014

7th International Conference on Intelligent Robotics and App...

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7th International conference on Intelligent Robotics and Applications, ICIRA 2014

ISBN: (纸本)9783319139623

The proceedings contain 108 papers. The special focus in this conference is on Intelligent Robotics and Applications. The topics include: Kinematics dexterity analysis and optimization of 4-UPS-UPU parallel robot manipulator;elastodynamics of the rigid-flexible 3-RRR mechanism using ANCF method;experimental study on joint positioning control of an ultrasonic linear motor driven planar parallel platform;experimental characterization of self-excited vibration of a 3-RRR parallel robot;design of less-input more-output parallel mechanisms;error modeling and simulation of a 2- DOF high-speed parallel manipulator;fuzzy PD compliance control of 6-DOF robot using disturbed force sense;research scheduling problem of job-shop robotic manufacturing cell with several robots;research on robotic trajectory automatic generation method for complex surface grinding and polishing;the control system design of a SCARA robot;trajectory planning with bezier curve in cartesian space for industrial gluing robot;an ultrasonic instrument for osteoporosis detecting and avoiding of the kinematic singularities of contemporary industrial robots;research on surface mounted IC devices inspection based on leads features;a fast coplanarity inspection system for double-sides IC leads using single viewpoint;an adaptive enhancement algorithm of materials bag image of industrial scene;a stereo visual interface for manipulating the grasping operation of a fruit-harvesting robot;calibration of a robot vision system coupled with structured light;a contour detection approach for mobile robot;accuracy of determining the coordinates of points observed by camera and localization using vision-based robot.

关键词： Grinding (machining)

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