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

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Research on chemical process simulation system using distributed virtual reality

Research on chemical process simulation system using distrib...

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3rd International conference on Information and Computing, ICIC 2010

作者： Chen, Cheng-Jun Liu, Feng-Shi Li, Niu School of Mechanical Engineering Qingdao Technological University Qingdao China School of Mechanical Engineering Shan Dong University Jinan China

ISBN: (纸本)9780769540474

In order to reduce danger and cost in physical chemical process training and testing, this paper proposed a chemical process simulation system based on distributed virtual reality technology. According to characters of an existing chemical engineering system and functions for simulation system to be designed, a framework for data-driven simulation was proposed, and some related key technologies, such as modeling virtual environment and process path calculation, were presented. At last, a distributed interactive chemical process simulation system with abilities of chemical process training, monitoring, testing and replaying was developed. The system developed in this paper was put into practical use and proven to be helpful for chemical process training, design and optimization. © 2010 IEEE.

关键词： Virtual reality

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MULTI-CRYSTALLINE SILICON INGOTS GROWTH WITH AN INNOVATIVE INDUCTION HEATING DIRECTIONAL SOLIDIFICATION FURNACE

MULTI-CRYSTALLINE SILICON INGOTS GROWTH WITH AN INNOVATIVE I...

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IEEE Photovoltaic Specialists conference

作者： Fabrizio Dughiero Michele Forzan Dario Ciscato Francesco Giusto Department of Electrical Engineering University of Padua

ISBN: (纸本)9781424499663

Multi-crystalline silicon ingots produced using directional solidification systems (DSS) represent the best way to obtain high quality crystalline silicon at low prices and with high throughputs. The DSS technology is widespread among PV silicon ingot producers and hundreds of furnaces are manufactured worldwide every year. The present challenge for crystal growers is to increase the maximum ingot mass in order to benefit from scale economy profits and to reduce energy consumption. This reason has pushed some companies to develop new DSS furnaces able to grow ingots up to 650 kg. As a matter of fact, the increase in size defines new challenges in design and process optimization due of the intensification of radial thermal instabilities and consequently of buoyancy driven flows in the melt [1]. These phenomena are related to heat and mass transfer during the solidification process and are important to control both the liquid/solid interface shape and the impurities distribution in the crystal [2,3,4,5,6]. The main features and the characteristic design of the hot-zone in the iDSS (induction-DSS) furnace are taken into account, especially in comparison with the standard DSSs ones. The reduction in thickness of the insulation boards and the smaller size of the hot-zone itself, together with the selective lateral induction coil system, all lead to an optimal control of the thermal instabilities into the silicon melt, increasing the ingot quality. In fact, the lateral induction coil system equipped with independent turns connections can be used to force selectively - at different vertical positions - the most suitable thermal condition. In this way one is able to compensate the radiative thermal losses and create a "virtual" adiabatic wall, producing a perfectly planar solidification front or modeling the radial thermal gradient in order to obtain the desired solidification front shapes. The results from a set of electro-magnetic, thermal and fluid-dynamic simulation are

关键词： ingots Furnaces thermal instability Directional solidification thermal insulation board Coagulation characteristic design Hot zone Silicon Digital Signature Standard deep seismic sounding Process optimization

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Application of Enterprise modeling and Analysis to the Transportation Security Administration's Air Cargo Security Cost Estimation Project

Application of Enterprise Modeling and Analysis to the Trans...

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44th Annual 2010 IEEE International Carnahan conference on Security Technology

作者： Rao, Ed Nestor, John Pillai, Rekha Transportat Secur Adm 601 S 12th St Arlington VA 22202 USA Oak Ridge Natl Lab Oak Ridge TN 37831 USA

ISBN: (纸本)9781424474004

The terrorist attacks of September 11, 2001 crystallized public awareness and concern over issues of aviation security. As the nation has brought greater levels of inspection and other security measures to bear on passengers and baggage, concerns have mounted that air cargo will become vulnerable to delivering explosive threats to aircraft. In the "9/11" bill, Congress mandated TSA to screen 50% of air cargo on passenger-carrying aircraft by February 2009 and 100% by August 2010. Therefore, TSA will eliminate all exemptions to screening cargo, resulting in an increased amount of cargo subject to mandatory screening. Oak Ridge National Laboratory's (ORNL's) Enterprise modeling and Analysis (EMA) tool is being used to help TSA meet its air cargo screening mandates. ORNL is developing defensible cost estimates for implementing optimal screening systems at the top ten passenger airports and top five all-cargo airports. EMA is used to determine optimal screening strategies (maximum affinity, minimum cost) and to estimate life-cycle costs. This paper details the EMA framework and its integrated optimization-and lifecycle-based modeling approach. The EMA system balances security system effectiveness and costs driven by local air cargo mix, priority, volume, and packaging and consolidation configurations and infrastructure, operations, and business constraints.

关键词： Enterprize Model Architecture modeling optimization Model simulation Model Life Cycle Model Cost Estimating

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The application of simulation tools to ultra-deep water development programs and its relevance to space exploration

The application of simulation tools to ultra-deep water deve...

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AIAA SPACE conference and Exposition 2010

作者： Sager, Frank Oceaneering Houston TX 77565 United States

ISBN: (纸本)9781600869662

Oceaneering has developed highly reliable contact physics simulation systems in support of the ultra-deepwater oil and gas industry. This paper provides an overview of how simulation is used offshore, explains Oceaneering's use of simulation tools to validate requirement-driven design concepts in complex ultradeepwater operations, and describes how a similar system could be used to validate space exploration designs and operational scenarios. There are many program phases from ultra-deepwater projects that are analogous to space exploration. Conceptual design, tooling and system design validation, and worksite design validation are required in both applications. Comparable specialized engineering support and virtual system integrated testing is conceivable, and operations planning can draw on experience from subsea projects. The optimization of procedures as they relate to simulation and modeling for the space exploration functional areas of integrated flight performance, operations integration, guidance navigation & control, human factors, and habitability can be developed in a similar manner. © 2010 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Space research

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A data-driven bilinear subspace predictive controller design

A data-driven bilinear subspace predictive controller design

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2010 8th IEEE International conference on Control and Automation, ICCA 2010

作者： Yang, Hua Li, Shaoyuan College of Information Science and Engineering Ocean University of China Qingdao China Institute of Automation Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781424451951

In this paper, a new data-driven model predictive control (MPC) is considered based on bilinear subspace identification. The system's nonlinear behavior is described with a bilinear subspace predictor structure in MPC framework. Thus, the MPC formulation results in a fixed structure objective function with constraints regardless of the underlying nonlinearity. Therefore, a bilinear predictive control is implemented by exploiting the structural properties of the identified bilinear subspace predictor model. The open-loop optimization problem of MPC that is nonlinear in nature is solved with series quadratic programming (SQP) without any approximations. These improvements and closely integration of modeling and control also eliminate the intermediate design step, which provides a means for data-driven controller design in generalized predictive controller (GPC) framework. Finally, the proposed control approach is illustrated with a simulation of a nonlinear continuously stirred tank reactor (CSTR) system. © 2010 IEEE.

关键词： Model predictive control

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A hybrid PSO-self regulating VSC-SMC controller for PV-FC-diesel-battery renewable energy scheme for buildings electricity utilization

A hybrid PSO-self regulating VSC-SMC controller for PV-FC-di...

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Asia Modelling Symposium 2010: 4th International conference on Mathematical Modelling and Computer simulation, AMS2010

作者： Sharaf, Adel M. El-Gammal, Adel A. A. Energy Research Centre University of Trinidad and Tobago UTT Trinidad and Tobago

ISBN: (纸本)9780769540627

The paper presents the dynamic modeling and coordinated control strategy for an integrated micro grid scheme using Photo Voltaic PV, Fuel Cell FC, and backup Diesel generation with additional battery backup system. The integrated scheme is fully stabilized using a novel FACTS based green filter compensators that ensures stabilized DC bus voltage, minimal inrush current conditions, and load excursions while ensuring that the diesel generator set is only utilized when the demand energy exceeds the PV, FC and battery sources capacity within a specified operational levels to ensure highest efficient operation of the integrated renewable energy sources with the diesel engine. The paper presents a novel application of Multi Objective Particle Swarm optimization MOPSO to control the 6-pulse controlled rectifier converter, dynamic filter/capacitor compensation DFC and the Green Power Filter GPF AC and DC schemes using real time dynamic self regulating error tracking. A tri-loop error driven dynamic controller is used to adjust the PWM switching of the DFCDynamic AC side filter compensator and green power filter. © 2010 IEEE.

关键词： Particle swarm optimization (PSO)

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Temporal Inference and simulation in Collaborative Design Process Based on Time Petri Net

Temporal Inference and Simulation in Collaborative Design Pr...

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International conference on Mechanical Engineering and Green Manufacturing (MEGM) 2010

作者： Guo Yinzhang Zeng Jianchao Taiyuan Univ Sci & Technol Complex Syst & Computat Intelligence Lab Taiyuan 030024 Shanxi Peoples R China

ISBN: (纸本)9780878492329

Complex manufacture collaborative design process is a dynamic process with uncertainty, which is a process with multi-task executing in a parallel manner. It has obviously time constraint, which has been few studied up to now. Temporary inference and simulation problem for complex manufacture design process are mainly studied in this paper. Firstly, a Petri net model for collaborative design process is proposed based on time Petri net theory and four temporary inference algorithms of ordering, paralleling, selecting and circling structures in collaborative design process. Secondly, the authors design and develop a visually modeling and simulating circumstance for collaborative design process temporary inference based on time Petri net. Temporary inference for the whole collaborative design process and optimization to design task can be implemented by this simulation software. Finally, collaborative design process for driver of chain-transportation-driven equipment is undertaken to shown the efficiency of the proposed method. Research in this paper affords a determinant principle for time arrangement of collaborative design task and it also affords schema scheduling.

关键词： time Petri net collaborative design process temporary inference procedure simulation

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Reliable simulation-driven microwave design optimization using manifold mapping

Reliable simulation-driven microwave design optimization usi...

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European conference on Microwave

作者： Slawomir Koziel D Echeverría Echeverría Ciaurri Engineering Optimization & Modeling Center School of Science and Engineering Reykjavik University Reykjavik Iceland Department of Energy Resources Engineering School of Earth Science University of Stanford Stanford CA USA

A reliable algorithm for computationally efficient simulation-driven design optimization of microwave structures is introduced. Our approach exploits manifold mapping (MM), a response correction technique that aligns the coarse model (computationally cheap representation of the structure under consideration) with the accurate but CPU-intensive (fine) model of the optimized device. MM model does not use any extractable parameters which makes it easy to implement. Efficiency and excellent convergence properties of the proposed algorithm is demonstrated through the design of several microstrip filters.

关键词： Microwave filters Integrated circuit modeling optimization Band pass filters Microwave circuits Microstrip filters

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Numerically efficient design optimization of a printed 2.45 GHz Yagi antenna

Numerically efficient design optimization of a printed 2.45 ...

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European conference on Antennas and Propagation, EuCAP

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

simulation-driven design of a 2.45 GHz quasi-Yagi antenna is presented that exploits a coarse-discretization antenna model and surrogate-based optimization algorithm. The design objectives include maximum directivity of the principal polarization, input impedance, side lobe level, front-to-back ratio, and direction of maximal radiation. The computation cost of the design process is low because most of the operations are performed on the coarse-discretization model, whereas the high-fidelity simulation is only used for setting up and updating the surrogate model, as well as for design verification.

关键词： Design optimization Yagi-Uda antennas Brain modeling Computational modeling Algorithm design and analysis Polarization Impedance High performance computing Computational efficiency Process design

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European Microwave Week 2010, EuMW2010: Connecting the World, conference Proceedings - European Microwave conference, EuMC 2010

European Microwave Week 2010, EuMW2010: Connecting the World...

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13th European Microwave Week 2010, EuMW2010: Connecting the World - 40th European Microwave conference, EuMC 2010

ISBN: (纸本)9782874870163

The proceedings contain 450 papers. The topics discussed include: a 0.8-1.5 GHz multi-standard WCDMA receiver with an inter-stage tunable notch filter;a BPSK/QPSK receiver architecture suitable for low-cost ultra-high rate 60 GHz wireless communications;complex 2D discontinuities analysis using hybrid finite element method and a modified multimodal variational formulation-application to filter design;wideband TLM modeling of microwave structures with anisotropic and dispersive media;a SPDT switch in a standard 45 nm CMOS process for 94 GHz applications;reliable simulation-driven microwave design optimization using manifold mapping;a miniaturized L-band 4-bit differential VGA using resistance-selectable bridged-T attenuators for a fine tuning of gain;a super-compact dual-band Wilkinson power divider composed of multi-layered CRLH transmission lines;and a triple-band SiGe HBT differential VCO using a reconfigurable multi-band resonator.

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