Modeling and simulation

About: Modeling and simulation is a research topic. Over the lifetime, 10273 publications have been published within this topic receiving 111550 citations.

Operational modeling and simulation of an inter-bay AMHS in semiconductor wafer fabrication

Abstract: This paper studies the operational logic in an inter-bay automated material handling system (AMHS) in semiconductor wafer fabrication. This system consists of stockers located in a two-floor layout. Automated moving devices transfer lots between stockers within the same floor (intra-floor lot transfer) or between different floors (inter-floor lot transfer). Intra-floor lot-transferring transports use a two-rail one-directional system, whereas inter-floor lot-transferring transports use lifters. The decision problem consists of selecting rails and lifters that minimize average lot-delivery time. Several operation rules to deliver lots from source stocker to destination stocker are proposed and their performance is evaluated by discrete event simulation.

Modeling and simulation of a drum boiler-turbine power plant under emergency state control.

Abstract: Thesis. 1977. M.S.--Massachusetts Institute of Technology. Dept. of Mechanical Engineering.

Modeling and simulation of VLSI interconnections with moments

Abstract: a a a 1-Abstract This thesis presents a new CAD simulation method for determining waveform estimates of MOS circuits. The methods are particularly useful in determining the delay times and coupling noise voltages of interconnection networks. Additionally, switching devices are also accurately emulated with a macromodeled equivalent circuit. The moment representation, based on the Laplace Transform, is used as the model for both signals and transfer functions of interconnection networks. A large interconnection network can be modeled by a small number of polynomial terms, making network analysis much simpler, computationally. A new matrix algorithm is developed for solving for the moment representation of almost any linear network. Transistor switching circuits are modeled by macromodeled linear network equivalents. On CMOS test circuits, after several logic stages the moment representation waveforms deviated no more than 10% from SPICE's waveforms, but were computed substantially faster than SPICE. The simulation speed is further improved by "compiling" results, in which an entire switching and interconnection circuit is represented by a macromodeled moment representation approximation. Thesis Supervisor: Jonathan Allen Professor 3 4 IF __ _ _ __ dir 00 Acknowledgments First, I would like to thank Jonathan Allen, my advisor, for his inspiration and encouragement , and for providing the flexibility to define my own work as it progressed. Thanks also to my thesis readers, John Wyatt and Jacob White, for actually reading all 182 pages and for providing good feedback. I thank my friends-particularly Keith Nabors, Andy Ayers and Don Baltus, who expressed occasional interest in this work, and Bob Armstrong, Cyrus Bamji, Barry Thompson and Mark Reichelt, who have been around on the eighth floor through the whole thing. I also thank Dorothy Fleischer. Mostly, I thank my wife, Lynne, for three things: her technical assistance in the form of the work frequently cited in Chapter 6, her emotional support, and her patience as I strived to make this thesis as good as possible. Lastly, I gratefully acknowledge my sponsor, the Joint Services Electronics Program, for supporting this research.

Modeling and simulation of large memristive networks

Abstract: Summary The paper deals with the modeling of memristors operating in extremely large memristive networks such as crossbar structures for memory and computational circuits, memristor-based neural networks or circuits for massively parallel analog computations. Because the non-convergence and other numerical problems increase with increasing complexity of the simulated circuit, suitable models of the individual memristors need to be choicely developed and optimized. Three different models are considered, each representing a specific trade-off between speed and accuracy. Benchmark circuits for testing the applications of various complexities are used for the transient analysis in HSPICE. It is shown how the models can be modified to minimize the simulation time and improve the convergence. Copyright © 2017 John Wiley & Sons, Ltd.

Modeling and Simulation in Engineering Sciences

Abstract: This book features state-of-the-art contributions in mathematical, experimental and numerical simulations in engineering sciences. The contributions in this book, which comprise twelve chapters, are organized in six sections spanning mechanical, aerospace, electrical, electronic, computer, materials, geotechnical and chemical engineering. Topics include metal micro-forming, compressible reactive flows, radio frequency circuits, barrier infrared detectors, fiber Bragg and long-period fiber gratings, semiconductor modelling, many-core architecture computers, laser processing of materials, alloy phase decomposition, nanofluids, geo-materials and rheo-kinetics. Contributors are from Europe, China, Mexico, Malaysia and Iran. The chapters feature many sophisticated approaches including Monte Carlo simulation, FLUENT and ABAQUS computational modelling, discrete element modelling and partitioned frequency-time methods. The book will be of interest to researchers and also consultants engaged in many areas of engineering simulation.