Essentials of Thermal System Design and Optimization, Balaji, C.
Автор: Nocedal, Jorge. Название: Numerical Optimization ISBN: 0387303030 ISBN-13(EAN): 9780387303031 Издательство: Springer Рейтинг: Цена: 71080.00 T Наличие на складе: Ожидается поступление. Описание: Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.
Автор: Dhar, P.L. Название: Thermal System Design and Simulation ISBN: 0128094494 ISBN-13(EAN): 9780128094495 Издательство: Elsevier Science Рейтинг: Цена: 116780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Thermal System Design and Simulation covers the fundamental analyses of thermal energy systems that enable users to effectively formulate their own simulation and optimal design procedures. This reference provides thorough guidance on how to formulate optimal design constraints and develop strategies to solve them with minimal computational effort.
The book uniquely illustrates the methodology of combining information flow diagrams to simplify system simulation procedures needed in optimal design. It also includes a comprehensive presentation on dynamics of thermal systems and the control systems needed to ensure safe operation at varying loads.
Designed to give readers the skills to develop their own customized software for simulating and designing thermal systems, this book is relevant for anyone interested in obtaining an advanced knowledge of thermal system analysis and design.
Автор: Chen Chun-Hung, Jia Qing-Shan, Lee Loo Hay Название: Stochastic Simulation Optimization for Discrete Event Systems: Perturbation Analysis, Ordinal Optimization and Beyond ISBN: 9814513008 ISBN-13(EAN): 9789814513005 Издательство: World Scientific Publishing Рейтинг: Цена: 85530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Discrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a "hard nut to crack." The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and developed by Professor Y C Ho and his team; namely perturbation analysis and ordinal optimization for stochastic simulation optimization, and present the state-of-the-art technology, and their future research directions.
Автор: Norbert Kroll; Dieter Schwamborn; Klaus Becker; He Название: MEGADESIGN and MegaOpt - German Initiatives for Aerodynamic Simulation and Optimization in Aircraft Design ISBN: 3642260624 ISBN-13(EAN): 9783642260629 Издательство: Springer Рейтинг: Цена: 315850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Contains results of the German CFD initiative megadesign which combines CFD development activities from DLR, universities and aircraft industry. This title highlights improvements and enhancements of the flow solvers as well as developments with respect to aerodynamic and multidisciplinary shape optimization.
Автор: Norbert Kroll; Dieter Schwamborn; Klaus Becker; He Название: MEGADESIGN and MegaOpt - German Initiatives for Aerodynamic Simulation and Optimization in Aircraft Design ISBN: 3642040926 ISBN-13(EAN): 9783642040924 Издательство: Springer Рейтинг: Цена: 315850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Reduction of Simulation Time.- Recent Developments of TAU Adaptation Capability.- Adaptive Wall Function for the Prediction of Turbulent Flows.- Acceleration of CFD Processes for Transport Aircraft.- Efficient Combat Aircraft Simulations with the TAU RANS Code.- Improvement of Simulation Quality.- Universal Wall Functions for Aerodynamic Flows: Turbulence Model Consistent Design, Potential and Limitations.- Computational Modelling of Transonic Aerodynamic Flows Using Near-Wall, Reynolds Stress Transport Models.- Transition Prediction for Three-Dimensional Configurations.- Application of Transition Prediction.- Numerical Simulation Quality Assessment for Transport Aircraft.- Fluid Structure Coupling.- Computational Methods for Aero-Structural Analysis and Optimisation of Aircrafts Based on Reduced-Order Structural Models.- Development and Application of TAU-ANSYS Coupling Procedure.- Fluid-Structure Coupling: Simplified Structural Model on Complex Configurations.- Improvement of Shape Optimization Strategies.- Development of an Automated Artificial Neural Network for Numerical Optimization.- modeFRONTIER(c), a Framework for the Optimization of Military Aircraft Configurations.- One-Shot Methods for Aerodynamic Shape Optimization.- Automatic Differentiation of FLOWer and MUGRIDO.- Adjoint Methods for Coupled CFD-CSM Optimization.- Aerodynamic and Multidisciplinary Optimization of 3D-Configurations.- Aerodynamic Optimization for Cruise and High-Lift Configurations.- Aerodynamic Optimization of an UCAV Configuration.- Flexible Wing Optimisation Based on Shapes and Structures.- Multidisciplinary Optimization of an UAV Combining CFD and CSM.
Автор: Zhu, Ji-Hong Название: Topology Optimization in Engineering Structure Design ISBN: 1785482246 ISBN-13(EAN): 9781785482243 Издательство: Elsevier Science Рейтинг: Цена: 116780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Topology Optimization in Engineering Structure Design explores the recent advances and applications of topology optimization in engineering structures design, with a particular focus on aircraft and aerospace structural systems. To meet the increasingly complex engineering challenges provided by rapid developments in these industries, structural optimization techniques have developed in conjunction with them over the past two decades. The latest methods and theories to improve mechanical performances and save structural weight under static, dynamic and thermal loads are summarized and explained in detail here, in addition to potential applications of topology optimization techniques such as shape preserving design, smart structure design and additive manufacturing. These new design strategies are illustrated by a host of worked examples, which are inspired by real engineering situations, some of which have been applied to practical structure design with significant effects. Written from a forward-looking applied engineering perspective, the authors not only summarize the latest developments in this field of structure design but also provide both theoretical knowledge and a practical guideline. This book should appeal to graduate students, researchers and engineers, in detailing how to use topology optimization methods to improve product design.
Автор: Lopes Dos Santos Paulo Et Al Название: Linear Parameter-Varying System Identification: New Developments And Trends ISBN: 9814355445 ISBN-13(EAN): 9789814355445 Издательство: World Scientific Publishing Рейтинг: Цена: 138330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Reports the Linear Parameter Varying (LPV) system identification. This book contains twelve chapters, focusing on the LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, and more.
oadly speaking, there are two general approaches to teaching mathematical modeling: 1) the case study approach, and 2) the method based approach (that teaches mathematical techniques with applications to relevant mathematical models). This text emphasizes instead the scientific issues for modeling different phenomena. For the natural or harvested growth of a fish population, we may be interested in the evolution of the population, whether it reaches a steady state (equilibrium or cycle), stable or unstable with respect to a small perturbation from equilibrium, or whether a small change in the environment would cause a catastrophic change, etc. Each scientific issue requires an appropriate model and a different set of mathematical tools to extract information from the model. Models examined are chosen to help explain or justify empirical observations such as cocktail drug treatments are more effective and regenerations after injuries or illness are fast-tracked (compared to original developments).
Volume I of this three-volume set limits its scope to phenomena and scientific issues that are modeled by ordinary differential equations (ODE). Scientific issues such as signal and wave propagation, diffusion, and shock formation involving spatial dynamics to be modeled by partial differential equations (PDE) will be treated in Vol. II. Scientific issues involving randomness and uncertainty are examined in Vol. III.
oadly speaking, there are two general approaches to teaching mathematical modeling: 1) the case study approach, and 2) the method based approach (that teaches mathematical techniques with applications to relevant mathematical models). This text emphasizes instead the scientific issues for modeling different phenomena. For the natural or harvested growth of a fish population, we may be interested in the evolution of the population, whether it reaches a steady state (equilibrium or cycle), stable or unstable with respect to a small perturbation from equilibrium, or whether a small change in the environment would cause a catastrophic change, etc. Each scientific issue requires an appropriate model and a different set of mathematical tools to extract information from the model. Models examined are chosen to help explain or justify empirical observations such as cocktail drug treatments are more effective and regenerations after injuries or illness are fast-tracked (compared to original developments).
Volume I of this three-volume set limits its scope to phenomena and scientific issues that are modeled by ordinary differential equations (ODE). Scientific issues such as signal and wave propagation, diffusion, and shock formation involving spatial dynamics to be modeled by partial differential equations (PDE) will be treated in Vol. II. Scientific issues involving randomness and uncertainty are examined in Vol. III.
Автор: Gang Lei; Jianguo Zhu; Youguang Guo Название: Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems ISBN: 3662492695 ISBN-13(EAN): 9783662492697 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents various computationally efficient component- andsystem-level design optimization methods for advanced electrical machines anddrive systems.
Автор: Alan Rothwell Название: Optimization Methods in Structural Design ISBN: 3319551965 ISBN-13(EAN): 9783319551968 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers an introduction to numerical optimization methods in structural design. Employing a readily accessible and compact format, the book presents an overview of optimization methods, and equips readers to properly set up optimization problems and interpret the results.
Автор: Jaluria Название: Design & Optimization Of Thermal Sy ISBN: 1498778232 ISBN-13(EAN): 9781498778237 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Design and Optimization of Thermal Systems, Third Edition: with MATLAB(R) Applications provides systematic and efficient approaches to the design of thermal systems, which are of interest in a wide range of applications. It presents basic concepts and procedures for conceptual design, problem formulation, modeling, simulation, design evaluation, achieving feasible design, and optimization. Emphasizing modeling and simulation, with experimentation for physical insight and model validation, the third edition covers the areas of material selection, manufacturability, economic aspects, sensitivity, genetic and gradient search methods, knowledge-based design methodology, uncertainty, and other aspects that arise in practical situations. This edition features many new and revised examples and problems from diverse application areas and more extensive coverage of analysis and simulation with MATLAB(R).
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