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: 10662.00 р. Наличие на складе: Заказано в издательстве.
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.
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.
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.
Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations.
Provides insights on the development of new mathematical models of power system optimization
Analyzes power systems comprehensively to create novel mathematic models and algorithms for issues related to the planning operation of power systems
Includes research on the optimization of power systems and related practical research projects carried out since 1981
Описание: Dieses aktuelle Referenzwerk behandelt numerische Optimierungsmethoden f 1/4r Str mungsmaschinen und die wichtigsten industriellen Anwendungen. Grundlagen sind umfangreiche Forschung und Erfahrung der Autoren. Die logischen Zusammenh nge, um den Bereich der numerischen Str mungssimulation (CFD) zu verstehen, werden anhand der Grundlagen der Str mungsmechanik, von Str mungsmaschinen und ihrer Komponenten erl utert. Im Anschluss folgt eine Einf 1/4hrung in Methoden der Ein- und Mehrzieloptimierung, die automatische Optimierung, in Ersatzmodelle und Entwicklungsalgorithmen. Das Fachbuch schlie Ÿt mit der ausf 1/4hrlichen Erkl rung von Designans tzen und Anwendungen f 1/4r Pumpen, Turbinen, Kompressoren und weiteren Systemen von Str mungsmaschinen. Der Nachdruck liegt hier bei Systemen f 1/4r erneuerbare Energien. - Die Autoren sind f 1/4hrende Experten des Fachgebiets. - Ein handliches Fachbuch zu Optimierungsmethoden mittels numerischer Str mungssimulation bei Str mungsmaschinen. - Beschreibt wichtige Anwendungsbereiche in der Industrie und enth lt Kapitel zu Systemen f 1/4r erneuerbaren Energien. Design Optimization of Fluid Machinery ist ein wichtiger Leitfaden f 1/4r Graduierte, Forscher und Ingenieure aus den Bereichen Str mungsmaschinen und zugeh rige Optimierungsmethoden. Als Fachbuch mit allem Wissenswerten zu dem Thema richtet es sich an Studenten h herer Semester der Fachrichtungen Maschinenbau und verwandter Bereiche der Str mungssimulation und Luft-/Raumfahrttechnik.
Автор: Ashok D. Belegundu, Tirupathi R. Chandrupatla Название: Optimization Concepts and Applications in Engineering ISBN: 1108424880 ISBN-13(EAN): 9781108424882 Издательство: Cambridge Academ Рейтинг: Цена: 16474.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A revised and expanded third edition, this book integrates theory, modeling, the development of numerical methods, and problem solving to apply optimization to real-world problems. This book is ideal for advanced undergraduate, graduate and applied mathematics courses as well as practicing engineers.
Автор: Dhar, P.L. Название: Thermal System Design and Simulation ISBN: 0128094494 ISBN-13(EAN): 9780128094495 Издательство: Elsevier Science Рейтинг: Цена: 17517.00 р. 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.
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.
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: Zhu, Ji-Hong Название: Topology Optimization in Engineering Structure Design ISBN: 1785482246 ISBN-13(EAN): 9781785482243 Издательство: Elsevier Science Рейтинг: Цена: 17517.00 р. 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.
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.
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