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Thermodynamics in Nuclear Power Plant Systems, Zohuri Bahman, McDaniel Patrick


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Цена: 111790.00T
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Автор: Zohuri Bahman, McDaniel Patrick
Название:  Thermodynamics in Nuclear Power Plant Systems
ISBN: 9783030067458
Издательство: Springer
Классификация:



ISBN-10: 3030067459
Обложка/Формат: Paperback
Страницы: 712
Вес: 1.02 кг.
Дата издания: 20.12.2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 145 tables, color; 158 illustrations, color; 267 illustrations, black and white; xxiv, 712 p. 425 illus., 158 illus. in color.
Размер: 234 x 156 x 37
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This revised book covers the fundamentals of thermodynamics required to understand electrical power generation systems, honing in on the application of these principles to nuclear reactor power systems. This text treats the fundamentals of thermodynamics from the perspective of nuclear power systems. In addition to the Four Laws of Thermodynamics, it discusses Brayton and Rankine power cycles in detail with an emphasis on how they are implemented in nuclear systems. Chapters have been brought up-to-date due to significant new results that have become available for intercooled systems and combined cycles and include an updated steam table. The book starts with basic principles of thermodynamics as applied to power plant systems. It then describes how Nuclear Air-Brayton systems will work. It documents how they can be designed and the expected ultimate performance. It describes several types of Nuclear Air-Brayton systems that can be employed to meet different requirements and estimates component sizes and performance criteria for Small Modular Reactors (SMR) based on the Air-Brayton concept. The book provides useful insight into the engineering of nuclear power systems for students and the tabular data will be of great use to practicing engineers.
Дополнительное описание: Definitions and Basic Principles.- Properties of Pure Substances.- Mixture.- Work and Heat.- First Law of Thermodynamics.- The Kinetic Theory of Gases.- Second Law of Thermodynamics.- Reversible Work, Irreversibility, and Exergy (Availability).- Gas Kinet


Artificial Intelligence Driven by a General Neural Simulation System (Genesis)

Автор: Bahman Zohuri, Masoud Moghaddam
Название: Artificial Intelligence Driven by a General Neural Simulation System (Genesis)
ISBN: 1536131962 ISBN-13(EAN): 9781536131963
Издательство: Nova Science
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Цена: 336850.00 T
Наличие на складе: Невозможна поставка.
Описание: The last several years have seen a dramatic increase in the number of neurobiologists building or using computer-based models as a regular part of their efforts to understand how different neural systems function. As experimental data continue to amass, it is increasingly clear that detailed physiological and anatomical data alone are not enough to infer how neural circuits work. Experimentalists appear to be recognizing the need for the quantitative approach to explore the functional consequences of particular neuronal features that are provided by modeling. This combination of modeling and experimental work has led to the creation of the new discipline of computational neurosciences. More than the use of models per se, the authors believe that computational neuroscience is most distinguished from classical neurobiology due to an explicit focus on how the nervous system computes. Thus, instead of obtaining experimental information about the structure of the nervous system for its own sake, a computational approach involves collecting the information most relevant to the advancement of functional understanding. In our hands, models, especially those based on the detailed physiology and anatomy of the brain region in question, capture what is known about this region while also directing further experimental investigations. These same models can then provide an interpretation for the obtained data. Thus, the interaction between experiments and computer modeling is increasingly iterative and interdependent.


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