Описание: A little over ?ve years have passed since the ?rst edition of this book appeared in print. Seems like an instant but also eternity, especially considering numerous developments in the hardware and software that have made it from the laboratory test beds into the real world of powder diffraction.
Автор: V.K. Jain Название: Micromanufacturing Processes ISBN: 1138076422 ISBN-13(EAN): 9781138076426 Издательство: Taylor&Francis Рейтинг: Цена: 10258.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Increased demand for and developments in micromanufacturing have created a need for a resource that covers both the science and technology of this rapidly growing area. With contributions from eminent professors and researchers actively engaged in teaching, research, and development, Micromanufacturing Processes details the basic principles, tools, techniques, and latest advances in micromanufacturing processes. It includes coverage of measurement techniques and research trends as well as a large number of cross-references, making it useful to the students and researchers alike.
The book outlines the challenges faced not only in micromanufacturing but also in meso- and nanomanufacturing, exploring topics such as micromachining, micro welding, microforming, micromolding, nanofinishing and micro-/nano-metrology. It includes examples that demonstrate the capabilities of fabricating micro- / nano-products and micro- / nano-features on the macro and micro products. The text also discusses nanofinishing techniques giving surface finish in the domain of sub-nano level, micro welding techniques, namely, laser beam micro welding, electron beam micro welding, micro / nano patterning in large quantities, and micro / nano metrology principles and equipments. It goes on to describe devices such as nano spring, micro mixer, micro cantilever, to name just a few.
Unique in its level of coverage, the book highlights new challenges in manufacturing and covers several different types of micromanufacturing processes, such as micromachining, microforming, microcasting, microjoining, nanofinishing, and micrometrology. The level of details, extensive references, figures, and diagrams make the book a reference that will become the standard for this field.
Описание: This significantly extended second edition addresses the important physical phenomenon of Surface Plasmon Resonance (SPR) or Surface Plasmon Polaritons (SPP) in thin metal films, a phenomenon which is exploited in the design of a large variety of physico-chemical optical sensors.
Автор: Pazoki, Meysam Название: Characterization Techniques for Perovskite Solar Cell Materials ISBN: 012814727X ISBN-13(EAN): 9780128147276 Издательство: Elsevier Science Рейтинг: Цена: 26444.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Characterization Techniques for Perovskite Solar Cell Materials: Characterization of Recently-Emerged Perovskite Solar Cell Materials to Provide an Understanding of the Fundamental Physics on the Nano Scale and Optimize the Operation of the Device Towards Stable and Low-Cost Photovoltaic Technology explores the characterization of nanocrystals of the perovskite film, related interfaces, and the overall impacts of these properties on device efficiency. Included is a collection of both main and research techniques for perovskite solar cells. For the first time, readers will have a complete reference of different characterization techniques, all housed in a work written by highly experienced experts.
Explores various characterization techniques for perovskite solar cells and discusses both their strengths and weaknesses
Discusses material synthesis and device fabrication of perovskite solar cells
Includes a comparison throughout the work on how to distinguish one perovskite solar cell from another
Описание: The book focuses on advanced characterization methods for thin-fi lm solar cells that have proven their relevance both for academic and corporate photovoltaic research and development.
Описание: This book provides an overview of the preparation, characterization and application of metal-free functionalized carbons, including carbon nanotubes, graphene, carbon nitride and covalent organic framework (COF).
Автор: Bowen Li; Название: Characterization of minerals, metals, and materials 2019. ISBN: 3030057488 ISBN-13(EAN): 9783030057480 Издательство: Springer Рейтинг: Цена: 40248.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection gives broad and up-to-date results in the research and development of materials characterization and processing. Topics covered include characterization methods, ferrous materials, non-ferrous materials, minerals, ceramics, polymer and composites, powders, extraction, microstructure, mechanical behavior, processing, corrosion, welding, solidification, magnetic, electronic, environmental, nano-materials, and advanced materials The book explores scientific processes to characterize materials using modern technologies, and focuses on the interrelationships and interdependence among processing, structure, properties, and performance of materials.
Описание: Energy costs impact the profitability of virtually all industrial processes.
Автор: Misra, Siddharth Название: Machine Learning for Subsurface Characterization ISBN: 0128177365 ISBN-13(EAN): 9780128177365 Издательство: Elsevier Science Рейтинг: Цена: 18528.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
To continue to meet demand while keeping costs down, petroleum and reservoir engineers know it is critical to utilize their asset's data through more complex modeling methods, and machine learning and data analytics is the known alternative approach to accurately represent the complexity of fluid-filled rocks. With a lack of training resources available, Machine Learning for Subsurface Characterization focuses on the development and application of neural networks, deep learning, unsupervised learning, reinforcement learning, and clustering methods for subsurface characterization under constraints. Such constraints are encountered during subsurface engineering operations due to financial, operational, regulatory, risk, technological, and environmental challenges.
This reference teaches how to do more with less. Used to develop tools and techniques of data-driven predictive modelling and machine learning for subsurface engineering and science, engineers will be introduced to methods of generating subsurface signals and analyzing the complex relationships within various subsurface signals using machine learning. Algorithmic procedures in MATLAB, R, PYTHON, and TENSORFLOW are displayed in text and through online instructional video to assist training and learning. Field cases are also presented to understand real-world applications, with a particular focus on examples involving shale reservoirs.
Explaining the concept of machine learning, advantages to the industry, and applications applied to complex subsurface rocks, Machine Learning for Subsurface Characterization delivers a missing piece to the reservoir engineer's toolbox needed to support today's complex operations.
Focus on applying predictive modelling and machine learning from real case studies and Q&A sessions at the end of each chapter
Learn how to develop codes such as MATLAB, PYTHON, R, and TENSORFLOW with step-by-step guides included
Visually learn code development with video demonstrations included
Описание: This book is about the optimization of the characterization of the thermal properties of building envelopes, through experimental tests and the use of artificial intelligence.
Описание: Provides best-practise manual methods and links them tightly to up-to-date automation algorithms. This book includes tractable examples and explains key techniques. The book will enable readers to select and setup suitable methods for each design task - knowing their prerequisites, advantages and their limitations.
Описание: This book discusses the intelligent optimization and control of complex metallurgical processes, including intelligent optimization and control of raw-material proportioning processes, coking process, and reheating furnaces;
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