Автор: Wasim Ahmed Khan, Khalid Rahman, Ghulam Название: Machine tools : ISBN: 1032116692 ISBN-13(EAN): 9781032116693 Издательство: Taylor&Francis Рейтинг: Цена: 21437.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the applications of Industry 4.0 in machine tools through an overview of the latest available digital technologies. It focuses on digital twinning, communication between industrial controls, motion, and input/output devices, along with sustainability in SMEs.
Автор: Dang Bruce Название: Practical Reverse Engineering ISBN: 1118787315 ISBN-13(EAN): 9781118787311 Издательство: Wiley Рейтинг: Цена: 6653.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Analyzing how hacks are done, so as to stop them in the future Reverse engineering is the process of analyzing hardware or software and understanding it, without having access to the source code or design documents. Hackers are able to reverse engineer systems and exploit what they find with scary results.
Описание: In this pragmatic, down-to-earth guide, you`ll see how applying the core principles of functional programming can result in software designs that model real-world requirements both elegantly and concisely - often more so than an object-oriented approach.
Описание: Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures.
Автор: Knut Gro?mann Название: Thermo-energetic Design of Machine Tools ISBN: 3319126245 ISBN-13(EAN): 9783319126241 Издательство: Springer Рейтинг: Цена: 15957.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The approach to the solution within the CRC/TR 96 financed by the German Research Foundation DFG aims at measures that will allow manufacturing accuracy to be maintained under thermally unstable conditions with increased productivity, without an additional demand for energy for tempering. The challenge of research in the CRC/TR 96 derives from the attempt to satisfy the conflicting goals of reducing energy consumption and increasing accuracy and productivity in machining.
In the current research performed in 19 subprojects within the scope of the CRC/TR 96, correction and compensation solutions that influence the thermo-elastic machine tool behaviour efficiently and are oriented along the thermo-elastic functional chain are explored and implemented. As part of this general objective, the following issues must be researched and engineered in an interdisciplinary setting and brought together into useful overall solutions:
1. Providing the modelling fundamentals to calculate the heat fluxes and the resulting thermo-elastic deformations in a comprehensive manner,
2. Mapping of the structural variability as a result of the relative movement inside the machine tool,
3. Providing the tools for an efficient adjustment of parameters that vary greatly in time and space by means of parameter identification methods as a prerequisite for correction and compensation solutions,
4. Engineering and demonstrating solutions to control-integrated correction of thermo-elastic errors by an inverse position setpoint compensation of the error at the TCP,
5. Engineering and demonstrating solutions based on the material properties to compensate for thermo-elastic effects through a homogeneous propagation of the temperature field, as well as reducing and smoothing the distribution of heat dissipated in supporting structures,
6. Developing metrological fundamentals to record the thermo-elastic errors in special structural areas of machine tools,
7. Engineering a methodological approach to simultaneous and complex evaluation of the CRC/TR 96 solutions, referring to their impact on product quality, production rate, energy consumption and machine tool costs
Автор: Knut Gro?mann Название: Thermo-energetic Design of Machine Tools ISBN: 3319365460 ISBN-13(EAN): 9783319365466 Издательство: Springer Рейтинг: Цена: 12537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The approach to the solution within the CRC/TR 96 financed by the German Research Foundation DFG aims at measures that will allow manufacturing accuracy to be maintained under thermally unstable conditions with increased productivity, without an additional demand for energy for tempering. The challenge of research in the CRC/TR 96 derives from the attempt to satisfy the conflicting goals of reducing energy consumption and increasing accuracy and productivity in machining.
In the current research performed in 19 subprojects within the scope of the CRC/TR 96, correction and compensation solutions that influence the thermo-elastic machine tool behaviour efficiently and are oriented along the thermo-elastic functional chain are explored and implemented. As part of this general objective, the following issues must be researched and engineered in an interdisciplinary setting and brought together into useful overall solutions:
1. Providing the modelling fundamentals to calculate the heat fluxes and the resulting thermo-elastic deformations in a comprehensive manner,
2. Mapping of the structural variability as a result of the relative movement inside the machine tool,
3. Providing the tools for an efficient adjustment of parameters that vary greatly in time and space by means of parameter identification methods as a prerequisite for correction and compensation solutions,
4. Engineering and demonstrating solutions to control-integrated correction of thermo-elastic errors by an inverse position setpoint compensation of the error at the TCP,
5. Engineering and demonstrating solutions based on the material properties to compensate for thermo-elastic effects through a homogeneous propagation of the temperature field, as well as reducing and smoothing the distribution of heat dissipated in supporting structures,
6. Developing metrological fundamentals to record the thermo-elastic errors in special structural areas of machine tools,
7. Engineering a methodological approach to simultaneous and complex evaluation of the CRC/TR 96 solutions, referring to their impact on product quality, production rate, energy consumption and machine tool costs
Автор: Norberto Lopez de Lacalle; Aitzol Lamikiz Mentxaka Название: Machine Tools for High Performance Machining ISBN: 1849967954 ISBN-13(EAN): 9781849967952 Издательство: Springer Рейтинг: Цена: 14817.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors contributing to this volume describe in depth several aspects of machine structures, machine elements and control, and application. The basics, models and functions of each aspect are explained by experts from both academia and industry.
Описание: The history of Brown & Sharpe turns out to be not only an important technological and economic story, but also a fascinating human story. Joseph Brown, the founder, was a skilled clockmaker-turned-machine-maker who invented new machines, and new ways to make things, as needed. Samuel Darling was an eccentric inventor from Maine, a one-time competitor who joined the firm and brought with him his prized dividing engine. The Sharpes—Lucian, his son Henry, and grandson Henry, Jr.— guided the firm for more than a century, and shaped not only the company, but also the global machine tools industry. Gerald Carbone’s history of Brown & Sharpe tells these stories, bringing the people to life, putting them into the context of Rhode Island’s and the nation’s history, and the history of technology and the political economy of the United States. Brown & Sharpe’s story is the story of the American Industrial Revolution. But Carbone does much more than tell a dry story of machines and money, of innovative design and engineering, profit and loss. The real story here is the human one, encompassing more than a century-and-a-half of technological change, labor history, and public policy, culminating in history’s longest strike. How did the owners and managers negotiate the ever-changing economy, rapid technological change, changing expectations about work and pay? How did the men and women who worked at the firm learn their skills and organize their work to produce and market a dazzling array of measuring devices, sewing machines, machine tools? How did the firm help shape the city, the nation, indeed modernity as we live it today?
Автор: Agrawal Rashmi, Paprzycki Marcin, Gupta Neha Название: Big Data, IoT, and Machine Learning: Tools and Applications ISBN: 0367531216 ISBN-13(EAN): 9780367531218 Издательство: Taylor&Francis Рейтинг: Цена: 8573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools.
This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them.
Features
Addresses the complete data science technologies workflow
Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning
Covers data processing and security solutions in IoT and Big Data applications
Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems
Presents security issues and data migration techniques of NoSQL databases
Описание: This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.
Описание: This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.
Автор: Kai-hui Chang; Igor L. Markov; Valeria Bertacco Название: Functional Design Errors in Digital Circuits ISBN: 9048181127 ISBN-13(EAN): 9789048181124 Издательство: Springer Рейтинг: Цена: 17096.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text covers innovative methods to automate the debugging process throughout the design flow, enabling the production of more reliable electronic devices. It offers many examples and figures to illustrate key concepts and algorithms.
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