Название: Robotic Welding, Intelligence and Automation ISBN: 3540208046 ISBN-13(EAN): 9783540208044 Издательство: Springer Рейтинг: Цена: 14673.00 р. 20962.00-30% Наличие на складе: Есть (1 шт.) Описание: This research report brings together present trends in advanced welding robots, robotic welding, artificial intelligent and automatic welding. It includes important technical subjects on welding robots such as intelligent technologies and systems, and design and analysis. Modeling, identification and control of the welding process are presented, as well as knowledge-based systems for welding and tele-robotic welding. Other topics covered are sensing and data fusion, computer vision and virtual-reality applications of the welding process. An overview of intelligent and flexible manufacturing systems is given in addition to artificial intelligent technologies for industrial processes.
Автор: Sul Название: Control of Electric Machine Drive Systems ISBN: 0470590793 ISBN-13(EAN): 9780470590799 Издательство: Wiley Рейтинг: Цена: 20901.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based on the author`s industry experience and collaborative works with other industries, Control of Electric Machine Drive System is packed with implemented, tested, and verified ideas that relate to everyday problems in the field.
Автор: Brian Stone Название: Chatter and Machine Tools ISBN: 3319350544 ISBN-13(EAN): 9783319350547 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives important insights into how to eliminate chatter with associated improvements in product quality, surface finish and tool wear. It covers a wide range of machining processes, including turning, drilling, milling and grinding.
Автор: Knut Gro?mann Название: Thermo-energetic Design of Machine Tools ISBN: 3319365460 ISBN-13(EAN): 9783319365466 Издательство: Springer Рейтинг: Цена: 14365.00 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: 16977.00 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.
Автор: Stone Brian Название: Chatter and Machine Tools ISBN: 3319052357 ISBN-13(EAN): 9783319052359 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives important insights into how to eliminate chatter with associated improvements in product quality, surface finish and tool wear. It covers a wide range of machining processes, including turning, drilling, milling and grinding.
Автор: Dikai Liu; Lingfeng Wang; Kay Chen Tan (Eds.) Название: Design and Control of Intelligent Robotic Systems ISBN: 3540899324 ISBN-13(EAN): 9783540899327 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.
Автор: Nava Rodriguez Название: Advanced Mechanics in Robotic Systems ISBN: 085729587X ISBN-13(EAN): 9780857295873 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Humans have always been fascinated with the concept of artificial life and the construction of machines that look and behave like people. As the field of robotics evolves, it demands continuous development of successful systems with high-performance characteristics for practical applications.Advanced Mechanics in Robotic Systems illustrates original and ambitious mechanical designs and techniques for developing new robot prototypes with successful mechanical operational skills. Case studies are focused on projects in mechatronics that have high growth expectations:humanoid robots,robotics hands,mobile robots,parallel manipulators, andhuman-centred robots.A good control strategy requires good mechanical design, so a chapter has also been devoted to the description of suitable methods for control architecture design. Readers of Advanced Mechanics in Robotic Systems will discover novel designs for relevant applications in robotic fields, that will be of particular interest to academic and industry-based researchers.
Автор: Hastie Название: Statistical Learning with Sparsity ISBN: 1498712169 ISBN-13(EAN): 9781498712163 Издательство: Taylor&Francis Рейтинг: Цена: 16843.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Discover New Methods for Dealing with High-Dimensional Data
A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underlying signal in a set of data.
Top experts in this rapidly evolving field, the authors describe the lasso for linear regression and a simple coordinate descent algorithm for its computation. They discuss the application of ℓ1 penalties to generalized linear models and support vector machines, cover generalized penalties such as the elastic net and group lasso, and review numerical methods for optimization. They also present statistical inference methods for fitted (lasso) models, including the bootstrap, Bayesian methods, and recently developed approaches. In addition, the book examines matrix decomposition, sparse multivariate analysis, graphical models, and compressed sensing. It concludes with a survey of theoretical results for the lasso.
In this age of big data, the number of features measured on a person or object can be large and might be larger than the number of observations. This book shows how the sparsity assumption allows us to tackle these problems and extract useful and reproducible patterns from big datasets. Data analysts, computer scientists, and theorists will appreciate this thorough and up-to-date treatment of sparse statistical modeling.
Автор: Briot, Sebastien Khalil, Wisama Название: Dynamics of parallel robots ISBN: 3319356607 ISBN-13(EAN): 9783319356600 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book starts with a short recapitulation on basic concepts, common to any types of robots (serial, tree structure, parallel, etc.), that are also necessary for computation of the dynamic models of parallel robots.
Автор: Jens Peter Wulfsberg; Adam Sanders Название: Small Machine Tools for Small Workpieces ISBN: 3319492675 ISBN-13(EAN): 9783319492674 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This contributed volume presents the research results of the program "Small machine tools for small work pieces" (SPP 1476), funded by the German Research Society (DFG). The target audience primarily comprises research experts and practitioners in the field of micro machine tools, but the book may also be beneficial for graduate students.
Автор: C.R. Boer; L. Molinari-Tosatti; K.S. Smith Название: Parallel Kinematic Machines ISBN: 1447112288 ISBN-13(EAN): 9781447112280 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Parallel Kinematic Machines (PKMs) are one of the most radical innovations in production equipment. The Forum was established to provide institutions, technology suppliers and industrial end users with an improved understanding of the real advantages to be gained from using PKMs.
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