Transactions on Intelligent Welding Manufacturing: Volume IV No. 1 2020, Chen Shanben, Zhang YuMing, Feng Zhili
Автор: Chen Название: Transactions on Intelligent Welding Manufacturing ISBN: 9811083290 ISBN-13(EAN): 9789811083297 Издательство: Springer Рейтинг: Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Volume I No. 3 2017
Автор: Chen Название: Transactions on Intelligent Welding Manufacturing ISBN: 9811087393 ISBN-13(EAN): 9789811087394 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Volume II No. 1 2018
Автор: Shanben Chen; Yuming Zhang; Zhili Feng Название: Transactions on Intelligent Welding Manufacturing ISBN: 9811386676 ISBN-13(EAN): 9789811386671 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The primary aim of this volume is to provide researchers and engineers from both academia and industry with up-to-date coverage of recent advances in the fields of robotic welding, intelligent systems and automation. It gathers selected papers from the 2018 International Conference on Robotic Welding, Intelligence and Automation (RWIA 2018), held Oct 20-22, 2018 in Guangzhou, China. The contributions reveal how intelligentized welding manufacturing (IWM) is becoming an inescapable trend, just as intelligentized robotic welding is becoming a key technology. The volume is divided into four main parts: Intelligent Techniques for Robotic Welding, Sensing in Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, and Intelligent Control and its Applications in Engineering.
Автор: Shanben Chen; Yuming Zhang; Zhili Feng Название: Transactions on Intelligent Welding Manufacturing ISBN: 9811342261 ISBN-13(EAN): 9789811342264 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The primary aim of this volume is to provide researchers and engineers from both academia and industry with up-to-date coverage of recent advances in the fields of robotic welding, intelligent systems and automation. It gathers selected papers from the 2018 International Conference on Robotic Welding, Intelligence and Automation (RWIA 2018), held Oct 20-22, 2018 in Guangzhou, China. The contributions reveal how intelligentized welding manufacturing (IWM) is becoming an inescapable trend, just as intelligentized robotic welding is becoming a key technology. The volume is divided into four main parts: Intelligent Techniques for Robotic Welding, Sensing in Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, and Intelligent Control and its Applications in Engineering.
Автор: Shanben Chen; Yuming Zhang; Zhili Feng Название: Transactions on Intelligent Welding Manufacturing ISBN: 9811381917 ISBN-13(EAN): 9789811381911 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2019 International Workshop on Intelligentized Welding Manufacturing (IWIWM’2019) in USA. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.
Описание: The volume is divided into four main parts: Intelligent Techniques for Robotic Welding, Sensing in Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, and Intelligent Control and its Applications in Engineering.
Описание: The volume is divided into four main parts: Intelligent Techniques for Robotic Welding, Sensing in Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, and Intelligent Control and its Applications in Engineering.
Автор: Lihui Wang; Robert X Gao Название: Condition Monitoring and Control for Intelligent Manufacturing ISBN: 1849965684 ISBN-13(EAN): 9781849965682 Издательство: Springer Рейтинг: Цена: 34195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering.
Описание: Featuring selected contributions from the 2nd International Conference on Mechatronics and Robotics Engineering, held in Nice, France, February 18–19, 2016, this book introduces recent advances and state-of-the-art technologies in the field of advanced intelligent manufacturing. This systematic and carefully detailed collection provides a valuable reference source for mechanical engineering researchers who want to learn about the latest developments in advanced manufacturing and automation, readers from industry seeking potential solutions for their own applications, and those involved in the robotics and mechatronics industry.
Автор: Moehring, H.-christian Wiederkehr, Petra Gonzalo, Oscar Kolar, Petr Название: Intelligent fixtures for the manufacturing of low rigidity components ISBN: 3319452908 ISBN-13(EAN): 9783319452906 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book summarizes the results of the European research project "Intelligent fixtures for the manufacturing of low rigidity components" (INTEFIX).
Автор: C.H. Dagli Название: Artificial Neural Networks for Intelligent Manufacturing ISBN: 0412480506 ISBN-13(EAN): 9780412480508 Издательство: Springer Рейтинг: Цена: 26711.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years.
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