Robotic Welding, Intelligence and Automation [recurso electrónico] : RWIA’2010 / edited by Tzyh-Jong Tarn, Shan-Ben Chen, Gu Fang.

Por: Tarn, Tzyh-Jong [editor.]Colaborador(es): Chen, Shan-Ben [editor.] | Fang, Gu [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Electrical Engineering ; 88Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XII, 508p. 369 illus., 203 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642199592Tema(s): Engineering | Artificial intelligence | Electronics | Engineering | Electronics and Microelectronics, Instrumentation | Robotics and Automation | Computational Intelligence | Artificial Intelligence (incl. Robotics)Formatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 621.381 Clasificación LoC:TK7800-8360TK7874-7874.9Recursos en línea: Libro electrónicoTexto
Contenidos:
Part I: Intelligent Techniques for Robotic Welding -- Part II: Sensing of Arc Welding Processing -- Part III: Modeling and Intelligent Control of Welding Processing -- Part IV: Welding Technics and Automations -- Part V: Special Robot Technology and Systems -- Part VI: Intelligent Control and its Applications in Engineering.
En: Springer eBooksResumen: This book shows some contributions presented in the 2010 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2010), Oct. 14-16, 2010, Shanghai, China. Welding handicraft is one of the most primordial and traditional techniques, mainly by manpower and human experiences. Weld quality and efficiency are, therefore, straightly limited by the welder’s skill. In the modern manufacturing, automatic and robotic welding is becoming an inevitable trend. In recent years, the intelligentized techniques for robotic welding have a great development. The current teaching play-back welding robot is not with real-time functions for sensing and adaptive control of weld process. Generally, the key technologies on Intelligentized welding robot and robotic welding process include computer visual and other information sensing, monitoring and real-time feedback control of weld penetration and pool shape and welding quality. Seam tracking is another key technology for welding robot system. Some applications on intelligentized robotic welding technology is also described in this book, it shows a great potential and promising prospect of artificial intelligent technologies in the welding manufacturing.
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Colección de Libros Electrónicos TK7800 -8360 (Browse shelf(Abre debajo)) 1 No para préstamo 375980-2001

Part I: Intelligent Techniques for Robotic Welding -- Part II: Sensing of Arc Welding Processing -- Part III: Modeling and Intelligent Control of Welding Processing -- Part IV: Welding Technics and Automations -- Part V: Special Robot Technology and Systems -- Part VI: Intelligent Control and its Applications in Engineering.

This book shows some contributions presented in the 2010 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2010), Oct. 14-16, 2010, Shanghai, China. Welding handicraft is one of the most primordial and traditional techniques, mainly by manpower and human experiences. Weld quality and efficiency are, therefore, straightly limited by the welder’s skill. In the modern manufacturing, automatic and robotic welding is becoming an inevitable trend. In recent years, the intelligentized techniques for robotic welding have a great development. The current teaching play-back welding robot is not with real-time functions for sensing and adaptive control of weld process. Generally, the key technologies on Intelligentized welding robot and robotic welding process include computer visual and other information sensing, monitoring and real-time feedback control of weld penetration and pool shape and welding quality. Seam tracking is another key technology for welding robot system. Some applications on intelligentized robotic welding technology is also described in this book, it shows a great potential and promising prospect of artificial intelligent technologies in the welding manufacturing.

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