000 03475nam a22005415i 4500
001 978-3-540-73374-4
003 DE-He213
005 20161121231204.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540733744
_9978-3-540-73374-4
024 7 _a10.1007/978-3-540-73374-4
_2doi
050 4 _aTJ210.2-211.495
050 4 _aTJ163.12
072 7 _aTJFM
_2bicssc
072 7 _aTJFD
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTEC037000
_2bisacsh
082 0 4 _a629.8
_223
245 1 0 _aRobotic Welding, Intelligence and Automation
_h[electronic resource] /
_cedited by Tzyh-Jong Tarn, Shan-Ben Chen, Changjiu Zhou.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aXII, 564 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Control and Information Sciences,
_x0170-8643 ;
_v362
505 0 _aPart 1: General Intelligent Robotics -- Part 2: Intelligent Techniques for Robotic Welding -- Part 3: Vision Sensing and Intelligent Control of Arc Welding Processing -- Part 4: Welding Automations -- Part 5: Intelligent Control and its Application in Engineering.
520 _aRobotic welding systems have been used in different types of manufacturing. They can provide several benefits in welding applications. The most prominent advantages of robotic welding are precision and productivity. Another benefit is that labor costs can be reduced. Robotic welding also reduces risk by moving the human welder/operator away from hazardous fumes and molten metal close to the welding arc. The robotic welding system usually involves measuring and identifying the component to be welded, we- ing it in position, controlling the welding parameters and documenting the produced welds. However, traditional robotic welding systems rely heavily upon human interv- tion. It does not seem that the traditional robotic welding techniques by themselves can cope well with uncertainties in the welding surroundings and conditions, e. g. variation of weld pool dynamics, fluxion, solid, weld torch, and etc. On the other hand, the advent of intelligent techniques provides us with a powerful tool for solving demanding re- world problems with uncertain and unpredictable environments. Therefore, it is intere- ing to gather current trends and to provide a high quality forum for engineers and researchers working in the filed of intelligent techniques for robotic welding systems. This volume brings together a broad range of invited and contributed papers that describe recent progress in this field.
650 0 _aEngineering.
650 0 _aSystem theory.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 1 4 _aEngineering.
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aSystems Theory, Control.
700 1 _aTarn, Tzyh-Jong.
_eeditor.
700 1 _aChen, Shan-Ben.
_eeditor.
700 1 _aZhou, Changjiu.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540733737
830 0 _aLecture Notes in Control and Information Sciences,
_x0170-8643 ;
_v362
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-73374-4
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c509871
_d509871