Robotic welding, intelligence and automation [electronic resource] : RWIA'2014 / Tzyh-Jong Tarn, Shan-Ben Chen, Xiao-Qi Chen, editors.
2015
TS227.2 .I58 2015eb
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Can lend chapters, not whole ebooks
Details
Title
Robotic welding, intelligence and automation [electronic resource] : RWIA'2014 / Tzyh-Jong Tarn, Shan-Ben Chen, Xiao-Qi Chen, editors.
Meeting Name
ISBN
9783319189970 electronic book
3319189972 electronic book
9783319189963
3319189972 electronic book
9783319189963
Published
Cham : Springer, 2015.
Language
English
Description
1 online resource (xii, 640 pages) : illustrations.
Call Number
TS227.2 .I58 2015eb
Dewey Decimal Classification
671.5/2
Summary
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 2014 International Conference on Robotic Welding, Intelligence and Automation (RWIA'2014), held Oct. 25-27, 2014, at Shanghai, China. 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. .
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (viewed July 21 2015).
Series
Advances in intelligent systems and computing ; v. 363.
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Record Appears in
Table of Contents
Part 1: Intelligent Techniques for Robotic Welding
Part 2: Sensing of Arc Welding Processing
Part 3: Modeling and Intelligent Control of Welding Processing
Part 4: Intelligent Control and its Applications in Engineering.
Part 2: Sensing of Arc Welding Processing
Part 3: Modeling and Intelligent Control of Welding Processing
Part 4: Intelligent Control and its Applications in Engineering.