Home // INTELLI 2015, The Fourth International Conference on Intelligent Systems and Applications // View article
Application of Tast-to-Method Transform to Laser Seam Welding
Authors:
Jürgen Pollak
Keywords: Machine Intelligence; Task-to-Method-Mapping; Support Vector Regression; Data Domain Description; Laser Welding
Abstract:
Intelligent machines are supposed to automatically set process parameters when faced with a task to be processed. The intelligence is often realized by databases which link the task with process parameters. This paper reviews a flexible and portable (to various processes) system to find (optimized) process parameters which force the process outcome to pre-defined quality under given variable conditions. In addition, extensions to the original system are presented and the whole concept is applied to laser seam welding (LSW). Experimental results based on real process executions demonstrate the applicability in industrial environments.
Pages: 128 to 133
Copyright: Copyright (c) IARIA, 2015
Publication date: October 11, 2015
Published in: conference
ISSN: 2308-4065
ISBN: 978-1-61208-437-4
Location: St. Julians, Malta
Dates: from October 11, 2015 to October 16, 2015