NDLI: Determination of optimum operation cases in electric arc welding machine using neural network

Content Provider	Springer Nature Link
Author	Akinci, Tahir Çetin ğay, Hidir Selçuk Gökmen, Gökhan
Copyright Year	2011
Abstract	With arc welding machines, welding is only performed at optimum operating points. Determination of optimum operating points is important so as for welding machines which will be produced in future to be developed in a manner to operate in such parts. In this study, an Artificial Neutral Networks method was used in order to determine the optimum operating points of Electric Arc welding machine. For this purpose, a measurement system used to get the current measurements during the welding operation. A welding process includes some stages like initial case; transient case and operation case respectively. So as to use ANN model, a data set was established via time series. ANN is trained with 90% of data set and tested with 10% thereof. At the end of the test, a prediction of 97.49% was made according to the regression value. And according to the MSE value, it was understood that a successful prediction was made with an error of 0.00353075 values.
Starting Page	1003
Ending Page	1010
Page Count	8
File Format	PDF
ISSN	1738494X
Journal	Journal of Mechanical Science and Technology
Volume Number	25
Issue Number	4
e-ISSN	19763824
Language	English
Publisher	Korean Society of Mechanical Engineers
Publisher Date	2011-06-18
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Electrical arc welding machine Optimum operation cases Time series Welding analysis Mechanical Engineering Industrial and Production Engineering Vibration, Dynamical Systems, Control
Content Type	Text
Resource Type	Article
Subject	Mechanics of Materials Mechanical Engineering

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