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

Akıncı T. Ç., Nogay H. S., Gökmen G.

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, cilt.25, sa.4, ss.1003-1010, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 4
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1007/s12206-011-0202-9
  • Dergi Adı: JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1003-1010
  • Anahtar Kelimeler: Electrical arc welding machine, Optimum operation cases, Time series, Welding analysis
  • Bursa Uludağ Üniversitesi Adresli: Hayır

Özet

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.