Automatic Tungsten Inert Gas (TIG) welding using machine vision and neural network on material SS304

Ario Sunar Baskoro, Randy Tandian, Haikal, Andreas Edyanto, Agung Shamsuddin Saragih

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

Welding is a process of joining two or more substances that are based on the principles of diffusion processes, resulting in unification on the materials to be joined. The strength of the weld joint is determined by several parameters, including the weld bead width and the penetration. The width of the weld bead especially the upper part can be determined by looking directly through the CCD (Charge-Coupled Device) camera. But it is difficult to observe the back bead width directly since in practice it is impossible to install the CCD camera at the bottom of specimen. In this paper, Tungsten Inert Gas (TIG) Welding with the welding speed is controlled by the microcontroller for the purpose of adjusting the back bead width has observed. The back bead width is estimated based on data of weld bead width obtained from machine vision, welding speed, and currents that used in this experimental. It's used to obtain a series of data which would have conducted as initial experiments to train and build the neural network system. Results showed that the back bead width is 3 mm on the current 55 A, 60 A, and 65 A have an average error of each current of 0.11 mm, 0.09 mm, and 0.12 mm.

Original languageEnglish
Title of host publication2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages427-432
Number of pages6
ISBN (Electronic)9781509046294
DOIs
Publication statusPublished - 6 Mar 2017
Event8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016 - Malang, Indonesia
Duration: 15 Oct 201616 Oct 2016

Publication series

Name2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016

Conference

Conference8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
Country/TerritoryIndonesia
CityMalang
Period15/10/1616/10/16

Keywords

  • TIG welding
  • machine vision
  • microcontroller
  • molten pool
  • neural network
  • welding

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