Design and Development of a Low Cost Hybrid Sensor System for Welding Manufacturing

Michel Sigüenza, Paul Lean, Francisco Cuellar

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

2 Scopus citations

Abstract

The high demand of technology to increase the quality control in welding applications is a convenient opportunity for industrial sensors. The products that require welding process during production are subjected to strict quality controls where conventional or automated sensor-less welding processes are not able to achieve high standards during the production. Additionally, metal inner gas (MIG) welding sensors are still of high cost, especially for medium-sized companies seeking access to a system that allows them to improve the excellence of their products. In this paper we propose the development of a low cost hybrid sensor system for the automation of the welding process, which is compatible with industrial robots. It is designed with a simple graphical user interface (GUI) that assists the operator to perform and control the welding task, store values for quality control, and send commands to an automated welding system, in order to increases the quality of the product. We present, details of the design and development process of the hybrid sensor system for tracking and welding inspections, preliminary experiments to validate the use of the system in an automated welding process, and the discussion of the results.

Original languageEnglish
Title of host publication2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018
PublisherIEEE Computer Society
Pages574-579
Number of pages6
ISBN (Electronic)9781538635933
DOIs
StatePublished - 4 Dec 2018
Event14th IEEE International Conference on Automation Science and Engineering, CASE 2018 - Munich, Germany
Duration: 20 Aug 201824 Aug 2018

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2018-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference14th IEEE International Conference on Automation Science and Engineering, CASE 2018
Country/TerritoryGermany
CityMunich
Period20/08/1824/08/18

Keywords

  • hybrid sensor system
  • quality control
  • seam tracking

Fingerprint

Dive into the research topics of 'Design and Development of a Low Cost Hybrid Sensor System for Welding Manufacturing'. Together they form a unique fingerprint.

Cite this