Modelling and control of weld height reinforcement in the GMAW process

  • Jorge Giron Cruz
  • Edna Moncayo Torres
  • Sadek C. Absi Alfaro
Technical Paper


In a recent research related to technological application in monitoring and control of welding, the use of various approaches to improve the productivity and quality through the development of techniques and automatic control systems is observed. This paper presents a methodology for modelling and control of the weld height reinforcement, allowing adjusting the process parameters, which can be implemented in the field of research or, in certain cases, in the industrial sector as an approach to the control of weld bead geometries. This was developed for the geometric characteristic studied in an integrated system of images acquisition, modelling and control system. The weld bead formation is measured through an acquisition system and processing of images using a low-cost web cam. The wire feed speed, the welding speed and voltage are predicted using an artificial neural network based on the desired weld height reinforcement. The control system is based on fuzzy logic.


Gas metal arc welding (GMAW) Digital image processing Artificial neural networks Fuzzy logic 


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Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2018

Authors and Affiliations

  • Jorge Giron Cruz
    • 1
  • Edna Moncayo Torres
    • 1
  • Sadek C. Absi Alfaro
    • 1
  1. 1.Departamento de Engenharia MecânicaUniversidade de BrasíliaBrasíliaBrazil

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