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Welding Pool Oscillation Behaviors for Pulsed GTA Welding Based on Laser Dot Matrix Sensing

Producción científica: Conference contributionrevisión exhaustiva

6 Citas (Scopus)

Resumen

Pool oscillation is thought to have a direct relationship with weld joint penetration and appropriate oscillations help refine grains and reduce defect sensitivity. This paper uses a novel laser dot-matrix sensor to observe the pool oscillation three-dimensionally and use the 3D data as an enhanced ability to analyze oscillation behaviors. It was found that there exist three oscillation modes associated with partial, full, and critical penetration during the base time period. From the observed three dimensional dynamic evolution process, the periodical contraction and expansion at its natural frequency as excited by the pulsing current are observed/found. The amplitude of the oscillation is found to gradually decrease as the oscillation process proceeds and the liquid metal solidifies during the base current period. Furthermore, the amplitude is found to increase as the peak current increases. Because of the enhanced ability on three dimensional observation of the oscillation, this study enhanced the understanding on the pool oscillation and experimentally verified certain theoretical derivations about oscillation which have not been experimentally verified previously.

Idioma originalEnglish
Título de la publicación alojada2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
Páginas355-358
Número de páginas4
DOI
EstadoPublished - ago 24 2018
Evento7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017 - Honolulu, United States
Duración: jul 31 2017ago 4 2017

Serie de la publicación

Nombre2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017

Conference

Conference7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
País/TerritorioUnited States
CiudadHonolulu
Período7/31/178/4/17

Nota bibliográfica

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Optimization

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