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<p>Hot wire oscillating arc welding method is proposed for 9% Ni LNG storage inner tank manufacturing. To reduce the risk of personnel operation and further improve welding efficiency, weld seam tracking of oscillating arc has to be developed to enhance automation rates. An optical testing platform and a passive visual detecting device are established to analyze groove and arc position. Also preprocessing workflow and adaptive enhancement algorithm are built to increase image gray values. Based on welder’s operation skills, fuzzy logic rules are programmed to control the arc oscillating at the middle of narrow gap. Also control experiments are carried out and compared with manual adjustment. The experimental results show with preprocessing workflow and adaptive enhancement algorithm that the average gray value of the groove area increased from 76 to 152, and the average gray value of the arc area decreased from 20 to 0. The interest areas of groove shape and oscillating arc position could be selected accurately. Based on the image signal extraction, the middle position of oscillating arc can be calculated by the mathematical model. And with fuzzy logic rules, real-time control can be achieved in practice, reaching the level of a skilled welder.</p>

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Wire oscillating-arc welding for narrow gap of a LNG storage inner tank fabricated by 9% Ni steel: intelligent monitoring, fuzzy control, and characteristics

  • 期刊论文

  • 发表日期：

    2025年10月10日

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  • Ming Zhu,
  • Qingsong Ma,
  • Runji Lei,
  • Jun Weng,
  • Zhenwen Zhu,
  • Gang Zhang,
  • Yu Shi

摘要

Hot wire oscillating arc welding method is proposed for 9% Ni LNG storage inner tank manufacturing. To reduce the risk of personnel operation and further improve welding efficiency, weld seam tracking of oscillating arc has to be developed to enhance automation rates. An optical testing platform and a passive visual detecting device are established to analyze groove and arc position. Also preprocessing workflow and adaptive enhancement algorithm are built to increase image gray values. Based on welder’s operation skills, fuzzy logic rules are programmed to control the arc oscillating at the middle of narrow gap. Also control experiments are carried out and compared with manual adjustment. The experimental results show with preprocessing workflow and adaptive enhancement algorithm that the average gray value of the groove area increased from 76 to 152, and the average gray value of the arc area decreased from 20 to 0. The interest areas of groove shape and oscillating arc position could be selected accurately. Based on the image signal extraction, the middle position of oscillating arc can be calculated by the mathematical model. And with fuzzy logic rules, real-time control can be achieved in practice, reaching the level of a skilled welder.