Weld Penetration Control Based on Vision Feedback of Weld Pool Geometrical Appearance

基于焊池几何外观视觉反馈的焊缝熔深控制

• 批准号: 9634735
• 负责人: Alan Male
• 金额: $ 18万
• 依托单位: University of Kentucky Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-04-01 至 1999-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9634735&HistoricalAwards=false
• 关键词: Weld; Penetration; Control; Based; Vision

9634735 Kovadevic Automatic gas tungsten arc welding is widely used for precision joining. Although automatic welding machines can realize the pre-programmed welding parameters more accurately than a human operator, they lack the visual feedback capability associated with the human operator to compensate for the deviations in the process. This project is aimed to provide an innovative weld penetration control technology by developing a neurofuzzy model-based nonlinear adaptive control system with vision feedback of the weld pool. In the proposed control system, the welding current, torch speed, and arc length are used as the control variables to achieve the desired size and shape of the weld pool. Also investigated in the project are the dynamic behavior of the weld pool and the correlation between the pool geometrical appearance and penetration. Weld penetration control is central to automatic welding. The development of an advanced weld penetration control technology is essential to resolving the present bottle-neck problem in precise joining. The investigation of the dynamic behavior of the weld pool provides fundamental knowledge valuable to welding physics. Industrial relevancy of the research is enhanced by the existing strong collaboration with industrial firms. ***

小行星9634735 自动钨极氩弧焊广泛用于精密连接。 尽管自动焊接机可以比人类操作员更准确地实现预编程的焊接参数，但是它们缺乏与人类操作员相关联的视觉反馈能力来补偿过程中的偏差。 本计画旨在提供一种创新的熔深控制技术，借由发展一种以模糊神经网路为基础的熔池视觉回馈非线性自适应控制系统。 在所提出的控制系统中，焊接电流，焊炬速度和电弧长度被用作控制变量，以实现所需的尺寸和形状的熔池。 研究了熔池的动态行为以及熔池几何形貌与熔深的关系。 焊缝熔深控制是自动焊接的核心。 发展先进的焊缝熔深控制技术是解决目前精密连接瓶颈问题的关键。熔池动态行为的研究为焊接物理学提供了有价值的基础知识。 与工业公司的现有强有力的合作，加强了研究的工业相关性。 ***