Gas metal arc welding process monitoring with acoustic sensing

本项目旨在研究气体保护焊(GMAW)声音产生的物理机理，并建立一个将声信号与其他焊接参数相关联的声学模型。研究了用于过程监测的关键声学特征和识别算法，并开发了一个GMAW过程监测系统原型。GMAW是一种工业上应用广泛、适合自动焊接的弧焊工艺。拟议的监测方法是工业界确定的改善过程控制和质量的迫切需要。听觉线索对专家焊工调整焊接过程和保持质量至关重要，但支撑这一过程的机制尚不清楚。该项目将为澳大利亚制造业的生产率和创新提供重大好处。

This project aims to investigate the physical mechanisms of Gas Metal Arc Welding (GMAW) sound generation, and establish an acoustic model that correlates the acoustic signal with other wielding parameters. Key acoustic features and identification algorithms for process monitoring will be explored, and a prototype GMAW process monitoring system developed. GMAW is an arc welding process that is widely used in industry and well suited to automatic welding. The proposed monitoring method is an urgent need identified by industries for improving process control and quality. Auditory cues have been found to be critical for expert welders to adjust the weld process and to maintain quality, but the mechanisms underpinning the process are not well understood. The project will provide significant benefit to the Australian manufacturing industry’s productivity and innovation.