Gas metal arc welding process monitoring with acoustic sensing

本项目旨在研究气体金属弧焊（GMAW）声信号产生的物理机制，并建立声信号与其他焊接参数之间的声学模型。探讨过程监测的关键声学特征和识别算法，并开发一个原型GMAW过程监测系统。GMAW是一种广泛应用于工业的弧焊工艺，非常适合于自动焊接。所提出的监控方法是工业企业提高过程控制和质量的迫切需要。听觉提示对于专业焊工调整焊接工艺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力和创新提供显著的好处。

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.