Investigating the Detection Capability of Acoustic Emission Monitoring to Identify Imperfections Produced by the Metal Active Gas (MAG) Welding Process

IF 1.3 Q3 ACOUSTICS Acoustics (Basel, Switzerland) Pub Date : 2023-07-20 DOI:10.3390/acoustics5030043
J. Griffin, Steven Jones, B. Perumal, C. Perrin
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Abstract

Welding inspection is a critical process that can be severely time-consuming, resulting in productivity delays, especially when destructive or invasive processes are required. This paper defines the novel approach to investigate the physical correlation between common imperfections found in arc welding and the propensity to determine these through the identification of signatures using acoustic emission sensors. Through a set of experiments engineered to induce prominent imperfections (cracks and other anomalies) using a popular welding process and the use of AE technology (both airborne and contact), it provides confirmation that the verification of physical anomalies can indeed be identified through variations in obtained noise frequency signatures. This in situ information provides signals during and after solidification to inform operators of the deposit/HAZ integrity to support the advanced warning of unwanted anomalies and of whether the weld/fabrication process should be halted to undertake rework before completing the fabrication. Experimentation was carried out based on an acceptable set of parameters where extracted data from the sensors were recorded, analysed, and compared with the resultant microstructure. This may allow signal phenomena to be captured and catalogued for future use in referencing against known anomalies.
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声发射监测识别金属活性气体(MAG)焊接工艺缺陷的检测能力研究
焊接检测是一个非常耗时的关键过程,特别是当需要破坏性或侵入性工艺时,会导致生产率延迟。本文定义了一种新的方法来研究在电弧焊中发现的常见缺陷之间的物理相关性,以及通过使用声发射传感器识别特征来确定这些缺陷的倾向。通过使用流行的焊接工艺和使用声发射技术(机载和接触)设计一系列实验来诱导突出的缺陷(裂纹和其他异常),它证实了物理异常的验证确实可以通过获得的噪声频率特征的变化来识别。这种原位信息在凝固过程中和凝固后提供信号,告知操作人员沉积物/热影响区完整性,以支持对不需要的异常进行提前警告,以及在完成制造之前是否应该停止焊接/制造过程以进行返工。实验是根据一组可接受的参数进行的,从传感器中提取的数据被记录、分析,并与所得的微观结构进行比较。这可能允许信号现象被捕获和编目,以供将来参考已知的异常使用。
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CiteScore
3.70
自引率
0.00%
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0
审稿时长
11 weeks
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