Modern aluminium alloy welding techniques like laser oscillation welding can successfully reduce weld porosity brought on by the physical and chemical characteristics of aluminium alloy. Since it has a significant impact on the mechanical qualities of welded connections, the weld area is frequently used as an evaluation index of geometric attributes to assess the welding quality. In this paper, a method for predicting the weld area for laser oscillation welding of 6061 aluminium alloy is proposed. The cross-sectional area of the weld is computed using image recognition technology from the metallographic micrographs of welding trials, and the inaccuracy of the recognised weld area is less than 8.8%. Additionally, alternative prediction models for the weld area are created by machine learning methods, such as linear regression, under varied process circumstances.
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