engleski

Data Mining to Predict Hybrid Laser Arc Welding Improvements in Ship Interim Product Assembly

Most shipyards use gas metal arc welding (GMAW) or submerged arc welding (SAW) technologies in their steel panel line assembly processes. Since the welding work on panel assembly lines make up to 50 percent of total ship welds, improving the process by decreasing the duration time as well as energy use and filler materials will decrease production costs. The advent of lasers in production yields advantages of faster speed and smaller distortions. However, the shortcomings of using exclusively lasers to weld steel plates are the lack of filler material. Therefore hybrid laser arc welding (HLAW) takes advantage of the positive sides of both laser and gas metal arc welding to assemble panels with shorter duration times. Much data exists about assembling panels with conventional welding means. Therefore a data mining methodology using an interpretable regression method for accurately predicting the duration time outcomes of panels assembled with HLAW technology will allow shipyard management to make better decisions to transform their assembly lines by integrating laser technology in order to become more competitive through the reduction of production costs.

Data mining; Hybrid laser arc welding; Interim product assembly; Shipbuilding

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