Classification and generalization of data from a fibre-laser hybrid welding case

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Abstract

Compared to autonomous laser welding, the amount of parameters is higher for laser hybrid welding. Consequently, empirical optimisation of these parameters is a challenge. Handling and evaluation at a higher systematic level is desired in order to enhance the ability to build research on previous knowledge. Such new approach is studied on a case with 10 mm high strength steel sheets, fibre-laser hybrid welded. Aim of the paper is to provide a method of documenting and handling data, transferable to other disciplines, to continuously build knowledge, to simplify repetition of experiments and to facilitate the start-up phase of new trials. Starting from 30 experimental results depending on 23 parameters, by the Matrix Flow Chart a guideline has been developed that filters the information through combination, priorities and quality categorization. A chart resulted where five categories of poor quality are graphically related to a high quality category which can be achieved when following the guidelines for eight main arc- or laser-parameters. The chart is a guideline suitable for extension and for exploring the limits of its validity. © 2010 Published by Elsevier B.V.

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Norman, P. M., Kaplan, A. F. H., & Karlsson, J. (2010). Classification and generalization of data from a fibre-laser hybrid welding case. In Physics Procedia (Vol. 5, pp. 69–76). Elsevier B.V. https://doi.org/10.1016/j.phpro.2010.08.031

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