Industrializing metrology—Machine vision integration in composites production

The production of carbon fibre-reinforced plastics (CFRP) is still characterized by manual work. This paper presents how metrology enables the capable automation through the integration of an in-process machine vision system (MVS). Based on Structure Tensor Method the anisotropic CFRP structure parameters, e.g. fibre orientation, are measured and provided as control variables for automation and quality assurance in closed control loops during the layer-wise CFRP build-up. A Bayesian decision theoretical model assures that the MVS integration achieves capable processes at lower costs than current productions. The MVS and its integration model are evaluated for the automatic braiding of CFRP structures.