Design, data analysis and measurement uncertainty evaluation of an eddy-current sensor array for in-process metrology of carbon fiber reinforced plastics

摘要

Composite lightweight components of carbon fiber reinforced plastics (CFRP) provide great potential for the automotive industry. Yet, due to their complexity, there is a high amount of quality defects in their production processes. Thus, this article deals with an approach for in-process metrology of CFRP components by means of an eddy-current sensor array. First, the development of the sensor design and its in-process integration is introduced. Second, a method for the quantitative evaluation of the measurement data as well as the measurement uncertainty is elaborated. Finally, a machine learning approach for the classification of crucial defects is shown. (C) 2019 CIRP. Published by Elsevier Ltd. All rights reserved.