Design, data analysis and measurement uncertainty evaluation of an eddy-current sensor array for in-process metrology of carbon fiber reinforced plastics. Issue 1 (2019)

• Record Type: Journal Article
• Authors: Haefner, Benjamin; Berger, Dietrich
• Is Part Of: CIRP annals. Volume 68:Issue 1(2019)
• Page Start: 539
• Page End: 542
• Publication Date: 2019
• Subjects: In-process metrology -- Carbon fiber reinforced plastics -- Measurement uncertainty; Production engineering -- Research -- Periodicals; 670.5
• DOI: 10.1016/j.cirp.2019.04.091
• Languages: English
• ISSNs: 0007-8506

Abstract

Abstract: 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.