@inproceedings{08fb0b8a96714b849c84b30f768cdb86,
title = "AUTOMATED DETECTION OF YARN GAPS DURING RADIAL BRAIDING OF CARBON FIBER BY MEANS OF LIGHT BARRIERS",
abstract = "Braiding of carbon fiber is a highly automated process for manufacturing preforms directly from carbon fiber yarns. The quality of braided textiles from reinforcement yarns and the stability of the process can however be negatively affected by irregularities that occur during braiding. In order to detect such process defects as early as possible during their formation and in an effort to limit the effects of defects, the development of online monitoring systems for the braiding process is desirable. Currently available sensor modules involve problems of either insufficient data acquisition, process impairments or high costs and complexity. The paper at hand outlines a newly developed form of a sensor module that only requires one stationary sensor (thereby being cost-efficient) and that is able to gather process data without causing any additional yarn damage (no process impairments) by means of an optical inspection of the braid formation zone.",
keywords = "Braiding, Braiding defects, Online process monitoring, Quality control",
author = "Stephan Maidl and Leoni Putze and Kalle Kind and Klaus Drechsler",
note = "Publisher Copyright: {\textcopyright} 2022 Maidl et al.; 20th European Conference on Composite Materials: Composites Meet Sustainability, ECCM 2022 ; Conference date: 26-06-2022 Through 30-06-2022",
year = "2022",
language = "English",
series = "ECCM 2022 - Proceedings of the 20th European Conference on Composite Materials: Composites Meet Sustainability",
publisher = "Composite Construction Laboratory (CCLab), Ecole Polytechnique Federale de Lausanne (EPFL)",
pages = "137--144",
editor = "Vassilopoulos, {Anastasios P.} and Veronique Michaud",
booktitle = "Manufacturing",
}