@inproceedings{211ec0fe73104fce93b4caa8e89797d4,
title = "COMPARING MEASUREMENT TECHNIQUES FOR THE CHARACTERISTICS OF LAY-UP DEFECTS IN THE AFP PROCESS USING 3D LASER SENSOR DATA",
abstract = "Automated Fiber Placement is a fully established process that is widely used for the serial production of aerospace parts. However, the process still offers high potentials in terms of automation and digitization. This is especially the case for the automated quality inspection. This paper presents an approach for a precise measurement of the size and the position of lay-up defects such as gaps and overlaps. In order to acquire the necessary data of the surface, thermoset prepreg layers are placed on a planar tool where they are scanned inline with an optical inspection system. The output is a grayscale image based on laser profile height data and a 3D point cloud, which stores point coordinates in a world coordinate system. Based on both data types different approaches for the automated defect detection and measurement are developed. Both approaches showed satisfactory results in terms of detection and measurement accuracy.",
keywords = "AFP, Defect Detection, Point Cloud Analysis, Quality Inspection",
author = "Fabian Diemar and Campoy, {Marc Klingenberg} and Benno B{\"o}ckl and Klaus Drechsler",
note = "Publisher Copyright: {\textcopyright} 2022 Diemar 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 = "88--95",
editor = "Vassilopoulos, {Anastasios P.} and Veronique Michaud",
booktitle = "Manufacturing",
}