elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Accessibility | Contact | Deutsch
Fontsize: [-] Text [+]

Vision based deformation and wrinkle detection for semi-finished fiber products on curved surfaces

Gupta, Kashish and Körber, Marian and Krebs, Florian and Najjaran, Homayoun (2018) Vision based deformation and wrinkle detection for semi-finished fiber products on curved surfaces. IEEE International Conference on Automation Science and Engineering - CASE 2018, 2018-08-20 - 2018-08-24, München. doi: 10.1109/COASE.2018.8560559.

Full text not available from this repository.

Abstract

The paper focuses on a vision-based approach for optimizing automated deformation and draping processes of dry semi-finished fiber products at the production of large-area composite components for the aerospace industry. The vision-based approach developed at University of British Columbia, is to be utilized with the existing draping process, carried out on a form-variable end-effector, developed at the Center for Lightweight Production Technologies (ZLP) in Augsburg. During the deformation of the semi-finished product, tensions develop in the material leading to shearing and relative movements of the fiber material on the gripping surface. In turn, the resulting displacement and deformation of the cut piece negatively influences the production quality. The method proposed in the paper is designed to help in visually detecting and automatically evaluating the drape and deformation of the cut piece. For this purpose, RGB-D camera data is used to detect the deformed gripper surface and determine the position, the boundary geometry and any wrinkles that may have occurred in the cut piece. The accuracy of the proposed method is verified by experiments on a known target geometry.

Item URL in elib:https://elib.dlr.de/124986/
Document Type:Conference or Workshop Item (Speech)
Title:Vision based deformation and wrinkle detection for semi-finished fiber products on curved surfaces
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gupta, KashishUNSPECIFIEDhttps://orcid.org/0000-0001-8198-0343UNSPECIFIED
Körber, MarianUNSPECIFIEDhttps://orcid.org/0000-0003-0109-8102UNSPECIFIED
Krebs, FlorianUNSPECIFIEDhttps://orcid.org/0000-0001-6033-801XUNSPECIFIED
Najjaran, HomayounUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:August 2018
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1109/COASE.2018.8560559
Status:Published
Keywords:Computer vision, Composite manufacturing, wrinkle detection, draping quality
Event Title:IEEE International Conference on Automation Science and Engineering - CASE 2018
Event Location:München
Event Type:international Conference
Event Start Date:20 August 2018
Event End Date:24 August 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Structures and Materials (old)
Location: Augsburg
Institutes and Institutions:Institute of Structures and Design > Automation and Production Technology
Deposited By: Körber, Marian Karl
Deposited On:13 Dec 2018 12:05
Last Modified:24 Apr 2024 20:29

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
OpenAIRE Validator logo electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.