TY - JOUR
T1 - Robot based wire arc additive manufacturing system with context-sensitive multivariate monitoring framework
AU - Reisch, Raven
AU - Hauser, Tobias
AU - Kamps, Tobias
AU - Knoll, Alois
N1 - Publisher Copyright:
© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the FAIM 2021.
PY - 2020
Y1 - 2020
N2 - Large scale, metal parts are commonly manufactured by milling with a buy-to-fly-ratio of up to 10. A resource efficient alternative is the production by Direct Energy Deposition (DED) based Wire Arc Additive Manufacturing (WAAM). In this study, a WAAM system is divided into four elements (welding source, kinematic structure, control system, monitoring system) and a review is accomplished for each. Requirements are defined based on these reviews and additional needs and a robot based WAAM setup is proposed. To validate the WAAM setup, first experiments are conducted regarding the influence of the orientation of the welding torch respectively of the lead and the tilt angle on the geometry of a deposited wall. Finally, a framework for a seamlessly integrated monitoring system in hybrid manufacturing for enhanced data analysis is introduced. The framework is based on a digital twin of the workpiece in production which serves as base for proactive, context sensitive process adaptions.
AB - Large scale, metal parts are commonly manufactured by milling with a buy-to-fly-ratio of up to 10. A resource efficient alternative is the production by Direct Energy Deposition (DED) based Wire Arc Additive Manufacturing (WAAM). In this study, a WAAM system is divided into four elements (welding source, kinematic structure, control system, monitoring system) and a review is accomplished for each. Requirements are defined based on these reviews and additional needs and a robot based WAAM setup is proposed. To validate the WAAM setup, first experiments are conducted regarding the influence of the orientation of the welding torch respectively of the lead and the tilt angle on the geometry of a deposited wall. Finally, a framework for a seamlessly integrated monitoring system in hybrid manufacturing for enhanced data analysis is introduced. The framework is based on a digital twin of the workpiece in production which serves as base for proactive, context sensitive process adaptions.
KW - Digital twin
KW - Hybrid manufacturing
KW - Monitoring system
KW - Robot
KW - Wire arc additive manufacturing
UR - http://www.scopus.com/inward/record.url?scp=85099830663&partnerID=8YFLogxK
U2 - 10.1016/j.promfg.2020.10.103
DO - 10.1016/j.promfg.2020.10.103
M3 - Conference article
AN - SCOPUS:85099830663
SN - 2351-9789
VL - 51
SP - 732
EP - 739
JO - Procedia Manufacturing
JF - Procedia Manufacturing
T2 - 30th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2021
Y2 - 15 June 2021 through 18 June 2021
ER -