Assistance System for the Interactive Machine Adjustment (of a Tufting Machine)

Dominik Huesener, Jürgen Rossmann

2022

Abstract

The paper illustrates how a digital twin, a virtual representation of a physical asset, and simulation software can be used to find best operating parameters and guide an operator through the adjustment process of the machine. The user interacts with the digital twin either through a 3D GUI or using augmented reality, which allows to display information of the digital twin next to the real twin. The machine is equipped with sensors that continuously measure the state of the machine and are connected to the digital twin through EtherCAT connection. The interactive system gives intuitive instructions that reduce the expert knowledge that is needed such that even trainees can operate the machine and digitizes the process for experienced workers.

Paper Citation

in Harvard Style

Huesener D. and Rossmann J. (2022). Assistance System for the Interactive Machine Adjustment (of a Tufting Machine). In Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-578-4, pages 372-378. DOI: 10.5220/0011320300003274

in Bibtex Style

@conference{simultech22,
author={Dominik Huesener and Jürgen Rossmann},
title={Assistance System for the Interactive Machine Adjustment (of a Tufting Machine)},
booktitle={Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2022},
pages={372-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011320300003274},
isbn={978-989-758-578-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Assistance System for the Interactive Machine Adjustment (of a Tufting Machine)
SN - 978-989-758-578-4
AU - Huesener D.
AU - Rossmann J.
PY - 2022
SP - 372
EP - 378
DO - 10.5220/0011320300003274