Issue |
MATEC Web Conf.
Volume 299, 2019
Modern Technologies in Manufacturing (MTeM 2019)
|
|
---|---|---|
Article Number | 01003 | |
Number of page(s) | 6 | |
Section | Additive Manufacturing and Non-traditional Technologies | |
DOI | https://doi.org/10.1051/matecconf/201929901003 | |
Published online | 02 December 2019 |
Challenges of additive manufacturing in production systems
1
FH Aachen University of Applied Sciences, Department of Mechanical Engineering and Mechatronics,
Goethestr. 1,
52064
Aachen,
Germany
2
Technical University of Cluj-Napoca, Department of Manufacturing Engineering,
B-dul Muncii 103-105,
400641
Cluj-Napoca,
Romania
* Corresponding author: a.luft@fh-aachen.de
Additive Manufacturing (AM) has become indispensable in the context of digitalization and Industry 4.0 and is said to be a mega trend of the 21st century. The technology offers immense opportunities to revolutionize the production of parts and components in all industries. Despite of the outstanding technical possibilities, the industry-wide adaptation rate is low. The current approach of looking at AM from a mostly technological view is a major reason for this. The challenge is to efficiently integrate 3D printing and other additive processes into existing manufacturing processes and systems. AM must be perceived as a multidimensional topic and viewed from different perspectives, two of which are the AM technology and the planning and management of production systems. These two perspectives have to be addressed simultaneously and cross-linked. In order to use AM to tackle some of the most challenging problems in modern manufacturing systems like increasing variant diversity, shorter product lifecycles, the demand for digitized processes and cyber-physical systems, it is necessary to develop interdisciplinary approaches and solutions, because none of the disciplines can reach the necessary performance and cost-efficiency alone.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.