Issue |
MATEC Web Conf.
Volume 104, 2017
2017 2nd International Conference on Mechanical, Manufacturing, Modeling and Mechatronics (IC4M 2017) – 2017 2nd International Conference on Design, Engineering and Science (ICDES 2017)
|
|
---|---|---|
Article Number | 02023 | |
Number of page(s) | 6 | |
Section | Chapter 2: Engineering Simulation, Modeling and Mechatronics | |
DOI | https://doi.org/10.1051/matecconf/201710402023 | |
Published online | 14 April 2017 |
Watermarking for Fused Deposition Modeling by Seam Placement
Institut für Rechnergestützte Ingenieursysteme University of Stuttgart Universitätsstr, 38 70569 Stuttgart, Germany
a Corresponding author: felix.baumann@informatik.uni-stuttgart.de
With the increased usage and application of 3D-printing or Additive Manufacturing (AM) the question arises of how content providers or creators can ensure their intellectual property on such model data. Similar to other digital media such object information that is represented in a number of file formats is easy to copy and reproduce lossless. This research contributes by a proposition of a watermarking schema for Fused Deposition Modeling (FDM) type 3D-printers. This system embeds information into the 3D-printed object without alterations to the structure or geometry by altering the entry points of each layer in a specific manner. With such a watermarking schema employed objects can be embedded with additional information such as a serial number or other traceable information.
© The Authors, published by EDP Sciences, 2017
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.