Articles | Volume 11, issue 2
https://doi.org/10.5194/jsss-11-277-2022
https://doi.org/10.5194/jsss-11-277-2022
Regular research article
 | 
16 Sep 2022
Regular research article |  | 16 Sep 2022

En route to automated maintenance of industrial printing systems: digital quantification of print-quality factors based on induced printing failure

Peter Bischoff, André V. Carreiro, Christoph Kroh, Christiane Schuster, and Thomas Härtling

Viewed

Total article views: 926 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
685 202 39 926 30 26
  • HTML: 685
  • PDF: 202
  • XML: 39
  • Total: 926
  • BibTeX: 30
  • EndNote: 26
Views and downloads (calculated since 16 Sep 2022)
Cumulative views and downloads (calculated since 16 Sep 2022)

Viewed (geographical distribution)

Total article views: 858 (including HTML, PDF, and XML) Thereof 858 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Tracking individual parts in manufacturing processes helps to lower production cost by assigning a full record of production steps to each part, and therefore enabling targeted quality control. A novel approach is presented, which shows that the printing quality can be monitored using images of the printed result only. Analysing data from long-term tests shows which characteristics of the part marking are suitable to be used as indicators for maintenance needs.