Automated assembly of large CFRP structures: adaptive filling of joining gaps with additive manufacturing

Publikationstyp
Conference Paper
Date Issued
2016-11-21
Sprache
English
Author(s)
Schmick, Fabian  
Luders, Nathapon Olaf  
Wollnack, Jörg  
Institut
Produktionsmanagement und -technik M-18  
TORE-URI
http://hdl.handle.net/11420/5521
Start Page
126
End Page
132
Article Number
7750725
Citation
2016 IEEE International Symposium on Assembly and Manufacturing, ISAM 2016: 7750725, 126-132 (2016-11-21)
Contribution to Conference
2016 IEEE International Symposium on Assembly and Manufacturing, ISAM 2016  
Publisher DOI
10.1109/ISAM.2016.7750725
Scopus ID
2-s2.0-85007200161
Publisher
IEEE
This paper introduces an enhanced method to generate 3D prints of individual joining gaps in the automated assembly. Therefore the automated processes of surface measurement, virtual construction and additive manufacturing are combined to realize an Industry 4.0 compatible 'Smart Factory'. The gap between two parts is calculated prior to physical assembly by measuring the joining surfaces optically. The two joining parts are assembled virtually with an automated gap analysis. Therefore the surface measurements are virtually aligned. To fill the gap with solid material, the gap is 3D printed with a new method processing two geometrically non combined point clouds to one closed volume model that represents the joining gap. Areas with gaps smaller than an assembly specific threshold are automatically omitted during printing. A methodology to reduce surface errors is performed and the 3D gap model is exported in a standardized file format to a printer. This process ensures a fully automated assembly and therefore a faster production. The described method is evaluated and tested on a one-to-one scale assembly cell for next generation vertical tail planes.
DDC Class
330: Wirtschaft
600: Technik