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Abstract

In surface treatment processes like plasma spraying and spray painting of workpieces, protecting the uninvolved surface by applying masking tape is a common process. Due to the operation complexity for different geometries, such taping tasks depend on a lot of manual works, which is tedious and tiring. This paper introduces an automatic agile robotic system and the corresponding algorithm to do the surface taping. The automatic taping system consists of a 3D scanner for workpiece 3D model reconstruction, a taping end-effector which is mounted on a robot manipulator to handle the taping task, and a rotating platform that is used to hold the workpiece. The surface covering method and the taping path planning algorithms using the scanned model are introduced. With the implementation of the compliance mechanism, the force feedback and the tape-cutting mechanism, the system is able to tape flat, cylindrical, freeform, and grooved surfaces. Experiments conducted on taping an engine inner liner shows that the surface can be covered with uniform taping overlap and very little wrinkle. The proposed system is a useful taping package for industrial applications such as workpiece repairing and surface protection, where surface treatments are involved.

Details

Title
Automatic robot taping system with compliant force control
Author
Yuan Qilong 1 ; I-Ming, Chen 2 ; Lembono Teguh Santoso 3 ; Landén Simon Nelson 4 ; Malmgren, Victor 4 

 Foshan University, School of Electro-Mechanical Engineering, Foshan, China (GRID:grid.443369.f) 
 Nanyang Technological University, School of Mechanical and Aerospace Engineering, Singapore, Singapore (GRID:grid.59025.3b) (ISNI:0000 0001 2224 0361) 
 Singapore University of Technology and Design, Engineering Product Development, Singapore, Singapore (GRID:grid.263662.5) (ISNI:0000 0004 0500 7631) 
 KTH Royal Institute of Technology, School of Industrial Engineering and Management, Stockholm, Sweden (GRID:grid.5037.1) (ISNI:0000000121581746) 
Pages
4105-4113
Publication year
2018
Publication date
Feb 2018
Publisher
Springer Nature B.V.
ISSN
02683768
e-ISSN
14333015
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2490848274
Copyright
© Springer-Verlag London Ltd. 2017.