VisDeburr demonstration will illustrate the power of visual-guided deburring: measuring the location and size of the welding seams which remarkably improves the quality of grinding and makes it much more flexible.
A solution to adapt differences in the welding seams is to measure and analyse them and plan cleaning for robot reactively. Cleaning of welding seams is challenging due to variating dimensions: each seam is different. Therefore cleaning them automatically is a difficult task as conventional automation cannot react to variations of the parts. Currently the solution for cleaning of welding seams is done by humans. However, it is a heady and dirty task and it’s almost impossible to find workers to do this.
Challenge
Impact
However, when doing this task automatically, the quality is always the same.
FSTP Name:
VISDEBURR
Beneficiary Lead:
Convergent Information Technologies GmbH
convergent-it.com/
Austria
Beneficiary 2:
Flexido d.o.o.
www.flexido.eu/
Slovenia
Beneficiary 3:
Elektrorakenne Oy
www.elektrorakenne.fi/
Finland
Technology Area:
Robot programming, sensing, 3D simulation
End User:
Metal industry, plastic industry, wood industry
Start Date - End Date:
01/11/2021 - 31/08/2022
Duration:
11 months
FSTP Funding:
190 330,00 €
TRL Level at Start:
6
TRL Level at End:
8
Number of early adopters raised:
2
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