Towards Automatic Welding-Robot Programming Based on Product Model

Ioan-Matei Sarivan*, Ole Madsen, Brian Vejrum Wæhrens

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citationer (Scopus)

Abstract

In the past decades, the programming of welding-robots has been given significant attention in the literature and commercially. However, in an engineer-to-order context, it still involves hard-coded parameters and requires a high amount of time to complete in an error-free manner. Welding-robot programming is a time-consuming process that requires critical human input to plan and execute the welding task. A direct consequence is low utilisation of welding-robots which renders the ownership of such devices unprofitable. This paper presents a novel approach for automatic programming of welding-robots based on product models. Instead of relying on hard-coding, the proposed system draws the necessary parameters from a product model, which contain most of the data needed to obtain a robot welding program. The aim is to integrate welding-robot programming in a seamless one-piece information flow across the production chain. The conceptual approach is demonstrated in practice and validated by experimenting with an elementary product. Results show that human input can be eliminated when it comes to the programming of robots, as long as specific criteria are met.
OriginalsprogEngelsk
TitelTowards Sustainable Customization: Bridging Smart Products and Manufacturing Systems
Antal sider8
ForlagSpringer
Publikationsdato1 nov. 2021
Sider174-181
Artikelnummer19
KapitelSmart Automation and Human Machine Collaboration
ISBN (Trykt)978-3-030-90699-3
ISBN (Elektronisk)978-3-030-90700-6
DOI
StatusUdgivet - 1 nov. 2021
Begivenhed8th Changeable, Agile, Reconfigurable and Virtual Production Conference: Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Denmark, Aalborg
Varighed: 1 nov. 20212 nov. 2021
https://carv2020.com/

Konference

Konference8th Changeable, Agile, Reconfigurable and Virtual Production Conference
LokationDenmark
ByAalborg
Periode01/11/202102/11/2021
Internetadresse
NavnLecture Notes in Mechanical Engineering
ISSN2195-4356

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