Optimizing the Implementation of a Robotic Welding System

Subject Areas :

Fionn Foley ¹ , Chris O’Donoghue ² , Joseph Walsh ³

1 - School of Science, Technology, Engineering and Mathematics, Munster Technological University, Clash, Tralee, Co. Kerry, Ireland, V92 CX88
2 - School of Science, Technology, Engineering and Mathematics, Munster Technological University, Clash, Tralee, Co. Kerry, Ireland, V92 CX88
3 - School of Science, Technology, Engineering and Mathematics, Munster Technological University, Clash, Tralee, Co. Kerry, Ireland, V92 CX88

Received: 2023-07-19 Accepted : 2023-07-22 Published : 2023-05-01

Keywords: Internet of Things, Fixture design, Industry 4.0, Robotic Welding, Robotic Programming, AgriTech,

Abstract :

This paper describes the research, development, and optimization of a robotic welding system at a leading Irish AgriTech company. The project required the development of robotic welding fixtures using best design principles and the generation of associated weld programs to enable the automated welding of several products in the production system of the company. This study provides complete fixtures in line with customer requirements using Autodesk Inventor CAD software. By following an integrated methodology that links the industry standard approach to fixture design with product development tools including QFD, Pugh charts, and DFMEA, a defined structure to this process is provided, while ensuring transferability throughout the industry. It was found that the generation of an industry-ready robotic welding program using Panasonic DTPS software was aided by following a prescribed methodology. This complex process was streamlined by applying the defined coordinated approach enabling the gradual knowledge growth necessary to complete an industry-ready robotic program. The study demonstrates that moving from traditional manufacturing methods to robotization is possible for an SME. The benefits for enterprises seeking to replace mechanical manufacturing processes by adopting robotic welding systems and consequently capitalizing on the potential of this robotic technology are evident.

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