Analysis of Energy Consumption of Robotic Welding Stations

Katarzyna Peta (), Marcin Suszyński, Marcin Wiśniewski and Marcel Mitek
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Katarzyna Peta: Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland
Marcin Suszyński: Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland
Marcin Wiśniewski: Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland
Marcel Mitek: Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland

Sustainability, 2024, vol. 16, issue 7, 1-16

Abstract: Analysis of the energy consumption of industrial robots during the implementation of a technological task can increase efficiency and minimize production costs, as well as extend the service life of robots, taking into account the rational use of energy sources. An important challenge in designing sustainable production processes is the selection of energy-saving technological equipment supporting the work of robots. Additionally, optimization of robot program codes, including parameters and robot movement paths, determines the energy efficiency of the robotic station. Welding is one of the most popular areas of process robotization due to its ability to increase production efficiency and improve the quality of part assembly compared to manual work. In these studies, an exemplary process of robotic welding of aluminum alloy parts was designed, analyzed, and optimized with an orientation towards sustainable development guidelines. This work also presents a review of current publications discussing the authors’ contribution to achieving energy efficiency in robotic welding processes. The purpose of this analysis is also to indicate directions for the development of future research work in order to minimize energy consumption in production processes with an appropriate level of product quality and increase production efficiency.

Keywords: energy consumption; Industry 5.0; robotic welding (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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