Evaluating Energy Efficiency and Optimal Positioning of Industrial Robots in Sustainable Manufacturing

Optimizing the energy efficiency of robotic workstations is a key aspect of industrial automation. This study focuses on the analysis of the relationship between the position of the robot base and its energy consumption and time aspects. A number of 6-axis robots, including the ABB IRB 120 robot, were investigated in this research by combining measurements and simulations using the energy consumption measurement module in the ABB RobotStudio 2024.1.1 environment. The objective of this study was to develop an energy consumption model that can identify the optimal robot positions to minimize energy costs and time losses. The results suggest that the strategic positioning of the robot has a significant impact on its performance and efficiency. These results demonstrate that the ideal working distance of the robots is approximately 50% of its maximum range, and displacements along the X and Z axes affect the energy and time consumption. These findings suggest the existence of a trade-off between time and energy efficiency, providing a basis for further research into the optimization of robotic systems. Thus, this work offers new perspectives for the design of efficient robotic workstations for cross-sensory applications.

Authors

Institutions

Publication Details

Journal
Journal of Manufacturing and Materials Processing
Published
2024-12-01
DOI
https://doi.org/10.3390/jmmp8060276
Citations
8
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
2.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating Energy Efficiency and Optimal Positioning of Industrial Robots in Sustainable Manufacturing

Róbert Bočák, Tibor Horák, Roman Ružarovský
8 citations
Journal of Manufacturing and Materials Processing
Digital Transformation in Industry
2.79
article

Evaluating Energy Efficiency and Optimal Positioning of Industrial Robots in Sustainable Manufacturing

Róbert Bočák, Tibor Horák, Roman Ružarovský
article en
8 citations

Abstract

Optimizing the energy efficiency of robotic workstations is a key aspect of industrial automation. This study focuses on the analysis of the relationship between the position of the robot base and its energy consumption and time aspects. A number of 6-axis robots, including the ABB IRB 120 robot, were investigated in this research by combining measurements and simulations using the energy consumption measurement module in the ABB RobotStudio 2024.1.1 environment. The objective of this study was to develop an energy consumption model that can identify the optimal robot positions to minimize energy costs and time losses. The results suggest that the strategic positioning of the robot has a significant impact on its performance and efficiency. These results demonstrate that the ideal working distance of the robots is approximately 50% of its maximum range, and displacements along the X and Z axes affect the energy and time consumption. These findings suggest the existence of a trade-off between time and energy efficiency, providing a basis for further research into the optimization of robotic systems. Thus, this work offers new perspectives for the design of efficient robotic workstations for cross-sensory applications.

Journal of Manufacturing and Materials ProcessingVol. 8(6)
Slovak University of Technology in Bratislava (SK)
Affordable and clean energy
Openalex Percentile: Top 9%
Digital Transformation in Industry
2.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evaluating Energy Efficiency and Optimal Positioning of Industrial Robots in Sustainable Manufacturing — Róbert Bočák, Tibor Horák, et al. · Journal of Manufacturing and Materials Processing (2024) | TGRS Research Map | TGRS