TU Darmstadt / ULB / TUprints

Impact of Cycle Time and Payload of an Industrial Robot on Resource Efficiency

Stuhlenmiller, Florian ; Weyand, Steffi ; Jungblut, Jens ; Schebek, Liselotte ; Clever, Debora ; Rinderknecht, Stephan (2021)
Impact of Cycle Time and Payload of an Industrial Robot on Resource Efficiency.
In: Robotics, 2021, 10 (1)
doi: 10.26083/tuprints-00019314
Article, Secondary publication, Publisher's Version

Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

Download (1MB) | Preview
Item Type: Article
Type of entry: Secondary publication
Title: Impact of Cycle Time and Payload of an Industrial Robot on Resource Efficiency
Language: English
Date: 20 August 2021
Place of Publication: Darmstadt
Year of primary publication: 2021
Publisher: MDPI
Journal or Publication Title: Robotics
Volume of the journal: 10
Issue Number: 1
Collation: 18 Seiten
DOI: 10.26083/tuprints-00019314
Corresponding Links:
Origin: Secondary publication via sponsored Golden Open Access

Modern industry benefits from the automation capabilities and flexibility of robots. Consequently, the performance depends on the individual task, robot and trajectory, while application periods of several years lead to a significant impact of the use phase on the resource efficiency. In this work, simulation models predicting a robot’s energy consumption are extended by an estimation of the reliability, enabling the consideration of maintenance to enhance the assessment of the application’s life cycle costs. Furthermore, a life cycle assessment yields the greenhouse gas emissions for the individual application. Potential benefits of the combination of motion simulation and cost analysis are highlighted by the application to an exemplary system. For the selected application, the consumed energy has a distinct impact on greenhouse gas emissions, while acquisition costs govern life cycle costs. Low cycle times result in reduced costs per workpiece, however, for short cycle times and higher payloads, the probability of required spare parts distinctly increases for two critical robotic joints. Hence, the analysis of energy consumption and reliability, in combination with maintenance, life cycle costing and life cycle assessment, can provide additional information to improve the resource efficiency.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-193143
Classification DDC: 600 Technology, medicine, applied sciences > 600 Technology
Divisions: 16 Department of Mechanical Engineering > Institute for Mechatronic Systems in Mechanical Engineering (IMS)
Date Deposited: 20 Aug 2021 12:09
Last Modified: 14 Nov 2023 19:03
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/19314
Actions (login required)
View Item View Item