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

Stuhlenmiller, Florian and Weyand, Steffi and Jungblut, Jens and Schebek, Liselotte and Clever, Debora and Rinderknecht, Stephan (2021):
Impact of Cycle Time and Payload of an Industrial Robot on Resource Efficiency.
In: Robotics, 10 (1), p. 33. MDPI, e-ISSN 2218-6581,
DOI: 10.3390/robotics10010033,
[Article]

Abstract

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.

Item Type: Article
Erschienen: 2021
Creators: Stuhlenmiller, Florian and Weyand, Steffi and Jungblut, Jens and Schebek, Liselotte and Clever, Debora and Rinderknecht, Stephan
Title: Impact of Cycle Time and Payload of an Industrial Robot on Resource Efficiency
Language: English
Abstract:

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.

Journal or Publication Title: Robotics
Journal volume: 10
Number: 1
Publisher: MDPI
Uncontrolled Keywords: industrial robotics, motion planning, resource efficiency, life cycle costs, greenhouse gas emissions
Divisions: 13 Department of Civil and Environmental Engineering Sciences
13 Department of Civil and Environmental Engineering Sciences > Institute IWAR
13 Department of Civil and Environmental Engineering Sciences > Institute IWAR > Material Flow Management and Resource Economy
16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute for Mechatronic Systems in Mechanical Engineering (IMS)
Date Deposited: 02 Mar 2021 06:24
DOI: 10.3390/robotics10010033
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