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Energy model for motion planning of 2D-belt press line tending robots
WMG, University of Warwick, Coventry, CV4 7AL, United Kingdom.ORCID iD: 0000-0002-0044-2795
ISolve Technologies, Chennai, 600018, India.
University West, Department of Engineering Science, Division of Production Systems. (PTW)ORCID iD: 0000-0002-8878-2718
University West, Department of Engineering Science, Division of Production Systems. (PTW)ORCID iD: 0000-0002-6604-6904
2020 (English)In: International Journal of Manufacturing Research, ISSN 1750-0591, Vol. 15, no 1, p. 52-72Article in journal (Refereed) Published
Abstract [en]

A current trend in production is to reduce energy consumption where possible not only to lower the cost but also to be a more energy efficient entity. This paper presents an energy model to estimate the electrical energy consumption of 2D-belt robots used for material handling in multi-stage sheet metal press lines. An estimation of the energy consumption is computed by the proposed energy model based on the robot components’ specifications, the robot path and trajectory. The proposed model can predict the energy consumption offline by simulation, and thus, before installation, avoiding the need for physical experiments. It is demonstrated that it can be used for predicting potential energy reductions achieved by optimising the motion planning. Additionally, it is also shown how to investigate the energy saving achieved by using mechanical brakes when the robot is idle. This effectively illustrates the usefulness of the proposed energy model. © 2020 Inderscience Enterprises Ltd.

Place, publisher, year, edition, pages
Inderscience Enterprises Ltd. , 2020. Vol. 15, no 1, p. 52-72
Keywords [en]
Belts; Energy efficiency; Energy utilization; Materials handling; Motion planning; Potential energy; Presses (machine tools); Robotics; Robots; Sheet metal, Electrical energy consumption; Energy modelling; Energy reduction; Material handling; Mechanical brakes; Optimisations; Physical experiments; Reduce energy consumption, Robot programming
National Category
Robotics
Research subject
ENGINEERING, Manufacturing and materials engineering; Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-15081DOI: 10.1504/IJMR.2020.105477Scopus ID: 2-s2.0-85081357301OAI: oai:DiVA.org:hv-15081DiVA, id: diva2:1416896
Funder
Region Västra Götaland, PROSAM+ RUN 612-0208-16Available from: 2020-03-25 Created: 2020-03-25 Last updated: 2020-04-06Bibliographically approved

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Svensson, BoDanielsson, Fredrik

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