A novel engineering method for the power flow assessment in servo-actuated automated machinery

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dc.contributorInternational FAIM Conference 24th : 2014 : San Antonio, Texas
dc.contributorUniversity of Texas at San Antonio. Center for Advanced Manufacturing and Lean Systems
dc.contributor.authorOliva, Enrico
dc.contributor.authorBerselli, Giovanni
dc.contributor.authorPellicciari, Marcello
dc.date.accessioned2022-07-11T17:35:27Z
dc.date.available2022-07-11T17:35:27Z
dc.date.issued2014
dc.descriptionPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio
dc.descriptionIncludes bibliographical references
dc.description.abstractMultipurpose and programmable servo-actuated mechanisms may be envisaged as the key technology for increasing flexibility and re-configurability of modern automated machinery. Unfortunately, based on the current state-of-the-art, these mechatronic devices are extremely flexible but generally energy intensive, thus compromising the overall system sustainability. Nonetheless, the system power consumption can be partially reduced if energy optimality is introduced as a design goal along with the global productivity. Naturally, as a first step towards the practical implementation of any energy-optimality criterion, the end user should be capable of predicting the system power flow.
dc.identifier.otherhttp://dx.doi.org/10.14809/faim.2014.0259
dc.identifier.urihttps://hdl.handle.net/20.500.12588/965
dc.language.isoen_US
dc.publisherDEStech Publications, Inc.
dc.relation.ispartofseriesProceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing
dc.subjectComputer integrated manufacturing systems--Energy consumption
dc.subjectRobots, Industrial--Energy consumption
dc.subjectFlexible manufacturing systems
dc.subjectMechatronics
dc.titleA novel engineering method for the power flow assessment in servo-actuated automated machinery
dc.typeArticle

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