Balancing tradeoffs between machining time and energy consumption for impeller rough machining

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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.authorVelasquez Arriaza, Oscar
dc.contributor.authorKim, Dong-Won
dc.contributor.authorLee, Jong-Yeong
dc.contributor.authorSuhaimi, M. A.
dc.date.accessioned2022-07-11T17:35:37Z
dc.date.available2022-07-11T17:35:37Z
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.abstractElectrical energy is directly linked to society prosperity across the globe
dc.description.abstractmuch of this due to the diverse machining and manufacturing processes. Keeping pace with the high energy demand growth will require constant efforts on investment and research to explore new alternatives. This paper outlines the application of multiple response optimization in order to find a balance in the tradeoff between production time and energy consumption in 5- axis impeller rough machining. It is well known that higher speed reduces the machining time but increases the energy consumption, and vice versa. By utilizing response surface methodology (RSM) together with desirability function it is possible to find a quantitative form of the relationship between outputs and the independent factors involved in the process. Four independent factors were selected, namely, spindle speed, feed rate, depth and width of cut. The responses are consumed energy and machining time. The results showed that selecting an appropriate feed rate is crucial to balance the tradeoffs between energy and time. Spindle speed is the major factor that consumes more energy, while width of cut is the most influential factor on machining time.
dc.identifier.otherhttp://dx.doi.org/10.14809/faim.2014.0671
dc.identifier.urihttps://hdl.handle.net/20.500.12588/1004
dc.language.isoen_US
dc.publisherDEStech Publications, Inc.
dc.relation.ispartofseriesProceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing
dc.subjectMachining--Energy consumption
dc.subjectHigh-speed machining--Energy consumption
dc.subjectCutting machines
dc.subjectSpindles (Machine-tools)
dc.titleBalancing tradeoffs between machining time and energy consumption for impeller rough machining
dc.typeArticle

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