A computational framework towards energy efficient casting processes

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dc.contributor.authorPapanikolaou, Michail
dc.contributor.authorPagone, Emanuele
dc.contributor.authorSalonitis, Konstantinos
dc.contributor.authorJolly, Mark R.
dc.contributor.authorMakatsoris, Makatsoris
dc.date.accessioned2019-01-02T15:35:42Z
dc.date.available2019-01-02T15:35:42Z
dc.date.issued2018-12-01
dc.description.abstractCasting is one of the most widely used, challenging and energy intensive manufacturing processes. Due to the complex engineering problems associated with casting, foundry engineers are mainly concerned with the quality of the final casting component. Consequently, energy efficiency is often disregarded and huge amounts of energy are wasted in favor of high quality casting parts. In this paper, a novel computational framework for the constrained minimization of the pouring temperature is presented and applied on the Constrained Rapid Induction Melting Single Shot Up-Casting (CRIMSON) process. Minimizing the value of the pouring temperature can lead to significant energy savings during the melting and holding processes as well as to higher yield rate due to the resulting reduction of the solidification time. Moreover, a multi-objective optimization component has been integrated into our scheme to assist decision makers with estimating the trade-off between process parameters.en_UK
dc.identifier.citationPapanikolaou M, Pagone E, Salonitis K, et al., (2019) A computational framework towards energy efficient casting processes. In: Dao D., et al., (Eds) Sustainable Design and Manufacturing 2018. KES-SDM 2018. Smart Innovation, Systems and Technologies, Volume 130, pp. 263-276en_UK
dc.identifier.isbn978-3-030-04289-9
dc.identifier.urihttps://doi.org/10.1007/978-3-030-04290-5_27
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/13766
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectCRIMSONen_UK
dc.subjectSustainabilityen_UK
dc.subjectComputational frameworken_UK
dc.subjectSand castingen_UK
dc.titleA computational framework towards energy efficient casting processesen_UK
dc.typeConference paperen_UK

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