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dc.contributor.authorAbbas, Hussam
dc.contributor.authorSata, Amit
dc.date.accessioned2022-01-07T12:06:30Z
dc.date.available2022-01-07T12:06:30Z
dc.date.issued2021en_US
dc.identifier.issn2149-5262
dc.identifier.issn2149-0104
dc.identifier.urihttps://hdl.handle.net/11363/3220
dc.description.abstractInvestment casting is well-known for its distinguished characteristics such as manufacturing small industrial components of ferrous as well as nonferrous alloys used in aerospace, automobile, bio-medical, chemical, defense, etc. with closed tolerances at relatively low cost. These industrial components need to be defect free as well as must possess desired mechanical properties. This quality metrics (defect free castings with desired mechanical properties) is mainly driven by process parameters associated with different sub-processes of investment casting including wax pattern making, shell making, dewaxing, melting & pouring, and chemical composition of alloys. It is always challenging to identify such parameters affecting quality of investment castings. In this work, an application of Genetic Algorithm has been extended to identify critical parameters and their specific set of values affecting quality of investment castings. This technique is found be very useful in performing data analytics.en_US
dc.language.isoengen_US
dc.publisherİstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Pressen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectInvestment castingen_US
dc.subjectData analyticsen_US
dc.subjectGenetic algorithmen_US
dc.titleQuality improvement in investment castings using genetic algorithmen_US
dc.typearticleen_US
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.identifier.startpage75en_US
dc.identifier.endpage82en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Başka Kurum Yazarıen_US


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