Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1465
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dc.contributor.authorBayram, Utku-
dc.contributor.authorAcar, Erdem-
dc.date.accessioned2019-06-26T08:07:00Z
dc.date.available2019-06-26T08:07:00Z
dc.date.issued2015-08
dc.identifier.citationBayram, U., & Acar, E. (2015). Tolerance analysis with multiple surrogate models. Acta Phys. Polonica A, 128(2), 447-449.en_US
dc.identifier.issn0587-4246
dc.identifier.urihttps://ascelibrary.org/doi/10.1061/AJRUA6.0000979-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/1465-
dc.description.abstractDesign and analysis of modern engineering systems are complicated, mostly relying on computational analyses codes and hence often computationally expensive. Meanwhile, improved computer-aided design and numerical simulation methods are used extensively in the design process. Even continuing growth of computing power and speed, computationally cheap and reliable models or simulation techniques are not available, at least as ready-to-use computer analysis codes. The necessity of tolerance analysis takes important place at the same time with improved CAD and computer based process planning, because of high quality production requirements, and reduces manufacturing costs. Simulation based design and optimization becomes the only option to meet the specifications, and improves the system reliability. In the last few decades, the use of surrogate models has achieved significant advantages, because they provide fast computation and design investigation as they replace computationally expensive to run computer analyses with cheap to run approximations. Surrogate models also simplify the integration of analyses codes to optimization and reliability assessment studies. In this paper, response surface and Kriging surrogate models are used within a Monte Carlo simulation framework for tolerance analysis. As an illustrative example problem, tolerance analyses of a clutch assembly with nonlinear objection function are used. The effects of the surrogate model parameters (e.g., the use of different regression polynomials) and the number of training points on tolerance analysis are explored.en_US
dc.language.isoenen_US
dc.publisherPolish Acad Sciences Inst Physicsen_US
dc.relation.ispartofACTA Physica Polonica Aen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleTolerance Analysis with Multiple Surrogate Modelsen_US
dc.typeArticleen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Mechanical Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Makine Mühendisliği Bölümütr_TR
dc.identifier.volume128
dc.identifier.issue2B
dc.identifier.startpageB447
dc.identifier.endpageB449
dc.authorid0000-0002-3661-5563-
dc.identifier.wosWOS:000363011700136en_US
dc.identifier.scopus2-s2.0-84947805146en_US
dc.institutionauthorAcar, Erdem-
dc.identifier.doi10.12693/APhysPolA.128.B-447-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ3-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.7. Department of Mechanical Engineering-
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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