A computational design framework for lubrication interfaces with active micro-textures

buir.contributor.authorPekol, Sena
buir.contributor.authorKılınç, Özge
buir.contributor.authorTemizer, İlker
buir.contributor.orcidTemizer, İlker|0000-0003-3043-7521
buir.contributor.orcidPekol, Sena|0009-0009-1593-6411
dc.citation.epage122101-13
dc.citation.issueNumber12
dc.citation.spage122101-1
dc.citation.volumeNumber146
dc.contributor.authorPekol, Sena
dc.contributor.authorKılınç, Özge
dc.contributor.authorTemizer, İlker
dc.date.accessioned2025-02-27T10:02:44Z
dc.date.available2025-02-27T10:02:44Z
dc.date.issued2024-08-27
dc.departmentDepartment of Mechanical Engineering
dc.description.abstractThe major goal of the present study is to develop a computational design framework for the active control of hydrodynamically lubricated interfaces. The framework ultimately delivers an electrode distribution on an elastomeric substrate such that a voltage-controlled texture may be induced on its surface. This enables the setup to attain a desired time-dependent macroscopic lubrication response. The computational framework is based on a numerically efficient two-stage design approach. In the first stage, a topology optimization framework is introduced for determining a microscopic texture and the uniform modulation of its amplitude. The objective is to attain the targeted fluid flux or frictional traction signals based on the homogenization-based macroscopic response of the texture. As a minor goal, a novel unit cell geometry optimization feature will be developed which will enable working in a design space that is as unrestricted as possible. The obtained designs are then transferred to the second stage where the electrode distribution on a soft substrate is determined along with the voltage variation that delivers the desired amplitude variation. The first stage operates in a two-dimensional setting based on the Reynolds equation whereas the second stage operates in a three-dimensional setting based on an electroelasticity formulation. The two stages are heuristically coupled by transferring the texture topology to the electrode distribution through a projection step. The viability of such an active lubrication interface design approach is demonstrated through numerous examples that methodically investigate the central features of the overall computational framework.
dc.identifier.doi10.1115/1.4066018
dc.identifier.eissn1528-8897
dc.identifier.issn0742-4787
dc.identifier.urihttps://hdl.handle.net/11693/116922
dc.language.isoEnglish
dc.publisherThe American Society of Mechanical Engineers
dc.relation.isversionofhttps://doi.org/10.1115/1.4066018
dc.rightsCC BY-NC-ND 4.0 DEED (Attribution-NonCommercial-NoDerivatives 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source.titleJournal of Tribology
dc.subjectTopology optimization
dc.subjectHomogenization
dc.subjectHydrodynamic lubrication
dc.subjectActive texture
dc.titleA computational design framework for lubrication interfaces with active micro-textures
dc.typeArticle

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