Publication:
Simplified optimization model and analysis of twist beam rear suspension system

dc.contributor.authorAlbak, Emre İsa
dc.contributor.authorSolmaz, Erol
dc.contributor.authorÖztürk, Ferruh
dc.contributor.buuauthorALBAK, EMRE İSA
dc.contributor.buuauthorSOLMAZ, EROL
dc.contributor.buuauthorÖZTÜRK, FERRUH
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentOtomotiv Mühendisliği Bölümü
dc.contributor.orcid0000-0001-9215-0775
dc.contributor.orcid0000-0001-9369-3552
dc.contributor.researcheridI-9483-2017
dc.contributor.researcheridHRA-1531-2023
dc.contributor.researcheridFRD-1816-2022
dc.date.accessioned2024-06-04T06:45:18Z
dc.date.available2024-06-04T06:45:18Z
dc.date.issued2021-04-01
dc.description.abstractTwist beam rear suspension systems are frequently used in front wheel drive cars owing to their compactness, lightweight and cost-efficiency. Since the kinematic behavior of twist beam rear suspension systems are determined by the elastic properties of the twist beam, the twist beam is the most critical component of this suspension system. In the study, a simplified optimization model is presented to offer designers the most suitable beam structure in the early stage of the vehicle system development. With the optimization model, designers will be able to obtain the most suitable twist beam structure in a very short time. Opposite wheel travel analysis based on finite element modeling of twist beam is conducted to examine the kinematic performance of the twist beam rear suspension. The cross-section, position and direction of the twist beam are the most important parameters affecting the performance of the twist beam rear suspension system. In this study, optimization studies with 25 design variables including variable cross-sections, twist beam position and twist beam orientation are performed. Nine different optimization studies are carried out to investigate the effects of design variables better. In optimization studies carried out with the genetic algorithm, the objective and constraint functions are obtained with the moving least squares meta-modeling method. In the study, toe angle, camber angle and roll steer are decided as constraints, and mass as the objective function. With the optimization models, lightweight designs up to 25% have been obtained according to the initial design. It is validated that the proposed simplified model and analysis of twist beam rear suspension with connecting bushing is a quite efficient approach in terms of accuracy and to speed up the optimum design process.
dc.identifier.doi10.1177/0954407020963988
dc.identifier.eissn2041-2991
dc.identifier.endpage1445
dc.identifier.issn0954-4070
dc.identifier.issue5
dc.identifier.startpage1434
dc.identifier.urihttps://doi.org/10.1177/0954407020963988
dc.identifier.urihttps://journals.sagepub.com/doi/10.1177/0954407020963988
dc.identifier.urihttps://hdl.handle.net/11452/41701
dc.identifier.volume235
dc.identifier.wos000624612300021
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherSage Publications
dc.relation.journalProceedings of The Institution of Mechanical Engineers Part D-journal of Automobile Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDesign
dc.subjectAxle
dc.subjectTwist beam suspension system
dc.subjectOptimization
dc.subjectToe angle
dc.subjectCamber angle
dc.subjectFinite element model
dc.subjectScience & technology
dc.subjectTechnology
dc.subjectEngineering, mechanical
dc.subjectTransportation science & technology
dc.subjectEngineering
dc.subjectTransportation
dc.titleSimplified optimization model and analysis of twist beam rear suspension system
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Otomotiv Mühendisliği Bölümü
relation.isAuthorOfPublicationd966c82c-3610-4ddf-9d0a-af656d61472a
relation.isAuthorOfPublicationc1b21677-a248-47ee-baba-2f53cfeb7f50
relation.isAuthorOfPublication407521cf-c5bd-4b05-afca-6412ef47700b
relation.isAuthorOfPublication.latestForDiscoveryd966c82c-3610-4ddf-9d0a-af656d61472a

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