Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach

Toktaş, İhsan; Özkan, Murat Tolga; Erdemir, Fulya; Yuksel, Nurullah

doi:10.2339/politeknik.683270

Cited by 6 publications

(9 citation statements)

References 10 publications

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“…Bunun yanında küresel bir kabuk içindeki çeşitli gerilme yığılmaları ile gerilme durumlarının analizi için teorik ve pratik çalışmalar yapılmıştır [18][19][20][21][22][23][24][25][26][27][28][29][30][31]. Gerilme yığılma faktörünün belirlenmesi ile ilgili olarak gerek temel gerilmeler gerekse basınç altındaki elemanların gerilme, gerinim ve deformasyon değişimleri farklı araştırmacılar tarafından araştırılmıştır [32][33][34][35][36][37][38] Kırılma mekaniği teoremlerine göre malzeme üzerindeki bileşke gerilme (σ; Asal gerilmeler, τ; Kayma gerilmeleri) ve emniyet katsayıları aşağıdaki denklemlerdeki gibi tanımlanır (Denklem 2-5):…”

Section: Bulgular (Findings)unclassified

Eliptik Delikli İnce Cidarlı Küresel Bir Elemanın Basınç Altında Gerilme Yığılma Faktörünün Sonlu Elemanlar Analizi Ve Yapay Sinir Ağları İle Modellenmesi

Toktaş

2024

Politeknik Dergisi

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Bu çalışmada; eliptik delikli ince cidarlı küresel bir elemanın basınç altındaki davranışları Sonlu Elemanlar Analiz (SEA) yöntemi ile parametrik olarak analiz edilmiş ve Yapay Sinir Ağları (YSA) ile modellenmiştir. Modelleme esnasında, küresel elemanın yarıçapı 500 mm. olarak alınmış ve değişken parametrelere göre küresel elemana cidar kalınlığı verilmiştir. Küresel elemanın içinden boydan boya geçen yarıçapları a ve b olan eliptik bir delik tanımlanmıştır. Küresel elemanın iç yüzeyine sabit basınç gerilmesi uygulanmış ve elemanda oluşan gerilmeler ve gerilme yığılma faktörleri optimize edilmiştir. Parametrik modelden elde edilen sonuçlar bir YSA modelinde öğretilerek farklı boyut ve basınç değerleri için eliptik delikli ince cidarlı küresel bir elemanın gerilme, gerinim, deformasyon, gerilme yığılma faktörleri ve farklı teoremlere göre emniyet katsayıları belirlenmiştir.

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Section: Bulgular (Findings)unclassified

Eliptik Delikli İnce Cidarlı Küresel Bir Elemanın Basınç Altında Gerilme Yığılma Faktörünün Sonlu Elemanlar Analizi Ve Yapay Sinir Ağları İle Modellenmesi

Toktaş

2024

Politeknik Dergisi

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“…Due to their structure ANNs are suitable particularly for problems too complex to be modeled and solved by classical mathematics and traditional procedures or for time savings, as is the issue in the particular study. Neural networks are employed for several structural analyses related problems, for example, design of trusses, 31 buckling behavior of plates, 32 stress concentration factor analysis, 33 etc. and they may be regarded as function approximators and classifiers that provide solutions instantaneously, a fact that is beneficial for real time damage conditioning.…”

Section: Setting-up and Evaluating The Ann Schemementioning

confidence: 99%

An abstract approach toward the structural digital twin of ship hulls: A numerical study applied to a box girder geometry

Anyfantis

2021

Proceedings of the Institution of Mechanical Engineers, Part M:

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Condition monitoring (CM) of ship hull structures is a promising field that has recently attracted the interested of researches. The main challenge behind CM is to develop a system that gets as input sensor readings from the structure and provide the damage locus as an output. In this regard, the current study proposes two alternative CM digital twin schemes for solving this inverse engineering problem. The first one is based on a Finite Element (FE) – Optimization cooperative framework that solves several times the model until the predicted strains match the measured ones and as such the damage location has been found. The other scheme is based on a cooperative framework of Artificial Neural Networks (ANNs) used for classification and fitting, that may be regarded as surrogated models which provide solutions instantaneously. The ANNs are trained through the numerical solutions provided by the FE model. A thin-walled hollow cantilever beam, that resembles a hull-girder subjected to principal stresses under vertical bending, has been adopted. The performed work has allowed for the selection and evaluation of the locations for sensor placement and the estimation of the damage sensitive area for monitoring. Both CM digital twin schemes have proven to be promising for the theoretical simplified examined case.

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“…Ozkan M. T., Toktas I. and Doganay S. K. [28], and Toktas I., Ozkan M. T., Aldemir F., Yuksel N. [29] also examined their studies on different subjects and a concept study structure was created.…”

Section: Introductionmentioning

confidence: 99%

Investigation of The Effect of Geometry Inner Thickness on New Designed Auxetic Structure

ERDOĞAN

Toktaş

2023

Politeknik Dergisi

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Poisson’s ratio is important mechanical property of materials and structure. Material and Structure showing negative Poisson’s ratios are called Auxetic. Properties of the Auxetic structures are very important to design the new structure, especially mechanical properties of the Auxetic materials that have structurally and functionally mission. Many researchers made experimental and theoretical works apropos this matter. In this study, the newly designed Auxetic lattice structure Poisson’s ratio was checked over via exploiting finite element analysis. 14 different lattice structures with respect to inner lattice thickness configurations are investigated. All examined structures have a negative Poisson’s ratio. Inner lattice thickness is increased; negative Poisson’s ratio values are decreased (closes to -1.) in these examined lattice structures. 4x2 lattice orientation has lowest Poisson’s ratio than 4x4 Lattice structure Poisson’s ratio, 4x2 is more Auxetic. 4.9 mm inner lattice thickness and 4x2 lattice matrix examined example has lowest Poisson’s ratio that is -0,55. Beneficial to indicate the purview of the structure on the applied force, the stiffness values and the stiffness/mass values were examined. Their energy dissipation capabilities were analyzed.

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Determination of Stress Concentration Factor (Kt) for a Crankshaft Under Bending Loading: An Artificial Neural Networks Approach

Abstract: Bu makaleye şu şekilde atıfta bulunabilirsiniz(To cite to this article): Toktas I., Ozkan M. T., Erdemir F. and Yuksel N., "Determination of stress concentration factor (Kt) for a crankshaft under bending loading: an artificial neural networks approach",

Cited by 6 publications

References 10 publications

Eliptik Delikli İnce Cidarlı Küresel Bir Elemanın Basınç Altında Gerilme Yığılma Faktörünün Sonlu Elemanlar Analizi Ve Yapay Sinir Ağları İle Modellenmesi

Eliptik Delikli İnce Cidarlı Küresel Bir Elemanın Basınç Altında Gerilme Yığılma Faktörünün Sonlu Elemanlar Analizi Ve Yapay Sinir Ağları İle Modellenmesi

An abstract approach toward the structural digital twin of ship hulls: A numerical study applied to a box girder geometry

Investigation of The Effect of Geometry Inner Thickness on New Designed Auxetic Structure

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