Calculation of Bolted Flange Connections of Floating and Metal-to-Metal Contact Type

Schaaf, Manfred; Bartonicek, J.

doi:10.1115/pvp2003-1874

Cited by 3 publications

(3 citation statements)

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“…Źródłem tej nieliniowości są m.in. uszczelki lub podkładki często stosowane jako elementy pośrednie w tego typu połączeniach [14,15].…”

Section: Wprowadzenieunclassified

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Non-linearity of the contact layer between elements joined in a multi-bolted connection and the preload of the bolts

Grzejda¹

2016

Combustion Engines

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The paper presents modeling and calculations of multi-bolted connections at the assembly stage on an example of the engine cylinder head-block connection. The physical model of the connection was introduced as a combination of three subsystems: the set of bolts, the joined element and the contact layer between the joined element and the rigid support. The finite element method (FEM) was used for the modeling. Bolts were replaced with hybrid elements. The joined element was modeled with spatial finite elements. The Winkler model of the contact layer has been taken into consideration. The truth of the theorem has been examined, according to which non-linearity of the contact layer has a negligible impact on the final values of the bolt forces in the case of sequential preloading of the multi-bolted connection. The results of the calculations of a selected multi-bolted connection have been compared with the experimental results.

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“…Źródłem tej nieliniowości są m.in. uszczelki lub podkładki często stosowane jako elementy pośrednie w tego typu połączeniach [14,15].…”

Section: Wprowadzenieunclassified

“…Multi-bolted connections (composed of many objects remaining in contact) are treated as non-linear systems in the calculations. The source of this non-linearity are, for example, gaskets or washers often used as additional intermediate elements in this type of connections [14,15].…”

Section: Introductionmentioning

confidence: 99%

Non-linearity of the contact layer between elements joined in a multi-bolted connection and the preload of the bolts

Grzejda¹

2016

Combustion Engines

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“…It suggests design solutions to complicated problems including gaskets and internal pressure. As Schaaf et al states in ASME conference proceeding, EN13445, which is a European standard for flange calculation, is based on ASME code [10].…”

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confidence: 99%

Development of Artificial Neural Network Based Design Tool for Aircraft Engine Bolted Flange Connection Subject to Combined Axial and Moment Load

Sanli

Gürses

Çöker

et al. 2017

Volume 1: Advances in Aerospace Technology

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iv I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not original to this work. Name, Last name : Tahir Volkan SanlıSignature : v ABSTRACT DEVELOPMENT In this thesis, a design tool using artificial neural network (ANN) is developed for the bolted flange connections, which enables the user to analyze typical aircraft engine connections subjected to combined axial and bending moment in a fast yet very accurate way. The neural network trained for the design tool uses the database generated by numerous finite element analyses for different combinations of parametric design variables of the bolted flange connection. The defined parameters are the number of bolts, the bolt size, the shaft thickness, the flange thickness, the pretension load acting on the bolt and the combined external axial force and bending moment. The outputs gathered from total 12000 FE analyses are the bolt reaction force and the average flange stress, which are collected to be used as database for the ANN training process together with the input design parameters. The results of the trained ANN are then compared with the FEA results. The comparison proves that the neural network shows great compliance with the non-linear FEA within the range of design parameters. As the last step, a graphical user interface is developed to turn the neural network into a user-friendly bolted flange design tool. It is believed that the developed design tool can replace the non-linear finite element analysis and be vi used very effectively in an optimization framework for the weight minimization of cylindrical bolted flange connections of aircraft engines.

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Development of Bolted Flange Design Tool Based on Finite Element Analysis and Artificial Neural Network

Yıldırım

Akay

Gülaşık

et al. 2015

Volume 9: Mechanics of Solids, Structures and Fluids

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In bolted flange connections, commonly utilized in aircraft engine designs, structural integrity and minimization of the weight are achieved by the optimum combination of the design parameters utilizing the outcome of many structural analyses. Bolt size, the number of bolts, bolt locations, casing thickness, flange thickness, bolt preload, and axial external force are some of the critical design parameters in bolted flange connections. Theoretical analysis and finite element analysis (FEA) are two main approaches to perform structural analysis of bolted flange connections. Theoretical approaches require the simplification of the geometry and are generally oversafe. In contrast, finite element analysis is more reliable but at the cost of high computational power. In this paper, a methodology is developed for iterative analyses of bolted flange that utilizes artificial neural network approximation of a database formed with more than ten thousand non-linear analyses with contact algorithm. In the design tool, a structural analysis database is created by taking permutations of the parametric variables. The number of intervals for each variable in the upper and lower range of the variables is determined with the parameters correlation study in which the significance of parameters are evaluated. The prediction of the ANN based design tool is then compared with FEA results and the theoretical approach of ESDU. The results show excellent agreement of the ANN based design tool with the actual non-linear finite element analysis results within the training limits of the ANN.

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Calculation of Bolted Flange Connections of Floating and Metal-to-Metal Contact Type

Cited by 3 publications

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Non-linearity of the contact layer between elements joined in a multi-bolted connection and the preload of the bolts

Non-linearity of the contact layer between elements joined in a multi-bolted connection and the preload of the bolts

Development of Artificial Neural Network Based Design Tool for Aircraft Engine Bolted Flange Connection Subject to Combined Axial and Moment Load

Development of Bolted Flange Design Tool Based on Finite Element Analysis and Artificial Neural Network

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