PSI - Issue 5

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ScienceDirect Available online at www.sciencedirect.com Av ilable o line at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2016) 000 – 000 Procedia Structu al Integrity 5 (2017) 46 –467 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2017) 000 – 000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2017) 000 – 000

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XV Portuguese Conference on Fracture, PCF 2016, 10-12 February 2016, Paço de Arcos, Portugal Thermo-mechanical modeling of a high pressure turbine blade of an airplane gas turbine engine P. Brandão a , V. Infante b , A.M. Deus c * a Department of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal b IDMEC, Department of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal c CeFEMA, Department of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal Abstract During their operation, modern aircraft engine components are subjected to increasingly demanding operating conditions, especially the high pressure turbine (HPT) blades. Such conditions cause these parts to undergo different types of time-dependent degradation, one of which is creep. A model using the finite element method (FEM) was developed, in order to be able to predict the creep behaviour of HPT blades. Flight data records (FDR) for a specific aircraft, provided by a commercial aviation company, were used to obtain thermal and mechanical data for three different flight cycles. In order to create the 3D model needed for the FEM analysis, a HPT blade scrap was scanned, and its chemical composition and material properties were obtained. The data that was gathered was fed into the FEM model and different simulations were run, first with a simplified 3D rectangular block shape, in order to better establish the model, and then with the real 3D mesh obtained from the blade scrap. The overall expected behaviour in terms of displacement was observed, in particular at the trailing edge of the blade. Therefore such a model can be useful in the goal of predicting turbine blade life, given a set of FDR data. 2nd International Conference on Structural Integrity, ICSI 2017, 4-7 September 2017, Funchal, Madeira, Portugal Force identification in bolts of flange connections for structural health monitoring and failure prevention Piotr Nazarko * , Leonard Ziemianski Rzeszow University of Technology, Powstancow Warszawy 12, 35-959 Rzeszow, Poland Abstract Force identification in bolts of flange connection is not only important to preserve the structure integrity but also to understand how do s it works or even improve code procedures. Due to the relaxati n phen menon it becomes even more important in case of compressed bolts. In this paper a bolted flange connection was examined during static tensile test. Four of six bolts were equipped with washer load cells. Alternatively some bolts were equipped with piezoelectric transducers (actuator and sensor) in order to measure signals of elastic waves. It was noted that the load increasing causes changes in the signals measured. Principal components analysis was used for dimensionality reduction of measured signals. The aim of this study was to investigate the use of elastic waves and artificial neural networks for the purpose of force identification. Examples of preliminary results have shown that force in each bolt may be estimated with relatively good accuracy. © 2017 The Authors. Published by Elsevier B.V. Peer-review und r responsibility of the Scientific Committee of ICSI 2017. Keywords: Force prediction; artificial neural networks; structural health monitoring; flange connection 2nd International Conference on Structural Integrity, ICSI 2017, 4-7 September 2017, Funchal, Madeira, Portugal Force identification in bolts of flange connections for structural health monitoring and failure prevention Piotr Nazarko * , Leonard Ziemianski Rzeszow University of Technology, Powsta cow Warszawy 12, 35-959 Rzeszow, Poland Abstract Force identification in bolts of flange con ection is not only imp rtant to pr serve the structur integrity but also t und rstand how does it works or even improve code proc dures. Due to th relaxation phenomenon it becomes even more important in case of comp ssed bolts. In this paper a bolted flange connection was examined during static tensile test. Four of six bolts were equipped with washer load cells. Alternatively some bolts were equipped with piezoelectric transducers (actuator and sensor) in o der to measure signals of el stic waves. It was not d that the load increasing causes changes in the signals measured. Principal compon nts analysis was used for dimensionality r duction f meas red ignals. The aim of this study was to inv stigate the use of elastic aves nd artificial neural networks for th purpos of force identification. Examples of preliminary results have shown that force in each bolt may be stimated with relatively good accuracy. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of ICSI 2017. Keywords: Force prediction; artificial neural networks; structural health monitoring; flange connection © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of ICSI 2017

© 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of PCF 2016. 1. Introduction 1. Introduction

Keywords: High Pressure Turbine Blade; Creep; Finite Element Method; 3D Model; Simulation. Force measurement in bolts is important in many industrial and engineering applications. Most often they are carried out during laboratory tests of prototype connections to study the behaviour of their individual components. The second area are non-destructive tests (NDT) and structural health monitoring (SHM) systems which enhance Force measurement in bolts is im ortant in ma y indu trial and engin ering applications. Most often they are carried out during laboratory tests of prototype connections to study t e behaviour of their individual compone ts. The second area are non-destructive tests (NDT) and structural health monitoring (SHM) systems which enhance

2452-3216 © 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of PCF 2016. 2452-3216  2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of ICSI 2017 10.1016/j.prostr.2017.07.142 * Corresponding author. Tel.: +351 218419991. E-mail address: amd@tecnico.ulisboa.pt 2452 3216 © 2017 Th Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of ICSI 2017. 2452-3216 © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of ICSI 2017. * * Corresponding uthor. Tel.: +48-17-865-1621; fax: +48-17-865-1723. E-mail address: pnazarko@prz.edu.pl * * Corresponding author. Tel.: +48-17-865-1621; fax: +48-17-865-1723. E-mail address: pnazarko@prz.edu.pl