PSI - Issue 5

ScienceDirect Available online at www.sciencedirect.com Available online at www.sciencedirect.com ienceDirect Structural Integrity Procedia 00 (2016) 000 – 000 Procedia Structu al Integrity 5 (2017) 131–138 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2017) 000 – 000 Available online at www.sciencedirect.com Sci nceDir t 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 Anomaly detection in composite elements using Lamb waves and soft computing methods Piotr Nazarko * , Leonard Ziemiański Rzeszow University of Technology, Powstancow Warszawy 12, 35-959 Rzeszow, Poland Composite materials are widely used in many important structures, which in turn entails the need to develop sensitive and reliable structural health monitoring (SHM) systems. The aim of this study was to investigate the use of guided waves and artificial neural networks as essential components of a two-stage diagnostics system. This system was designed to detect anomalies and to assess their parameters. This paper presents the first result of the application of this system for evaluation of samples made from composite materials. Defects of various origin were artificially introduced. Grids of 8 and 12 piezoelectric transducers were used. Principal components analysis was used for dimensionality reduction of measured signals. Examples of preliminary fault detection results showed that any signal anomalies are detected perfectly whereas the prediction of damage level allowed to distinguishing the defects. Successful experiments carried out o the studied specimens have already proved that this system was able to perform automatic analysis of the elastic waves and accelerate the process of structures diagnosis. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of ICSI 2017. Keywords: Novelty detection; neural networks; structural health monitoring; composite materials; PCA Composite mate ials, due to their durabil ty, streng h and relatively low weight by volume, for many years have been used in the transport industry (aviation, road vehicles, railway). Recently they have become popular also in the construction of buildings, especially as structural components of bridges (e.g. box girders). However, the manufacturing process of these materials and their subsequent use carry the risk of latent defects such as voids, 2nd International Conference on Structural Integrity, ICSI 2017, 4-7 September 2017, Funchal, Madeira, Portugal Anomaly detection in composite elements using Lamb waves and soft computing methods Piotr Nazarko * , Leonard Ziemiański Rzeszow University of Technology, Powstancow Warszawy 12, 35-959 Rzeszow, Poland Abstract Composite ma erials are widely used in many important structures, hich turn entails the need to develop ensitive and reliable structural health monit ring (SHM) sys ems. Th a m of thi tudy was to investigate the use of gui d waves and artificial neural networks as s ential compon nts of a two-stage diagnostics system. This s st was designed t detect anomalies and to assess their p rameters. This p per presents the firs result of the application of this system for evalua ion of sampl s mad from composite materials. Defects of v rio s origin were artificially introduced. Grids of 8 a d 12 piezoelectric transducers were us d. Principal components alysis was used for dimensionality eduction of measured signals. Examples of pr liminary fault detection results showed that any signal ano alies ar detected p rfectly whereas the prediction of damage level allow d to distinguishi g the defects. Succes ful exp riments c rried out on the studied specimens have alre dy proved that this system was able to perform automatic analysis of the elastic waves and accelerate the process of structures diagnosis. © 2017 The Authors. Publ shed by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of ICSI 2017. Keywords: Novelty detection; neural networks; structural health monitoring; composite materials; PCA 1. Introduction Composite materials, due to their durability, strength and relatively low weight by olume, for many years hav been used in the transport industry (aviation, road vehi les, railway). Recently they have becom popular also in constru tion of buildings, peci lly a structural components of bridg s (e.g. box girders). However, the manufacturing process of these materials and their subsequent use carry the risk of latent defects such as voids, © 2017 The Authors. Published y 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. Keywords: High Pressure Turbine Blade; Creep; Finite Element Method; 3D Model; Simulation. Abstract 1. Introduction

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.2017.07.080 * 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 author. 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