PSI - Issue 8

ScienceDirect Available online at www.sciencedirect.com Av ilable o line at www.sciencedire t.com Sci ceDirect Structural Integrity Procedia 00 (2016) 000 – 000 Procedia Structu al Integrity 8 (2018) 184–191 Available online at www.sciencedirect.com ScienceDirect Structural I tegrity Procedia 00 (2017) 000–000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2017) 000–000

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

www.elsevier.com/locate/procedia

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. Copyright © 2018 The Authors. Published by Elsevier B.V. Peer-review und r responsibility of the Scientific Committee of AIAS 2017 International Conference Stress Analysis AIAS 2017 International Conference on Stress Analysis, AIAS 2017, 6-9 September 2017, Pisa, Italy Efficient determination of influence factors in fatigue of additive manufactured metals Gianni Nicoletto* University of Parma, Dept. of Engineering and Architecture, 43124 Parma, Italy Abstract The additive manufacturing (AM) technology transforms metal powder, layer by l yer, into structural components. Sectors such as aerospace and motor racing require: i) in-depth knowledge of mechanical behavior, especially fatigue, of these metals; ii) fatigue data for component design. In the recent years the industrial expectations about metal AM technology have exploded with a focus now on materials and components qualification. Material and AM process qualification costs are high because metal powder nd AM system processing time are expensive. The approach adopted in this paper to efficiently generate knowledge on influencing factors of the fatigue behavior of DMLS Ti-6Al4V alloy utilizes non-standard (i.e. miniature) specimens and simple plane bending test machines. After validation of the proposed methodology against test results for the same material obtained with standard specimens, the merit of the innovative approach is demonstrated by presenting original data on the influence of surface quality, heat treatment, coupled material directionality and notch effects on fatigue behaviour of DMLS Ti-6Al4V. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of AIAS 2017 International Conference on Stress Analysis. Keywords: Fatigue; Test method; Infuence factors on fatigue; Selective laser melting; Ti-6Al-4V 1. Introduction Additive manufacturing (AM) involves a number of different processes and materials. The common link is the possibility of producing functional parts of complex geometry directly from a CAD file with minimum material and AIAS 2017 International Conference on Stress Analysis, AIAS 2017, 6-9 September 2017, Pisa, Italy Efficient determination of influence factors in fatigu of additive manufactured metals Gianni Nicoletto* University of Parma, Dept. of Engineering and Architecture, 43124 Parma, Italy Abstract The additiv manufacturing (AM) technology transforms metal powd r, layer by layer, into structural components. Sectors such as aerospace and otor racing require: i) in-depth knowle ge of mechanical behavior, especially fatigue, of these metals; ii) fatigue data for component design. In th recent years the industri l expectations about metal AM technology ave explod d with a focus now on materials and compon nts qualification. M terial and AM process qualification costs ar high because metal powder and AM system processing time are expensive. The approach adopted i this p per to efficiently gen rate knowledge on influenci g factors of the fatigu behavior of DMLS Ti-6Al4V alloy utilizes non-sta dard (i.e. miniature) speci ens and simple plane bending test achines. After validatio of the prop se methodology against t st results for th same material obtai ed with standard specimens, t e merit of the innovative approach is demonstrated by pres nting original data on the influence of surface quality, heat treatment, coupled material directionality and notch effects on fatigue behaviour of DMLS Ti-6Al4V. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of AIAS 2017 International Conference on Stress Analysis. Keywords: Fatigue; Test method; Infuence factors on fatigue; Selective laser melting; Ti-6Al-4V 1. Introduction Additive manufacturing (AM) involves a nu ber of different processes and materials. The com on link is the possibility of producing functional parts of complex geometry directly from a CAD file with minimum material and © 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.

* Corresponding author. E-mail address: gianni.nicoletto@unipr.it * Correspon ing author. E-mail address: gianni.nicoletto@unipr.it

2452-3216 © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of AIAS 2017 International Conference on Stress Analysis. 2452 3216 © 2017 Th Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of AIAS 2017 International Conference on Stress Analysis.

* Corresponding author. Tel.: +351 218419991. E-mail address: amd@tecnico.ulisboa.pt

2452-3216 © 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of PCF 2016.

2452-3216 Copyright  2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of AIAS 2017 International Conference on Stress Analysis 10.1016/j.prostr.2017.12.020