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2452-3216 © 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of PCF 2016. ∗ Corresponding author E-mail address: g.arcidiacono@unimarconi.it 2210-7843 c 2017 The Authors. Published by Elsevier B.V. Peer-revi w under responsibility of the Scientific Comm ttee f AIAS 2017 International Conference on Stress Analysis. ∗ Corresponding author E-mail address: g.arcidiacono@unimarconi.it 2210-7843 c 2017 The 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 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.2017.12.018 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. ublished by E sevier B.V. Peer-review under responsibility of the Scientific Committee of AIAS 2017 International Conference on Stress Analysis AIAS 2017 International Conference on Stress Analysis, AIAS 2017, 6–9 September 2017, Pisa, Italy Interuniversity Research Center “STEERING” - STatistics for EnginERING: Design, Quality and Reliability G. Arcidi cono a, ∗ , R. Bern b , N. Bonora c , M. Catelani d , M. Pierini e a Department of Innovation and Information Engineering (DIIE), Guglielmo Marconi University, Via Plinio 44, 00193 Rome, Italy b Department of Statistics, Computer Science, Applications G. Parenti, University of Florence, Viale Morgagni 59, 50134 Florence, Italy c Department of Mechanical and Civil Engineering, University of Cassino and Lazio Meridionale, Via G. Di Biasio 43, 03043 Cassino, Italy d Department of Information Engineering, University of Florence, Via di Santa Marta 3, 50139 Florence, Italy e Department of Industrial Engineering, University of Florence, Via di Santa Marta 3, 50139 Florence, Italy Abstract In this paper we present the Interuniversity Research Center STEERING, formed in June 2017. The Research Center has been founded by three Italian Universities through five Departments. It represents the connection between Statistics and Engineering. The five Departments promoting it are the following: Department of Innovation and Information Engineering (Guglielmo Marconi University, Rome); Department of Statistics Computer Science Applications, Department of Information Engineering, Department of Industrial Engineering (University of Florence); Department of Mechanical and Civil Engineering (University of Cassino and Lazio Meridionale). The potentiality of the Research Center and some of its aims are explained through three empirical case studies. c 2017 The Authors. Published by Elsevier B.V. -re iew unde responsibility of the Scientific Committee of AIAS 2017 International Conference on Stress Analysis. Keywords: robust process optimization; experimental design; split-plot; quality; reliability The technological developments and the productivity of a country are strictly related to the scientific research in the engineering field. With this spirit, the necessity has become increasingly clear of improving the interdisciplinary feature for the scientific research, substantially by joining the statistical resources and knowledge, based on mathe matical and quantitative sciences, with engineering. In the statistical field, the recent methodological developments occurred for the last two decades have confirmed the need of improvement for quality and reliability starting from the product design step, in order to reduce actions during production. Therefore, process optimization is one of the funda mental steps to achieve high technological levels in almost of all the engineering fields: starting from materials, also for environmental sustainability, up to experimental studies relating the design of mechanical characteristics, by also AIAS 2017 International Conference on Stress Analysis, AIAS 2017, 6–9 September 2017, Pisa, Italy Interuniversity Research Center “STEERING” - STatistics for EnginERING: Design, Quality and Reliability G. Arcidiacono a, ∗ , R. Berni b , N. Bonora c , M. Catelani d , M. Pierini e a Department of Innovation and Inform tion Engineering (DIIE), G glielmo Marconi University, Via Plinio 44, 00193 Rome, Italy b Department of Statistics, Computer Science, Applications G. Parenti, University of Florence, Viale Morgagni 59, 50134 Florence, Italy c Department of Mechanical and Civil Engineering, University of Cassino and Lazio Meridionale, Via G. Di Biasio 43, 03043 Cassino, Italy d Department of Information Engineering, University of Florence, Via di Santa Marta 3, 50139 Florence, Italy e Department of Industrial E ineer ng, Univ sity of Florence, Via i Santa Marta 3, 50139 Fl rence Italy Abstract In this paper we present the Interuniversity Research Center STEERING, formed in June 2017. The Research Center has been founded by three Italian Universities through five Departments. It represents the connection between Statistics and Engineering. The five Departments promoting it are the following: Department of Innovation and Information Engineering (Guglielmo Marconi University, Rome); Department of Statistics Computer Science Applications, Department of Information Engineering, Department of Industrial Engineering (University of Flore ce); Department of Mechanical and Civil Engineering (University of Cassino and Lazio Meridionale). The potentiality of the Research Center and some of its aims are explained through three empirical case studies. c 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: robust process optimization; experimental design; split-plot; quality; reliability 1. Introduction The technological developments and the productivity of a country are strictly related to the scientific research in the engineering field. With this spirit, the necessity has become increasingly clear of improving the interdisciplinary feature for the scientific research, substantially by joining the statistical resources and knowledge, based on mathe matical and quantitative sciences, with engineering. In the statistical field, the recent methodological developments occurred for the last two decades have confirmed the need of improvement for quality and reliability starting from the product design step, in order to reduce actions during production. Therefore, process optimization is one of the funda mental steps to achieve high technological levels in almost of all the engineering fields: starting from materials, also for environmental sustainability, up to experimental studies relating the design of mechanical characteristics, by also © 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. 1. Introduction