PSI - Issue 8

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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. Copyright © 2018 The Authors. Published by Elsevier B.V. Peer-review u der r sponsibility of th Scientific Committee of AIAS 2017 I erna ional Conference on Stress Analysis AIAS 2017 International Conference on Stress Analysis, AIAS 2017, 6-9 September 2017, Pisa, Italy Study and identification of the thermo-electric behavior of lithium-ion batteries for electric vehicles Francesco Mocera a, *, Elena Vergori a a Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino - 10129, Italy Abstract In this paper, the study and the modeling of a lithium-ion battery cell is presented. A programmable electronic load was laboratory designed and realized in order to reduce the cost of the total equipment. The te ting system is supplemented with a commercial programmable power supply. This dedicated laboratory equipment can be used to apply cycles according to user defined current profiles. Some tests were performed on the battery cell. The acquired data allowed to carry out the battery modeling and the parameters identification procedure. Finally, the mechanical and the thermal phenomena to which a battery is subjected are presented and discussed. © 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: lithium-ion battery; battery testing equipment; battery modeling; parameters identification; hybrid vehicles; thermal issues; mechanical failure 1. Introduction The first Electric Vehicle (EV) was invented in 1834 but then EVs vanished from the scene because of the development of Internal Combustion Engine Vehicles (ICEVs). Nowadays, due to the environmental issue, the interest on EVs and on Hybrid Electric Vehicles (HEVs) is growing again thanks to their lower pollutant emissions. Chan (2002) shows that new studies and technological proposal are continuously involving the automotive field, and AIAS 2017 International Conference on Stress Analysis, AIAS 2017, 6-9 September 2017, Pisa, Italy St dy and identification of the thermo-electric behavior of lithium-ion batteries for electric vehicles Francesco Mocera a, *, Elena Vergori a a Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino - 10129, Italy Abstract In this paper, the study and the modeli g of a lithium-ion battery cell is presented. A programmable electronic load was laboratory designed and realized in order to reduce the cost of the total equipment. The testing system is supplemented with a commercial programmable power supply. This dedicated laboratory equipment can be used to apply cycl s according to user defined current profiles. So e tests were performed on the battery cell. The acquired data allowed to carry out the battery modeling and the parameters identification proce ure. Finally, the mechanical and the thermal phenomena to which a battery is subjected are presented and discussed. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of AIAS 2017 International Conference on Stress Analysis. K ywords: lithi m-ion battery; battery testing equipment; battery modeling; parameters identification; hybrid vehicles; thermal issues; mechanical failure 1. Introduction The first Electric Vehicl (EV) was invented in 1834 but then EVs vanished from the scene because of the development of Internal Combustion Engine Vehicles (ICEVs). Nowadays, due to the environmental issue, the interest on EVs and on Hybrid Electric Vehicles (HEVs) is growing again thanks to their lower pollutant emissions. Chan (2002) shows that new studies and technological proposal are continuously involving the automotive field, 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. Tel.: +39-011-090-6897; fax: +39-011-564-6999. E-mail address: francesco.mocera@polito.it * Correspon ing author. Tel.: +39-011-090-6897; fax: +39-011-564-6999. E-mail address: francesco.mocera@polito.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.2017.12.014