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Available online at www.sciencedirect.com
ScienceDirect
Structural Integrity Procedia 00 (2016) 000–000
www.elsevier.com/locate/procedia
2452-3216 © 2016 The Authors. Published by Elsevier B.V.
Peer-review under responsibility of the Scientific Committee of PCF 2016.
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. Brandãoa, V. Infanteb, A.M. Deusc*
aDepartment of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisboa,
Portugal
bIDMEC, Department of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisboa,
Portugal
cCeFEMA, 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.
© 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.: +351 218419991.
E-mail address: amd@tecnico.ulisboa.pt
Procedia Structural Integrity 13 (2018) 1689–1694
2452-3216
2018 The Authors. Published by Elsevier B.V.
Peer-review under responsibility of the ECF22 organizers.
10.1016/j.prostr.2018.12.352
Available online at www.sciencedirect.com
ScienceDirect
Structural Integrity Procedia 00 (2018) 000–000
www.elsevier.com/locate/procedia
2452-3216 © 2018 The Authors. Published by Elsevier B.V.
Peer-review under responsibility of the ECF22 organizers.
ECF22 - Loading and Environmental effects on Structural Integrity
Change of magnetic properties in austenitic stainless steels due to
plastic deformation
Tatiana Oršulováa*, Peter Palčeka, Marek Roszakb, Milan Uhríčika, Milan Smetanaa,
Jozef Kúdelčíka
aFaculty of Mechanical Engineering & Faculty of Electrical Engineering, University of Žilina, 010 26 Žilina, Slovak republic
bInstitute of Engineering Materials and Biomaterials, Silesian University of Technology, Konarskiego 18a St, 44-100 Gliwice, Poland
Abstract
Austenitic stainless steels, investigated in this research, belong into a group of the so-called high-alloy TRIP (Transformation
Induced Plasticity) steels. The nondestructive evaluation (NDE) methods were used for determination of plastic deformation
influence in investigated materials. The NDE methods permit products to be inspected throughout their service life, to determine
when to repair or replace a particular part. The main goal of this study was to measure and thus separate different levels of
applied plastic deformation of selected conductive biomaterials. Two different devices were used to evaluate the effect of plastic
deformation. The first device was commercially available magnetic field sensor GF708. The second device was Magnet Physik,
on which is possible to determine magnetic quantities (remanence, coercivity), make measurements with surrounding coils to
determine the magnetic mean values and measure at temperatures up to 200 °C. Both of those devices are suitable for measuring
the magnetic properties. Effect of plastic deformation was observed by the light microscope, as well.
© 2018 The Authors. Published by Elsevier B.V.
Peer-review under responsibility of the ECF22 organizers.
Keywords: nondestructive evaluation; magnetic properties; plastic deformation; austenitic stainless steels
1. Introduction
External forces cause material deformation or deformation with a sufficiently powerful force that breaks through
the fracture. Due to the influence of the external forces, the material creates a tension that is manifested by a certain
arrangement of the mechanical stress (Jankura et al., 2008).
* Corresponding author. Tel.: +421-41-513-2632.
E-mail address: tatiana.orsulova@fstroj.uniza.sk
10.1016/j.prostr.2018.12.352 2452-3216
© 2018 The Authors. Published by Elsevier B.V.
Peer-review under responsibility of the ECF22 organizers.
Available online at www.sciencedirect.com
ScienceDirect
Structural Integrity Procedia 00 (2018) 000–000
www.elsevier.com/locate/procedia
2452-3216 © 2018 The Authors. Published by Elsevier B.V.
Peer-review under responsibility of the ECF22 organizers.
ECF22 - Loading and Environmental effects on Structural Integrity
Change of magnetic properties in austenitic stainless steels due to
plastic deformation
Tatiana Oršulováa*, Peter Palčeka, Marek Roszakb, Milan Uhríčika, Milan Smetanaa,
Jozef Kúdelčíka
aFaculty of Mechanical Engineering & Faculty of Electrical Engineering, University of Žilina, 010 26 Žilina, Slovak republic
bInstitute of Engineering Materials and Biomaterials, Silesian University of Technology, Konarskiego 18a St, 44-100 Gliwice, Poland
Abstract
Austenitic stainless steels, investigated in this research, belong into a group of the so-called high-alloy TRIP (Transformation
Induced Plasticity) steels. The nondestructive evaluation (NDE) methods were used for determination of plastic deformation
influence in investigated materials. The NDE methods permit products to be inspected throughout their service life, to determine
when to repair or replace a particular part. The main goal of this study was to measure and thus separate different levels of
applied plastic deformation of selected conductive biomaterials. Two different devices were used to evaluate the effect of plastic
deformation. The first device was commercially available magnetic field sensor GF708. The second device was Magnet Physik,
on which is possible to determine magnetic quantities (remanence, coercivity), make measurements with surrounding coils to
determine the magnetic mean values and measure at temperatures up to 200 °C. Both of those devices are suitable for measuring
the magnetic properties. Effect of plastic deformation was observed by the light microscope, as well.
© 2018 The Authors. Published by Elsevier B.V.
Peer-review under responsibility of the ECF22 organizers.
Keywords: nondestructive evaluation; magnetic properties; plastic deformation; austenitic stainless steels
1. Introduction
External forces cause material deformation or deformation with a sufficiently powerful force that breaks through
the fracture. Due to the influence of the external forces, the material creates a tension that is manifested by a certain
arrangement of the mechanical stress (Jankura et al., 2008).
* Corresponding author. Tel.: +421-41-513-2632.
E-mail address: tatiana.orsulova@fstroj.uniza.sk
1690 Tatiana Oršulová et al. / Procedia Structural Integrity 13 (2018) 1689–1694
2 Tatiana Oršulová et al./ Structural Integrity Procedia 00 (2018) 000–000
There are many techniques that allow determination and evaluation of mechanical changes in materials. One of
them is the nondestructive evaluation (NDE). The rapidly expanding role of the NDE methods in manufacturing,
power, construction and biomedical industries has generated a large demand for practitioners, engineers, and
scientists with knowledge of the subject. The NDE presents current practices, common methods and equipment,
applications and the potential and limitations of current NDE methods, in addition to the fundamental physical
principles underlying the NDE. Those methods can have a dramatic effect on the cost and reliability of products. The
methods can be used to evaluate prototype designs during the product development, to provide feedback for process
control during manufacturing and to inspect the final product prior to service. Additionally, the NDE methods permit
products to be inspected throughout their serviceable life to determine when to repair or replace a particular part. In
today’s economy, the concepts ‘‘repair or retire for cause’’ and ‘‘risk-informed inspection’’ are becoming very
important (Shull, 2002). The NDE offers a margin of safety for this equipment and gives users the means with which
to determine when equipment must be repaired or retired. The basic principle of NDE is quite simple. To determine
the quality or integrity of an item nondestructively, one should simply find a physical phenomenon that will interact
with and be influenced by a test specimen without altering the specimen’s function. This article focuses on one
possible electromagnetic NDE application: evaluation of mechanical conditions of the austenitic steels through a
measurement of their magnetic properties. The main goal is to measure and thus separate different levels of applied
plastic deformation of concrete conductive biomaterials. Commercially available magnetic field sensor and device
Magnet Physik are used for this purpose and obtained results are presented and discussed.
2. Experimental material
The austenitic stainless steels are the ternary alloys of Fe-Cr-Ni. Their microstructures consist of very clean FCC
(Face Centered Cubic) crystals in which all the alloying elements are held in a solid solution. Those steels are called
austenitic because of their final structure. They are austenitic at the room temperature. The austenitic stainless steels
are widely applied in chemical, petrochemical, biomedical and many other fields. The most widely used austenitic
stainless steels are the following grades: AISI 304, 316L and 316Ti. Those materials belong among the types of the
so-called high-alloy TRIP (Transformation Induced Plasticity) steels. These types of steels contain substantial
number of alloying elements such as Cr and Ni, which improve pitting and corrosion resistance (Rodríguez-
Martínez et al., 2011). The most common of selected steels is the AISI 304 - this steel contains essentially 18% of
Cr and 8% of Ni. Content of C is limited to maximum of 0.08%. This material is paramagnetic and it has a cubic
closed γ-phase. After the plastic deformation, the phase is transformed to a BCC (Body-Centered Cubic) α'-
martensite phase. Thus, this material becomes partially ferromagnetic after the plastic deformation. Many reports
refer that the magnetic effects of martensite content in AISI 304 is caused by the progressive cold rolling (Tourki et
al., 2005; Tukur et al., 2014; Vertesy et al., 2005). The AISI 304 has the following selected properties: a high
ductility, excellent drawing, forming, and spinning. A low carbon content means less carbide precipitation in the
heat-affected zone during the welding and a lower susceptibility to intergranular corrosion. It also resists to most
oxidizing acids and salt spray. Those properties make the AISI 304 widely used stainless steel.
Both the AISI 316L and AISI 316Ti include higher percentage of alloying elements. Different chemical
composition is reason why these steels change their primary deformation mechanism from twining (in 304 grades)
to slipping: typical for 316 grades (Correa et al., 2017). Differences in the microstructure after the heat treatment
were observed by an optical microscope. In microstructure of the AISI 304 in initial state, there were visible
austenitic grains with different size. The annealing twins were also present and a relatively large amount of MnS
based inclusions. A representative sample of the evaluated microstructures, the AISI 304 steel, additionally contains
a significant proportion of α'-martensite (Fig.1a). Solution annealing (1050 ° C / 35 min) resulted in the structural
homogenization of the materials and the effect of the prior technological treatment was eliminated. Rapid cooling in
the water prevented phase and interstitial excretion inside the matrix and also along the grain boundaries. In the
examined microstructures there was a significant reduction of plastic deformation, with simultaneous dissolving the
bulk of sulphides, oxides and other compounds. The grains boundaries are affected by heat treatment. In the AISI
304 microstructure, significant annealing twins are visible (Fig.1b).
Tatiana Oršulová et al. / Procedia Structural Integrity 13 (2018) 1689–1694 1691
Author name / Structural Integrity Procedia 00 (2018) 000–000 3
a)
b)
Fig. 1 Microstructures of the AISI 304 a) initial state; b) after solution annealing
Fig. 2 Vickers hardness test of investigated materials
For verification of these structural changes in the tested material, a hardness test after Vickers was used (Fig. 2).
During the heat treatment the values of hardness decreased. After the recrystallization annealing of deformation
reinforced steel, a gradual decrease in hardness occurred. Decrease of hardness was related to a gradual change of α'-
martensite to austenite. The structure was gradually changed to the equilibrium by the heating process. In the
recrystallization annealing with a 15-minute time-out, there was a slight increase in the hardness value. This may be
caused by refining of the austenitic grain. For longer durations at T = 850°C, the hardness value again decreased. In this
case, it may have occurred that longer holding time caused an increase and thickening of the austenitic grain. At the
dissolution annealing temperature, the lowest hardness values were reached. A homogenization of structure has been
achieved by the rapid cooling in water, thus there were no carbides, oxides and other inclusions produced. These
structure elements would affect the resulting austenitic structure of the steel, if they were present. A similar case was
also found in work of Tukur et al., 2014, where the influence of temperature on mechanical properties, such as
hardness, strength and ductility, was evaluated. Sensitized sample of AISI 304 grade has the highest hardness value (41
HRC) compared to the sample at baseline (36 HRC) and after the annealing (20.4 HRC). Increased hardness was
attributed to carbide formation along the grain boundaries of the sensitized specimen. The excluded carbides impeded
the dislocation movement and reduced the deficiencies within the grit of the sensitized steel (Tukur et al., 2014).
3. Experimental procedure
Configuration for realization of the experiments is introduced in this section. The given experimental material is
the conductive stainless steel specimens that are nondestructively inspected. Three different austenitic steel grades
were evaluated: AISI 304, 316L and 316Ti grade. The specimens had initially the brick shape, with initial
1692 Tatiana Oršulová et al. / Procedia Structural Integrity 13 (2018) 1689–1694
4 Tatiana Oršulová et al./ Structural Integrity Procedia 00 (2018) 000–000
dimensions: 20 mm x 10 mm x 10 mm. The all specimens were previously annealed at the defined temperature for
solution annealing (1050°C/35min.). This regime was defined as the initial state (IS).
Further, the controlled plastic deformation was applied. The deformation was performed by mechanical pressing
of the opposite sides of these samples. Exact values of the plastic deformations were inspected: T1 = 0%, T2 = 1%,
T3 = 2%, T4 = 5%, T5 = 10%, T6 = 20%, T7 = 30% and T8 = 40%. This value represents the percentage shortening
of the length of the specimen after the plastic deformation, in comparison with the reference sample.
The commercially available sensor of GF708AKA (Sensitec GmbH) was used in first measuring of the magnetic
field. This magnetic field sensor is based on the Giant-Magneto-Resistive (GMR) effect. Its functional magnetic
layer is pinned within a synthetic spin-valve connected as a Wheatstone bridge. With its on-chip flux concentrators
an extremely large sensitivity can be achieved, resulting in an almost step-like bipolar transfer curve. This way the
sensor is predestined for the key application field: as a highly sensitive magnetic field sensor. Due to the spin valve
technology the transfer curve within ±1 mT features an extremely high sensitivity of 130 mV/V/mT with very low
coercitivity at the same time. The GMR sensor was positioned in each axis of the 3D coordinate system with respect
to the investigated material, respectively. It means that its sensitive axis was oriented in that way to be able to sense
all the individual components of the residual magnetic field. Thus, the magnetic field values were picked-up, to be
the resulting graphs displayed. Measured magnetic field component in a given direction was represented as an
output voltage signal of the sensor. This value was picked up from the diagonal of the Wheatstone’s bridge (Mach,
2012; Smetana, 2016; Stubendekova, 2015).
The lift-off parameter was set to LO = 1mm. This value was kept at a constant level for all the specimens. A
classical 2D raster scan was performed for all the surfaces of each specimen. Only the maximum value of the
residual magnetic field was taken into account to be the graphical dependences visualized. The rectangular area
shape of the 2D scan was defined as follows: number of scanning lines N = 120, step distance of S = 0.1 mm,
scanned length per line of SP = 40 mm. The measured data were acquired using the data acquisition card (DAQ)
with resolution of res = 16bits/channel, sampling frequency of fs = 10kS/sec. The user interface for data
manipulation, controlling the stage and processing the data was designed using the LabVIEW software (virtual
instrumentation).
The second part of experimental measurements was realized on device Magnet Physik, which is used for measuring
of hysteresis loops. On this device, it is possible to determine magnetic quantities (remanence, coercivity), make
measurements with surrounding coils to determine the magnetic mean values and measure at temperatures up to 200
°C. The measurement was performed under normal conditions at room temperature. The temperature of specimens was
21 °C. The magnetic excitation fields that are necessary to record a hysteresis loop were generated by the
electromagnet EP 3. The maximum current of the electromagnets power supply was set to ±10 A and time of
increasing of current to maximum to 40 s. During all the measurements the demagnetization was on.
4. Results
Results of the experimental measurements are presented in this section. After each 2D raster scan of the whole
biomaterial shell, the maximum of the gained values was extracted. This procedure was performed three times
(individually for X, Y, Z axis). These values were used for construction of the following graphs. Further, the module
value was computed as SQRT of summed squares of the three spatial values. As can be seen from the results, with
increasing plastic deformation level, the output signal of the GMR sensor increased, as well. This means that the
higher the deformation, the higher the magnetic response of the specimen. Of course, the great differences between
individual materials were revealed: the strongest signals were gained for the AISI 304 biomaterial. This is in
correlation with theoretical background (the highest amount of the ferromagnetic martensitic components was
present here). Further, the responses valid for the AISI 316L and AISI 316Ti showed that the residual magnetic field
was rapidly decreasing than for the previous one. Although, the AISI 316L material has better resolution among the
individual field components, in comparison to the AISI 316Ti. Practically, it has to be concluded that deformation
levels lower than 5% were not successfully detected by the sensor. On the other hand, change in magnetic
biomaterial properties (caused by the mechanical deformation) was clearly revealed. The scanning procedure
performed in all the three axis of the 3D coordinate system, showed that it is sufficient to sense only one component.
Resulting value is approximately the same for each component. Fig. 3 displays the module value of the inspected
Tatiana Oršulová et al. / Procedia Structural Integrity 13 (2018) 1689–1694 1693
Author name / Structural Integrity Procedia 00 (2018) 000–000 5
materials in one graph. This comparison showed non-linear dependences between applied plastic deformation and
the intrinsic magnetic field response. In fact, this is also in correlation with theory, which describes this phenomenon
from the material engineering point of view. Based on the results, it can be concluded that the most suitable material
for nondestructive evaluation purposes is AISI 304. Generally, all of the inspected materials can be evaluated, but
with respect to the sensitivity of the sensor and the deformation level.
a) b)
Fig. 4 Results from device Magnet Physik: a) comparison of magnetic properties of investigated steels in initial state; b) magnetic properties of
the AISI 304 after different degrees of deformation
Measurements realized on device Magnet Physic have demonstrated that from three chosen materials, only one
has got significant magnetic behavior - the AISI 304. It is caused by the presence of plastic deformation after
previous forming in evaluated material. This measurement failure was also caused by the low sensitivity of the
measuring device; it is possible to measure only specimens with stronger magnetism. On the other hand, this device
was able to record the results from slightly magnetic steel AISI 304. Fig. 4b) shows significant increase of
magnetism after the plastic deformation.
5. Conclusion
This article presented a study of electromagnetic nondestructive evaluation of austenitic stainless steels after
previous plastic deformation. Three different steel grades were evaluated with presence of the seven specific levels
of the plastic deformation. The commercially available 1D GMR sensor was used in the first step of research. Each
of the 3D coordinate systems components was sensed, so the sensor was rotated three times for the scanning
Fig. 3 Experimental results: residual magnetic field - maximum module gained values
1694 Tatiana Oršulová et al. / Procedia Structural Integrity 13 (2018) 1689–1694
6 Tatiana Oršulová et al./ Structural Integrity Procedia 00 (2018) 000–000
procedure of each sample. The results showed that significant dependence between applied plastic deformation and
magnetic field response could be detected by the sensor. The main aim of this study was to show a detection ability
of used the sensor to bring appropriate results about various level of mechanical deformation of the samples. The
results showed that this information could be presented, although the plastic deformation levels lower than 5% could
not be successfully detected. Further, the 3D scanning procedure brought new information about the magnetic
behavior of the inspected specimens. This approach is quite new and may be helpful in better characterization and
understanding of the austenitic stainless steels. As could be seen, the mechanical and electromagnetic properties of
the same material vary together and it is a question of the appropriate sensing element to reveal their certain mutual
dependences nondestructively. The second step of research was a confirmation of presence of plastic deformation in
selected materials via device Magnet Physik. Mentioned measurement device was able to record only results for one
material - the AISI 304. Despite the measurement failure of the AISI 316 grades it can be said, that the research goal
was accomplished. A presence of different grades of plastic deformation in AISI 304 was confirmed.
The future steps of the authors will lead to quantitative characterization of the partially ferromagnetic martensite
components within the deformed austenitic stainless steel that may results in the so-called magnetic memory.
Acknowledgements
The research was supported by Scientific Grant Agency of Ministry of Education of Slovak republic VEGA
1/0683/15 and Visegrad Scholarship Programme.
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