Fatigue Life Prediction of Austenitic Type 316L Stainless Steel Using ABAQUS
Transcript of Fatigue Life Prediction of Austenitic Type 316L Stainless Steel Using ABAQUS
Fatigue Life Prediction of Austenitic Type 316L Stainless Steel Using ABAQUS
Khairul Azhar Mohammad1, a, Mohd Sapuan Salit2, b, Edi Syams Zainudin1, 3, c, Nur Ismarubie Zahari1, d and Aidy Ali4, e
1Department of Mechanical and Manufacturing Engineering, Universiti Putra Malaysia, 43400 UPM, Serdang Selangor, Malaysia
2Institute of Tropical Forestry and Forest Products (INTROP), Putra Infoport, Universiti Putera Malaysia 43400 UPM Serdang Selangor
3School of Engineering & Design, Brunel University, Uxbridge Middlesex, UB8 3PH United Kingdom
4Department of Mechanical Engineering, National Defence University of Malaysia, Sungai Besi Camp, 57000 Kuala Lumpur, Malaysia
[email protected], [email protected], [email protected],
[email protected], [email protected]
Keywords: Fatigue Life; 316L Stainless Steel; Yield Strength; Fatigue Limit.
Abstract. This work has carried out on Type 316L stainless steel of hollow bar specimen. The aim
of this work is to determine the fatigue life prediction using Finite Element Analysis (FEA). The
simulation performed by applied the different stress level to predict the stress of operation to
measured life at the measured of operation stress. The simulation emphasis is focused upon the
importance of characterize the fatigue limit with compared to data experimental. Comparison of
fatigue limit between both simulation and experiment is 150 MPa and 161 MPa, respectively which
will provide good agreement in terms of accuracy prediction even various aspects should be taken
into account in simulation.
Introduction
In a leading-edge of global market nowadays, fatigue mechanism that experienced by engineering
components in daily life is one of the crucial problems and challenges in engineering field. Failure
in the structure can be induced by fatigue. The demand for higher operational capabilities and
efficiencies has lead to higher service temperatures as a way of life [1]. Thus, costly and time
consuming fatigue tests are often carried out to ensure safety of the design model. Examples of
structures such as pipelines, aerospace sector, industrial gas turbines, and pressure vessels and so on
which require such information to predict the durability [1]. Therefore, fatigue analysis has always
been a crucial and vital method for product development processes as all the allegation and
behavior of repeated loads, fluctuating loads and others will be stated clearly [2].
There are advantages of performing a simulation analysis instead of actually fabricate and testing
the design. Time saving and cost effective will be the most significant advantages of simulation as it
allows us to study the behavior of a system without fabricate the real model. Furthermore, it is a
time consuming and expensive project to design, build and test. Moreover, the experiment for
fatigue life of stainless steel 316L model is a destructive testing which requires destroying the
model after performing the experiment. Besides, more models are needed to be fabricated to
perform multiple experiments so as to get more accurate results. Simulations take the building and
rebuilding phase out of the loop by using the model already created in the design phase [3].
The simulation analysis is most carried out in any investigation and research with compared to
performing the multiple testing due to it is cheaper and faster to get the data result. The level of
detail from a simulation is another advantage of a fatigue life simulation analysis. According to
Nicholas et al.[3], simulation can provide results that not are not experimentally measurable with
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the current level of technology. Furthermore, the finite element method is a way of getting a
numerical solution to a specific problem as simulation can provide more accurate prediction results
compare to analytical model when problems is too small to measure, the probe is too big and is
skewing the results[4]. Furthermore, any instrument failure will cause the experimental results to
deviate from actual result. Besides, the simulation analysis can be set to run for as many time steps
and at any level of detail desired [2]. This paper was carried out to show the comparison on fatigue
life of simulation and experimental results on stainless steel at room temperature.
Methodology
Fatigue Simulation The fatigue simulation explained the analysis methodology that has been used
in the simulation to predict fatigue life of stainless steel. The simulation model is imported from
CATIA V5 file to undergo analysis as shown in Fig. 1. The part is created and the material
properties are inserted. A section is required to be created and a region is assigned as the section
created so that it possesses all the defined material properties. The assembly is created as ABAQUS
works by analyzing assemblies, which are collections of parts. A step needs to be created and the
procedure is set as dynamic implicit. The boundary condition is used to fix the either one’s end to
move in any direction. Then the load is created with defining the magnitude of load, load amplitude
and the load distribution is inserted. The Fig. 2 shows that the next part is carried out to mesh the
whole model with the appropriate global seeds. The global seeds are important so as to improve the
result accuracy. Lastly, the job is created and submitted for full analysis. Visualization results will
be shown when analysis is completed.
Figure 1: Computer Aided Design (CAD) design and its dimension in mm.
Figure 2: Meshed model.
Results and Discussion
Type 316L stainless steel is a ductile material in which it is able to yield strength under a
continuous load at normal temperature as shown in Fig. 3. In the simulation, the stress-strain data
was taken from node 1202 in the specimen which is a region of stress concentration. Abaqus
extracted the data of the strain against time and stress against time where to compare with
experimental data. Data of simulation and experimental analysis for yield strength are 70.2 MPa and
75.3 MPa which has a slightly difference around 5.1 MPa. According to Velay et al., there are
several aspects to explain the difference between the simulation and experimental results of a failure
460 Key Engineering Materials - Development and Application
to consider the distribution of bulk temperature in simulations where the temperature it increases the
creep in the specimen, incomplete formulation of the model simulations and the experimental error
in the measurement of pressure [5]. Figure 4 shows the result of final visualization under applied
fatigue test obtains from Abaqus.
Figure 3: Stress vs Strain.
Figure 4: Visualization result after analysis finished.
Figure 5: Comparison of fatigue life on stainless steel.
The stress life (S-N) plotted is shown in Fig. 5. With considering seven’s value of mean and
amplitude stresses which range of 160 MPa till 334 MPa used for applied in numerical analysis in
tension-tension fatigue mode by in order to get life time at variable amplitude loading. It is evident
that the fatigue limit of experimental data is higher than simulation results. The predicted result
from simulation was compared with the experimental data that was obtained in same parameters
and same dimension. The experimental data agreed well with simulation data. It was not possible to
compare the result at the same test condition due to the lack of experimental data because of limited
supply of test materials test machine as well as time consuming. Beden et al. reported that the
fatigue limit of the experimental results is slightly higher than simulation predicted that there can be
caused by micro-structural’s homogeneity in the material properties, surface differences, test
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1.E+03 1.E+04 1.E+05 1.E+06 1.E+07 1.E+08
Ma
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Number of cycle to Failure, Nf
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environment, and other factors [6]. Moreover, the big difference for fatigue limit is observed due to
the specimens have different grain size and shape of the specimen itself in terms of machining to
the cylinder or plate form [7,8].
Acknowledgement
This research was funded by the Higher Learning Ministry for financial support under the
ScienceFund MOSTI project (Project No.: 03-01-04-SF1788).
Conclusions
Type 316L stainless steel has been successfully carried out using the finite element analysis. With
comparing the simulation results are good trend similar with the experimental data with some aspect
did not take into account of simulation. The fatigue life in simulation is determined and validated by
experimental data. This indicates that the maximum stress in the simulation of stainless steel 316L
is slightly lower than experimental data. Therefore, comparison between simulation and
experimental results is shown a well agreement as both of results were plotted and compared in this
research.
References
[1] N.K. Sinha and P.Vasudevan: J. Nucl. Mater. Vol. 119 (1983), p. 240
[2] A. O. I. Mohd, in: Fatigue Life for Submarine Pipeline using Finite Element Analysis (FEA),
Thesis of Master of Manufacturing System Engineering, (2012), Universiti Putra Malaysia.
[3] T. J. R. Nicholas and J. R. Zuiker: Int. J. Fract Vol. 80(1996), p. 219
[4] K. U. Snowden, D. S Hughes,and P. A Stathers: Int. J. Fatigue Vol. 4 (1982), p. 217
[5] V. Velay, G. Bernhart and L. Penazzi: Int. J. Fatigue Vol. 38 (2009), p. 793
[6] S.M. Beden, S. Abdullah and A.K. Ariffin: Eur. J. Sci. Res. Vol. 38 (2009), p. 364
[7] D.W. Kim, J.H. Chang and W.S. Ryu: Int. J. Press. Vess. Pip. Vol. 85(6) (2008), p. 378
[8] W.Y. Maeng and Y.H. Kang: Creep-Fatigue and Fatigue Crack Growth Properties of 316LN
Stainless Steel at High Temperature, in Transactions of the 15th
International Conference on
Structural Mechanics in Reactor Technology (SMiRT-15), August 15-20, 1999, Seoul, Korea.
462 Key Engineering Materials - Development and Application
Key Engineering Materials - Development and Application 10.4028/www.scientific.net/AMR.911 Fatigue Life Prediction of Austenitic Type 316L Stainless Steel Using ABAQUS 10.4028/www.scientific.net/AMR.911.459
DOI References
[1] N.K. Sinha and P. Vasudevan: J. Nucl. Mater. Vol. 119 (1983), p.240.
http://dx.doi.org/10.1016/0022-3115(83)90200-3 [3] T. J. R. Nicholas and J. R. Zuiker: Int. J. Fract Vol. 80(1996), p.219.
http://dx.doi.org/10.1007/BF00012670 [4] K. U. Snowden, D. S Hughes, and P. A Stathers: Int. J. Fatigue Vol. 4 (1982), p.217.
http://dx.doi.org/10.1016/0142-1123(82)90004-4 [7] D.W. Kim, J.H. Chang and W.S. Ryu: Int. J. Press. Vess. Pip. Vol. 85(6) (2008), p.378.
http://dx.doi.org/10.1016/j.ijpvp.2007.11.013