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Effect of Laser Shock Peening on Fatigue Life at Stress Raiser Regions of a High-Speed Micro Gas Turbine Shaft: A Simulation Based Study

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Abstract:

Fatigue failure due to stress raiser regions on critical rotating components in gas turbine engines, such as the shaft, is a crucial aspect. Methods to reduce these stresses and improve fatigue life are a source of ongoing research. Laser shock peening is a method where compressive residual stresses are imparted on the stress raisers of such components. However, numerical based studies on multiple laser shock peening applied to stress raisers is under-researched. Hence, this study will attempt to predict the fatigue life at fillet radii step induced stress raiser regions on a high-speed gas turbine engine shaft by utilization of laser shock peening. The objective of this study was achieved by developing a more computational efficient finite element model to mimic the laser shock peening process on the fillet radii step induced stress raiser regions of a shaft. A modified laser shock peening simulation method for effective prediction of the residual stress field was introduced. Furthermore, the fatigue life improvement due to laser shock peening was predicted by employing Fe-safe fatigue software. From the results, the modified laser shock peening simulation method provided accurate prediction of the residual stress field with a reduced computational time of over 68% compared to conventional methods. The fatigue life revealed an improvement of 553% due to laser shock peening, which is comparable to similar findings in the literature. Hence, from the findings and results achieved, the developed finite element model can be an appropriate tool to assist in the fatigue life estimation of laser shock peening applied to stress raisers.

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International Journal of Engineering Research in Africa Vol. 45 View Preview

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Periodical:

International Journal of Engineering Research in Africa (Volume 45)

Pages:

15-27

DOI:

https://doi.org/10.4028/www.scientific.net/JERA.45.15

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Online since:

November 2019

Authors:

Jan G. Pretorius*, Dawood A. Desai, Glen C. Snedden

Keywords:

Fatigue, Fe-Safe Software, Finite Element Model, Laser Shock Peening, Stress Raiser Regions

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© 2019 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] S.K. Bhaumik, R. Rangaraju, M.A. Parameswara, M.A. Venkataswamy, T.A. Bhaskaran and R.V. Krishnan, Fatigue failure of a hollow power transmission shaft. Engineering failure analysis, 2002. 9(4): pp.457-467.

DOI: 10.1016/s1350-6307(01)00033-4

Google Scholar

[2] R. Li, T.H. Hyde, W. Sun and E.J. Williams, Fatigue crack growth testing of the Super CMV hollow shafts under combined torsional and axial loading. Engineering Failure Analysis, 2014. 36: pp.173-185.

DOI: 10.1016/j.engfailanal.2013.09.021

Google Scholar

[3] I. Altenberger, Alternative mechanical surface treatments: microstructures, residual stresses & fatigue behavior. Shot Peening, 2006: pp.419-434.

DOI: 10.1002/3527606580.ch54

Google Scholar

[4] C. Dane, L. Hackel, J. Daly and J. Harrisson, High power laser for peening of metals enabling production technology. Materials and Manufacturing Processes, 2000. 15(1): pp.81-96.

DOI: 10.1080/10426910008912974

Google Scholar

[5] A. Gill, A. Telang, S. Mannava, D. Qian, Y.-S. Pyoun, H. Soyama and V.K. Vasudevan, Comparison of mechanisms of advanced mechanical surface treatments in nickel-based superalloy. Materials Science and Engineering: A, 2013. 576: pp.346-355.

DOI: 10.1016/j.msea.2013.04.021

Google Scholar

[6] C. Correa, L.R. de Lara, M. Díaz, A. Gil-Santos, J. Porro and J. Ocaña, Effect of advancing direction on fatigue life of 316L stainless steel specimens treated by double-sided laser shock peening. International Journal of Fatigue, 2015. 79: pp.1-9.

DOI: 10.1016/j.ijfatigue.2015.04.018

Google Scholar

[7] C.A.V. Jiménez, G.G. Rosas, C.R. González, V.G. Alejo and S. Hereñú, Effect of laser shock processing on fatigue life of 2205 duplex stainless steel notched specimens. Optics & Laser Technology, 2017. 97(Supplement C): pp.308-315.

DOI: 10.1016/j.optlastec.2017.07.020

Google Scholar

[8] C. Correa, L.R. de Lara, M. Díaz, J. Porro, A. García-Beltrán and J. Ocaña, Influence of pulse sequence and edge material effect on fatigue life of Al2024-T351 specimens treated by laser shock processing. International Journal of Fatigue, 2014. 70: pp.196-204.

DOI: 10.1016/j.ijfatigue.2014.09.015

Google Scholar

[9] K. Ding and L. Ye, Laser shock peening: performance and process simulation. 2006: Woodhead Publishing.

Google Scholar

[10] H. Amarchinta, R. Grandhi, K. Langer and D. Stargel, Material model validation for laser shock peening process simulation. Modelling and simulation in materials science and engineering, 2008. 17(1).

DOI: 10.1088/0965-0393/17/1/015010

Google Scholar

[11] G. Singh, Effective Simulation and Optimization of a Laser Peening Process. 2009, Wright State University.

Google Scholar

[12] R. Sun, L. Li, Y. Zhu, L. Zhang, W. Guo, P. Peng, B. Li, C. Guo, L. Liu and Z. Che, Dynamic response and residual stress fields of Ti6Al4V alloy under shock wave induced by laser shock peening. Modelling and Simulation in Materials Science and Engineering, 2017. 25(6).

DOI: 10.1088/1361-651x/aa7a46

Google Scholar

[13] P. Peyre, I. Chaieb and C. Braham, FEM calculation of residual stresses induced by laser shock processing in stainless steels. Modelling and simulation in materials science and engineering, 2007. 15(3): p.205.

DOI: 10.1088/0965-0393/15/3/002

Google Scholar

[14] R.A. Brockman, W.R. Braisted, S.E. Olson, R.D. Tenaglia, A.H. Clauer, K. Langer and M.J. Shepard, Prediction and characterization of residual stresses from laser shock peening. International Journal of Fatigue, 2012. 36(1): pp.96-108.

DOI: 10.1016/j.ijfatigue.2011.08.011

Google Scholar

[15] SIMULIA, Continuum Elements. In Guide, A.a.U.S. (Ed.) 6.20. 2017. Online.

Google Scholar

[16] P. Peyre, L. Berthe, V. Vignal, I. Popa and T. Baudin, Analysis of laser shock waves and resulting surface deformations in an Al–Cu–Li aluminum alloy. Journal Of Physics D: Applied Physics, 2012. 45(33): p.335304.

DOI: 10.1088/0022-3727/45/33/335304

Google Scholar

[17] G. Singh, Effective Simulation and Optimization of a Laser Peening Process. 2009, Wright State University.

Google Scholar

[18] C. Correa, D. Peral, J. Porro, M. Díaz, L.R. de Lara, A. García-Beltrán and J. Ocaña, Random-type scanning patterns in laser shock peening without absorbing coating in 2024-T351 Al alloy: a solution to reduce residual stress anisotropy. Optics & Laser Technology, 2015. 73: pp.179-187.

DOI: 10.1016/j.optlastec.2015.04.027

Google Scholar

[19] S.G. Irizalp and N. Saklakoglu, 1.14 Laser Peening of Metallic Materials. Comprehensive Materials Finishing, 2016: p.408.

DOI: 10.1016/b978-0-12-803581-8.09160-8

Google Scholar

[20] G. Singh, R.V. Grandhi, W.S.U.D.O.D.o. MECHANICAL and M. ENGINEERING., Laser Peening for Reliable Fatigue Life. Delivery Order 0025: Volume 1 - Simulation and Optimization of a Laser Peening Process. 2009: Defense Technical Information Center.

DOI: 10.21236/ada550435

Google Scholar

[21] H. Amarchinta, Uncertainty Quantification Of Residual Stresses Induced By Laser Peening Simulation. 2010, Wright State University.

Google Scholar

[22] G. Singh, R.V. Grandhi and D.S. Stargel, Modeling and parameter design of a laser shock peening process. International Journal for Computational Methods in Engineering Science and Mechanics, 2011. 12(5): pp.233-253.

DOI: 10.1080/15502287.2010.542795

Google Scholar

[23] A. Vasu, K. Gobal and R.V. Grandhi, A computational methodology for determining the optimum re-peening schedule to increase the fatigue life of laser peened aircraft components. International Journal of Fatigue, 2015. 70: pp.395-405.

DOI: 10.1016/j.ijfatigue.2014.07.008

Google Scholar

[24] T. Nam, Finite Analysis of Residual Stress Field Induced by Laser Shock Peening, in Department of Mechanical Engineering. 2002, Ohio State University.

Google Scholar

[25] S. Kumar, R. Rao and B. Rajeevalochanam, Current Practices in Structural Analysis and Testing of Aero-Engine Main Shafts. Procedia Engineering, 2013. 55: pp.499-509.

DOI: 10.1016/j.proeng.2013.03.287

Google Scholar

[26] V. Granados-Alejo, C. Rubio-González, C. Vázquez-Jiménez, J. Banderas and G. Gómez-Rosas, Influence of specimen thickness on the fatigue behavior of notched steel plates subjected to laser shock peening. Optics & Laser Technology, 2017. 101: pp.531-544.

DOI: 10.1016/j.optlastec.2017.12.011

Google Scholar

[27] N. Hfaiedh, P. Peyre, H. Song, I. Popa, V. Ji and V. Vignal, Finite element analysis of laser shock peening of 2050-T8 aluminum alloy. International Journal of Fatigue, 2015. 70: pp.480-489.

DOI: 10.1016/j.ijfatigue.2014.05.015

Google Scholar

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