Abstract
Laser Shock Peening (LSP) is a process by which the energy of a laser burst produces a plasma shock, transmitting mechanical forces into a substrate material. On metallic structures, LSP produces residual stresses in the substrate which can extend fatigue life and improve surface hardness (Eisensmith, Fatigue effects of laser shock peening minimally detectable partial-through thickness surface cracks. MS thesis, Air Force Institute of Technology, 2017). These resulting stresses are difficult to predict, however, as the LSP process is difficult to model. This difficulty stems from the relatively unknown temporospatial profile of the pressure impulse in relation to settings in the LSP process. A better correlation is desired between FEM predictions, and empirical residual stresses. Residual stress profiles on LSP treated workpieces have been determined by Neutron diffraction in prior work (Eisensmith, Fatigue effects of laser shock peening minimally detectable partial-through thickness surface cracks. MS thesis, Air Force Institute of Technology, 2017). Simulations using Johnson-Cook equations and Mie-Grüneisen equation of state (EOS) were run in Abaqus using an assumed pressure impulse. Initial results show qualitative agreement with empirical LSP results, but still have room for model optimization.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Abbreviations
- A, B, C, m, n:
-
Johnson-Cook Constants (Material Properties)
- c0:
-
Bulk Sound Speed (Material Property)
- Em:
-
Energy per Unit Mass
- P:
-
Pressure
- s:
-
Hugoniot Slope Coefficient (Material Property)
- T:
-
Temperature
- Tm:
-
Melting Temperature
- T0:
-
Reference Temperature
- Up:
-
Particle Velocity
- Us:
-
Shock Velocity
- Γ0:
-
Mie-Grüneisen Constant (Material Property)
- η:
-
Nominal Volumetric Compressive Strain
- ε:
-
Strain
- ε:
-
Strain Rate
- ε0:
-
Reference Strain Rate
- ρ:
-
Density
- ρ0:
-
Reference Density
- σy:
-
Flow Stress
References
Achintha, M., Nowell, D., Fufari, D., Sackett, E.E., Bache, M.R.: Fatigue behaviour of geometric features subjected to laser shock peening: experiments and modelling. Int. J. Fatigue. 62, 171–179 (2014)
Eisensmith, D.: Fatigue effects of laser shock peening minimally detectable partial-through thickness surface cracks. M.S. Thesis, Air Force Institute of Technology (2017)
Engebretsen, C., et al.: Finite element model correlation of laser shock peening. In: Conference Paper, 2018 AIAA SciTech Annual Conference, Jan 2018
Braisted, W., Brockman, R.: Finite element simulation of laser shock peening. Int. J. Fatigue. 21(7), 719–724 (1999)
Warren, A.W., Guo, Y.B., Chen, S.C.: Massive parallel laser shock peening: simulation, analysis, and validation. Int. J. Fatigue. 30(1), 188–197 (2008)
Dewald, A.T., Hill, M.R.: Eigenstrain-based model for prediction of laser peening residual stresses in arbitrary three-dimensional badies. Part 1: model description. J. Strain Anal. Eng. Des. 44, 1–11 (2009)
SAE International: Laser Peening. Aerospace Material Specification. SAE International. 2546 (2010)
Veitch, L., Laprade, E.: Recent developments in the joint strike fighter durability testing, Institute For Defense Analyses Research Notes, pp. 47–52 (2016)
DOT&E.: FY16 DOD PROGRAMS F-35 Joint Strike Fighter, OSD report, pp. 47–108 (2018)
Hfaiedh, N., Peyre, P., Song, H., Popa, I., Ji, V., Vignal, V.: Finite element analysis of laser shock peening of 2050-T8 aluminum alloy. Int. J. Fatigue. 70, 480–489 (2015)
Hasser, P.J., Malik, A.S., Langer, K., Spradlin, T.J., Hatamleh, M.I.: An efficient reliability-based simulation method for optimum laser peening treatment. J. Manuf. Sci. Eng. 138(11), 111001 (2016)
Brockman, R., Braisted, W., Spradlin, T., Langer, K., Olson, S., Fitzpatrick, M.E.: High strain-rate material model validation for laser peening simulation. J. Eng. (October), 1–8 (2015), http://doi.org/10.1049/joe.2015.0118
Li, P., et al.: Numerical simulation and experiments of titanium alloy engine blades based on laser shock processing. Aerosp. Sci. Technol. 40, 164–170 (2015)
Knapp, K., et al.: Comparison of finite element strain distribution to in situ strain field of a plastically-deformed plate. In: 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech Forum (2017)
Grązka, M., Janiszewski, J.: Identification of Johnson-Cook equation constants using finite element method. Eng. Trans. 60(3), 215–223 (2012)
Dassault-Systemes: Abaqus Documentation and User’s Manual, Dassault-Systemes (2010)
Singh, G., et al.: Modeling and optimization of a laser shock peening process. In: 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, pp. 5838–5850 (2008)
Meyers, M.: Dynamic Behavior of Materials. Wiley, New York (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 The Society for Experimental Mechanics, Inc.
About this paper
Cite this paper
Engebretsen, C.C., Palazotto, A., Langer, K. (2019). Strain Rate Dependent FEM of Laser Shock Induced Residual Stress. In: Arzoumanidis, A., Silberstein, M., Amirkhizi, A. (eds) Challenges in Mechanics of Time-Dependent Materials, Volume 2. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-95053-2_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-95053-2_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-95052-5
Online ISBN: 978-3-319-95053-2
eBook Packages: EngineeringEngineering (R0)