Abstract
This work aims to estimate the residual stress relaxation during cyclic loading and the fatigue strength for the case of the 42CrMo4 nitrided steel. An original numerical methodology with Abaqus software has been established to determine the residual stress redistribution under fatigue loading. An important reduction of the residual stress is observed after the first cycles (45 to 60%) caused by the plastic deformation resulting from the superposition of residual stress and applied stresses. An experimental investigation was conducted by caring out 3-points bending fatigue tests on nitrided steel samples. The 42CrMo4 steel behaviour was described using the Chaboche model coupling isotropic and nonlinear kinematic hardening where the coefficients are identified experimentally. Residual stresses profiles measured by XRD methods where used to validate the proposed numerical methodology. It has been established that considering of the stabilised residual stress enhances the predictive ability of the polycyclic fatigue criteria.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Terres, M.A., Bechouel, R., Ben Mohamed, S.: Low cycle fatigue behaviour of nitrided layer of 42CrMo4 steel. Int. J. Mater. Sci. Appl. 6(1), 18 (2017). https://doi.org/10.11648/j.ijmsa.20170601.13
Ben Moussa, N., Al-Adel, Z., Sidhom, H., Braham, C.: Numerical assessment of residual stress induced by machining of aluminum alloy. Adv. Mater. Res. 996, 628–633 (2014a). http://doi.org/10.4028/www.scientific.net/AMR.996.628
Ben Moussa, N., Sidhom, N., Sidhom, H., Braham, C.: Prediction of cyclic residual stress relaxation by modeling approach. Adv. Mater. Res. 996, 743–748 (2014b). http://doi.org/10.4028/www.scientific.net/AMR.996.743
Bernasconi, A., Papadopoulos, I.V.: Efficiency of algorithms for shear stress amplitude calculation in critical plane class fatigue criteria. Comput. Mater. Sci. 34(4), 355–368 (2005). https://doi.org/10.1016/j.commatsci.2005.01.005
Chaouch, D., Guessasma, S., Sadok, A.: Finite element simulation coupled to optimisation stochastic process to assess the effect of heat treatment on the mechanical properties of 42CrMo4 steel. Mater. Des. 34, 679–684 (2012). https://doi.org/10.1016/j.matdes.2011.05.026
Depouhon, P., Sprauel, J.M., Mailhé, M., Mermoz, E.: Mathematical modeling of residual stresses and distortions induced by gas nitriding of 32CrMoV13 steel. Comput. Mater. Sci. 82, 178–190 (2014). https://doi.org/10.1016/j.commatsci.2013.09.043
Laamouri, A., Sidhom, H., Braham, C.: Evaluation of residual stress relaxation and its effect on fatigue strength of AISI 316L stainless steel ground surfaces: Experimental and numerical approaches. Int. J. Fatigue 48, 109–121 (2013). https://doi.org/10.1016/j.ijfatigue.2012.10.008
Sidhom, H., Ben Moussa, N., Ben Fathallah, B., Sidhom, N., Braham, C.: Effect of surface properties on the fatigue life of manufactured parts: experimental analysis and multi-axial criteria. Adv. Mater. Res. 996, 715–721 (2014a). http://doi.org/10.4028/www.scientific.net/AMR.996.715
Sidhom, N., Laamouri, A., Fathallah, R., Braham, C., Lieurade, H.: Fatigue strength improvement of 5083 H11 Al-alloy T-welded joints by shot peening: experimental characterization and predictive approach. Int. J. Fatigue 27(7), 729–745 (2005). https://doi.org/10.1016/j.ijfatigue.2005.02.001
Sidhom, N., Ben Moussa, N., Janeb, S., Braham, C., Sidhom, H.: Potential fatigue strength improvement of AA 5083-H111 notched parts by wire brush hammering: experimental analysis and numerical simulation. Mater. Des. 64, 503–519 (2014b). http://doi.org/10.1016/j.matdes.2014.08.002
Terres, M.A., Laalai, N., Sidhom, H.: Effect of nitriding and shot-peening on the fatigue behavior of 42CrMo4 steel: experimental analysis and predictive approach. Mater. Des. 35, 741–748 (2012). https://doi.org/10.1016/j.matdes.2011.09.055
Terres, M.A., Mohamed, S.B., Sidhom, H.: Influence of ion nitriding on fatigue strength of low-alloy (42CrMo4) steel: experimental characterization and predictive approach. Int. J. Fatigue 32(11), 1795–1804 (2010). https://doi.org/10.1016/j.ijfatigue.2010.04.004
Terres, M.A., Sidhom, H.: Fatigue life evaluation of 42CrMo4 nitrided steel by local approach: equivalent strain-life-time. Mater. Des. 33, 444–450 (2012). https://doi.org/10.1016/j.matdes.2011.04.047
Terres, M.A., Sidhom, H., Ben Cheikh Larbi, A., Ouali, S., Lieurade, H.P.: Influence de la résistance à la fissuration de la couche de combinaison sur la tenue en fatigue des composants nitrurés. Matériaux Techniques 89(9–10), 23–36 (2001)
Wang, Y.: Evaluation and comparison of several multiaxial fatigue criteria. Int. J. Fatigue 26(1), 17–25 (2004). https://doi.org/10.1016/s0142-1123(03)00110-5
Xie, X-f., Jiang, W., Luo, Y., Xu, S., Gong, J.-M., Tu, S.-T.: A model to predict the relaxation of weld residual stress by cyclic load: experimental and finite element modeling. Int. J. Fatigue 95, 293–301 (2017). https://doi.org/10.1016/j.ijfatigue.2016.11.011
Yahyaoui, H., Ben Moussa, N., Braham, C., Ben Fredj, N., Sidhom, H.: Role of machining defects and residual stress on the AISI 304 fatigue crack nucleation. Fatigue Fract. Eng. Mater. Struct. 38(4), 420–433 (2015). https://doi.org/10.1111/ffe.12243
Zaroog, O.S., Ali, A., Sahari, B.B., Zahari, R.: Modeling of residual stress relaxation of fatigue in 2024-T351 aluminium alloy. Int. J. Fatigue 33(2), 279–285 (2011). https://doi.org/10.1016/j.ijfatigue.2010.08.012
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Bechouel, R., Ben Moussa, N., Terres, M.A. (2019). Improvement of the Predictive Ability of Polycyclic Fatigue Criteria for 42CrMo4 Nitrided Steels. In: Benamara, A., Haddar, M., Tarek, B., Salah, M., Fakher, C. (eds) Advances in Mechanical Engineering and Mechanics. CoTuMe 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-19781-0_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-19781-0_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19780-3
Online ISBN: 978-3-030-19781-0
eBook Packages: EngineeringEngineering (R0)