Investigation of residual stress relaxation under cyclic load

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Abstract

Compressive residual stresses induced by mechanical surface treatment such as shot peening, autofretage, hole expansion, laser shock peening, and low-plasticity burnishing can be highly beneficial to fatigue resistance. Cyclic relaxation of compressive residual stress, however, reduces the benefit. An analytical model is proposed for estimation of residual stress relaxation. Parameters considered by the model include the magnitude and distribution of the residual stress, the degree of cold working required, the applied alternating and mean stresses, and the number of applied loading cycles. An elasto–plastic finite element model was used to demonstrate the model.

Introduction

Fatigue cracking normally initiates at the surface, and can be mitigated by inducing surface compressive residual stresses. The extent of mitigation depends strongly upon the residual stress magnitude and distribution. Any cyclic residual stress relaxation during component operation reduces the achievable benefits. Assessment of the effect of residual stresses and their relaxation on fatigue crack initiation and propagation then becomes an important aspect of component design and life management.

Residual stresses are those stresses existing along a cross-section of a component without applied external forces [1]. In surface treated components, the residual stresses are self-equilibrating and the profiles of the residual stress fields are dominantly dependent on the material and treatment method. Despite considerable research [2], there remains the technical challenge of understanding and accurately quantifying residual stress relaxation and redistribution under cyclic mechanical and thermal load. Mattson and Coleman [3] observed cyclic residual stress relaxation many years ago, Fig. 1. Despite partial relaxation of the compressive residual stress, they still found a beneficial effect on fatigue life. Their fatigue lives were underpredicted if residual stress relaxation wasn't taken into consideration. In practice, however, the difficulties in measuring residual stress relaxation during component operation normally impede the consideration of tracking this relaxation and assessing its effect on remaining fatigue life. Morrow and Sinclair [4] carried out some of the first research on prediction of residual stress relaxation based on mean stress relaxation observed in axial fatigue test. Following the same idea, Jhansale and Topper [5] proposed a logarithm linear relationship between mean stress relaxation against axial strain-controlled cycles. Both models ignored the stress ratio effect with respect to residual stress relaxation because the mean stresses in the axial tests were dictated by the initially applied mean strain which was held constant. Furthermore, neither model had to contend with self-equilibrating residual stress fields. In engineering, the residual stress fields are subject to a different stress ratio depending upon the location in the component. This is not the case in uniaxial mean stress testing. During component operation, the beneficial compressive residual stresses at the surface of the components are often imposed to a cyclic loading with positive mean stress. In this case, it has been found that the rate of residual stress relaxation can be drastic in the early stages of fatigue cycling. In extreme cases [6], residual stress can be relaxed entirely in the first few load cycles.

To clarify the mechanism of residual stress relaxation, Kodama [7] measured residual stress decrease on the surface of shot-peened specimens using X-ray diffraction techniques. The experimental data support the linear logarithmic decrease relationship between residual stress and load cycles only after the first cycle. Obviously, the relationship is not applicable to drastic initial residual stress reductions in the first few load cycles. From his test data (Fig. 2) it is important to note that the compressive residual stress in the first load cycle can be relaxed by more than 50%. It would not be rational to use a model that did not predict this significant relaxation in the first load cycle. Also in the model, the stress ratio effect was not exploded. This relationship was further followed up by Holzapfel et al. [8] to interpolate residual stress relaxation under thermal fatigue loading wherein both cyclic and thermally activated stress relaxation can occur.

The objectives of this study are to investigate the mechanism of residual stress relaxation and to develop an analytical model for its estimation under various applied loading parameters. The analytical stress–strain model uses the Bauschinger effect to account for initial cold work effects on residual stress relaxation. A finite element analysis (FEA) mesh with many very thin surface layers, each specified with different degrees of cold work, was developed to aid in the simulation of residual stress relaxation. The residual stress fields simulated were generated by shot peening (SP), laser shock peening (LSP) and low plasticity burnishing (LPB). The proposed analytical model is validated against the numerical FEA results. The results indicate that the analytical model is able to estimate residual stress relaxation for various applied loading parameters as well as for various surface treatments.

Section snippets

Surface treatment and residual stress fields

Several surface processing treatments are available for inducing residual stresses. Shot peening is by far the most common and the least costly treatment process. New processes such as laser shock peening and low plasticity burnishing are being developed due to their promising technical advantages. Typical residual stress and cold work distributions are shown in Fig. 3 for these three. Both distributions were measured by an automatic X-ray diffraction technique (Prevey et al. [9]). The

Mechanism of residual stress relaxation due to cyclic loading

Residual stresses at the surface of a component under service loading will undergo varying degrees of relaxation and hence redistribution. The relaxation due to cyclic loading is affected mainly by: (1) initial magnitude and gradient of the residual stress field and degree of cold working, (2) fatigue stress amplitude, mean stress ratio and number of cycles, and (3) material cyclic stress–strain response and degree of cyclic work hardening/softening.

In the previous section, it was indicated

Relaxation equations and parameters

To quantify cyclic residual stress relaxation, several empirical equations have been proposed based on experimental results. Morrow and Sinclair [4] conducted strain-controlled fatigue tests and obtained mean stress relaxation data. A relationship between mean stress and load cycle was proposed as followingσmNσm1=σy−σaσm1σaσyblogNwhere σmN is the mean stress at the Nth cycle, σm1 is the mean stress at the first cycle. σa is the alternating stress amplitude, σy is the material yield strength, b

Physics-based residual stress relaxation model

The models, , , , for the prediction of residual stress relaxation were mainly developed to interpolate/extrapolate experimental mean stress relaxation data. Better understanding of the mechanism of cyclic-dependent residual stress relaxation is needed to develop a physics-based relaxation model. Such a model incorporates the initial cold work effect as shown in Fig. 4. The proposed model must also take into account a local reversed flow strength function as depicted in Fig. 5. Here, the

Results and discussions

The modeling demonstration was conducted against three dominant relaxation parameters, load amplitude, load ratio and degree of initial cold work. Fig. 7 shows the effect of load amplitude on residual stress relaxation. It shows that the proposed relaxation model, , predicts residual stress relaxation in good agreement with that calculated by the finite element method.

With three different degrees of cold work in surfaces representative of SP, LSP and LPB, the proposed model was used to predict

Conclusions

A physics-based relaxation model was proposed based on the Bauschinger effect and a realistic back-stress based plasticity stress–strain relation. The model was verified using an advanced finite element model. The analytical model was used to predict the residual stress relaxation versus various cyclic loading conditions for different degree of surface cold working induced by SP, LSP and LPB technologies.

Comparison with the numerical simulation indicates that the analytical model is robust

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