Towards a fundamental understanding of the effects of surface conditions on fatigue resistance for safety-critical AM applications

https://doi.org/10.1016/j.ijfatigue.2020.105585Get rights and content

Highlights

  • Cyclic behaviour in High Cycle Fatigue regime studied for 17-4PH steel produced by AM.

  • Two deformation modes identified from notches and surface roughness features.

  • Ratchetting seems to be predominant at high stresses whilst shakedown at low stresses.

  • Similar behaviour found in two other material types using the FE analysis.

Abstract

Fatigue behaviour in High Cycle Fatigue (HCF) regime has been studied in a 17–4 PH steel produced by an Additive Manufacturing (AM) technique, Selective Laser Melting (SLM). The research was prompted by increasing demands of AM techniques for safety-critical engineering applications. One of the main challenges in as-built AM parts is surface roughness, which gives rise to early crack initiation due to stress concentration leading to fatigue failure. This classical problem has been treated empirically in the past, using mainly stress-based approaches. In this work, we studied the cyclic behaviour of materials at the notch root of typical notch sizes in three material types using the finite element analysis with appropriate material models. Two distinct deformation modes are found: Shakedown or ratchetting, dependent on the applied load level. Selected critical surface locations in a specimen produced by SLM were also examined and the results are found to be consistent with those from the idealised notches. The results shed light on the fatigue damage mechanisms in HCF regime, which may be useful in AM material design and life management.

Introduction

There is strong evidence that surface conditions in as-built (AB) specimens have a considerable influence on the fatigue properties of Additive Manufactured (AM) materials [1], [2], [3], [4], [5]. AB specimens are known to exhibit dramatic reductions of some 40–50% of fatigue strength compared with those machined or polished [2], [3], [4], [5], [6]. The most detrimental effect is attributed to the surface roughness, which cannot be improved by machining post AM, as machining operation exposes large subsurface pores [1]. Although post AM processing methods such as HIP or heat treatment may relieve residual stress, improve microstructure or reduce pores in the bulk, such treatments have little impact on improving surface conditions. Surface roughness has now been recognised as one of the major limiting factors in the application of AM technology in fracture-critical components or structures [7], [8].

Conventional engineering treatments of the effects of surface roughness on high cycle fatigue (HCF) strength consider the surface as a series of micro-notches. A stress concentration factor, defined as Kt=σtσ0, where σtisthestressatthenotchrootandσ0 is the nominal stress, has been used for characterisation purposes. To overcome the difficulties in measuring the actual geometrical parameters needed to calculate the stress concentration factor for notches, Neuber [9] and Arola & Williams [10] proposed simplified analytical solutions to obtain stress concentration factors based on surface roughness parameters. These models assume a periodic and homogeneous surface typically from machining, but not applicable to surfaces produced by AM approaches, where more irregular surface profiles may be obtained associated with specific AM procedures. More recently, Ås et al [11] proposed a new method using automated FE simulation of surface geometries, obtained from white light interferometry, to predict fatigue life of a physical model; whilst Vayssette et al [12] utilised 3D topography measurements to estimate the HCF strength in AM parts. Although the advances in computed tomography have contributed to more realistic physical characterisation of surface conditions of AM parts, the essential approach to fatigue life estimation remains unchanged, i.e. stress parameters, or variants of a stress component, have been used as “fatigue indicators” [12] to describe fatigue lives in HCF regime.

Such approaches have been accepted for the purposes of fatigue life-time management, but they offer little insight into the mechanisms of fatigue damage, from which more physical models might be developed towards informing material design and life management. This has become highly desirable due to the advent of new AM routes which promise to produce net-to-shape parts, to have a greater control of materials properties through processing towards a unified design and analysis process. To achieve the full potential of AM technology for net-shape production of high quality parts, a fundamental understanding of the effects of surface conditions in AB specimens on fatigue properties must be developed, so that insights may be gained towards design and fatigue life management of AM components and structures for safety-critical applications.

The objectives of this study are: (i) To investigate the material behaviour of idealised notches under cyclic loading conditions; (ii) to identify the cyclic deformation mechanisms in the HCF regime; (iii) to examine the cyclic deformation behaviour in selected critical features from the surface profile measurements of AM specimens and (iv) to inform design strategies against fatigue damage in AM parts. Surface roughness measurements and HCF experiments as well as tensile testing were performed on 17-4 PH stainless steel specimens produced by selective laser melting (SLM) [13]. Selected idealised notch sizes and critical surface features were studied in the material under applied HCF loading conditions using the finite element approach, and the evolution of cyclic damage and the mode of deformation were monitored. In addition, FE simulations were also carried out on the same notch features in stainless steel 316L [14] and a nickel-based superalloy, RR1000 [15], using elastic-plastic and visco-plastic material models, respectively. These additional exercises aim at removing potential influence of particular material model types on the simulated material behaviour, so that more generic results may be obtained.

Section snippets

The FE models

The FE analyses were conducted using ABAQUS (6.14-1). Due to symmetry, only half of gauge section of the specimen (Fig. 1(a)) was modelled. The geometry of the basic FE model, together with the loading and the boundary conditions, is shown in Fig. 1(b), to which selected notch sizes of a semi-circular shape (Fig. 1(c)) were introduced. All nodes at bottom of the model were fixed in the vertical direction, and the node at the left lower corner was also fixed in the horizontal direction to

Experimental results

A typical 2D surface profile from the surface roughness measurement (2.2) is shown in Fig. 2(a), from which three critical points (A, B and C) were identified for the FE analysis. The engineering stress-strain curves were obtained from the monotonic tensile testing, from which an average material constitutive behaviour was assumed. Fig. 3(a) shows a typical engineering stress-strain curve, and simulated results from the tabulated experimental data (Table 1) of 17-4 PH stainless steel.

Fatigue

Discussion

Conventionally, when cyclic stress levels are relatively low such that fatigue failure occurs between 104 and 106 or more, High-cycle fatigue (HCF) regime is assumed. In this regime, material deformation is believed to be predominantly elastic, and fatigue life may be described by a Stress-Life, or S-N curve approach. As a recent review [8] illustrated, this is the default method for the evaluation of fatigue strength of AM materials when comparing with materials produced by conventional means.

Conclusions

Two distinct deformation modes are found in HCF regime: Shakedown and strain ratchetting. The former appears to occur at low stress levels; whilst the latter occurs at high stress levels. The trend appears to be independent of loading type (asymmetric vs symmetric) or material types.

Author Contributions

MCM performed the monotonic tensile testing and surface roughness measurements; CL conducted the fatigue experiment; GWZ carried out the FE analysis with the assistance of BL. JT conceived the idea and formulated the plans for the experiments and the FE simulations. The research was conducted at the University of Portsmouth.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

GWZ was supported by a Visiting Scholarship from China Scholarship Council (No. 201808420331).

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