Surface Condition Driven Fatigue Performance of Laser Powder Bed Fusion Manufactured Alloys

1. Introduction

Additive manufacturing (AM) has undergone rapid development over the past two decades, transitioning from rapid prototyping to a production-grade fabrication technology. Among the suite of metal AM processes, Laser Powder Bed Fusion (L-PBF) occupies a particularly prominent position due to its capacity to fabricate near-net-shape components with fine feature resolution, tailored porosity gradients, and complex internal geometries unachievable via conventional subtractive methods [1,2]. The aerospace and biomedical industries have been early adopters: L-PBF-produced titanium implants and nickel superalloy turbine brackets are now in commercial use [3,4].

However, widespread structural deployment of L-PBF components has been constrained by persistent concerns regarding fatigue reliability. Fatigue failure, the progressive, localized damage of a material under cyclic loading, accounts for the majority of in-service structural failures and is thus a critical design criterion [5,6]. Regulatory bodies mandate that fatigue-critical aerospace components maintain compressive residual stress at the surface to achieve required damage tolerance levels [7].

The inherent characteristics of the L-PBF process generate a surface condition that is markedly more detrimental to fatigue performance than that of traditionally processed metals. The layer-by-layer melting of metallic powder produces a rough, irregular surface covered with partially melted powder particles, step-terracing artefacts, and balling defects, all of which function as geometric stress risers [8,9]. Moreover, the steep thermal gradients and rapid solidification kinetics introduce significant tensile residual stresses at and near the surface, which promote crack opening and reduce fatigue crack propagation resistance [10,11].

The relationship between surface condition and fatigue in L-PBF alloys is multi-parametric and non-trivially coupled. Surface roughness, residual stress state, near-surface porosity distribution, microstructural texture, grain morphology at the surface, oxide layer chemistry, and surface integrity collectively determines the fatigue response. The relative weight of each factor varies substantially between alloy systems, build orientations, and loading modes, which complicates the formulation of universal guidelines [12].

An extensive body of experimental literature has accumulated over the past decade examining fatigue in L-PBF alloys, yet the field remains fragmented. Many studies isolate individual surface parameters without systematically controlling others, making mechanistic attribution difficult. Furthermore, the variety of post-processing surface treatments, including mechanical, chemical, thermal, and hybrid approaches, applied across different alloys and geometries has yielded a complex, often contradictory landscape of results [13,14]. The emergence of novel burnishing techniques, such as rotational burnishing, low plasticity burnishing, and electrical current-assisted burnishing, has introduced a new class of surface modification strategies capable of simultaneously reducing roughness, introducing deep compressive residual stress layers, and refining grain structure [15,16].

Figure 1 contrasts the gage section surface morphology of an as-built L-PBF specimen with that of a machined counterpart, illustrating the stark difference between the powder-encrusted, irregular as-built surface and the comparatively smooth machined surface at equivalent magnification [17].

Several comprehensive reviews have addressed fatigue in L-PBF alloys, most notably Zerbst et al. [18], who provided a foundational damage-mechanics-based treatment of defect sensitivity and crack propagation, and Afroz et al. [19], who systematically cataloged fatigue data across multiple alloy systems with emphasis on process-structure-property correlations. While these works have established essential frameworks, the present review distinguishes itself through three specific contributions. First, whereas previous reviews have treated post-processing surface treatments as a secondary consideration, we provide a dedicated, critical synthesis of emerging mechanical surface enhancement techniques that are rapidly gaining traction as post-process strategies capable of simultaneously tailoring roughness, residual stress, and microstructure. Second, an alloy-by-alloy synthesis (Section 6) that goes beyond aggregated trends to resolve alloy-specific mechanistic differences, particularly between α/β titanium alloys (Ti-6Al-4V), nickel-based superalloys (IN718, IN625), and aluminum-silicon alloys (AlSi10Mg) for which the relative importance of roughness versus porosity versus residual stress varies fundamentally is offered. Third, we explicitly integrate emerging burnishing and hybrid treatments into the modeling discussion (Section 8), highlighting where these techniques create new challenges and opportunities for predictive frameworks. By structuring the review around the interplay between as-built surface condition, alloy-specific fatigue mechanisms, and the evolving landscape of post-processing surface engineering, we aim to provide both a practical reference for researchers selecting surface treatments and a critical assessment of remaining knowledge gaps that distinguish this work from prior compilations.

This review aims to consolidate and critically synthesize the current state of knowledge on surface condition driven fatigue in L-PBF alloys. It is organized as follows: Section 2 describes the L-PBF process and the origins of surface features; Section 3 characterizes the surface condition of as-built L-PBF parts; Section 4 reviews fatigue testing methodologies; Section 5 examines the mechanistic roles of individual surface features; Section 6 provides an alloy-by-alloy review of experimental findings; Section 7 evaluates post-processing surface treatments; Section 8 discusses modeling and predictive approaches; Section 9 identifies research gaps; and Section 10 presents conclusions.

2. Laser Powder Bed Fusion: Process Overview and Surface Feature Origins

2.1. Process Fundamentals

In L-PBF, a high-power laser beam selectively scans a pre-spread layer of metal powder following a slice pattern generated from a CAD model [20]. The laser melts and fuses the powder particles during scanning. Rapid solidification occurs through heat conduction into the substrate and surrounding solid metal. The build platform then lowers by one layer thickness, a fresh powder layer is applied, and this cycle repeats until the component is complete [21].

Several critical process parameters influence final part quality, including laser power (P), scan speed (v), hatch spacing (h), layer thickness (t), and spot size (d). These parameters are often combined into a single metric known as the volumetric energy density (VED = P / (v × h × t)), which serves as a useful characterization metric. However, its utility is limited because it does not capture the spatial and temporal thermal history of the process [22]. Additionally, scan strategy plays a significant role in influencing both residual stress distribution and surface morphology [23].

2.2. Origins of Surface Roughness in L-PBF

The surface of as-built L-PBF components is inherently rough due to several interconnected reasons. On inclined and upward-facing (top) surfaces, the staircase effect (the stepped surface contour resulting from discrete layer increments) arises from the layer-by-layer construction: each layer leaves a stepped contour, creating periodic roughness along the build direction. The magnitude of this effect scales with both the layer thickness and the angle of the surface relative to the build platform [24]. The staircase magnitude becomes particularly pronounced for surfaces inclined at angles below 45° from the horizontal, known as upskin (upward-facing) and downskin (downward-facing) surfaces (See Figure 2). Downskin surfaces typically exhibit even greater roughness due to poor heat conduction into the loose powder below, whereas upskin surfaces benefit from better thermal dissipation into the solid part above [25,26].

Partially melted powder particles that adhere to printed parts generate another major source of roughness. During printing, particles that contact the melt pool boundary sinter onto the part’s surface without fully melting. Laser energy density and scan strategy govern particle adherence. Insufficient energy causes incomplete melting at scan boundaries, increasing the number of adherent particles [28]. These adherent particles act as sharp, notch-like features that elevate the stress concentration factor under cyclic loading [29].

Balling, the formation of isolated spherical droplets due to Rayleigh-Plateau instability in the melt pool under excessive scan speeds or insufficient laser power, leaves a highly irregular surface with large peak-to-valley heights. Additionally, spattering of ejected molten material during laser-powder interaction can deposit resolidified droplets onto adjacent surfaces, further increasing roughness and potentially introducing oxide-contaminated particles [30].

2.3. Residual Stress Generation

The residual stress state of L-PBF parts is a complex function of the thermal history and mechanical constraint. The dominant mechanism is the temperature gradient mechanism: the rapidly heated surface layer attempts to expand but is constrained by the cooler substrate, inducing compressive plastic strain. Upon cooling, the plastically deformed layer contracts but is again constrained, resulting in a net tensile residual stress in the as-built surface layer [31]. Successive layer deposition modifies the residual stress distribution, with final stress states that are tensile near the surface and compressive in the interior for many materials and scan strategies. For a wide range of alloys processed by laser powder bed fusion under standard parameters, neutron diffraction and synchrotron X-ray diffraction measurements consistently reveal tensile residual stresses of 200–800 MPa at the surface [32,33]. The scan strategy critically modulates residual stress: island scanning reduces peak stresses relative to continuous meander scanning by limiting the length scale over which thermal gradients accumulate [23].

2.4. Near-Surface Porosity

Porosity in L-PBF arises from three principal mechanisms: lack-of-fusion (LOF) defects from insufficient energy density producing incomplete melting between adjacent scan tracks or layers; keyhole porosity from excessive energy density causing deep vaporization of the melt pool and entrapment of inert gas upon collapse; and gas porosity from dissolved gas in the powder feedstock. LOF pores tend to be irregular, planar, and concentrated near the surface or at build boundaries, making them particularly potent fatigue crack initiators [34,35]. Near-surface pores with openings at the surface can act as pre-existing notches, while subsurface pores just below the as-built surface are often more damaging than interior pores because the local stress state at the surface amplifies crack tip driving forces [36,37].

3. Surface Characterization of As-Built L-PBF Parts

3.1. Profilometric Methods

Accurate surface characterization is a prerequisite for establishing quantitative process-structure-property relationships in fatigue. Contact profilometry using a stylus and non-contact optical methods such as confocal microscopy, focus variation microscopy, and white light interferometry are the primary measurement approaches. ISO 25178 [38] provides a standardized framework for areal surface texture parameters, extending the classical line-profile parameters to areal parameters that better capture the three-dimensional nature of L-PBF surfaces [39].

As generally observed in the literature, the arithmetical mean height of as-built L-PBF surfaces depends on material and process parameters [13,40,41]. This surface roughness parameter is denoted as R_a when measured along a line (profile) and as S_a when measured over an area (surface). However, simple surface roughness height parameters like the maximum valley depth are not sufficient to characterize fatigue performance. The maximum valley depth is denoted as R_v for a line profile and S_v for an area. Instead, the skewness and kurtosis of the surface height distribution are particularly relevant for fatigue [41]. A schematic illustration of these roughness and surface-height distribution parameters is provided in Figure 3. Skewness (R_sk for a line, S_sk for an area) measures the asymmetry of the surface height distribution, while kurtosis (R_ku for a line, S_ku for an area) measures the weight of the distribution’s tails [41].

Lee et al. studied the fatigue behavior of as-built and polished Ti-6Al-4V specimens and made two key observations. First, as-built surfaces typically show near-zero skewness and low kurtosis, meaning their height distribution is wide and roughly symmetric. Second, after post-process treatments such as polishing, surfaces exhibit negative skewness and high kurtosis. This indicates that the height distribution becomes asymmetric, with more extreme values concentrated in the valleys. These valley features are especially detrimental to fatigue resistance. Standard roughness parameters that rely on the mean height, such as maximum valley depth, can be misleading because mean-based values are influenced by average characteristics that do not necessarily control mechanical performance. To address this limitation in Ti-6Al-4V and potentially other alloys, Lee et al. proposed hybrid parameters that combine the maximum valley depth with three statistical measures: the distance between the mean and the mode, the kurtosis, and the skewness. These hybrid parameters correlate more strongly with fatigue life, regardless of whether the surface has been treated. For complex geometries where area-based measurements are impractical, line-based hybrid parameters measured along the loading direction serve as a valid substitute [41].

3.2. Residual Stress Measurement

X-ray diffraction using the sin²(psi) method is one of the most widely applied techniques for surface residual stress measurement in L-PBF alloys, offering a measurement depth of a few micrometers. Neutron diffraction and synchrotron X-ray diffraction provide volumetric stress maps and are indispensable for understanding the subsurface stress gradient [42]. More recently, focused ion beam ring-core milling combined with digital image correlation has been employed to characterize residual stresses at micron-scale resolution, enabling stress measurement within individual grains and at grain boundaries [43]. Full-width at half-maximum broadening of diffraction peaks provides a complementary indicator of lattice strain and micro-strain introduced by plastic deformation during surface treatment, with broader peaks indicating higher dislocation density and stored strain energy [14].

3.3. Surface Microstructure Characterization

Electron backscatter diffraction (EBSD) has become the standard tool for near-surface microstructural characterization in L-PBF alloys. In Ti-6Al-4V, EBSD maps reveal a fine, acicular martensitic ${\alpha }^{\text{'}}$ phase at the surface owing to rapid cooling, transitioning to a lamellar $\alpha +\beta$ microstructure in the interior [44]. In IN718, columnar $\gamma$ grains with a strong [001] texture in the build direction is characteristic, with the columnar grain boundary density at the surface influencing crack initiation propensity [45]. Transmission electron microscopy has identified elevated dislocation densities and sub-grain cell structures at and near the L-PBF surface that reflect the high plastic strain rate during solidification [39].

A particularly informative microstructural metric is the geometrically necessary dislocation (GND) density, extractable from EBSD data using kernel average misorientation analysis. GND density is sensitive to plastic strain gradients introduced by mechanical surface treatments, and elevated GND densities in the near-surface region, typically extending 100 to 500 µm below burnished or peened surfaces, correlate with increased resistance to fatigue crack nucleation by impeding dislocation slip [14]. Inverse pole figure mapping combined with pole figure analysis quantifies changes in crystallographic texture with depth, and the multiples of uniform density (MUD) value serves as a quantitative measure of texture intensity: high MUD corresponds to strong texture (columnar as-built grains) and low MUD to near-random texture (equiaxed or heavily deformed grains) [46].

3.4. Chemical State of the Surface

X-ray photoelectron spectroscopy (XPS) and Auger electron spectroscopy (AES) have revealed the formation of thin oxide layers (2 to 20 nm) on as-built L-PBF surfaces. In titanium alloys, TiO₂, Al₂O₃, and mixed TiAlO oxides are present; in nickel superalloys, NiO, Cr₂O₃, and spinels are identified [47]. These oxides can influence fatigue by promoting embrittlement at crack tips, reducing surface energy, and altering the electrochemical environment in corrosion-fatigue scenarios. The oxide composition and thickness depend sensitively on the inert gas atmosphere quality in the build chamber and powder storage conditions[48].

4. Fatigue Testing Methodologies for L-PBF Alloys

4.1. Specimen Geometry and Preparation

The choice of specimen geometry profoundly influences measured fatigue performance. Hourglass or dog-bone specimens as recommended by ASTM standards E466 and E606 [49,50] are most commonly employed, but the removal of the as-built surface (by machining the gauge section) effectively eliminates the primary fatigue-determining feature, yielding results unrepresentative of real components. Near-net-shape specimens, where the gauge surface retains the as-built condition, are essential for capturing the true structural fatigue behavior, yet introduce variability from build-to-build and within-build surface quality inconsistencies.

Specimen orientation relative to the build direction (horizontal, vertical, or inclined at 45°) is a critical experimental variable because it simultaneously influences grain texture, residual stress gradients, and surface morphology at the gage section. However, the effect of build orientation on fatigue life varies across alloy systems and processing conditions[44,51]. While many studies report superior fatigue resistance for horizontal specimens over vertical ones or vice versa, no trend is universal. For certain alloys or process parameters, vertical or horizontal specimens may exhibit comparable or even better performance due to differences in grain texture, residual stress, or whether cracks initiate at the surface versus internal defects. Therefore, orientation effects must be evaluated on a per-alloy and per-process basis rather than generalized across all additive manufacturing systems.

4.2. Loading Modes and Stress Ratios

Uniaxial tension-tension fatigue with a stress ratio of R = 0.1 and fully reversed tension-compression fatigue with R = -1 dominate the literature [52]. Rotating bending, either four-point or cantilever, is commonly used for high-cycle fatigue testing where fatigue lives exceed 10⁵ cycles. Strain-controlled low-cycle fatigue, typically below 10⁴ cycles, is less frequently reported for L-PBF alloys but remains critical for components that experience significant plastic strain per cycle. Mean stress effects, which are particularly important for AM components because residual stress acts as an effective mean stress superimposed on the applied loading, are described by the modified Goodman, Gerber, or Morrow equations [5].

4.3. S-N Curve Determination and Statistical Treatment

The fatigue scatter in L-PBF alloys is substantially larger than in wrought alloys due to the stochastic nature of defect distributions and surface irregularities. This necessitates larger test matrices to achieve statistically meaningful S-N curves. Methods such as the staircase or the up-and-down method [53,54], and maximum likelihood estimation [55] are used to determine the fatigue limit or endurance strength. ASTM E739 standard [56] provide guidance on statistical treatment of fatigue data, and several recent studies have applied Weibull statistics and extreme value theory to characterize the probability of fatigue failure as a function of defect population [57,58,59].

5. Mechanisms of Surface-Driven Fatigue Failure in L-PBF Alloys

5.1. Surface Roughness as a Stress Concentrator

The most direct mechanism by which surface condition degrades fatigue life is through stress concentration at geometric surface features. The effective stress concentration factor K_f, which accounts for the notch sensitivity of the material, is related to the theoretical K_t by the Peterson equation: K_f = 1 + q(K_t - 1), where q is the notch sensitivity index [60]. For L-PBF surfaces, K_t values are not readily calculable from classical notch geometry formulae because the surface features are irregular and multi-scale. Finite element modeling of actual surface profiles obtained from X-ray computed tomography has revealed significant local stress concentrations at the sharpest notches, particularly at the roots of partially melted particle contacts, where the stress intensity factor at critical valley features could be quantified[61].

The fatigue notch factor concept is complicated in L-PBF materials because the grain size near the surface is often in the same order of magnitude as the critical defect dimensions, reducing the applicability of classical continuum mechanics-based notch sensitivity models [62]. Short crack mechanics, considering the Kitagawa-Takahashi diagram framework, is more appropriate: below the critical crack length, the plain fatigue limit controls; above it, fracture mechanics governs [63,64].

5.2. Residual Stress Effects on Fatigue Crack Propagation

Tensile residual stress at the surface increases the effective mean stress at a crack tip, shifting the Haigh diagram into a less favorable region thereby reducing the fatigue limit. Quantitatively, if σ_r is the surface residual stress, the effective stress ratio becomes R_eff = (σ_min+ σ_r)/ (σ_max + σ_r), and the effective stress intensity range ΔK_eff = (K_max,eff - K_min,eff) is modified accordingly. For L-PBF alloys with tensile surface residual stresses, the effective stress ratio shift will reduce the fatigue limit relative to a stress-free surface [18].

Conversely, compressive residual stresses, achievable through post-processing such as shot peening, laser shock peening, or burnishing, retard fatigue crack initiation and early propagation by maintaining crack closure at low applied stress intensities. The crack remains partially closed during the loading cycle, reducing ΔK_eff below the threshold ΔK_th,eff, thereby extending fatigue life. The depth of the compressive layer and its magnitude are critical. For L-PBF alloys, peening processes can induce substantial compressive residual stresses. Various peening methods have been shown to generate high-magnitude compressive stresses, with the compressive influence extending to measurable depths beneath the surface.

Shot peening of Ti–6Al–4V produces maximum compressive residual stresses ranging from −870 to −1000 MPa at approximately 40 μm below the surface, with affected depths of 280–770 μm depending on peening intensity[65] . Laser shock peening (LSP) induces compressive stresses up to −273 MPa in aluminum alloys with work-hardened layers extending to ∼1500 μm depth, while for IN718 surface stresses of -215 to –308 MPa are reported[66]. Ultrasonic impact treatment achieves compressive stress layers of approximately 2.5 mm depth, which can be further deepened by ∼2 mm when accounting for acoustic softening effects[67]. Water jet peening generates maximum compressive stresses of 170–342 MPa in aluminum alloys at depths of ∼117 μm, while in Inconel 718 stresses up to 1042.7 MPa have been achieved with total compressive depths of ∼40 μm[68]. Comparative studies on 316L stainless steel indicate that while shot peening produces the highest near-surface stresses, laser and cavitation peening extend compressive stresses to greater depths[69].

5.3. Near-Surface Porosity as Crack Initiation Sites

Internal defects are potent fatigue crack initiators in L-PBF alloys when they are located at or near the surface. The driving force for crack initiation at a pore of diameter 2a at the surface is characterized by the stress intensity factor K_pore proportional to Δσ √ (ℼ x a), which scales with the square root of the pore size. Surface-breaking pores are particularly severe because they additionally function as notches and provide a direct path for environmental exposure[70]. High-resolution X-ray computed tomography combined with fatigue fracture surface analysis has confirmed that surface and near-surface pores dominate crack initiation in as-built L-PBF specimens even when internal pore populations are present [71]. Burnishing operations that close surface-connected pores through plastic deformation provide a secondary benefit beyond residual stress introduction: the volumetric porosity fraction in the near-surface zone can be reduced via multi-pass low-plasticity burnishing or electric-current-assisted burnishing treatments[16].

The morphology of pores also influences their potency as crack initiators. LOF pores, which are irregular and often planar, have higher effective stress intensity factor ranges than spherical gas pores of the same projected area because of their sharper geometry and preferential orientation normal to the loading axis [72]. Murakami’s $\sqrt{area}$ parameter, which approximates the pore projected area perpendicular to the principal stress direction, provides a useful metric for fatigue limit prediction in the presence of pores [73].

5.4. Microstructural Effects at the Surface

The near-surface microstructure of L-PBF alloys differs from the interior due to higher cooling rates and different thermal cycling histories. In Ti-6Al-4V, the surface layer frequently contains a higher fraction of fine martensitic $\alpha \text{'}$or a thin layer of coarser α grains resulting from solid-state recrystallization during repeated thermal cycling by subsequent layer depositions[74,75]. The fine $\alpha \text{'}$ phase has higher strength but lower ductility, making it prone to crack initiation via slip band localization [76]. In IN718, the columnar grain structure at the surface, with grain boundaries aligned parallel to the build direction, provides preferential crack paths along these boundaries, particularly under loading perpendicular to the build direction [77].

Dislocation substructures generated by cyclic plastic deformation during fatigue interact with the pre-existing dislocation networks from L-PBF processing[78]. The high initial dislocation density in L-PBF alloys can accelerate the formation of persistent slip bands, which are precursors to intrusion-extrusion surface damage and fatigue crack nucleation [78]. However, the fine grain size characteristic of L-PBF alloys also provides a higher grain boundary density that impedes dislocation motion, potentially partially offsetting the deleterious effect of high initial dislocation density [79,80]. Mechanical surface treatments that further increase low-angle grain boundary fraction and GND density near the surface can suppress persistent slip bands formation by increasing the critical resolved shear stress for slip activation [78,80].

5.5. Environmental and Oxidation Effects

The surface oxide layer present on as-built L-PBF components plays a dual role in fatigue. On one hand, a stable, adherent oxide (e.g., Al₂O₃ or Cr₂O₃) can provide a degree of environmental protection, reducing the oxidation-assisted fatigue crack growth rate observed at elevated temperatures in nickel superalloys[6]. On the other hand, oxide-induced crack closure, where oxide debris forms in the crack wake and reduces ΔK_eff, is a beneficial mechanism that is disrupted by the irregular, partially melted surface of as-built L-PBF components, since the rough surface geometry prevents the intimate crack face contact needed for effective closure [81]. In corrosion-fatigue conditions, the increased surface area and the presence of crevices between adherent powder particles accelerate electrochemical dissolution and hydrogen embrittlement, substantially reducing fatigue life in marine or body-fluid environments relevant to biomedical implants [82].

6. Alloy-Specific Fatigue Performance: Effect of Surface Condition

6.1. Titanium Alloys: Ti-6Al-4V

Ti-6Al-4V is one of the most widely studied L-PBF alloys for fatigue, owing to its dominance in aerospace and biomedical applications[19]. The as-built fatigue endurance limit (at 10⁷ cycles, R = 0.1) of L-PBF Ti-6Al-4V is typically 200 to 350 MPa, compared to 500 to 600 MPa for wrought material, representing a reduction of 40 to 60% [83]. Surface condition is the primary cause of this deficit when optimized process parameters and post-build heat treatment are employed. Fatigue studies [29,84,85,86,87,88,89] have demonstrated that machining the as-built surface alone increased the fatigue limit from 200 MPa to 500 MPa, while polishing further improved it to 530 MPa, approaching wrought performance.

The build direction dependence is pronounced in Ti-6Al-4V: vertical specimens fail predominantly at surface-attached partially melted particles and LOF pores at grain boundaries aligned with the loading direction. The anisotropy in fatigue life, often a factor of 1.5 to 3 between horizontal and vertical specimens, is mitigated but not eliminated by surface treatment, indicating both surface and bulk microstructural contributions [90]. In AM alloys generally, and not just in Ti-6Al-4V, hot isostatic pressing combined with surface polishing yields fatigue performance approaching or matching that of wrought material by simultaneously closing internal pores and reducing surface stress concentrations [91,92,93].

6.2. Nickel Superalloys: IN718 and IN625

Inconel 718 (IN718) and Inconel 625 (IN625) are the dominant nickel-base superalloys produced by L-PBF for high-temperature structural applications in gas turbines and aerospace structures. The fatigue behavior of L-PBF IN718 is strongly temperature-dependent: at room temperature, as-built surface roughness governs fatigue crack initiation, while at elevated temperatures (650$℃$ and above), oxidation-assisted intergranular cracking becomes dominant and the relative importance of surface roughness diminishes[6,94].

As-built L-PBF IN718 exhibits fatigue endurance limits of approximately 220 to 350 MPa at room temperature (R = -1), compared to approximately 550 MPa for wrought material under the same conditions [95]. Solution annealing and aging heat treatment, which dissolves the Laves phase and precipitates the strengthening γ’’ and γ’ phases, improves the fatigue limit, with heat-treated L-PBF IN718 showing fatigue strengths ranging from approximately 200 to 620 MPa depending on processing parameters and surface condition[95] . When combined with electropolishing, reported fatigue limits increase to approximately 420 to 500 MPa, although this remains somewhat below the scatter band of wrought performance [95]. The strongly textured columnar grain structure in as-built IN718, with elongated grains parallel to the build direction, creates anisotropy in fatigue crack growth and fatigue resistance: cracks propagating across the columnar grain structure encounter higher resistance than those growing parallel to the build direction [95,96].

6.3. Aluminum Alloys: AlSi10Mg and Al6061

AlSi10Mg is the most commonly used aluminum alloy for L-PBF, valued for its castability and good weldability [97,98,99]. However, its fatigue performance is particularly sensitive to surface condition because of the low intrinsic fatigue resistance of aluminum alloys and the presence of interdendritic silicon networks at the surface that act as preferential crack initiation sites[100,101]. As-built L-PBF AlSi10Mg typically exhibits fatigue endurance limits substantially lower than those of comparable cast alloys, with reductions reported in the literature [99,102,103]. The silicon eutectic network, which forms a semi-continuous path along cell boundaries in L-PBF AlSi10Mg, is disrupted by post-build heat treatment: annealing at elevated temperatures spheroidizes the silicon particles, improving ductility and fatigue crack initiation resistance[101,104] . However, heat treatment alone does not address the surface roughness deficit; combined machining and heat treatment yields fatigue limits approaching those of cast counterparts [105]. Shot peening of L-PBF AlSi10Mg introduces compressive residual stresses in the surface layer and cold-works the surface, improving fatigue performance relative to the as-built condition[98,104,106]. However, the improvement is generally less pronounced than for titanium alloys because the lower elastic modulus of aluminum reduces the effectiveness of peening-induced crack closure mechanisms.

6.4. Stainless Steel: 316L

316L stainless steel produced by L-PBF has attracted significant interest for structural and biomedical applications. The as-built 316L microstructure is characterized by a hierarchical cellular-dendritic solidification structure with a dislocation cell network and a strong {011}<011> fiber texture. This as-built microstructure confers high tensile strength (ultimate tensile strength of approximately 650 to 700 MPa) but moderate ductility and fatigue performance[52,107].

Fatigue endurance limits for as-built L-PBF 316L range from 150 to 220 MPa (R = -1), increasing to 280 to 320 MPa upon machining and polishing[108]. A distinguishing feature of L-PBF 316L fatigue is the role of the dislocation cell structure: the cell walls, enriched in Cr and Mo, act as barriers to dislocation glide and delay fatigue crack initiation relative to conventionally processed 316L of the same composition. However, the tensile residual stress at the as-built surface more than offsets this intrinsic resistance advantage, resulting in a net fatigue performance deficit versus machined L-PBF material [109]. Electropolishing has been shown to be particularly effective for 316L, removing the roughest surface peaks and dissolving the oxidized surface layer while introducing a slight compressive residual stress in the near-surface region [110].

7. Post-Processing Surface Treatments and Their Efficacy

The diverse portfolio of post-processing strategies for L-PBF alloys can be broadly classified according to their primary mechanism of action: material removal (machining, electrochemical polishing, abrasive flow machining), microstructural and stress modification without material removal (shot peening, burnishing, laser shock peening), or combined action (laser polishing, hybrid approaches).

7.1. Mechanical Polishing and Machining

Conventional mechanical polishing, using progressively finer abrasive papers, diamond lapping, and electrochemical-mechanical polishing, is the most straightforward method to remove as-built surface roughness. While highly effective (reducing R_a from 10 to 20 µm to less than 0.5 µm), mechanical polishing is time-consuming, inapplicable to internal channels or complex surfaces, and risks introducing tensile residual stresses from abrasive cutting, particularly in soft alloys like aluminum[111]. Computer numerical control machining offers a more controlled material removal route for accessible surfaces and is widely used in industry to finish critical fatigue-bearing regions of L-PBF components.

7.2. Shot Peening and Laser Shock Peening

Shot peening imparts compressive residual stresses and work-hardens the near-surface material through the impact of hard spherical media. For L-PBF alloys, the as-built surface roughness is first partially smoothed by the peening action (though R_a may not decrease substantially if initial roughness is high), and the primary benefit derives from the compressive stress layer. Numerous studies have demonstrated 20 to 80% improvement in fatigue life for L-PBF Ti-6Al-4V, IN718, and 316L via shot peening, with the optimum peening intensity varying by alloy [112,113].

LSP generates deeper compressive layers (1 to 3 mm) than conventional shot peening (0.1 to 0.5 mm) through laser-induced plasma shock waves, making it more effective for large defects and thick-section components[114,115]. LSP-treated L-PBF Ti-6Al-4V has shown fatigue limit improvements of 50 to 100% relative to as-built, and the deep compressive layer effectively prevents crack initiation from subsurface pores [115,116,117]. The limitation of LSP is its cost and the requirement for an ablative coating or water confinement layer, which complicates application to complex geometries[118].

7.3. Burnishing Methods

Burnishing encompasses a family of severe plastic deformation surface treatment techniques that simultaneously improve surface roughness, induce deep compressive residual stress layers, and refine near-surface grain structure without removing material. Unlike shot peening, burnishing achieves nanoscale to submicron surface finish while distributing compressive residual stress to greater depths, making it a highly efficient single-step surface modification method for L-PBF alloys[119].

7.3.1. Slide Burnishing and Roller Burnishing

Slide burnishing employs a spherical or cylindrical tool pressed against the workpiece surface under a controlled normal force, sliding in a predetermined path to plastically deform and smooth the surface asperities. The first stage of the process flattens large undulations from the as-built or ground surface, followed by overall plastic deformation to form a new arc-shaped profile. Applied to L-PBF IN718 after robotic belt grinding, slide burnishing has demonstrated reductions in Sa from approximately 1.0 µm (ground) to 0.3 µm, with the surface acquiring compressive residual stresses in the range of -200 to -600 MPa[15]. A characteristic limitation is that both grinding and slide burnishing involve relative motion in a single direction, resulting in pronounced surface texture orientation (low Str values) and potentially anisotropic fatigue response.

7.3.2. Rotational Burnishing

Rotational burnishing, an innovative development reported by Qi et al. [15] for L-PBF and forged IN718, overcomes the directional limitation of slide burnishing by combining the applied normal burnishing force with high-speed tool self-rotation (typically 600 r/min). The rotational motion induces circumferential material flow at the workpiece surface, generating a more isotropic surface texture and producing the strong frictional self-heating. This heat, which can reach temperatures comparable to or exceeding those during grinding (above 500$℃$), further enhances material plasticity and promotes deeper and more uniform plastic deformation.

The surface integrity outcomes of rotational burnishing applied to L-PBF IN718 are exceptional: the method achieves compressive residual stresses exceeding -1000 MPa and microhardness-strengthened layers with depths exceeding 500 µm, with maximum surface microhardness values above 550 HV (more than twice the substrate hardness of approximately 275 HV) [15]. The GND density beneath the rotational burnished surface is significantly higher than beneath the slide burnished surface, and its concentration range extends deeper, reflecting the superior depth of plastic deformation. Comparing the comprehensive surface integrity scores across all evaluated metrics (roughness, GND depth, compressive residual stress, and hardened layer depth), rotational burnishing consistently outperforms slide burnishing for both wrought and L-PBF IN718 substrates, with analogous improvements observed regardless of the material preparation method.

7.3.3. Low Plasticity Burnishing (LPB)

Low plasticity burnishing (LPB), a rolling-contact burnishing technique, applies a fluid-supported ball tool to the surface under a precisely controlled force, inducing controlled plastic deformation without the thermal effects of rotational burnishing. LPB has been established as a post-processing method for L-PBF IN718, achieving R_a values below 0.5 µm from as-built surfaces of 10 to 20 µm, and inducing compressive residual stress layers of 200 to 800 µm depth with magnitudes of -400 to -800 MPa [16,120]. Fatigue testing of L-PBF IN718 processed by LPB (four-point bending, R = 0.1, maximum stress 800 MPa) demonstrated improvements in fatigue life of 47%, 54%, and 63% at applied stress levels of 300, 500, and 700 MPa, respectively, relative to as-built material[16]. The improvement is attributed to three concurrent mechanisms: reduction of surface roughness (removing geometric stress risers), formation of fine grain structure in the near-surface zone through severe plastic deformation, and generation of compressive residual stress at the surface and beneath layers.

A practical limitation of LPB for nickel-base superalloys is the resistance of the material against plastic deformation, which necessitates multiple processing passes to achieve adequate surface integrity and increases production time. Kaya et al. [46] reported that burnishing of L-PBF IN718 with optimal parameters (force, feed, speed, and pass number) achieves surface roughness values competitive with electropolishing while simultaneously introducing beneficial compressive stress, a combination not achievable by electrochemical methods alone.

7.3.4. Electrical Current-Assisted Burnishing (ECAB)

Electrical current-assisted burnishing (ECAB) represents a significant advance in burnishing technology for hard-to-deform alloys such as L-PBF nickel superalloys. By passing a direct electrical current through the workpiece during the burnishing process, the electroplasticity effect reduces the flow stress of the material, facilitating plastic deformation at lower applied forces and enabling the compressive stress zone to extend to greater depths than is achievable with LPB alone [16].

Alharbi [16] systematically investigated ECAB applied to L-PBF IN718 at current densities of 5 and 10 A/mm², comparing single, double, and triple pass configurations against as-built and LPB-processed samples. The fatigue life improvements achieved by ECAB were substantially greater than those from LPB: three-pass ECAB at 5 A/mm² and 10 A/mm² yielded fatigue lives of 1.66 x 10⁵ and 1.75 x 10⁵ cycles, respectively, compared to approximately 3.6 x 10⁴ cycles for the as-built condition. This represents improvements of 4.5 and 4.9 times relative to as-built, respectively. The superior performance of ECAB is attributed to enhanced grain refinement in the near-surface zone (evidenced by more continuous SAED ring diffraction patterns and smaller grain sizes at 10 to 30 µm depth), greater reduction in near-surface porosity (from approximately 0.7% in as-built to below 0.1% after three-pass ECAB at 10 A/mm²), and deeper compressive residual stress distributions confirmed by XRD depth profiling.

Fractographic analysis by SEM confirmed that the ECAB treatment shifted the fatigue crack initiation site from the specimen surface (observed in as-built specimens) to subsurface locations (fish-eye crack initiation), indicating that the surface and near-surface layer had been sufficiently strengthened to prevent surface-driven failure[16]. This transition is a hallmark of effective surface treatment and is also observed in optimally shot-peened and LSP-treated specimens.

7.4. Electrochemical Polishing and Chemical Etching

Electrochemical polishing (ECP) selectively dissolves surface asperities through anodic dissolution, producing smooth surfaces with Ra below 1 µm on complex geometries including internal channels and lattice structures, a capability unavailable to mechanical methods[121]. ECP has been shown to improve the fatigue limit of L-PBF IN718 from approximately 420 MPa to approximately 560 MPa in some studies. However, ECP can introduce tensile residual stresses via preferential dissolution at grain boundary regions and risks over-etching at corners and edges, increasing local stress concentrations. Chemical etching (e.g., HF/HNO₃ for titanium) is simpler but less controllable and is primarily used to remove the oxide layer and light surface contamination rather than to reduce roughness significantly[121].

7.5. Abrasive Flow Machining

Abrasive flow machining (AFM) passes a viscous, abrasive-laden polymer medium through or over the surface under pressure, abrading the surface as it flows. AFM is uniquely capable of polishing internal passages and conformal channels in L-PBF components that are inaccessible to other methods [122]. Studies on L-PBF Ti-6Al-4V lattices and turbine cooling channels have demonstrated Ra reductions from 15 to 25 µm to 1 to 4 µm via AFM, with corresponding improvements in fatigue life of 40 to 120%. The degree of polishing is influenced by channel geometry and flow path length, leading to non-uniform removal in complex circuits[123].

7.6. Laser Polishing

Laser polishing uses a defocused or modulated laser beam to remelt a thin surface layer, allowing surface tension-driven smoothing to occur as the melt pool solidifies. The process is fully non-contact, compatible with complex geometries when used with robotic delivery systems, and can be performed in situ during the L-PBF process on each layer or post-build [124]. Ra reductions from 10 to 20 µm to 1 to 5 µm are typical, though residual ripples from solidification remain. A critical concern is that laser remelting alters the near-surface microstructure and residual stress state, often reintroducing tensile residual stresses, which may offset the roughness reduction benefit[125]. Integrated simulation-informed laser polishing, using thermal models to optimize energy dose and scan speed, is an active area of development.

7.7. Hybrid and Combined Approaches

The most effective surface treatment strategies for fatigue enhancement combine roughness reduction with favorable residual stress introduction. The combination of machining (or ECP) followed by shot peening is the most studied hybrid approach and consistently yields fatigue performance close to or exceeding wrought material across alloy systems[126]. Hot isostatic pressing, while primarily aimed at eliminating internal porosity, also partially relaxes tensile residual stresses and, when followed by shot peening, produces synergistic improvements. Thermo-mechanical post-processing routes that combine heat treatment, surface machining, and peening in an optimized sequence represent the current state of practice for fatigue-critical aerospace L-PBF components[127].

Infrared radiation-assisted burnishing offers a further refinement: preheating the workpiece surface to approximately 310$℃$ before roller burnishing reduces the flow stress of IN718, enabling deeper plastic deformation and higher compressive residual stress at lower applied burnishing forces compared to room-temperature burnishing[128]. This approach shares mechanistic similarities with ECAB (thermally enhanced plasticity) but uses convective or radiative heating rather than the electroplasticity effect, making it suitable for larger components and more accessible equipment.

Table 1 provides a comparative summary of all the methods reviewed, including their achievable roughness reduction, compressive residual stress depth, fatigue life gain, and suitability for complex geometries.

8. Modeling and Predictive Approaches

8.1. Process-Surface-Fatigue Simulation Chains

The development of integrated simulation chains, coupling L-PBF process models (thermal, fluid dynamics, and solidification) to surface morphology predictions, residual stress models, and fatigue life models, is a major research frontier. Finite element-based process models using moving heat source approaches (e.g., Goldak double ellipsoid) can predict melt pool dimensions, cooling rates, and residual stress distributions with reasonable fidelity for simple geometries[132]. Lattice Boltzmann and smoothed particle hydrodynamics methods capture melt pool flow dynamics and predict surface roughness arising from balling and spattering[133].

8.2. Fracture Mechanics-Based Fatigue Life Prediction

The Kitagawa-Takahashi diagram, augmented with the El Haddad correction for short cracks, provides a framework for predicting the fatigue limit of L-PBF alloys containing surface defects of known size. The approach requires knowledge of the long-crack threshold ΔK_th and the plain fatigue limit σ_e, both of which are influenced by the near-surface microstructure and residual stress state[134]. Probabilistic fracture mechanics approaches, using Monte Carlo sampling of defect size and location distributions obtained from micro-CT scans, enable the construction of probability of failure curves that are directly applicable to damage-tolerant design[135].

8.3. Machine Learning Approaches

The availability of large experimental datasets from the L-PBF fatigue literature has stimulated the application of machine learning (ML) methods for process-to-fatigue property mapping. Artificial neural networks, Gaussian process regression, and ensemble methods (random forests, gradient boosting) have been trained on datasets encompassing process parameters, heat treatment conditions, surface roughness, and fatigue results[136,137,138]. While promising for interpolation within the training domain, ML models extrapolate poorly to novel alloys or extreme conditions, and their physical interpretability remains limited. Physics-informed neural networks[139], which embed constitutive equations into the ML loss function, represent a promising path toward more robust and physically consistent fatigue life predictions.

9. Research Gaps and Future Directions

Despite significant progress, several critical research gaps remain in understanding surface condition driven fatigue in L-PBF alloys. The following priorities are identified based on the current state of the literature and emerging industrial needs.

First, there is a lack of standardized surface characterization protocols for L-PBF fatigue specimens. The field suffers from inconsistent reporting of surface parameters; many studies report only R_a while neglecting higher-order parameters (S_sk, S_ku, S_z) that are more mechanistically relevant to fatigue initiation. Adoption of the ISO 25178[38] areal surface texture standard, coupled with systematic fatigue testing, would substantially improve cross-study comparability and enable quantitative structure-property model development.

Second, the fatigue behavior under multiaxial and variable-amplitude loading conditions for surface-treated L-PBF alloys is poorly characterized. Most fatigue data is generated under uniaxial, constant-amplitude loading, whereas real components experience complex loading spectra. The interaction between compressive residual stresses introduced by burnishing or peening and multiaxial stress states, particularly their effect on critical plane orientation in high-cycle and very high cycle regimes, is unresolved.

Third, the thermal stability of peening- and burnishing-induced compressive residual stresses in L-PBF nickel superalloys at service temperatures (600 to 750 $℃$) is a significant concern for gas turbine applications. Residual stress relaxation during elevated-temperature fatigue can rapidly negate the benefits of surface treatment, yet the kinetics of this relaxation in L-PBF microstructures (which differ from wrought microstructures in dislocation substructure and grain texture) have not been systematically studied.

Fourth, the role of surface condition in very high cycle fatigue (VHCF, N > 10⁸ cycles), relevant to components experiencing high-frequency vibrational loading, is largely unexplored for L-PBF alloys. In the VHCF regime, crack initiation typically transitions from surface to subsurface (fish-eye) sites in conventionally processed materials; whether this transition occurs in L-PBF alloys with rough as-built surfaces and near-surface defect populations requires dedicated ultrasonic fatigue investigation.

Fifth, the corrosion-fatigue behavior of surface-treated L-PBF alloys in biologically relevant and marine environments is insufficiently characterized for confident long-life deployment. The effect of surface treatment on corrosion pit formation kinetics, which can dominate fatigue crack initiation in corrosive environments, demands systematic study. The surface wettability changes induced by burnishing, characterized by contact angle measurements, may have practical implications for bio-fouling and corrosion in biomedical implant applications that remain unexplored[15].

Sixth, the scalability and automation of advanced burnishing techniques (rotational burnishing, ECAB) to industrially relevant component geometries and batch sizes has not been demonstrated. The integration of robotic burnishing systems with in-process force and temperature monitoring, as demonstrated for simple flat specimens, needs extension to complex three-dimensional L-PBF geometries such as topology-optimized brackets and heat exchangers.

Finally, closed-loop in-process surface control, using real-time sensing of melt pool characteristics to adjust process parameters and minimize surface roughness during the build, remains aspirational but not yet realized at production scale. Integration of high-speed pyrometry, spatter monitoring, and adaptive control algorithms with L-PBF machines could substantially reduce the post-processing burden and improve part-to-part surface consistency.

10. Conclusions

This review has systematically examined the role of surface condition in governing the fatigue performance of L-PBF manufactured alloys. The following principal conclusions are drawn:

(1) As-built L-PBF surfaces exhibit complex, multi-scale roughness characterized by staircase geometry, adherent partially melted particles, and balling defects that severely degrade fatigue performance relative to wrought counterparts.

(2) Tensile residual stresses at as-built L-PBF surfaces, arising from the temperature gradient mechanism, increase effective mean stresses and reduce fatigue limits. Post-processing strategies that introduce compressive residual stress layers are essential to mitigate this deficit.

(3) Near-surface and surface-breaking porosity, especially irregular LOF pores, dominates fatigue crack initiation even in the presence of internal defects. The Murakami $\sqrt{area}$ parameter provides a tractable metric for fatigue limit prediction in the defect-controlled regime. Burnishing techniques can reduce near-surface porosity through plastic deformation-driven pore closure.

(4) Surface condition effects are alloy-specific: Ti-6Al-4V is most severely affected by surface roughness; IN718 requires combined attention to roughness and microstructure (Laves phase dissolution); AlSi10Mg is limited by the Si eutectic network and low intrinsic fatigue resistance; and 316L benefits from its dislocation cell structure but is penalized by tensile residual stress.

(5) Burnishing methods, including slide burnishing, rotational burnishing, LPB, and ECAB, represent an important and underutilized class of surface modification strategies for L-PBF alloys. As demonstrated in initial studies, ECAB achieves fatigue life improvements over as-built components and has the potential to exceed the performance of shot peening or LPB by itself.

(6) Hybrid post-processing strategies, combining roughness removal (machining, ECP, or AFM) with compressive stress introduction (shot peening, laser shot peening, or burnishing), are the most effective means of recovering fatigue performance, with the potential to reach or exceed wrought material performance levels.

(7) Significant research gaps remain in multiaxial fatigue characterization, VHCF behavior, thermal stability of burnishing-induced residual stresses at service temperature, corrosion-fatigue of treated surfaces, standardized surface characterization protocols, and the scalability of robotic burnishing to complex L-PBF geometries. These represent priority areas for future research investment.