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Increasing the productivity of laser powder bed fusion: Influence of the hull-bulk strategy on part quality, microstructure and mechanical performance of Ti-6Al-4V

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Abstract

To increase the productivity of Laser Powder Bed Fusion (LPBF), a hull-bulk strategy can be implemented. This approach consists in using a high layer thickness in the core of the part, hence reducing the build time, and a low layer thickness in the skin, to maintain a high accuracy and good surface finish. The present study investigated to what extent this strategy affected the surface roughness, relative density, microstructure and mechanical properties of Ti-6Al-4 V parts. Ti-6Al-4 V specimens were built using two distinct sets of process parameters, one optimized for a 90 μm-layer thickness in the bulk and the other for a 30 μm-layer thickness in the hull. In addition to surface roughness and relative density measurements, a thorough microstructure analysis was done using both optical microscopy and SEM. Additionally, EBSD measurements and numerical reconstruction of the parent β grains were performed to evaluate the mesostructure and texture evolution from hull to bulk. Microhardness measurements and tensile tests were done to assess the effect of the hull-bulk strategy on the mechanical properties. This analysis was completed on both as-built and stress-relieved specimens. The present study demonstrated the possibility of using the hull-bulk strategy to build high-quality Ti-6Al-4 V parts, without impacting their tensile properties, hence increasing the productivity of the process by a geometry-dependent factor, typically ranging between 25 % and 100 %.

Introduction

Laser Powder Bed Fusion (LPBF), also known as Selective Laser Melting (SLM) or direct metal printing (DMP), offers many advantages, in particular a higher design freedom than conventional manufacturing. The layer-by-layer approach inherent to additive manufacturing (AM) allows the building of complex geometries and custom-made designs. In comparison with other AM processes for metals, such as Electron Beam Melting (EBM) or Directed Energy Deposition (DED), LPBF offers a high accuracy. This is related to the fine layer thickness and relatively small powder size distribution typically used in the LPBF process. However, the ability of LPBF to manufacture parts with a high resolution is counterbalanced by the low productivity of the process. The build rate of LPBF is indeed typically lower than that of other powder-bed AM processes, such as EBM. To illustrate this, Table 1 provides a comparison of the productivity of an LPBF ProX320 machine and an EBM Arcam A1 machine, considering a build job of 256 tensile bars, i.e. the capacity limit of an Arcam A1 EBM machine.

The build rate is directly proportional to the layer thickness, scanning velocity and hatch spacing. Increasing the layer thickness is therefore a straightforward approach to improve the productivity [1] but directly impacts the surface roughness and geometrical accuracy of the part [2] and requires a thorough process parameters optimization in order to avoid the formation of lack-of-fusion porosity [3]. The trade-off between part quality and productivity remains one of the major obstacles to a wider industrialization of the LPBF process. To address this issue, various approaches have been developed and implemented, such as increasing the machine’s build volume to reduce operating time, or using multiple laser beam sources and multiple laser-scanning systems in one machine (“twin-laser” or “quad-laser” [4]) so that the build area can either be multiplied or that one build space can be processed by several lasers and scanning-systems at the same time [5]. However, these approaches involve significant research and development and typically lead to more expensive LPBF machines.

In order to combine geometrical accuracy and process productivity, while avoiding the use of larger or more expensive machines, a “hull-bulk” strategy (also known as “hull-core” or “skin-core” strategy) can be implemented [4,6]. This approach consists of applying a high precision parameter set for the hull (or skin) of the part, and a high productivity parameter set for its bulk (or core). From a practical point of view, this can be achieved by varying the spot size and laser power. As mentioned by Poprawe et al. [5], a large beam setting with high laser power combined with a large hatch spacing can be used for the bulk, whereas a fine beam is used to build the outer shape of the parts (skin). This approach was proposed by Schleifenbaum et al. [6], who used a duo-laser set-up and by Metelkova et al. [7], who increased the spot size by defocusing the laser beam. Scanning with varying spot sizes, however, was out of scope for this study, as it requires significant hardware modifications.

A simpler method, which can be applied as such in state-of-the-art industrial LPBF machines, without hardware adaptation, consists in using two different sets of process parameters in the bulk and in the hull. The hull is built with a conventional layer thickness, whereas a larger layer thickness and higher power are used for the bulk. This requires a preliminary process parameter optimization step, in order to define the optimal set of power, scanning speed and hatch spacing for this layer thickness.

Although the hull-bulk strategy is not new to the AM community [[6], [7], [8]], its impact on the material properties remains poorly understood for Ti-6Al-4 V, one of the most widely used alloys in the AM industry. Koutny et al. [8] recently investigated the effect of this strategy on Al parts processed with a skin-core strategy, reporting the presence of a graded microstructure, but to the best of the authors knowledge, no such study was performed on Ti-6Al-4 V.

In Ti-6Al-4 V manufactured by LPBF, the meso- and microstructure are known to be closely related to the processing conditions [9,10]. The mesostructure of AM Ti-6Al-4 V parts typically consists of columnar parent β grains resulting from rapid solidification and epitaxial growth along the thermal gradient [[11], [12], [13]]. In addition, the high cooling rate of the LPBF process determines the final microstructure within the prior β grains, which is martensitic in as-built condition [11,14]. Given the close correlation between process parameters and microstructure, the use of different processing conditions in the bulk and in the hull might result in the genesis of distinctive microstructures, hence impacting the mechanical properties. In order to validate the use of the hull-bulk strategy in critical industrial applications, it is essential to determine to what extent this strategy impacts the microstructure and mechanical properties of LPBF Ti-6Al-4 V parts. Hence, the present study investigated the meso- and microstructure in the skin, core and skin-core interface and evaluated how the presence of a gradient in mesostructure impacted the quasi-static mechanical properties of the material. In addition to a thorough microstructural characterization, microhardness and uniaxial tensile properties were evaluated in order to establish structure-property relationships. The effect of a subsequent stress-relief post-treatment was also investigated.

Section snippets

Hull-bulk strategy

The hull-bulk strategy was realized by employing the Supermiddle build style of the XHP LaserForm Ti Gr23 material available in the 3DXpert™ software: the skin was printed with the optimized standard parameters for a 30 μm layer thickness (LT), while the core was printed with the Extra High Productivity Upgrade parameters (90 μm layer thickness), as illustrated in Fig. 1. For each layer thickness, the corresponding energy density Ev=Pvht is reported in Table 2. An extensive DOE was performed

Density measurements

The density measurements are reported in Table 3 with a confidence interval of 95 %. Similar density results were obtained for the two reference parts R30 and R90 and for the hull-bulk specimens HB30 + 90.

Surface finish

The vertical side surfaces and horizontal top surfaces of reference R30 and R90 and hull-bulk HB30 + 90 specimens are reported in Fig. 6. From a qualitative point of view, the hull-bulk part exhibited a side surface finish that is very similar to that of the reference specimen built with a

Part quality and productivity increase

The hull-bulk strategy allows to build fully dense Ti-6Al-4 V parts with a surface finish equivalent to that of reference parts, as demonstrated by the very similar relative densities and Ra values obtained in hull-bulk parts compared to 30 μm LT specimens. While equivalent part quality is achieved, the build time can be significantly reduced by applying the hull-bulk strategy. However, as previously mentioned, this productivity increase was highly dependent on the geometry and dimensions of

Conclusions

The productivity increase resulting from the implementation of a hull-bulk strategy was directly related to the part’s geometry, and became substantial when this approach was applied to relatively bulky parts. The surface-to-volume ratio could be used as a valid parameter to evaluate the relevance of using a hull-bulk strategy and to compare the efficiency of this approach for various geometries. A productivity increase higher than 25 % is typically achieved for the production of parts with a

CRediT authorship contribution statement

Charlotte de Formanoir: Conceptualization, Investigation, Project administration, Visualization, Writing - original draft. Umberto Paggi: Methodology, Investigation, Writing - review & editing. Thomas Colebrants: Methodology, Investigation. Lore Thijs: Resources, Writing - review & editing. Guichuan Li: Investigation. Kim Vanmeensel: Resources, Supervision. Brecht Van Hooreweder: Funding acquisition, Writing - review & editing, Supervision.

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

This research was funded by the Combilaser SBO project. We acknowledge Dr Loïc Malet and Dr Benjamin Hary from the 4MAT department (ULB) for their help in the numerical reconstruction of the parent β grains and Gokulakrishna Muralidharan for the EBM-LPBF productivity analysis.

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