In this research, a rapid method based on melt pool characterization is developed to estimate the layer thickness of Ti-6Al-4V components produced by directed energy deposition.
Directed Energy Deposition (DED), which is an additive manufacturing technique, involves the creation of a molten pool with a laser beam where metal powder is injected as particles. In general, this technique is employed to either fabricate or repair different components. In this technique, the final characteristics are affected by many factors. Indeed, one of the main tasks in building components by DED is the optimization of process parameters (such as laser power, laser speed, focus, etc.) which is usually carried out through an extensive experimental investigation. However, this sort of experiment is extremely lengthy and costly. Thus, in order to accelerate the optimization process, an investigation was conducted to develop a method based on the melt pool characterizations. In fact, in these experiments, single tracks of Ti-6Al-4V were deposited by a DED process with multiple combinations of laser power and laser speed. Surface morphology and dimensions of single tracks were analyzed, and geometrical characteristics of melt pools were evaluated after polishing and etching the cross-sections. Helpful information regarding the selection of optimal process parameters can be achieved by examining the melt pool features. These experiments are being extended to characterize the larger blocks with multiple layers. Indeed, this manuscript describes how it would be possible to quickly determine the layer thickness for the massive deposition, and avoid over or under-deposition according to the calculated energy density of the optimum parameters. Apart from the over or under-deposition, time and materials saving are the other great advantages of this approach in which the deposition of multilayer components can be started without any parameter optimization in terms of layer thickness.
Ti-6Al-4V is the most commonly used Ti alloy in the aerospace, aircraft, automotive, and biomedical industries because of its high strength-to-weight ratio, excellent fracture toughness, low specific gravity, excellent corrosion resistance, and heat treatability. However, its further developments in other applications are challenging, owing to its low thermal conductivity and high reactivity features, which result in its poor machinability. Moreover, due to the heat hardening phenomena during the cutting, a specific heat treatment must be undertaken1,2,3,4.
Nonetheless, additive manufacturing (AM) technologies showed great potential to be used as new manufacturing techniques that can reduce the price and energy consumption, and address some of the current challenges in the fabrication of Ti-6Al-4V alloy.
Additive manufacturing techniques are known as innovative and can fabricate a near net shape component in a layer-by-layer fashion. A layer-by-layer additive manufacturing approach, which slices a Computer Aided Design (CAD) model into thin layers and then builds the component layer by layer, is fundamental for all AM methods. In general, additive manufacturing of metallic materials can be divided into four different processes: powder bed, powder feed (blown powder), wire feed, and other routes3,5,6.
Directed Energy Deposition (DED) is a class of additive manufacturing and is a blown powder process that fabricates three-dimensional (3D) near net shape solid parts from a CAD file similar to other AM methods. In contrast with other techniques, DED can not only be used as a manufacturing method, but also can be employed as a repairing technique for high value parts. In the DED process, metallic powder or wire material is fed by a carrier gas or motors into the melt pool, which is generated by the laser beam on either the substrate or previously deposited layer. The DED process is a promising advanced manufacturing process that is capable of decreasing the buy-to-fly ratio, and also is capable of repairing high value parts that previously were prohibitively expensive to replace or irreparable7.
In order to achieve the desired geometric dimensions and material properties, it is vital to establish appropriate parameters8. Several studies have been undertaken to elucidate the relationship between the process parameters and the final properties of the deposited sample. Peyre et al.9 built some thin walls with different process parameters, and then characterized them by using 2D and 3D profilometry. They showed that layer thickness and melt pool volume affect the roughness parameters noticeably. Vim et al.10 proposed a model in order to analyze the relation between the process parameters and geometrical characteristics of a single cladding layer (clad height, clad width, and depth of penetration).
To date, several studies on DED of Ti alloys have been reported, most of which focused on the influence of the combination of parameters on properties of massive samples11,12,4. Rasheedat et al. studied the effect of scan speed and powder flow rate on the resulting properties of the laser metal deposited Ti-6Al-4V alloy. They found that by increasing the scan speed and powder flow rate the microstructure changed from Widmanstätten to a martensitic microstructure, which results in an increment of surface roughness and the microhardness of deposited specimens7. Nevertheless, less attention has been paid to designing the layer thickness setting. Choi et al. have investigated the correlation between the layer thickness and process parameters. They have found that the main sources of error between the present height and the actual height are the powder mass flow rate and layer thickness setting13. Their studies did not properly implement layer thickness setting because they involved lengthy and inaccurate processes in the layer thickness setting. Ruan et al. have investigated the effect of laser scanning speed on the deposited layer height at a constant laser power and powder feeding rate14. They have proposed some empirical models for layer thickness setting which were obtained under specific processing conditions, and thus the layer thickness setting may not be precise due to the utilization of specific process parameters15. In contrast to previous works, the layer thickness setting process proposed in this manuscript is a rapid method which can be performed without wasting time and materials.
The main focus of this work is to develop a rapid method for the determination of layer thickness based on the characteristics of the single tracks of the Ti-6Al-4V alloy at optimum DED process parameters. Thereafter, the optimal process parameters are employed to determine a layer thickness and fabricate high-density Ti-6Al-4V blocks without wasting time and materials.
1. Powder Characterization
2. Directed Energy Deposition of Single Tracks
3. Analyze the Single Tracks
For the experimental studies, irregular Ti-6Al-4V powder with an average size of 50 – 150 µm and apparent density of 1.85 g/cm3 was employed as depositing material (Figure 1). The chemical analysis of the powder confirmed that the oxygen and nitrogen contents of the powder did not change before and after the deposition process, while in both cases the oxygen content was higher than the standard oxygen content of Ti-6Al-4V powder for additive manufacturing (<0.13%). However, the oxygen and nitrogen content of the bulk components increased after the deposition.
Figure 1: Starting Ti-6Al-4V powder is used as depositing material. This is an irregular powder with an average size of 100 – 150 µm and apparent density of 1.85 g/cm3.
C | S | Al | Fe | H | N | O | V | Ti | |
Fresh powder | 0.017 | <0.001 | 5.83 | 0.08 | 0.013 | 0.022 | 0.23 | 3.89 | Bal. |
Used Powder | 0.016 | <0.001 | 5.86 | 0.08 | 0.012 | 0.02 | 0.22 | 3.87 | Bal. |
Bulk component | 0.021 | 0.001 | 5.78 | 0.08 | 0.012 | 0.058 | 0.28 | 3.8 | Bal. |
Standard | < 0.08 | — | 5.5-6.5 | <0.25 | <0.012 | <0.05 | <0.13 | 3.5-4.5 | Bal. |
Table 1: The chemical composition of Ti-6Al-4V powder before and after deposition (weight percentage). It shows that the oxygen and nitrogen contents of the powder do not change before and after the deposition process, while in both cases the oxygen content is higher than the standard oxygen content of Ti-6Al-4V powder for additive manufacturing.
Figure 2 shows the single tracks of the Ti-6Al-4V alloy after deposition at various laser power and laser scan speed. As can be seen by increasing the laser power and decreasing the laser scan speed, the size of single tracks increased.
Figure 2: Single tracks of the Ti-6Al-4V alloy after deposition. These single tracks were deposited at different laser power and laser scan speed and analyzed from the top. By increasing the laser power and decreasing the laser scan speed, their sizes increased.
Figure 3 shows the cross section of single tracks after the deposition, and by increasing the laser power, the height of single tracks increased considerably. Moreover, by decreasing the laser scan speed at a constant laser power, the height of deposition increased while, at low laser power and very high laser scan speed, the height of deposition was negligible. Despite the height of the melt pool, the porosity formation inside the melt pool, in particular near the interface of the melt pool/fusion zone area, was another phenomenon which was revealed after the deposition.
Figure 3: Cross section of single tracks after the deposition. By increasing the laser power and decreasing the laser scan speed, the height of melt pool decreased. Please click here to view a larger version of this figure.
The relationship between the single track height and different process parameter is shown in Figure 4. The height of single tracks at different laser scan speeds increased by increasing the laser power, which suggests that the laser power up to a certain point has a positive effect on the deposition height (Figure 4a). However, after that critical point, the laser power negatively affects the growth of deposition due to the delivery of too much energy into the melt pool. Furthermore, it was found that as the laser scanning speed increased, the energy input in the melting pool was reduced and the powder delivery rate was indirectly decreased, and consequently the deposited height decreased remarkably (Figure 4b).
Figure 4: Effect of different process parameters on single track dimension. It is clear that as the laser scanning speed increased (b), the energy input in the melting pool is reduced and the powder delivery rate (a) is indirectly decreased and, consequently, the deposited height decreased remarkably. Please click here to view a larger version of this figure.
These results clearly demonstrate the influence of different process parameters on the geometry of deposited tracks. Despite providing valuable insight into the process, the assessment of the deposited height is still challenging, due to the variety of parameters which were involved. Thus, some efforts have been undertaken to develop a new strategy to evaluate the effect of the combination of process parameters on the geometry of deposited track.
As was shown, the height of deposited layer increased by increasing the laser power, and it was understood that this was not the only parameter that affects the height of the melting pool. In fact, in the period of time needed to melt a given volume of the substrate and deposit an appropriate layer of molten material, a certain amount of energy and powder should be provided to the substrate. This energy is not only determined by laser power and laser scan speed, but also the laser spot size should be considered. For this purpose, the specific energy density per unit spot size (E) and powder feed density (F) is calculated to evaluate the effect of the combination of these parameters.
E, which is the specific energy density, shows the energy that is delivered into the melt pool by the laser, and in principle is responsible for melting the substrate and powder. This energy density is expressed as8
(1)
Where E is the specific energy density per unit spot size, P is the laser power (W), v is the laser scan speed (mm/s), and D is laser spot size (mm). To obtain an appropriate deposition level for each metallic material, there is a certain level of energy below which no fusion bonds can be achieved, and beyond that the dilution becomes too large. Another factor that shows the effect of the combination of parameters is the powder density (F), which can be calculated as follows8
(2)
Here, F is the powder feed density, and G is the powder feeding rate (g/s).
Figure 5 demonstrates the variation of deposited layer height as a function of specific energy density. As can be seen, the height of single tracks increased by increasing the specific energy density, which can be related to the higher heat input at the higher laser energy density. The empirical correlation between the energy density and the height of deposition are as follows:
h = 14.99 E – 17.85 (3)
From this equation, the height of deposited track can be estimated through the calculation of the specific energy density and this equation. On the other hand, the variation of deposited height as a function of powder density, which is shown in Figure 6, showed that by increasing the powder density, the height of deposited track increased, and the empirical relationship between these can be expressed as follows:
h = 38477 F – 157.06 (4)
This equation shows that the height of deposited track can be calculated by calculating the powder density and this equation. Eq. 3 and Eq. 4 show that by using the combination of process parameters and calculating the specific energy density and powder density, it is possible to forecast the deposited height, and consequently find the best domain to achieve the best deposition quality.
Figure 5: Single track height (h) versus specific energy density (E). The height of single tracks increased by increasing the specific energy density, which can be related to the higher heat input at higher laser energy density. Please click here to view a larger version of this figure.
Figure 6: Single track height (h) as a function of powder feed density (F). By increasing the powder feed density, the height of deposited track increased. Please click here to view a larger version of this figure.
In direct energy deposition of metallic materials, h (the layer height, or ΔZ) is a very important factor that affects the quality of component after the deposition. In the conventional direct energy deposition of metallic components, the height of the deposition layer is considered a constant and, apart from the geometry of component and its material, the process parameters such laser power and laser scanning speed were optimized to fabricate the final component. Indeed, slicing the layers in a constant thickness does not usually conform to the process parameters. Therefore, this thickness may be altered either manually or empirically, which sacrifices the quality of component and the fabrication rate. In general, in conventional layer slicing, over- or under-deposition may be achieved due to the approximations in the consideration of the layer thickness, which needs further corrections such as subsequent deposition or machining the extra layers (Figure 7a). Thus, in this work, effort has been undertaken to develop a new strategy to determine the layer thickness, according to the process conditions which are used in the production of components.
Figure 7: Slicing. (a) conventional slicing strategy, (b) new slicing strategy according to the optimum process parameters; in conventional layer slicing, over- or under-deposition may be achieved due to the approximations in the consideration of the layer thickness, which needs further corrections, such as subsequent deposition or machining the extra layers. In this approach, the layer thickness for the fabrication of component is determined according to a single layer height related to the specific energy density of two combined parameters. E is the specific energy density per unit spot size, F is the powder feed density, tdep is the single layer thickness, and tlayer is the slice thickness.
In fact, in this approach, the layer thickness for the fabrication of component is determined according to a single layer height related to the specific energy density of two combined parameters. To proof this method and check the correlation between the quality of the component and different layer thickness, some simple cubes were built at various ΔZ and then their cross sections were evaluated.
Figure 8a-b show the representative cross-sections of multilayer-blocks, which were produced according to the conventional method. As can be seen in Table 2, according to the slicing strategy which considers 0.325 mm as the layer thickness, the desired height of the block shown in Figure 8a should be approximately 5.2 mm. However, in the conventional method, the final height of 10.11 mm (over-deposition) was achieved, which is a consequence of considering a high ΔZ (0.6 mm) during the process. This over-deposition process resulted in the lack of fusion between the layers, and a high level of porosity inside the specimen. On the other hand, Figure 8b illustrates that by considering a low ΔZ, the desired height cannot be achieved, and this results in a long deposition process and undesirable microstructure. These discrepancies imply that in the conventional method, slicing the layers in a fixed thickness does not usually conform to the process parameters, and thus the desired layer thickness cannot be achieved. A cross-section of the block, which was produced according to the slicing strategy, is shown in Figure 9. As can be seen through considering an appropriate ΔZ, it could be possible to achieve excellent dimensional accuracy. However, the dimensional accuracy can be decreased at a high level of laser power as a consequence of high input energy, which results in the melting of underlying layer. Table 2 shows that by using the slicing method, a more stable melting pool position can be achieved, and consequently the dimensional accuracy increases. Figure 9 shows a block which is produced according to the slicing approach, and as can be seen by using an appropriate ΔZ (~ 0.5 mm) the desired height of deposition was obtained.
Figure 8: Examples of specimens produced by the conventional method. According to the slicing strategy which considers 0.325 mm as the layer thickness, the desired height of the block which is shown in panel a should be approximately 5.2 mm. However, in the conventional method, the final height of 10.11 mm (over-deposition) was achieved, which is a consequence of considering a high ΔZ (0.6 mm) during the process. On the other hand, panel b illustrates that by considering a low ΔZ, the desired height cannot be achieved, and results in a long deposition process and undesirable microstructure. Please click here to view a larger version of this figure.
Figure 9: Example of a sample fabricated by the slicing approach. It confirms that a proper ΔZ consideration results in an excellent dimensional accuracy.
Laser power (W) | Layer thickness (mm) | Number of layers | Desired height (mm) | Deposited height (mm) | |
Conventional method | 350 | 0.325 | 16 | 5.206 | 10.114 |
1500 | 0.758 | 8 | 6.07 | 3.425 | |
Slicing method | 325 | 0.485 | 5 | 7.436 | 7.245 |
Table 2: Comparison between the deposited height and desired height in conventional and slicing methods. It shows that by using the slicing method, a more stable melting pool position can be achieved and, consequently, the dimensional accuracy increases.
In this work, the focus was on the slicing thickness setting in the DED process of Ti-6Al-4V, according to the geometry of melt pool characteristics. For this purpose, a two-step protocol was defined and utilized. The first part of the protocol was an optimization of process parameters for single scan deposition and, during this step, the optimum parameters were achieved and the melt pool geometries were measured. In the second part of the protocol, the specific energy density of specimens at the optimum parameters was calculated. In this step, the height of the melt pool was plotted as a function of energy density and, in this critical step, the layer thickness for the multilayer deposition can be achieved.
In DED, since various process parameters alter the thickness of layers, the deposition of layers with a constant layer thickness cannot result in a precise geometry of the component. It means that considering a fixed layer thickness for deposition, regardless of process parameters, leads to under- or over-deposition that results in geometric error and, consequently, a long production process. The purpose of this investigation was to explore the relationship between the slicing thickness setting procedure, the actual deposited height, and the process conditions. It was concluded that through the combination of the geometry of the melt pool and process parameters, it would be possible to determine the optimum layer thickness associated with the specific process parameters in a shorter period of time with respect to the traditional methods.
The slicing strategy uses the equations that obtain the single-layer height related to the specific energy density. The final component is sliced according to the single layer height for a specific depositing condition. In order to verify the suggested method, some blocks were produced according to the slicing approach. The results of this research have shown that by employing this protocol, it would be possible to determine the layer thickness, which is one of the main parameters that should be considered correctly to build a component with accurate dimensions. The only limitation of this protocol that may be considered is the dependence of the outcomes on the type of material, and thus this protocol should be undertaken for every type of material. In addition, to increase the accuracy of the layer thickness setting, the width of the melt pool can also be considered in the protocol. The most important step in the protocol is the measurement of the melt pool geometry so that any error, even small errors, in this step may result in a significant error in the layer thickness setting.
The authors have nothing to disclose.
The authors would like to acknowledge the European research project belonging to the Horizon 2020 research and innovation program Borealis – the 3A energy class Flexible Machine for the new Additive and Subtractive Manufacturing on next generation of complex 3D metal parts
Ti-6Al-4V powder | Xi’Tianrui new material | As starting material | |
ISOMET precision cutter | Bohler | To cut the samples | |
Polishing machine | Presi | To polish the samples | |
EpoFix resin | Presi | To mount the samples | |
Diamond paste | Presi | For polishing | |
Optical Microscope | Leica | Microstructural observation | |
Field emission scanning electron microscope | Merlin-Zeiss | Microstructural observation | |
Stereo microscope | Leica | ||
LEC1- CS444 ANALYSER | IncoTest | Chemical analysis | |
LEC3 – ELTRA OHN2000 ANALYSER | IncoTest | Chemical analysis | |
LEC2 – LECO TC436AR ANALYSER | IncoTest | Chemical analysis | |
ICP | IncoTest | Chemical analysis | |
IRB 4600 | ABB | Antropomorphic robot | |
GTV PF | GTV | Powder feeding system | |
YW 52 | Precitec | Laser head | |
Nozzles | IRIS | Nozzle for feeding powders | |
YLS 3000 | IPG Photonics | Laser source |