On the Extent of Feedstock–System Interaction in Determining the Efficiency of Laser Powder Directed Energy Deposition
Abstract
1. Introduction
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- Material feed system: The material to be deposited, which may be in wire or powder form, is transported to the deposition nozzle. The feed can be automatic or manual, depending on the requirements of the production process.
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- Energy source: The energy source is critical to melting the material. Common options include high power lasers, electron beams, and electric arcs. The concentrated energy melts the material and creates a metallurgical bond between the deposited layers.
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- Movement system: An industrial robot or CNC system is used to position the deposition nozzle with high precision, enabling the construction of parts with complex geometries.
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- Monitoring and control: Advanced sensors monitor critical parameters, such as temperature, deposition speed, and fusion quality. Vision systems and automated software provide real-time control to ensure the quality of the finished part.
2. Metal Powders for LP-DED
2.1. Feedstock Properties
- Particle Size: Particle size plays a fundamental role in the additive manufacturing process. The optimal particle size varies depending on the type of process used and the specific final applications, but it generally ranges from 15 to 150 μm. Smaller particles offer a greater surface area, which increases energy absorption and radiation scattering [49], facilitating fusion between layers and thereby improving surface quality and the density of the final component. However, the use of excessively fine particles may lead to poor powder flow and promote agglomeration, causing difficulties during the deposition process. In contrast, larger particles may result in poor fusion between layers and lower density unless properly managed.
- Particle Size Distribution (PSD): A uniform particle distribution favors better cohesion between particles and more homogeneous powder deposition during the process. Additionally, a distribution that combines particles of different sizes, including both smaller and larger ones, improves flowability and reduces the risk of structural defects, such as porosity or lack of fusion. Optimizing the particle size distribution is therefore critical to achieve components with controlled density and superior quality. Significant variations in particle size distribution may require recalibration of printing parameters to prevent negative impacts on the mechanical properties of the produced components.
- Particle Shape: Spherical particles are generally preferred, as they allow for smooth flow and uniform distribution on the build platform. This morphology also promotes more efficient fusion between particles during heating. However, particles with irregular or acicular shapes, such as needle-like particles, can be used in specific applications to improve the final material’s density. While these particles may behave favorably under certain conditions, they tend to reduce powder flowability and complicate the deposition process.
- Chemical Composition: Impurities or contaminants resulting from powder production or handling can compromise the mechanical properties of the material, reducing resistance, durability, and corrosion resistance in the final component. Therefore, it is essential that metal powders are composed of pure materials and that their chemical composition is strictly controlled to meet the required standards for the final application. The choice of metal alloys should be made based on the technical specifications of the component to be produced. For example, in nickel-based superalloys, the inclusion of elements like Al, Ti, Nb, Ta, V, Cr, Fe, Co, and Mo, along with various trace elements, allows for the desired microstructure and mechanical properties to be achieved [50].
- Density: The apparent density directly influences powder flowability and deposition during the AM process. Powders with a higher apparent density tend to behave better during printing, promoting uniform deposition and reducing the formation of porosity in the final material [51,52]. Conversely, powders with low apparent density can cause fusion defects, compromising the surface quality of the component. Insufficient packing density can lead to high surface roughness and low relative density, negatively impacting the mechanical properties of the component [53]. Additionally, packing density affects the thermal conductivity of the powder bed [54] and the melt bath kinetics [55], as void formation in the powder bed alters heat flow. Therefore, controlling the apparent density is crucial to ensuring the success of the process.
- Flowability: Good powder flow ensures regular deposition and optimal fusion between layers, reducing the risk of defects, such as porosity or lack of fusion. Powder flowability is closely related to its particle shape, size, and surface, making it essential to manage these properties to achieve high-quality results in the AM process. Powders with poor flowability tend to agglomerate due to high resistance to movement, leading to the formation of non-uniform powder layers and low packing density [56]. Flowability and packing density are also influenced by particle shape, with spherical and smooth powders reducing particle friction, thus improving these parameters [57,58].
- Moisture Content: Moisture content is a critical factor. The presence of moisture can lead to oxidation of the metal particles, negatively affecting the melting process and the final component’s quality. Furthermore, moisture can promote the formation of unwanted compounds that compromise the mechanical properties of the material. Therefore, it is essential to store powders in low-humidity environments and treat them adequately to remove moisture traces before use.
- Reactivity and Thermal Stability: Some metals or alloys exhibit greater reactivity at high temperatures, which can lead to undesirable chemical or physical changes during the melting process. In particular, materials like titanium or nickel-based alloys require careful evaluation of their thermal stability to avoid the formation of unwanted phases that may compromise the final product’s characteristics.
- Oxidation Resistance: This issue can compromise the quality of metal powders, especially for metals like titanium, aluminum, and stainless steel. These materials are particularly sensitive to oxidative reactions at high temperatures, resulting in damage to the quality of the powders and the final product. For this reason, it is crucial to protect powders during the AM process and carefully control the printing atmosphere to prevent oxidation. For nickel powders used in AM processes, a significant issue is the oxygen content; the powders have a higher oxygen content than the cast ingot [59], leading to an increased risk of oxide inclusion formation [60], spattering, and balling [61] during the process. Excessive oxygen content can also reduce the ductility of nickel-based superalloy components produced via AM [62].
2.2. Recycling of Metal Powders
- Single Batch and Collective Aging: The single Batch method involves reusing a batch of powder in multiple processing cycles until an insufficient amount of powder remains to complete a print; sieving is performed between cycles to remove larger particles or agglomerates, but no virgin powder is added. The collective aging method is similar to the single batch method but on a larger scale; multiple powder batches are used to print with powder of the same age mixed for subsequent prints.
- Top up: This method involves placing virgin or sieved powder on top of the remaining powder in the chamber to maintain the necessary powder level for the subsequent print; this powder is not mixed with the powder already in the machine, resulting in a layered batch with sections with different processing histories.
- Refreshing: After printing, the unused powder is sieved and mixed with virgin powder, creating a homogeneous blend. This process can be performed after each print or after a certain number of prints, ensuring that there is always enough powder for subsequent prints.
3. Laser–Powder Interaction
3.1. Powder Injection
3.2. Particle Incorporation
3.3. Laser Attenuation
3.4. Spatter Formation
3.5. Effects of the Carrier/Shielding Gas Flow
4. Nozzle Configurations in LP-DED
4.1. Coaxial Nozzles: Design and Performance
4.1.1. Continuous Coaxial Nozzles
- Inward designs ensure powder convergence by bouncing particles off of the extended nozzle walls, enhancing focus at the melt pool. This configuration minimizes the ejecting effects of shielding gases, promoting stable powder distribution.
- Outward designs, often referred to as Extreme High-Speed Laser Material Deposition (EHLA) nozzles, melt the powder above the substrate, allowing for the deposition of liquid metal into the melt pool. This approach significantly increases feed rates, reduces heat input, minimizes distortions, and ensures a reduced heat-affected zone (HAZ). However, EHLA nozzles are less suitable for non-rotational parts and reflective materials like pure copper [135].
4.1.2. Discrete Coaxial Nozzles
- Powder Mass Concentration: The concentration of powder particles at the focal spot is inversely related to the nozzle exit diameter and injection radius. Larger values for these parameters increase the focal spot size, reducing powder concentration.
- Standoff Distance: This parameter negatively correlates with the injection angle and the nozzle exit’s diameter, meaning that an increase in these values shortens the standoff distance and shifts the focal plane closer to the nozzle exit [19].
- Particle Velocity and Catchment Efficiency: The catchment efficiency of discrete coaxial nozzles is generally lower than that of continuous nozzles due to the bouncing effect of powder particles. The lower velocity of powder streams in discrete nozzles (3.76 m/s) compared to continuous nozzles (11.28 m/s) further contributes to this inefficiency [141].
- Deposition Rate and Dilution: Discrete coaxial nozzles have a lower deposition rate (2.173 kg/h) compared to continuous coaxial nozzles (2.485 kg/h). However, they exhibit significantly reduced dilution, with a maximum of 129 μm compared to 506 μm in continuous nozzles [141].
- Multi-Material Capability: One of the primary advantages of discrete coaxial nozzles is their suitability for Functionally Graded Materials (FGMs). The independent control of multiple powder streams allows for localized material composition variations, a capability that is difficult to achieve with continuous nozzles [19].
- Non-Uniform Powder Flow: Unlike continuous coaxial nozzles, discrete designs do not ensure even powder distribution, potentially leading to inconsistencies in the deposited track geometry.
- Lower Catchment Efficiency: Due to the discrete nature of the powder streams, some powder particles fail to enter the melt pool, increasing material waste.
- Dependency on Process Parameters: Achieving optimal deposition quality requires fine-tuning of standoff distance, injection angle, and nozzle orientation
4.2. Off-Axis/Lateral Feed Nozzles: Design and Performance
5. Powder Distribution Behavior and Influence of Process Parameters on Nozzle Performance in LP-DED
5.1. Numerical and Experimental Investigation of Gas-Powder Flow
5.1.1. Simulation Approaches and Findings
- Nozzle A: A highly collimated gas jet was observed, reaching velocities of up to 55 m/s.
- Nozzle B: A broader gas jet with a peak velocity of 9 m/s was reported.
- Nozzle C: The gas jet showed a more diffuse profile with peak velocities of approximately 4.2 m/s.
5.1.2. Experimental Validation
6. Conclusions
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- Powder characteristics must be consistent, and powder reuse strategies can be successfully implemented in LP-DED processes, thus leveraging the sustainability of the overall process.
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- The efficiency of molten metal deposition is governed by process parameters, as well as the localized interactions among powder particles, carrier and shielding gas flows, and the laser beam. Consequently, real-time monitoring and control of these interactions are essential for optimizing process performance and achieving high-quality deposits.
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- Optimized internal geometries improve powder convergence and enhance deposition precision.
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- Surface treatments and material selection significantly influence powder jet stability, with smoother surfaces yielding better focusing.
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- Gas flow control strategies offer potential for enhanced powder delivery efficiency and material utilization.
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- Advanced turbulence modeling enables better predictive control of powder transport, contributing to refined nozzle configurations for industrial applications.
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- These findings provide a robust foundation for continued advancements in LP-DED nozzle designs, paving the way for improved process control, reduced material waste, and enhanced build quality in metal additive manufacturing.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
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---|---|---|---|---|---|---|---|
316L SS | 9 | yes | no | R0: 425 ± 6 | R0: 602 ± 2 | R0: 55 ± 7 | [73] |
R9: 445 ± 4 | R9: 612 ± 2 | R9: 44 ± 2 | |||||
NASA HR-1 | 6 | yes | no | R1: 455 ± 20 | R1: 925 ± 24 | R1: 34 ± 1 | [74] |
R2: 459 ± 27 | R2 961 ± 26 | R2: 34 ± 2 | |||||
R3: 455 ± 33 | R3: 942 ± 37 | R3: 35 ± 2 | |||||
R4: 470 ± 26 | R4 971 ± 25 | R4: 34 ± 2 | |||||
R5: 479 ± 27 | R5: 994 ± 16 | R5: 35 ± 2 | |||||
R6: 470 ± 27 | R6: 983 ± 24 | R6: 35 ± 0 | |||||
Ti-6Al-4V ELI | 3 | yes | no | NA | NA | NA | [75] |
Ti-6Al-4V | 10 | yes | yes | R0 *: 839 ± 3 | R0 *: 975 ± 4 | R0 *: 22.0 ± 0.8 | [72] |
R10 *: 934 ± 6 | R10 *: 1054 ± 5 | R10 *: 20.9 ± 0.5 | |||||
316L SS | NA | yes | yes | R0: 469.6 ± 3.4 628.2 ± 6.6 R# **: 458.4 ± 29.9 | R0: 628.2 ± 6.6 R# **: 651.6 ± 43.9 | R0: 31.2 ± 2.2 R# **: 16.2 ± 2.1 | [76] |
AlSi10Mg *** | Up to 4 | yes | no | R0: 180 ± 23 | R0: 281 ± 15 | R0: 9 ± 1 | [69] |
R1: 174 ± 13 | R1: 149 ± 50 | R1: 5.0 ± 0.8 | |||||
R2: 189 ± 17 | R2: 63 ± 25 | R2: 6 ± 1 | |||||
R3: 195 ± 12 | R3: 168 ± 16 | R3: 5.7 ± 0.8 | |||||
R4: 193 ± 12 | R4: 102 ± 43 | R4: 6.0 ± 0.5 | |||||
UNS S32750 (SAF 2507) | Up to 3 | yes | no | NA | NA | NA | [77] |
Stellite 21 | Up to 3 | yes | no | NA | NA | NA | [77] |
Feedstock | Laser Beam Shape | Nozzle Type | Equipment Configuration | FEM Approach | Numerical Results | Experimental Results | Ref. |
---|---|---|---|---|---|---|---|
Stellite 6 | NA | Coaxial | Precitec YC50 |
| Y | Y | [86] |
316L SS | Top-hat | Coaxial discrete | Optomec 750 LENS | N | Y | [101] | |
NA | Gaussian | Coaxial | NA |
| Y | Y | [115] * |
316L SS | NA | Coaxial | HCX60 five-axis hybrid machine | NA | Y | Y | [139] |
IN718 | NA | Continuous coaxial | NA | 2D axisymmetric Euler–Lagrange model in COMSOL 5.3a; two-phase flow (gas + particles); simulated velocity, density, diameter, focal position | Y | Y | [125] |
316L SS | NA | NA | LENS 500 MTS HM | N | Y | [79] | |
IN718 | NA | Coaxial | RFL-6000 fiber mounted on a KR50-R2100 six-axis robot—LCD-Z12-CW laser deposition head | Modified convolutional neural network (CNN)–long short-term memory (LSTM) model to extract spatio-temporal features like morphology fluctuations and spatter | Y | Y | [122] |
Metco 42C SS | NA | Coaxial | Trumpf DMD505 | Axisymmetric Navier–Stokes + discrete-trajectory model; WENO scheme on refined nonuniform mesh; simulates gas–particle flow and wall collisions in triple coaxial nozzle | Y | Y | [163] |
Ti–6Al–4V | NA | Coaxial | 1000 W laser (900–1070 nm) | Coupled electromagnetic wave heating (EWH) model used to simulate laser–particle interactions; laser modeled as high-frequency EM wave, powder heating computed via Maxwell’s equations and transient heat conduction; output used to modify a double-ellipsoid heat source in ABAQUS for thermal–mechanical analysis of residual distortion | Y | Y | [111] ** |
IN718 | NA | Off-axis | IPG YLS-3000-CL laser (1070 nm) | NA | N | Y | [113] |
Steel 24 | NA | Coaxial | A 500 W CO2 laser on a CNC machine | NA | Y | Y | [83] |
IN718 | NA | NA | NA | NA | Y | Y | [93] *** |
IN625 | Gaussian | Coaxial | DMD—105D, DM3D, 1 kW diode laser | Coupled Eulerian–Lagrangian + VOF models; RANS k-ε for gas flow, discrete phase model for powder dynamics, OpenFOAM melt pool thermo-hydrodynamics using tracked particle data | Y | Y | [95] |
NA | Gaussian | Off-axis + coaxial | NA | Analytical model to study the temperature distribution of the powder particles and their attenuation on the laser energy distribution | Y | N | [106] ** |
IN625 | Gaussian | Off-axis | In-house developed LPF-AM setup |
| Y | Y | [107] ** |
316L SS | From Super-Gaussian to top-hat (numerical) | Coaxial discrete | YLS-5000-S4 (5 kW) laser |
| Y | Y | [81] |
IN718 | NA | Coaxial discrete | Optomec LENS 450 Workstation | Analytical model developed in MATLAB to predict powder stream distribution beneath four-jet LP-DED nozzles
| Y | Y | [84] |
Ti-6Al-4V | Gaussian/Ring (numerical) | Coaxial | NA | High-fidelity model based on the multiphysics ALE3D code, coupled with Cellular Automata Finite Element (CAFE) model for grain growth and DEM for powder flow | Y | Y | [98] |
Steel | Top-hat | Coaxial continuous | NA | NA | N | Y | [97] |
Ni60A | NA | Coaxial | Rofin-FL060 laser, V cladding head, ABB IRB4600 robotic arm |
| Y | Y | [164] |
316L SS | NA | Coaxial | BAMPR + Magic 800 BeAM | NA | N | Y | [165] |
Ti-6Al-4V | Gaussian | Coaxial | NA |
| Y | Y | [166] |
NA | NA | Coaxial discrete | NA |
| Y | N | [167] |
H13 tool steel (atomized powder) | NA | Radially symmetrical nozzles (discrete coaxial + central coaxial for shielding gas) | MultiFab system with four radially symmetrical powder nozzles and a central coaxial shielding nozzle | 3D CFD using FLUENT (discrete phase model), k-ε turbulence model, Lagrangian particle tracking | Y | Y | [85] |
NA | NA | Coaxial nozzle (various outlet geometries) | Custom coaxial nozzles (Nozzle I–V); no carrier gas; FDM-fabricated ABS nozzles used for testing | 3D stochastic Lagrangian model considering non-spherical particle–wall collisions | Y | Y | [151] |
Technoclad 40 s-400 (Ni-Cr-based + WC), Hoganas 1540–00 (Ni-Cr-based), and 316l 20–53 (stainless steel) | NA | Coaxial nozzle with divided powder supply | DLD system with coaxial nozzle featuring separate powder feeding channels | 3D CFD model using OpenFOAM; Eulerian–Lagrangian approach for powder particle tracking | Y | Y | [158] |
NA | NA | Continuous coaxial nozzle with a novel design to mitigate gravity effects | Direct Metal Deposition (DMD) system utilizing the newly designed continuous coaxial nozzle | Computational Fluid Dynamics (CFD) simulations to analyze gas–powder flow dynamics and assess the impact of gravity on powder stream behavior
| Y | Y | [132] |
NA | NA | Coaxial nozzle | Coaxial powder feeding system with internal carrier and shielding gas; laser cladding setup |
| Y | Y | [159] |
Inconel 718 | Gaussian | Continuous coaxial nozzle | Coaxial LMD system | CFD Model | Y | N | [136] |
NA | NA | Coaxial nozzles | NA |
| Y | Y | [160] |
NA | NA | Multi-channel coaxial nozzle | NA |
| Y | Y | [161] |
SS316L | NA | Coaxial nozzle with multi-channels for powder delivery | In-house developed DMD system with a 1.2 kW continuous diode laser; Oerlikon Metco Twin 150 powder feeder used to deliver the powder using argon as an assist gas and helium as the inert (nozzle) gas |
| Y | Y | [162] |
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Santoni, A.; Santecchia, E.; Schiavone, A.M.; Latini, V.; Lascu, B.D.; Stoica, C.R. On the Extent of Feedstock–System Interaction in Determining the Efficiency of Laser Powder Directed Energy Deposition. Metals 2025, 15, 599. https://doi.org/10.3390/met15060599
Santoni A, Santecchia E, Schiavone AM, Latini V, Lascu BD, Stoica CR. On the Extent of Feedstock–System Interaction in Determining the Efficiency of Laser Powder Directed Energy Deposition. Metals. 2025; 15(6):599. https://doi.org/10.3390/met15060599
Chicago/Turabian StyleSantoni, Alberto, Eleonora Santecchia, Anna Maria Schiavone, Valentina Latini, Bogdan Daniel Lascu, and Constantin Romica Stoica. 2025. "On the Extent of Feedstock–System Interaction in Determining the Efficiency of Laser Powder Directed Energy Deposition" Metals 15, no. 6: 599. https://doi.org/10.3390/met15060599
APA StyleSantoni, A., Santecchia, E., Schiavone, A. M., Latini, V., Lascu, B. D., & Stoica, C. R. (2025). On the Extent of Feedstock–System Interaction in Determining the Efficiency of Laser Powder Directed Energy Deposition. Metals, 15(6), 599. https://doi.org/10.3390/met15060599