The epitaxial growth of coarse and columnar grain structures along the build direction of additive manufactured metals is a usual phenomenon. As a result, as-built components often exhibit pronounced anisotropic mechanical properties, reduced ductility, and, hence, a high cracking susceptibility. To enhance the mechanical properties and processability of additive manufactured parts, the formation of equiaxed and fine grained structures is thought to be most beneficial. In this study, the potential of grain refinement by ultrasonic excitation of the melt pool during laser wire additive manufacturing has been investigated. An ultrasound system was developed and integrated in a laser wire deposition machine. AISI 316L steel was used as a substrate and feedstock material. A conversion of coarse, columnar grains (dm = 284.5 μm) into fine, equiaxed grains (dm = 130.4 μm) and a weakening of typical <100>-fiber texture with increasing amplitude were verified by means of light microscopy, scanning electron microscopy, and electron backscatter diffraction analysis. It was demonstrated that the degree of grain refinement could be controlled by the regulation of ultrasound amplitude. No significant changes in the dendritic structure have been observed. The combination of sonotrode/melt pool direct coupling and the laser wire deposition process represents a pioneering approach and promising strategy to investigate the influence of ultrasound on grain refinement and microstructural tailoring.

Additive manufacturing (AM) is substantially shifting the paradigm in global manufacturing. The possibilities of AM open the door to unique opportunities in part design like multimaterial builtups in functional components, hybrid components, lightweight design, or functionally graded materials.1 Among the laser-based AM processes, direct energy deposition (L-DED) with wire has demonstrated immense potential for the fabrication of near-net shape, large-scale industrial components. This can be attributed to the access to a standardized feedstock material, efficient feedstock utilization, and weaker safety requirements compared to its powder-based variant.2 

Overcoming the inherent thermal conditions of this manufacturing process could yield additional exploitation capabilities of its potential. Typically, the rapid cooling of the melt pool coupled with a highly directional heat flux via the substrate material results in a steep temperature gradient throughout the part. Consequently, epitaxial growth of crystals during solidification is triggered, and the formation of coarse columnar grain structures parallel to the build direction is induced.3,4 Grains can extend over several deposition layers and may develop a distinct texture corresponding to the fastest crystallographic growth direction (<100> for cubic and <1010> for hexagonal alloys5). Additionally, heterogeneity in solute distribution and strong element segregation originating from directional solidification contributes to the formation of brittle and low melting point second phases in interdendritic regions. A prime example constitutes the IN718 alloy that forms the low melting Laves-phase in these regions.6,7 It is evident that the aforementioned process environment severely compromises the performance of as-built components and causes strong anisotropy of the mechanical properties.3,4 The ability to effectively and locally tailor grain size and morphology and to eliminate the texture is, therefore, a highly desirable goal. This could not only give rise to materials with higher fatigue resistance, strength, toughness, and ductility, but it is also proven that grain refinement can significantly reduce the cracking susceptibility, for instance, in Al or Ni alloys.8–10 Furthermore, novel design approaches like on-demand grading of mechanical properties may become possible.

While the phenomenon responsible for the formation of columnar grains has been comprehensively investigated, appropriate approaches to counteract this issue are still lacking. In the past, the formation of coarse solidification structures has been efficiently tackled by either thermomechanical processing11–13 or introduction of nucleant particles into the melt pool.14,15 However, the machining of intricate AM-components does require complex and impractical process setups. Introducing nucleant particles into the melt imply a change in composition of the parent alloy and could cause clusters that are not fully melted during fabrication.15,16 It is also to mention that the above listed methods do not offer the option for controlled grain structure grading. Therefore, industry and academia still lack a standard procedure that provides tools to local and in situ control and modify the microstructure of AM-parts on-demand without chemical adjustments of the alloy compositions, nucleating agents, or additional processing.

The utilization of ultrasonic (US) excitation of melt pools in casts or welds already proved to be a promising alternative for the promotion of equiaxed grains with a weakened texture. Li et al., for example, achieved a reduction in grain size of chill casted 2219 Al ingots by introducing three 20 kHz ultrasonic generators into the melt pool with a peak-to-peak amplitude of 20 μm.17 Nabahat et al. demonstrated a similar effect on microstructural features during ultrasound-assisted tungsten inert gas welding of AISI 321 stainless steel.18 Recently, Todaro et al. adopted the method for a powder L-DED process.19 It was found that a substantial grain refinement of Ti6Al4V and IN625 specimens was realized by vibrational excitation of the substrate plate with a 20 kHz ultrasound. The same research group analyzed the response of AISI 316L steel to ultrasound excitation during powder-DED.20 The study revealed that ultrasound assistance leads to columnar-to-equiaxed transition of grain structure and to the weakening of the typical <100>-fiber texture. Furthermore, Yuan et al. have proven that the grain structure of Ti6Al4V and ER321 austenitic steel can successfully be influenced during L-DED with wire.21,22 They used a sonotrode probe guided behind the wire process head with an offset to transmit vibrations into the workpiece surface and excite the molten pool. Those ultrasonic waves with sufficiently high intensity induce cavitation, and acoustic streaming in fluids has been well established.23,24 Yet, whether these effects are triggered in metal melts during AM and to which extend it affects solidification are still topics extensively discussed and investigated in the literature. One effect that has been proposed as a major factor and tries to elucidate the effect of ultrasonic excitation on grain formation is the fragmentation theory. Da Shu et al. suggested that mainly shockwaves created by the collapse of cavitation bubbles lead to the fragmentation of dendrite arms.25 More recent studies from Wang et al. also propose that quasi-steady state oscillating bubbles in the vicinity of dendrite arms play a significant role.26 These bubbles induce an alternating bending motion on dendrite arms and initiate a fatigue fragmentation effect. In both cases, the fragments will ultimately act as nucleation sites and form new grains ahead of the solidification front. That way directional solidification is interrupted, and a more isotropic, equiaxed, and finer structure is generated. Furthermore, Wu et al. found that acoustic streaming might support stirring of the melt pool and promote a more homogenous distribution of elements, and hence, it suppresses major segregations.27 

In the study proposed in this paper, the use of high-intensity ultrasound-assisted L-DED with wire was explored, and the influence of ultrasound amplitude on grainsize, -morphology, and -texture was investigated to gain further insight into the possibilities for microstructural tailoring. The substrate was directly linked with the US-device and agitated in its entirety. Unlike powder L-DED, the feedstock material and the agitated melt pool in this process are in constant contact during processing, resulting in a relative motion of feedstock and agitated melt. This might assist stirring of the melt pool and could offer additional exploitation potential. The combination of wire L-DED and holistic US-assistance described here presents a unique new approach to investigate the influence of US. Because of its industrial significance and commercial accessibility, AISI 316L steel was used as a benchmark substrate and feedstock material.

The wire L-DED experiments were carried out in a modified 5-axis AM-machine of the 19389 MTH (Arnold Ravensburg) type. The general setup and the high-intensity ultrasonic system are presented in Fig. 1(a). A COAXwire deposition system from Fraunhofer IWS was utilized. The process head comprises a centrically aligned wire feeding system and three integrated coaxial partial laser beams, which are focused toward the feedstock material. This offers improved geometrical freedom and directionally independent deposition. The laser source used in this study was a 4 kW LDF4030 diode laser (Laserline GmbH Germany).

FIG. 1.

Layout of the system setup (a) and the US-device (b). The sonotrode simultaneously represents the substrate.

FIG. 1.

Layout of the system setup (a) and the US-device (b). The sonotrode simultaneously represents the substrate.

Close modal

The US-system was custom-developed in cooperation with the company BANDELIN electronic GmbH & Co.KG. It is essentially composed of three components: the transducer for the translation of the electrical signal from the US-generator (400 W) into mechanical oscillation, the booster for amplitude regulation, and the sonotrode that represents the substrate material in this setup. Therefore, printed parts and the sonotrode are directly linked, and vibrations are transmitted with minimal attenuation into the melt pool.

The US-device was fixated onto a machine table by two screw clamps and positioned under the wire process head. A maximum amplitude of 21 μm was achievable with this setup. During the L-DED process, the transducer oscillated longitudinally with 20 kHz. Hence, the substrate was agitated transversally. If cavitation is presumed as a factor for grain refinement, the following equation evidences that the produced intensity should satisfy the criterion for cavitation:28,
I = 1 2 ρ c ( 2 π f ) 2 A 2 ,
(1)
where I represents the ultrasonic intensity, ρ represents the density of the molten pool, c represents the velocity of sound through the molten pool, f represents the ultrasonic frequency, and A represents the wave amplitude. Assuming ρ ∼ 7050 kg/m³,29, c ∼ 4200 m/s,30, f = 20 kHz, and A = 12 μm, a value of I = 3367 W/cm² can be approximated for molten steel. The cavitation threshold value of I ∼ 100 W/cm² (Ref. 23) for light metal liquids is, therefore, exceeded. It can be expected that an intensity value of two orders of magnitude higher than the threshold value for light metals should be sufficient to induce cavitation in steel melts at amplitudes selected. A schematic illustration of the fundamental process is depicted in Fig. 2(a).
FIG. 2.

Schematic representation of ultrasound-assisted L-DED using the COAXwire process head (a), welding strategy of wall specimens (b), and an exemplary image of wire L-DED specimens (c). The yellow boxes in (c) highlight the areas of scanning electron microscopy (SEM) and electron backscatter diffraction (EBSD) analysis.

FIG. 2.

Schematic representation of ultrasound-assisted L-DED using the COAXwire process head (a), welding strategy of wall specimens (b), and an exemplary image of wire L-DED specimens (c). The yellow boxes in (c) highlight the areas of scanning electron microscopy (SEM) and electron backscatter diffraction (EBSD) analysis.

Close modal

Three single track wall samples were printed analogical to the strategy shown in Fig. 2(b). Each sample was manufactured with different ultrasonic amplitudes (A = 0, 12, and 21 μm). The wall sample consisted of 10 (A = 12 and 21 μm) to 13 (A = 0 μm) layers. Therefore, the height of the walls varied between 5 and 7 mm. To compensate for the additional heat input from the acoustic energy, laser power was incrementally (first layer, second layer, and fifth layer) reduced during printing (600, 550, and 500 W). Start and stop of the wire feeding for each layer were performed with an offset of 0.1 mm per layer. In this way, it was ensured that the material was only delivered when the process head was above the previous printed layer and a collision of the wire material and previous layers could be avoided.

As a result, the track length was reduced successively with each layer creating an overall reduction of 0.2 mm per layer. The process parameters used are summarized in Table I. Figure 2(c) exemplifies the fabricated wall samples.

TABLE I.

Parameter sets for US-assisted LWA of wall structures.

Parameters for wall samples
Laser power 1st layer: 600 W
>2nd layer: 550 W
>5th layer: 500 W 
Laser spot size 3 mm 
Welding speed 450 mm/min 
Wire feed rate 580 mm/min 
Ultrasonic amplitude 0, 12, and 21 μ
Shielding gas Ar 
Parameters for wall samples
Laser power 1st layer: 600 W
>2nd layer: 550 W
>5th layer: 500 W 
Laser spot size 3 mm 
Welding speed 450 mm/min 
Wire feed rate 580 mm/min 
Ultrasonic amplitude 0, 12, and 21 μ
Shielding gas Ar 

AISI 316L austenitic steel was chosen as a substrate and wire material. Substrate plates had a thickness of 20 mm and a diameter of 70 mm. The diameter of the wire material was 1 mm. The chemical composition of the material is given in Table II. The microstructural assessment of the samples was conducted in their as-built state.

TABLE II.

Nominal composition of AISI 316L in at. %.31 

FeCCrNiMoMnSiN
316L Bal. 0.02 16.4 10.5 2.1 1.80 0.5 0.03 
FeCCrNiMoMnSiN
316L Bal. 0.02 16.4 10.5 2.1 1.80 0.5 0.03 

The metallographic analysis was performed by means of the scanning electron microscope (SEM) JEOL JSM-7800F (Akishima, Japan) including electron backscattered diffraction (EBSD) using a NordlysNano EBSD detector (Oxford Instruments, Abingdon, UK) together with light microscope Olympus GX51 (Tokio, Japan). For microstructural investigations, the cladded samples were cut and mounted using a cold mounting epoxy resin. The samples were ground with a SiC abrasive paper, wet-polished using a diamond polishing suspension, and finally vibratory polished for multiple hours using Al and Si oxide polishing suspensions. For light microscopic investigations, the samples were etched using an etching solution Kalling II consisting of 100 ml H2O, 100 ml HCl (32%), and 5 g CuCl2 of etching additives.

EBSD scans were performed on the samples tilted by 70° with a step size of 1.5 μm, and the acquired data were analyzed with AZtecCrystal software (Oxford Instruments, Abingdon, UK). For the grain size analysis, the misorientation threshold was set to T ≥ 10°, and very small grains with less than 100 pixels were excluded from calculations.

The optical micrographs of the deposited wall specimens after etching are depicted in Fig. 3. It was observed that due to the additional energy input by ultrasound excitation, the geometry of the built samples was affected. This is reflected in the increased width of the wall specimens. The single layers of the deposited wall specimens are clearly visible in the depicted cross sections of Fig. 3. For samples manufactured without ultrasound assistance, some coarse columnar grains extending over several deposition layers in build direction can be observed on the etched specimen surface. However, the excessive growth of such grains was not found in the samples manipulated by the ultrasound.

FIG. 3.

Light microscopy cross sections of the specimens deposited (a) without ultrasound assistance (A = 0 μm) and with ultrasound assistance (b) A = 12 μm as well as (c) A = 21 μm.

FIG. 3.

Light microscopy cross sections of the specimens deposited (a) without ultrasound assistance (A = 0 μm) and with ultrasound assistance (b) A = 12 μm as well as (c) A = 21 μm.

Close modal

Regardless of the degree of ultrasound excitation, all investigated samples exhibited a dendritic microstructure after deposition (Fig. 4). Exemplary EBSD phase-analysis of the specimen produced with ultrasound stimulation at A = 21 μm reveals a dual phase structure, Fig. 4(d).

FIG. 4.

SEM-BSE (back-scattered electron) micrographs of the specimens deposited (a) without ultrasound assistance (A = 0 μm) and with ultrasound assistance (b) A = 12 μm as well as (c) A = 21 μm; (d) the EBSD phase map of the specimen manufactured with ultrasound assistance at A = 21 μm.

FIG. 4.

SEM-BSE (back-scattered electron) micrographs of the specimens deposited (a) without ultrasound assistance (A = 0 μm) and with ultrasound assistance (b) A = 12 μm as well as (c) A = 21 μm; (d) the EBSD phase map of the specimen manufactured with ultrasound assistance at A = 21 μm.

Close modal

It consists of γ-austenite (fcc) and residual δ-ferrite (bcc), which is typical for AISI 316L steel due to its ferrite-austenite solidification mode.32,33 As a consequence of high cooling rates during the L-DED process, diffusion-controlled δ-ferrite dissolution is hampered. This results in a relatively high δ-ferrite content of approximately 4% for all investigated samples determined by means of EBSD analysis.

No significant influence of ultrasonic excitation on morphology and distribution of dendritic networks was observed by means of SEM analysis. Considering the impact of ultrasound excitation on the grain structure and the texture of the manufactured samples, they were analyzed in detail by means of EBSD technique. The orientation maps of the samples produced with and without ultrasound excitation are shown in Fig. 5. All samples were analyzed in the middle of the deposited wall specimens. Figure 5(a) highlights that for the sample produced without ultrasound stimulation, a significantly pronounced elongation of columnar grains in the build direction can be observed. By increasing the ultrasound amplitude from A = 12 μm [Fig. 5(b)] to A = 21 μm [Fig. 5(c)], the grain structure became finer and more equiaxed. This can be further reinforced by grain size analysis from the acquired EBSD-data.

FIG. 5.

EBSD orientation maps of the samples deposited (a) without ultrasound assistance (A = 0 μm) and with ultrasound assistance (b) A = 12 μm as well as (c) A = 21 μm; black lines represent the grain boundaries with a misorientation angle ≥ 10°.

FIG. 5.

EBSD orientation maps of the samples deposited (a) without ultrasound assistance (A = 0 μm) and with ultrasound assistance (b) A = 12 μm as well as (c) A = 21 μm; black lines represent the grain boundaries with a misorientation angle ≥ 10°.

Close modal

Figure 6(a) represents the area-weighted grain size distribution of the samples manufactured with and without ultrasound assistance. Specifically, for the specimen produced with a higher ultrasonic amplitude of A = 21 μm, it is evident that the fraction of large grains with equivalent circle diameter d > 300 μm disappears.

FIG. 6.

(a) Grain size statistics calculated from acquired EBSD data (Fig. 5) for different samples with and without ultrasound assistance (d = equivalent circle diameter; a = aspect ratio of the equivalent ellipse); (b) pole figures calculated from EBSD data representing the texture of samples with and without ultrasound assistance.

FIG. 6.

(a) Grain size statistics calculated from acquired EBSD data (Fig. 5) for different samples with and without ultrasound assistance (d = equivalent circle diameter; a = aspect ratio of the equivalent ellipse); (b) pole figures calculated from EBSD data representing the texture of samples with and without ultrasound assistance.

Close modal

The area-weighted mean grain size decreases from dm = 284.5 μm for specimen without ultrasound excitation to dm = 182.5 μm for specimen with A = 12 μm and further to dm = 130.4 μm for specimen with A = 21 μm. Attributed to the heat flux toward the substrate, solidification of wire L-DED wall specimens is highly directional. An aspect ratio of grain shapes can provide a good insight into the possible effect of ultrasound assistance. The calculated data provided in Fig. 6(a) reveal that only a slight decrease in the aspect ratio for the specimen with A = 21 μm was observed; however, for the specimen with A = 12 μm, no significant changes have been noticed and even a slight increase from a = 2.5 to a = 2.6 has been recorded.

The texture analysis of the acquired EBSD data reveals a generally great impact of ultrasound excitation on the solidification behavior of the investigated AISI 316L steel compared to the characteristic microstructure without ultrasonic assistance.4,34 Figure 6(b) shows pole figures of the samples in different conditions. The sample manufactured without ultrasound excitation exhibits a strong cube texture. This so called <100>-fiber texture is typical for fcc-metals in the case of directional solidification, which also applies for L-DED manufactured wall specimens in current investigations.35 Specifically, for specimen with the highest ultrasonic amplitude of A = 21 μm, a significant randomization of the grain orientation can be observed.

Todaro et al. used a similar setup to investigate the effects of ultrasonic excitation during powder L-DED of AISI 316L.20 Notably, they observed significantly smaller grains without application of ultrasound, with dm = 52 μm; this is likely due to different process parameters.20 Smaller laser spot size, lower laser power, and higher welding speed result in significantly higher cooling rates.36 Additionally, cuboid samples result in a bigger area available for heat conduction due to overlapping tracks, improving the cooling.34 The ultrasonic excitation with an amplitude of 30 μm and a frequency of 20 kHz in 20 resulted in dm = 16 μm,20 a reduction in grain size of ∼70% compared to ∼54% achieved in this work. This, however, matches well with the observation of a more pronounced effect with an increasing amplitude.

Other works differ in the deposited material, the type of feedstock used, the method of ultrasonic excitation, the sample geometry, the utilized process parameters, or the examined properties. Therefore, a direct comparison proves difficult. Despite these differences, Todaro et al.19 and Yuan et al.21,22 have shown the same general results of reduced grain size, lower aspect ratio, and suppression of the <100>-fiber texture., To the best of the authors' knowledge, no other work on ultrasonically assisted laser-DED has presented the degree of ultrasonic influence in relation to the amplitude shown here.

In the current study, a new setup for ultrasonic assisted L-DED with wire was established, and the influence of ultrasound excitation on the microstructure of the processed AISI 316L steel has been analyzed. The following conclusions based on the key results can be drawn:

  • It could be confirmed that the holistic excitation of the substrate material by direct linking of the US-device and substrate provides an effective method to transmit ultrasonic vibrations into components during L-DED. However, unique process challenges like controlled wire conveying, additional acoustic energy, and structural damping effects become prevalent utilizing this US excitation strategy.

  • All produced specimens exhibited a dendritic microstructure, composed of γ-austenite matrix and residual δ-ferrite, which is typical for fast solidified AISI 316L steel. The ultrasound excitation does not have a significant impact on dendritic solidification and δ-ferrite network size and distribution.

  • The ultrasound excitation induces structural changes from a coarse and strongly columnar microstructure to a finer and more equiaxed structure. For the highest ultrasound amplitude, the smallest grain size could be obtained.

  • The ultrasound excitation had a great impact on the texture of the manufactured samples. A randomization of the predominant <100>-fiber texture can be realized by increasing the amplitude of ultrasound excitation.

In summary, a positive effect of ultrasound-assisted L-DED processing of AISI 316L wire on grain refinement and prevention of strong fiber texture has been demonstrated. The impact became more pronounced with the increased amplitude of ultrasonic excitation. A more thorough investigation of the responsible mechanism is required to better understand the principles of grain refinement for the investigated material and system setup. The “global” excitation of the whole substrate and, therefore, the AM part is an easy and reliable way to verify the US-effects. However, the implementation of this method for large industrial components might be a tall order. Structural attenuation and changing resonance frequencies of the deposited material can pose a problem. A variant for local ultrasonic excitation of the melt pool should be assessed in detail in the future. This could push the potential of US assistance in AM even further.

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

The authors have no conflicts to disclose.

Maximilian Heidowitzsch: Data curation (equal); Validation (equal); Visualization (equal); Writing – original draft (lead). Leonid Gerdt: Formal analysis (equal); Investigation (equal); Methodology (equal); Visualization (equal); Writing – original draft (equal). Conrad Samuel: Investigation (equal); Project administration (equal); Writing – review & editing (equal). Jacob-Florian Maetje: Investigation (equal); Methodology (equal); Validation (equal); Visualization (equal); Writing – review & editing (equal). Jörg Kaspar: Conceptualization (equal); Data curation (equal); Formal analysis (equal); Supervision (equal); Writing – review & editing (equal). Mirko Riede: Funding acquisition (equal); Supervision (equal); Writing – review & editing (equal). Elena López: Funding acquisition (equal); Supervision (equal); Writing – review & editing (equal). Frank Brueckner: Funding acquisition (equal); Supervision (equal); Writing – review & editing (equal). Christoph Leyens: Funding acquisition (equal); Resources (equal); Supervision (equal); Writing – review & editing (equal).

The data that support the findings of this study are available within the article and from the corresponding author upon reasonable request.

1.
M. K.
Thompson
,
G.
Moroni
,
T.
Vaneker
,
G.
Fadel
,
R. I.
Campbell
,
I.
Gibson
,
A.
Bernard
,
J.
Schulz
,
P.
Graf
,
B.
Ahuja
, and
F.
Martina
, “
Design for additive manufacturing: Trends, opportunities, considerations, and constraints
,”
CIRP Ann.
65
,
737
760
(
2016
).
2.
D.-G.
Ahn
, “
Directed energy deposition (DED) process: State of the art
,”
Int. J. Precis. Eng. Manuf.-Green Technol.
8
,
703
742
(
2021
).
3.
Y.
Kok
,
X. P.
Tan
,
P.
Wang
,
M. L. S.
Nai
,
N. H.
Loh
,
E.
Liu
, and
S. B.
Tor
, “
Anisotropy and heterogeneity of microstructure and mechanical properties in metal additive manufacturing: A critical review
,”
Mater. Des.
139
,
565
586
(
2018
).
4.
P.
Bajaj
,
A.
Hariharan
,
A.
Kini
,
P.
Kürnsteiner
,
D.
Raabe
, and
E. A.
Jägle
, “
Steels in additive manufacturing: A review of their microstructure and properties
,”
Mater. Sci. Eng. A
772
,
138633
(
2020
).
5.
S.
Kou
,
Welding Metallurgy
,
2nd ed.
(
Wiley-Interscience
,
Hoboken
,
NJ
,
2003
).
6.
Y.
Chen
,
K.
Zhang
,
J.
Huang
,
S. R. E.
Hosseini
, and
Z.
Li
, “
Characterization of heat affected zone liquation cracking in laser additive manufacturing of Inconel 718
,”
Mater. Des.
90
,
586
594
(
2016
).
7.
C.
Kumara
,
A. R.
Balachandramurthi
,
S.
Goel
,
F.
Hanning
, and
J.
Moverare
, “
Toward a better understanding of phase transformations in additive manufacturing of Alloy 718
,”
Materialia
13
,
100862
(
2020
).
8.
J.
Xu
,
Y.
Ding
,
Y.
Gao
,
H.
Wang
,
Y.
Hu
, and
D.
Zhang
, “
Grain refinement and crack inhibition of hard-to-weld Inconel 738 alloy by altering the scanning strategy during selective laser melting
,”
Mater. Des.
209
,
109940
(
2021
).
9.
G.
Langelandsvik
,
O. M.
Akselsen
,
T.
Furu
, and
H. J.
Roven
, “
Review of aluminum alloy development for wire arc additive manufacturing
,”
Materials
14
,
5370
(
2021
).
10.
C.
Guo
,
G.
Li
,
S.
Li
,
X.
Hu
,
H.
Lu
,
X.
Li
,
Z.
Xu
,
Y.
Chen
,
Q.
Li
,
J.
Lu
, and
Q.
Zhu
, “Additive manufacturing of Ni-based superalloys: Residual stress, mechanisms of crack formation and strategies for crack inhibition,”
Nano Mater. Sci.
5(1), 53–77 (
2022
).
11.
V. R.
Duarte
,
T. A.
Rodrigues
,
N.
Schell
,
R. M.
Miranda
,
J. P.
Oliveira
, and
T. G.
Santos
, “
Hot forging wire and arc additive manufacturing (HF-WAAM)
,”
Addit. Manuf.
35
,
101193
(
2020
).
12.
X.
Xu
,
S.
Ganguly
,
J.
Ding
,
C. E.
Seow
, and
S.
Williams
, “
Enhancing mechanical properties of wire + arc additively manufactured INCONEL 718 superalloy through in-process thermomechanical processing
,”
Mater. Des.
160
,
1042
1051
(
2018
).
13.
D.
Wu
,
C.
Yu
,
Q.
Wang
,
F.
Niu
,
G.
Ma
,
H.
Wang
,
C.
Zhou
, and
B.
Zhang
, “
Synchronous-hammer-forging-assisted laser directed energy deposition additive manufacturing of high-performance 316L samples
,”
J. Mater. Process. Technol.
307
,
117695
(
2022
).
14.
X.
Pan
and
C.
Qiu
, “
Promoting columnar-to-equiaxed transition in AlCoCrFeNi high entropy alloy during selective laser melting by adding Cr3C2
,”
Mater. Res. Lett.
10
,
788
796
(
2022
).
15.
A.
Durga
,
N. H.
Pettersson
,
S. B. A.
Malladi
,
Z.
Chen
,
S.
Guo
,
L.
Nyborg
, and
G.
Lindwall
, “
Grain refinement in additively manufactured ferritic stainless steel by in situ inoculation using pre-alloyed powder
,”
Scr. Mater.
194
,
113690
(
2021
).
16.
M. Y.
Mendoza
,
P.
Samimi
,
D. A.
Brice
,
B. W.
Martin
,
M. R.
Rolchigo
,
R.
LeSar
, and
P. C.
Collins
, “
Microstructures and grain refinement of additive-manufactured Ti-xW alloys
,”
Metall. Mater. Trans. A
48
,
3594
3605
(
2017
).
17.
R.
Li
,
Z.
Liu
,
F.
Dong
,
X.
Li
, and
P.
Chen
, “
Grain refinement of a large-scale Al alloy casting by introducing the multiple ultrasonic generators during solidification
,”
Metall. Mater. Trans. A
47
,
3790
3796
(
2016
).
18.
M.
Nabahat
,
K.
Ahmadpour
, and
T.
Saeid
, “
Effect of ultrasonic vibrations in TIG welded AISI 321 stainless steel: Microstructure and mechanical properties
,”
Mater. Res. Express
5
,
096509
(
2018
).
19.
C. J.
Todaro
,
M. A.
Easton
,
D.
Qiu
,
D.
Zhang
,
M. J.
Bermingham
,
E. W.
Lui
,
M.
Brandt
,
D. H.
StJohn
, and
M.
Qian
, “
Grain structure control during metal 3D printing by high-intensity ultrasound
,”
Nat. Commun.
11
,
142
(
2020
).
20.
C. J.
Todaro
,
M. A.
Easton
,
D.
Qiu
,
M.
Brandt
,
D. H.
StJohn
, and
M.
Qian
, “
Grain refinement of stainless steel in ultrasound-assisted additive manufacturing
,”
Addit. Manuf.
37
,
101632
(
2021
).
21.
D.
Yuan
,
S.
Shao
,
C.
Guo
,
F.
Jiang
, and
J.
Wang
, “
Grain refining of Ti-6Al-4V alloy fabricated by laser and wire additive manufacturing assisted with ultrasonic vibration
,”
Ultrason. Sonochem.
73
,
105472
(
2021
).
22.
D.
Yuan
,
X.
Sun
,
L.
Sun
,
Z.
Zhang
,
C.
Guo
,
J.
Wang
, and
F.
Jiang
, “
Improvement of the grain structure and mechanical properties of austenitic stainless steel fabricated by laser and wire additive manufacturing assisted with ultrasonic vibration
,”
Mater. Sci. Eng. A
813
,
141177
(
2021
).
23.
G. I.
Eskin
and
D. G.
Eskin
,
Ultrasonic Treatment of Light Alloy Melts
(
CRC Press
,
Baton Rouge
,
2015
).
24.
U. A.
Peuker
,
U.
Hoffmann
,
U.
Wietelmann
,
S.
Bandelin
, and
R.
Jung
,
Ullmann's Encyclopedia of Industrial Chemistry
(
Wiley-VCH Verlag GmbH & Co. KGaA
,
Weinheim
,
2000
).
25.
D.
Shu
,
B.
Sun
,
J.
Mi
, and
P. S.
Grant
, “
A high-speed imaging and modeling study of dendrite fragmentation caused by ultrasonic cavitation
,”
Metall. Mater. Trans. A
43
,
3755
3766
(
2012
).
26.
S.
Wang
,
J.
Kang
,
Z.
Guo
,
T. L.
Lee
,
X.
Zhang
,
Q.
Wang
,
C.
Deng
, and
J.
Mi
, “
In situ high speed imaging study and modelling of the fatigue fragmentation of dendritic structures in ultrasonic fields
,”
Acta Mater.
165
,
388
397
(
2019
).
27.
D.
Wu
,
C.
Song
,
T.
Di
,
F.
Niu
, and
G.
Ma
, “
Intermetallic regulation mechanism of inconel 718/Ti6Al4V composite by novel follow-up ultrasonic assisted laser additive manufacturing
,”
Compos. Part B Eng.
235
,
109736
(
2022
).
28.
G.
Eskin
and
D.
Eskin
,
Ultrasonic Treatment of Light Alloy Melts
(CRC Press, Boca Raton, FL,
2014
).
29.
M.
Rywotycki
,
Z.
Malinowski
,
J.
Giełżecki
, and
A.
Gołdasz
, “
Modelling liquid steel motion caused by electromagnetic stirring in continuous casting steel process
,”
Archiv. Metall. Mater.
59
,
487
492
(
2014
).
30.
S.
Blairs
, “
Sound velocity of liquid metals and metalloids at the melting temperature
,”
Phys. Chem. Liquids
45
,
399
407
(
2007
).
31.
M. F.
McGuire
,
Stainless Steels for Design Engineers
(
ASM International
,
Materials Park
,
OH
,
2008
).
32.
B.
Arh
,
F.
Tehovnik
, and
F.
Vode
, “
Transformation of the δ-ferrite in SS2343 austenitic stainless steel upon annealing at 1050 °C, 1150 °C and 1250 °C
,”
Metals
11
,
935
(
2021
).
33.
X.
Li
,
F.
Gao
,
J.
Jiao
,
G.
Cao
,
Y.
Wang
, and
Z.
Liu
, “
Influences of cooling rates on delta ferrite of nuclear power 316H austenitic stainless steel
,”
Mater. Charact.
174
,
111029
(
2021
).
34.
M. A.
Belsvik
,
W. M.
Tucho
, and
V.
Hansen
, “
Microstructural studies of direct-laser-deposited stainless steel 316L-Si on 316L base material
,”
SN Appl. Sci.
2
, 1967 (
2020
).
35.
S.
Suwas
and
R. K.
Ray
,
Crystallographic Texture of Materials
(
Springer London
,
London
,
2014
).
36.
J.
Jeong
,
S.
Webster
,
S.
Liao
,
J.-E.
Mogonye
,
K.
Ehmann
, and
J.
Cao
, “
Cooling rate measurement in directed energy deposition using photodiode-based planck thermometry (PDPT)
,”
Addit. Manuf. Lett.
3
,
100101
(
2022
).