Directed energy deposition (DED) for additive manufacturing applications is commonly realized by the usage of industrial robots. The DED processing end effectors are usually mounted on industrial robot systems and can, therefore, be moved and oriented in up to many degrees of freedom. However, the design of the powder nozzle and the programming of the robot can limit the movement options. For this reason, translational movements, as with conventional 3D printers, are still common today. The end effector is usually guided horizontal over the component surface although welding in position (PA) is preferred in general. It may be necessary to tilt the end effector in order to gain advantages during processing due to the constrained position. This is particularly advantageous for overhang structures and is often realized with the help of a turn-tilt positioning table in combination with an industrial robot. However, this approach is, in some cases, not possible due to geometrical constrains. To extend applications in this direction, advanced methods for slicing the components and programming the robot movements are necessary. The main aspect of this work is the development, testing, and evaluation of a multidimensional DED manufacturing approach. This is tested on a thin-walled component with defined overhang areas and compared with conventional approaches. Different strategies are assessed in terms of the geometrical match of the target geometry. Influences of strategies on the results are evaluated. It can be shown that multidimensional path planning approaches lead to a better match of the target geometry.

1.
J.-W.
Seo
,
J.-C.
Kim
,
S.-J.
Kwon
, and
H.-K.
Jun
, “
Effects of laser cladding for repairing and improving wear of rails
,”
Int. J. Precis. Eng. Manuf.
20
,
1207
1217
(
2019
).
2.
A.
Kotarska
,
T.
Poloczek
, and
D.
Janicki
, “
Characterization of the structure, mechanical properties and erosive resistance of the laser cladded Inconel 625-based coatings reinforced by TiC particles
,”
Materials
14
,
2225
2241
(
2021
).
3.
A.
Saboori
,
A.
Aversa
,
G.
Marchese
,
S.
Biamino
,
M.
Lombardi
, and
P.
Fino
, “
Application of directed energy deposition-based additive manufacturing in repair
,”
Appl. Sci.
9
,
3316
3342
(
2019
).
4.
X.
Penaranda
,
S.
Moralejo
,
A.
Lamikiz
, and
J.
Figueras
, “
An adaptive laser cladding methodology for blade tip repair
,”
Int. J. Adv. Manuf. Technol.
92
,
4337
4343
(
2017
).
5.
W. E.
Frazier
, “
Metal additive manufacturing: A review
,”
J. Mater. Eng. Perform.
23
,
1917
1928
(
2014
).
6.
H.
Lee
,
C. H. J.
Lim
,
M. J.
Low
,
N.
Tham
,
V. M.
Murukeshan
, and
Y.-J.
Kim
, “
Lasers in additive manufacturing: A review
,”
Int. J. Precis. Eng. Manuf. Green Technol.
4
,
307
322
(
2017
).
7.
H.
Hügel
and
T.
Graf
,
Laser in der Fertigung: Strahlquellen, Systeme, Fertigungsverfahren
, 2., neu be-arb. (
Aufl. Vieweg + Teubner
,
Wiesbaden
,
2009
).
8.
D. M.
Goodarzi
,
J.
Pekkarinen
, and
A.
Salminen
, “
Analysis of laser cladding process parameter influence on the clad bead geometry
,”
Weld. World
61
,
883
891
(
2017
).
9.
W.
Weber
,
Industrieroboter: Methoden der Steuerung und Regelung; mit 33 Übungsaufgaben so-wie einer begleitenden Internetseite, 2., neu bearb. Aufl. Fachbuchverl
(
Leipzig im Carl-Hanser-Verl.
,
München
,
2009
).
10.
P.
Ramiro
,
M.
Ortiz
,
A.
Alberdi
, and
A.
Lamikiz
, “
Strategy development for the manufacturing of multilayered structures of variable thickness of Ni-based alloy 718 by powder-Fed directed energy deposition
,”
Metals
10
,
1280
(
2020
).
11.
M.
Schmidt
,
K.
Partes
,
O.
Kahmen
, and
M.
Loegel
,
Robotergeführtes Laserstrahlpulverauftragschweißen – Einfluss der Bearbeitungsstrategien auf die Bauteilgeometrie
(
DVS Congress 2023
,
Große Schweißtechnische Tagung
,
2023
).
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