2.2. Efects of Process
Design and Parameters

Localized heat transfer,
especially in the HAZ

can result in

layer re-melting

numerous reheating
cycles

both of which can change
the microstructure by

tempering

aging

There are many DLD process parameters that affect the thermal history (and thus microstructure,
residual stress, etc.) of the part, such as:

powder feed rate

laser power

laser substrate relative
traverse speed

laser scanning
strategy

As discussed in Part 1,
these parameters

affect

melt pool shape

incident energy

and consequently
affect

cooling rate

local thermal
gradients

2.2.1. Process
Parameters

The combination of

higher traverse velocity

lower laser power

results in

lower incident energy
at the top of the part

typically resulting in finer
microstructures due to

higher cooling
rates

In contrast,

results in

higher incident energy
at the top of the part

typically resulting in coarser
microstructures due to

lower cooling
rates

decreains traverse speed

increasing laser power

During the DLD process, the majority of
sensible incident energy is transferred via
conduction through the deposited structure [32]

Heat is quickly conducted away by the
substrate at the bottom of the sample

whereas convection and radiation become
more prevalent at the top [57]

Since relatively high cooling rates occur near the
substrate or through previously deposited layers

forming highly directional
columnar structures

Powder feed rate

Has an immediate impact on the distribution of powder density in the melt pool (deposited mass flow rate) [90] and thus layer height and microstructures during DLD.

For a fixed powder feed rate, the amount of powder that is injected into the melt pool varies for different laser scanning directions because of the distance between the powder stream and laser spot

Depending on the scanning direction, the powder
injection point may be (OR) the laser spot (fig 3)

ahead

behind

To maintain a constant
deposited mass flow rate

the powder feed rate and

laser scanning velocity

can be adjusted based on

scan direction and

the distance between laser beam and powder
nozzle (other methods described in section 4)

Adding to this complexity is the
dynamics of the DLD process

change in the relative positions of the
laser beam and powder injection point as

parts become taller
due to deposition

⭐ Therefore, any process optimization
and control scheme should be designed
in a time-varying fashion that accounts for

the height of the
deposited layer

Shielding gas
flow rate

also affects the amount of powder
injected into the melt pool

Experimental studies demonstrate that
layer height increases with gas flow rate

as more powder can be
carried into the melt pool

However, w/ higher gas flow rates, partciles become
more prone to reflecting off the melt pool surface

⭐ Hence, an optimum
gas flow rate may exist [6]

2.2.2. Deposition
Patterns

4 common
deposition patterns

raster

bidirectional

offset

fractal

Affect significantly the

depending on the starting
point of deposition

offset-in

offset-out

geometry

mechanical props.

Choosing proper scanning
patterns reduces [84]

production of
residual stresses

thermal distorion

most commonly used

mainly due to its ease
of implementation

independent of the shape
of the fabricated part

thus, can be implemented
to a variety of parts [92]

Additional research is needed
for offset or fractal patterns

This is challenging for a part w/ complex geometry

Nevertheless, the
patterns have advantages:

geometric accuracy

less energy consumption

Nickel et al. [93] found that fractal and offset-out
generate the smallest substrate deformations

Square corners can lead to these
patterns causing interior defects

⭐ Therefore, adopting these patterns w/
arc paths can produce parts w/ higher quality

2.2.3. Layer Slicing
Strategy

In conventional DLD processes, the part
CAD is sliced into parallel layers and
produced in a layer-wise manner.

Parts are built to completion layer by layer, from bottom to top

Due to the thickness of a deposition layer, surfaces, whose normal vectores do not make an angle of either 0º or 90º w/ the build direction can only be deposited approximately.

The designed part shape (e.g. curved surface) is typically approximated by a series of parallel layers (fig. 5)

Also, the material shrinkage
of a single layer during DLD

creates slanted walls
around the layer itself

while causing previously deposited
layers to shrink (via dragging)

These combined effect of geometric approximation
and layer dragging generates a surface w/
step-like features aka "Staircase effect" [94]

Depends on

layer thickness

the angle made by the surface
normal w/ the build direction

Inconvenients

Results in poor surface quality

Requires post-manufacturing
process to form the desired shape

e.g. machining

increases overall
process time

Research on
slicing procedure

however, these
approaches

are degined for fixed direction deposition processes

do not completely eliminate the stair-case effect

such as

controlling layer
thickness [95]

controlling vol. difference
between layers [96]

Multi-axis processing

Is another alternative to
mitigate the staircase effect

Instead of adopting the traditional
parallel slicing approach

it rotates the sicing direction 90º when
an overhang structure occurs [97,98]

⚠ Collision may occur when
rotating the part orientation by 90º

For example, collision between the powder nozzle and the deposited part occurs at the deposition of part (4), when the deposited part is rotated 90º (fig. 5 (a) & (c))

To address the aforementioned challenges in the layer slicing strategy, Ruan et al. presented a method of non-parallel layer slicing for more precise deposition along the part geometry

In this method, the slicing direction
is rotated only as needed

instead of

turning the slicing
direction 90º

resulting in

layers w/ non-uniform thickness
for better fitting shapes

in other words

the thickness varies
at different locations

👍

reduces the staircase effect

decreases manufacturing times

👎

Imposes unprecedent
challengs on implementation

because process control params.
must be delicately controlled

so that the target layer
thickness can be achieved

No analytical models are available to characterize the relation and effect between process params. and layer thickness

Rely on empirical models to
predict process params. in advance

in order to achieve varying layer height

Linear empirical models
have been used to

correlate layer height &
laser scanning speed

while fixing the laser power
and the powder feed rate [99]

usually under specific
experimental conditions

e.g. single track deposition
near the substrate

the resulting prediction of layer height may not be
accurate when the experimental conditions vary