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Localized Changes of Stainless Steel Powder Characteristics During Selective Laser Melting Additive Manufacturing

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Abstract

In laser powder bed additive manufacturing processes, feedstock materials are often recycled after each build. Currently, a knowledge gap exists regarding powder reuse effects on powder size distribution, morphology, and chemistry as a function of part geometry and processing conditions. It was found during selective laser melting (SLM) of 316 stainless steel that a significant amount of (0.100 wt pct) oxygen pickup can occur in molten material (spatter) ejected from the powder bed surface. This value was significantly larger than the oxygen content of the as-received powder feedstock (0.033 wt pct). Furthermore, the powders in the heat-affected-zone regions, adjacent to molten pool, also exhibit oxygen pickup (≥ 0.043 wt pct). The oxygen content in unmelted 316L powder was found to vary as a function of its spatial position in the powder bed, relative to the heat source. Interestingly, the volume of melted material (i.e., thin vs thick walls) did not correlate well with the extent of oxygen pickup. Possible mechanisms for oxygen pickup in the powder during SLM, such as adsorption and breakdown of water, oxygen solubility, spatter re-introduction, and solid-state oxide growth, are discussed.

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Acknowledgments

This work of authorship and those incorporated herein were prepared by Consolidated Nuclear Security, LLC (CNS) as accounts of work sponsored by an agency of the United States Government under Contract DE-NA0001942. Neither the United States Government nor any agency thereof, nor CNS, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility to any nongovernmental recipient hereof for the accuracy, completeness, use made, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency or contractor thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency or contractor (other than the authors) thereof. Research was sponsored the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office, under contract DE-AC05-00OR22725 with UT-Battelle, LLC. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for the United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

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Correspondence to D. Galicki.

Additional information

Manuscript submitted April 3, 2018.

Appendices

Appendix A: Build Parameters

Scan Strategy: Meander

 

Hull and Core Overlap

0.4 mm

Wire Structure Shape: Minimal Segment Length

0.2 mm

Layer Path Organization

inside to outside

 

Volume Area

Volume of Offset Hatch

Volume Border

Power Output (W)

200

180

175

Focus Offset (mm)

0

0

0

Point Distance (µm)

60

65

25

Exposure Time (µs)

80

110

130

 

Overhang Border

Skin Area

Wire Structure

Power Output (W)

50

125

0

Focus Offset (mm)

0

0

0.2

Point Distance (µm)

25

65

200

Exposure Time (µs)

65

60

400

Contour

 

Layer Spot Composition

45 µm

Edge Factor

1.2

Following Distances

200 µm

Offset Hatch General Offset Number

1

Offset Hatch General Offset Space

50 µm

Volume Area

 

Angle

0 deg

Angle Increment

67 deg

Hatch Space

110 µm

Contour Space

100 µm

Skin Area

 

Angle

0 deg

Angle Increment

0 deg

Hatch Space

175 µm

Contour Space

100 µm

Appendix B: Oxide Scale Thickness Calculations

Appendix B describes the methodology used to arrive at estimated initial and heat-affected-zone oxide thicknesses on a representative powder bed particle. A schematic of a representative steel particle encased in an oxide shell is provided in Figure B1.

Fig. B1
figure 18

Schematic showing the oxide shell surrounding a stainless steel powder particle

To back calculate the initial Fe3O4 oxide thickness on an average particle, the following variables must be known: the measured oxygen content of the virgin powder (\( {\text{wt}}\,{\text{pct}}_{\text{O}} \) = 0.033 ± 0.002 wt pct), the density of 316L steel (\( \rho_{316L} = 7.99 \) g/cm3), the density of the oxide (\( \rho_{{{\text{Fe}}_{3} {\text{O}}_{4} }} = 5.17 \) g/cm3), the stoichiometry of Fe and O within the oxide (\( s_{\text{Fe}} \, = \,3, \,s_{\text{O}} \, = \,4 \)), the molar mass of Fe and O (\( {\text{MM}}_{\text{Fe}} \, = \,55.845 \) g/mol, \( {\text{MM}}_{\text{O}} \, = \,15.999 \)g/mol), the molar mass of the oxide (\( {\text{MM}}_{{{\text{Fe}}_{3} {\text{O}}_{4} }} \, = \,231.533 \) g/mol), and Avogadro’s Number (\( N_{\text{A}} = 6.022\, \times \,10^{23} \) mol−1). It follows that the wt pct of the oxygen within the oxide shell can be determined by equations

$$ {\text{wt}}\,{\text{pct}}_{\text{O}} \, = \,100 \cdot \frac{{m_{\text{O}} }}{{m_{\text{p}} + m_{\text{O}} }} $$
(B1)
$$ m_{\text{p}} = \rho_{{ 3 1 6 {\text{L}}}} *V_{\text{p}} $$
(B2)
$$ V_{\text{p}} = \frac{\pi }{6}\left( r \right)^{3} $$
(B3)

where \( m_{\text{O}} \) is the mass of the oxygen contained in the oxide layer, \( m_{\text{p}} \) is the mass of a single powder particle with no oxide layer, \( V_{\text{p}} \) is the volume of a single powder particle with no oxide layer, and \( r \) is the radius of a single powder particle with no oxide layer. The virgin powder size distribution (see Section III–D) was used to calculate an average particle radius, \( r \) = DV/2, based on the average particle volume (DV = 27.71 µm). It is assumed that the Fe needed to form the oxide is supplied by the base material and is therefore included in \( m_{\text{p}} \) value of Eq. [B1]. The mass of the oxygen within the initial oxide layer, \( m_{\text{O}} \), can be determined by the equations

$$ m_{\text{O}} = \frac{{m_{\text{oxide}} N_{\text{A}} s_{\text{O}} MM_{\text{O}} }}{{{\text{MM}}_{\text{oxide}} N_{\text{A}} }} $$
(B4)
$$ m_{\text{Oxide}} = V_{\text{oxide}} *\rho_{{{\text{Fe}}_{3} {\text{O}}_{4} }} $$
(B5)
$$ V_{\text{Oxide}} = \frac{4\pi }{3}\left( {\left( {r + t_{\text{Oxide}} } \right)^{3} - r^{3} } \right), $$
(B6)

where \( m_{\text{oxide}} \) is the mass of the oxide layer, \( V_{\text{oxide}} \) is the volume of the oxide layer, and \( t_{\text{oxide}} \) is the thickness of the oxide layer. Since the oxygen content in wt pct is known, it is possible to back calculate using Eqs. [B1] through [B6] to determine the initial oxide thickness, \( t_{\text{oxide}} \), which will achieve the initial measured wt pct value of 0.033 (\( \pm \) 0.002). Microsoft Excel’s Goal Seek function works well for this task.

It is a simple matter to repeat the calculations above to find the average oxide thicknesses in the HAZ powder after being thermally cycled, using this time the oxygen content value of 0.043 (\( \pm \) 0.002) wt pct, measured from the powder contained in the 150-μm channels of the HAZ experiments.

Appendix C: Powder Bed Dilution Calculations

To calculate the dilution effects of an ever-increasing ratio of non-oxidized powder to oxidized powder, it was assumed that all of the measured oxygen pickup is evenly distributed between the powder particles residing within a 150-µm-wide channel, which is the narrowest channel in the heat-affected-zone experiments. For simplification purposes, a powder particle diameter (DV) of 30 µm is assigned to all particles residing within the 150-µm channel. Furthermore, it is assumed that the powder particles are arranged in rows of stacked columns as shown in Figure C1. The oxygen content measured in the heat-affected powder sampled from the 150-µm channels (\( {\text{wt}}\,{\text{pct}}_{\text{HAZ}} \)) is 0.043 (+ 0.002) wt pct and is represented by solid black outlines in the figure. Diluting powder is assumed to contain the measured oxygen content of the virgin powder (\( {\text{wt}}\,{\text{pct}}_{\text{virgin}} \) = 0.033 + 0.002 wt pct) and is represented by red dashed outlines.

Fig. C1
figure 19

Schematic demonstrating the diluting effect of non-oxidized powder on locally oxidized powder as channel width is increased

As the channel width is increased from 150 microns and more unoxidized powder is added to fill the space between the channel walls, the total oxygen content wt pct of the powder within the channel (\( wt\,pct_{bed} \)) begins to decrease as described by Eqs. [C1] through [C3].

$$ {\text{wt}}\,{\text{pct}}_{\text{bed}} = \frac{{m_{\text{O}} }}{{m_{\text{bed}} }} $$
(C1)
$$ m_{\text{O}} = V_{\text{p}} \rho_{{ 3 1 6 {\text{L}}}} (N_{\text{HAZ}} {\text{wt}}\,{\text{pct}}_{\text{HAZ}} + N_{\text{virgin}} {\text{wt}}\,{\text{pct}}_{\text{virgin}} ) $$
(C2)
$$ m_{\text{bed}} = V_{\text{p}} \rho_{{ 3 1 6 {\text{L}}}} (N_{\text{HAZ}} + N_{\text{virgin}} ) $$
(C3)

where \( m_{\text{O}} \) is the mass of oxygen in powder within the channel, \( m_{\text{bed}} \) is the total mass of the powder within the channel, \( V_{\text{p}} \) is the volume of a powder particle with diameter DV, \( \rho_{{ 3 1 6 {\text{L}}}} \) is the density of stainless steel 316L (7.99 g/cm3), \( N_{\text{HAZ}} \) is the number of powder particles within the heat-affected zone of the channel (black outlines), and \( N_{\text{virgin}} \) is the number of non-heat-affected powder particles within the channel (red, dashed outlines). \( N_{\text{HAZ}} \) and \( N_{\text{virgin}} \) can be determined by assuming any arbitrary height and length for the channel walls and calculating the number of powder particles of diameter DV, arranged in the above geometry, which would fit between them. \( N_{\text{HAZ}} \) is the number of those particles that reside within 75 microns of either channel wall. The remaining particles after subtracting out \( N_{\text{HAZ}} \) from the total particles are \( N_{\text{virgin}} \). By performing the above calculations using several increasing channel widths, as well as the upper and lower error bounds of the virgin powder oxygen content (0.035 and 0.031 wt pct) and the upper and lower bounds of the HAZ powder oxygen content (0.045 and 0.041 wt pct), a bounding area of oxygen wt pct as a function of channel width can be produced as shown in Figure C2.

Fig. C2
figure 20

Plot of the bounded area of the dissolution effect as a function of channel width

Appendix D: DICTRA Macros

This Appendix contains the text form of the DCM macro files used to (1) set up the DICTRA calculation, (2) Run the DICTRA calculation, and (3) Plot the thermal history and oxide thickness as functions of time on two separate plots. ThermoCalc version 2017b was used to perform the following calculations.

4.1 DICTRA Calculation Set-Up

figure a
figure b
figure c

4.2 Running the DICTRA Calculation

figure d

4.3 Plotting the DICTRA-Calculated Results

figure e

Appendix E: Conversion of Laser Diffraction Measurements into a Representative, Volume-Averaged, Monodisperse Particle Diameter

This appendix describes in detail the calculations used to convert typical laser diffraction measurements of a powder sample into a more easily workable, single, particle diameter value representing every particle in the measured powder sample. An example of laser diffraction measurement values is provided in Figure 17. The “Diameter” and “Undersized” headings in Figure 17 are represented in the following equations by \( D_{\text{p}}^{i} \) and \( V_{\text{I}}^{i} \), respectively.

Equations [E1] through [E4] were used to convert the laser diffraction incremental volume-percent value (\( V_{\text{I}}^{i} \)) into an incremental number-percent value (\( N_{\text{I}}^{i} \)).

$$ V_{\text{p}}^{i} = \frac{4\pi }{3}\left( {\frac{{D_{\text{p}}^{i} }}{2 *(10,000)}} \right)^{3} $$
(E1)
$$ N_{p}^{i} = \frac{{V_{hyp} *V_{I}^{i} }}{{V_{p}^{i} }} $$
(E2)
$$ N_{p}^{T} = \mathop \sum \limits_{i = 1}^{m} N_{p}^{i} $$
(E3)
$$ N_{I}^{i} = \frac{{N_{p}^{i} }}{{N_{p}^{T} }}, $$
(E4)

where \( V_{\text{p}}^{i} \) is the volume of a single spherical particle with diameter \( D_{\text{p}}^{i} \), \( N_{\text{p}}^{i} \) is the number of particles with diameter \( D_{\text{p}}^{i} \)residing within a hypothetical measured sample volume (\( V_{\text{hyp}} \)), \( N_{\text{p}}^{T} \) is the sum total number of particles within the hypothetical sample, and \( m \) is the number of particle size bins output by the laser diffractometer. In Figure 17, \( m \) is equal to 15, for example. For any size sample of powder particles (\( n_{\text{sample}} \)), the volume (\( V_{\text{f}}^{i} \)) of the sample contributed by the number fraction of particles with diameter \( D_{\text{p}}^{i} \) can be calculated using Eq. [E5].

$$ V_{\text{f}}^{i} = V_{\text{p}}^{i} *\left( {n_{\text{sample}} *N_{\text{I}}^{i} } \right) $$
(E5)

The monodisperse, volume-averaged, particle diameter (\( D_{\text{mon}} \)) of a laser diffractometer-measured powder sample can be calculated using Eq. [E6].

$$ D_{\text{mon}} \, = \,2 *\frac{3}{4\pi }\left[ {\left( {\left( {\frac{{\mathop \sum \nolimits_{i = 1}^{m} V_{\text{f}}^{i} }}{{n_{\text{sample}} }}} \right)^{1/3} } \right)\, *\,10,000} \right] $$
(E6)

The above equations were used in this paper to convert laser diffraction measurements for virgin powder and spatter samples. Table E1 contains data from the measurement of one such spatter sample, and the values obtained from the application of Eqs. [E1] through [E6].

Table E1 Example of Calculation of Monodisperse, Volume-Averaged Particle Diameter from Laser Diffractometer-Measured Data

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Galicki, D., List, F., Babu, S.S. et al. Localized Changes of Stainless Steel Powder Characteristics During Selective Laser Melting Additive Manufacturing. Metall Mater Trans A 50, 1582–1605 (2019). https://doi.org/10.1007/s11661-018-5072-7

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