Details
| Original language | English |
|---|---|
| Pages (from-to) | 134-137 |
| Number of pages | 4 |
| Journal | Procedia CIRP |
| Volume | 111 |
| Early online date | 6 Sept 2022 |
| Publication status | Published - 2022 |
| Event | 12th CIRP Conference on Photonic Technologies, LANE 2022 - Erlangen, Germany Duration: 4 Sept 2022 → 8 Sept 2022 |
Abstract
The PBF-LB (laser-based powder bed fusion) process is subject to a large number of variables, including the characteristics of the processed powder. Since a powder with a given specification can be supplied by various powder manufacturers, the transferability of optimized parameter settings and statistical processing models is of major interest. This work therefore investigates the processing windows of two Ti-6Al-4V powders supplied by different manufacturers following the Design of Experiments (DoE) approach. The fitted regression models for porosity and roughness demonstrate a significant influence of the powder and its size distribution. Further, the powder type significantly interacts with laser power, scanning speed and hatch spacing. It is shown that an increase of the powder size distribution quantiles by less than 10 µm leads to a shift of optimum settings towards a higher volume energy density by 6.4 J/mm3 as well as to higher roughness on the top and side surfaces.
Keywords
- Additive manufacturing, Design of Experiments, laser-based powder bed fusion, roughness, Ti-6Al-4V
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Procedia CIRP, Vol. 111, 2022, p. 134-137.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Determination of optimum process parameters for different Ti-6Al-4V powders processed by Laser-based Powder Bed Fusion
AU - Emminghaus, Nicole
AU - Bernhard, Robert
AU - Hermsdorf, Jörg
AU - Kaierle, Stefan
N1 - Funding Information: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 394563137 – SFB 1368.
PY - 2022
Y1 - 2022
N2 - The PBF-LB (laser-based powder bed fusion) process is subject to a large number of variables, including the characteristics of the processed powder. Since a powder with a given specification can be supplied by various powder manufacturers, the transferability of optimized parameter settings and statistical processing models is of major interest. This work therefore investigates the processing windows of two Ti-6Al-4V powders supplied by different manufacturers following the Design of Experiments (DoE) approach. The fitted regression models for porosity and roughness demonstrate a significant influence of the powder and its size distribution. Further, the powder type significantly interacts with laser power, scanning speed and hatch spacing. It is shown that an increase of the powder size distribution quantiles by less than 10 µm leads to a shift of optimum settings towards a higher volume energy density by 6.4 J/mm3 as well as to higher roughness on the top and side surfaces.
AB - The PBF-LB (laser-based powder bed fusion) process is subject to a large number of variables, including the characteristics of the processed powder. Since a powder with a given specification can be supplied by various powder manufacturers, the transferability of optimized parameter settings and statistical processing models is of major interest. This work therefore investigates the processing windows of two Ti-6Al-4V powders supplied by different manufacturers following the Design of Experiments (DoE) approach. The fitted regression models for porosity and roughness demonstrate a significant influence of the powder and its size distribution. Further, the powder type significantly interacts with laser power, scanning speed and hatch spacing. It is shown that an increase of the powder size distribution quantiles by less than 10 µm leads to a shift of optimum settings towards a higher volume energy density by 6.4 J/mm3 as well as to higher roughness on the top and side surfaces.
KW - Additive manufacturing
KW - Design of Experiments
KW - laser-based powder bed fusion
KW - roughness
KW - Ti-6Al-4V
UR - http://www.scopus.com/inward/record.url?scp=85141898845&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2022.08.052
DO - 10.1016/j.procir.2022.08.052
M3 - Conference article
AN - SCOPUS:85141898845
VL - 111
SP - 134
EP - 137
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 12th CIRP Conference on Photonic Technologies, LANE 2022
Y2 - 4 September 2022 through 8 September 2022
ER -