X-CT defect-informed process optimization of PBF-LB Ti-15wt.%Nb alloy from elemental powder blends

Laser beam powder bed fusion (PBF-LB) of Ti-Nb elemental powder blends requires simultaneous control of density, pore defects, feedstock quality, and mechanical performance. This study develops an X-CT defect-informed process-parameter-set optimization workflow for PBF-LB Ti-15wt.%Nb. Forty-one parameter sets, 18 tensile conditions, 13 training and 2 confirmation X-CT datasets, and three confirmation builds were evaluated. Repeated-CV low-capacity regression and response-surface analysis characterized the density response, while Dmax strongly correlated with elongation. A six-objective desirability function identified parameter set 26#, which was reproduced in a separate C1 confirmation build with high density, strength, ductility, and low pore risk.

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Publication Details

Journal
Figshare
Published
2026-11-05
DOI
https://doi.org/10.6084/m9.figshare.34918843
Primary Topic
Additive Manufacturing Materials and Processes
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article
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article

X-CT defect-informed process optimization of PBF-LB Ti-15wt.%Nb alloy from elemental powder blends

万传玲, Dongming Yao, Huifang Yang, Yan Xiao
Figshare
Additive Manufacturing Materials and Processes
article

X-CT defect-informed process optimization of PBF-LB Ti-15wt.%Nb alloy from elemental powder blends

万传玲, Dongming Yao, Huifang Yang, Yan Xiao
article en

Abstract

Laser beam powder bed fusion (PBF-LB) of Ti-Nb elemental powder blends requires simultaneous control of density, pore defects, feedstock quality, and mechanical performance. This study develops an X-CT defect-informed process-parameter-set optimization workflow for PBF-LB Ti-15wt.%Nb. Forty-one parameter sets, 18 tensile conditions, 13 training and 2 confirmation X-CT datasets, and three confirmation builds were evaluated. Repeated-CV low-capacity regression and response-surface analysis characterized the density response, while Dmax strongly correlated with elongation. A six-objective desirability function identified parameter set 26#, which was reproduced in a separate C1 confirmation build with high density, strength, ductility, and low pore risk.

Figshare
Openalex Percentile: Top 24%
Additive Manufacturing Materials and Processes
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