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Edge effects in radial porosity profiles from CT measurements and melt pool signal intensities for laser powder bed fusion

Computational Engineering, Finance, and Science · Submitted 27 Jan 2022

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The results motivate a route towards future design of components with locally dependent material parameters.

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arXiv ID2201.11483 (version 1)
Pith IDOUSPRRPH, Pith's permanent record of this paper and its review
CitationJorrit Voigt, Michael Moeckel, Ralf Hellmann, Thomas Bock, Uwe Hilpert. "Edge effects in radial porosity profiles from CT measurements and melt pool signal intensities for laser powder bed fusion." arXiv:2201.11483 (2022). https://pith.science/paper/OUSPRRPH
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,481 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.19 · human participants 0.02 · controlled comparison 0.12 · randomized assignment 0.02 · states quantitative result 0.24 · compares with prior results 0.07 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Limited process control can cause metallurgical defect formation and inhomogeneous relative density in laser powder bed fusion manufactured parts. In this study, cylindrical 15-5 PH stainless steel specimens are investigated by computer tomography; it shows an edge enhanced relative density profile. Additionally, the on axis monitoring signal, obtained from recording the thermal radiation of the melt pool, is considered. Analyzing data for the full duration of the building process results in a statistically increased melt pool signature close to the edge corresponding to the density profile. Edge specific patterns in the on axis signal are found by unsupervised times series clustering. The observations are interpreted using finite element method modeling: For exemplary points at the center and edge it shows different local thermal histories attributed to the chosen laser scan pattern. The results motivate a route towards future design of components with locally dependent material parameters.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Limited process control can cause metallurgical defect formation and inhomogeneous relative density in laser powder bed fusion manufactured parts. background 1.00 0.05 0.04 hedged possibility 0.72
s1 In this study, cylindrical 15-5 PH stainless steel specimens are investigated by computer tomography; it shows an edge enhanced relative density profile. result 0.54 0.95 0.19 asserted 1.00
s2 Additionally, the on axis monitoring signal, obtained from recording the thermal radiation of the melt pool, is considered. method 0.96 0.89 0.02 asserted 0.90
s3 Analyzing data for the full duration of the building process results in a statistically increased melt pool signature close to the edge corresponding to the density profile. result 1.00 0.94 0.23 asserted 1.00
s4 Edge specific patterns in the on axis signal are found by unsupervised times series clustering. result 0.77 0.95 0.10 asserted 1.00
s5 The observations are interpreted using finite element method modeling: For exemplary points at the center and edge it shows different local thermal histories attributed to the chosen laser scan pattern. interpretation 0.93 0.87 0.11 asserted 0.97
s6 The results motivate a route towards future design of components with locally dependent material parameters. future work 0.87 0.35 0.48 hedged possibility 0.78

What kind of paper the classifier reports this is: empirical study 1.00 · evidence from observation or experiment 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Limited process control can cause metallurgical defect formation and inhomogeneous relative density in laser powder bed fusion manufactured parts. In this study, cylindrical 15-5 PH stainless steel specimens are investigated by computer tomography; it shows an edge enhanced relative density profile. Additionally, the on axis monitoring signal, obtained from recording the thermal radiation of the melt pool, is considered. Analyzing data for the full duration of the building process results in a statistically increased melt pool signature close to the edge corresponding to the density profile. Edge specific patterns in the on axis signal are found by unsupervised times series clustering. The observations are interpreted using finite element method modeling: For exemplary points at the center and edge it shows different local thermal histories attributed to the chosen laser scan pattern. The results motivate a route towards future design of components with locally dependent material parameters.

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