Rapid residual stress assessment in additively manufactured specimens via standard uniaxial tensile testing

Abstract High residual stresses (RS) in laser powder bed fusion (PBF-LB) components present significant structural challenges, yet traditional characterization techniques are cost- and time-intensive. This study introduces three rapid mechanical testing methodologies to estimate longitudinal RS in PBF-LB 316 L stainless steel by using the premature micro-yielding of pre-tensioned near-surface regions in cylindrical geometries. The proposed methods evaluate RS through: (I) plastic work density calculated from cyclic loading-unloading, (II) virtual unloading mathematically projected from standard monotonic tensile data, which also allows the analysis of existing tensile test results, and (III) the detection of a macroscopic micro-yielding threshold (0.01% strain). The estimates were benchmarked against neutron diffraction (ND) measurements across multiple heat-treatment conditions (as-built to 1000 °C). The energy-based approaches (Proposed Methods I and II) demonstrated linear correlations with relative ND stress reductions (R 2 = 0.75 and 0.71, respectively). Furthermore, by subtracting the empirical micro-yielding threshold from condition-specific macroscopic yield strengths, Proposed Method III captured the relative RS relaxation trend. Electron backscatter diffraction (EBSD) analysis supported the proposed mechanistic interpretation by showing localized geometrically necessary dislocation (GND) accumulation prior to bulk yielding. These findings show that the proposed mechanical methods can serve as accessible tools for evaluating stress mitigation strategies in additive manufacturing.

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Publication Details

Journal
Scientific Reports
Published
2026-10-29
DOI
https://doi.org/10.1038/s41598-026-78163-4
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

Rapid residual stress assessment in additively manufactured specimens via standard uniaxial tensile testing

Radmir Karamov, Ivan Sergeichev, Stanislav A. Evlashin, Alexey P. Simonov et al.
3 links
Scientific Reports
Additive Manufacturing Materials and Processes
article

Rapid residual stress assessment in additively manufactured specimens via standard uniaxial tensile testing

Radmir Karamov, Ivan Sergeichev, Stanislav A. Evlashin, Alexey P. Simonov, Alexey Nikolaevich Fedorenko, Boris S. Voloskov, Ilya A. Bryukhanov, И. Д. Карпов, Denis G. Firsov, Guian Qian, Vyacheslav T. Em
article en

Abstract

Abstract High residual stresses (RS) in laser powder bed fusion (PBF-LB) components present significant structural challenges, yet traditional characterization techniques are cost- and time-intensive. This study introduces three rapid mechanical testing methodologies to estimate longitudinal RS in PBF-LB 316 L stainless steel by using the premature micro-yielding of pre-tensioned near-surface regions in cylindrical geometries. The proposed methods evaluate RS through: (I) plastic work density calculated from cyclic loading-unloading, (II) virtual unloading mathematically projected from standard monotonic tensile data, which also allows the analysis of existing tensile test results, and (III) the detection of a macroscopic micro-yielding threshold (0.01% strain). The estimates were benchmarked against neutron diffraction (ND) measurements across multiple heat-treatment conditions (as-built to 1000 °C). The energy-based approaches (Proposed Methods I and II) demonstrated linear correlations with relative ND stress reductions (R 2 = 0.75 and 0.71, respectively). Furthermore, by subtracting the empirical micro-yielding threshold from condition-specific macroscopic yield strengths, Proposed Method III captured the relative RS relaxation trend. Electron backscatter diffraction (EBSD) analysis supported the proposed mechanistic interpretation by showing localized geometrically necessary dislocation (GND) accumulation prior to bulk yielding. These findings show that the proposed mechanical methods can serve as accessible tools for evaluating stress mitigation strategies in additive manufacturing.

Scientific Reports
Skolkovo Institute of Science and Technology (RU), Chinese Academy of Sciences (CN), Lomonosov Moscow State University (RU), Kurchatov Institute (RU), Institute of Mechanics (CN), State Key Laboratory of Nonlinear Mechanics (CN)
American-Italian Cancer Foundation, Russian Science Foundation, Skolkovo Institute of Science and Technology
Openalex Percentile: Top 24%
Additive Manufacturing Materials and Processes
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