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Low-cycle fatigue of laser powder bed fusion-processed AlSi10Mg using recycled powder: Experiments and machine learning-assisted lifetime prediction

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081723%3A_____%2F25%3A00619086" target="_blank" >RIV/68081723:_____/25:00619086 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/68407700:21220/25:00384526

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S0264127525003466?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0264127525003466?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.matdes.2025.113926" target="_blank" >10.1016/j.matdes.2025.113926</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Low-cycle fatigue of laser powder bed fusion-processed AlSi10Mg using recycled powder: Experiments and machine learning-assisted lifetime prediction

  • Popis výsledku v původním jazyce

    As additive manufacturing technologies advance, the increased use of recycled powder feedstock becomes inevitable. However, recycling may compromise the purity and quality of material inputs, potentially leading to inferior component properties. In this study, strain-controlled Low-Cycle Fatigue (LCF) tests were performed on laser powder bed fusion-processed AlSi10Mg using recycled powder. The use of recycled powder led to an increased oxygen content, resulting in more pores in the microstructure. The LCF tests covered various strain amplitudes under tension-compression for both horizontally and vertically built specimens. After the initial softening, the cyclic response stabilized, with the Hall-Petch effect identified as the main strengthening mechanism due to the eutectic cell walls, regardless of build direction. Investigations into the damage mechanisms revealed deposition defects as the main factor influencing transgranular crack initiation and propagation. Horizontally built specimens exhibited shorter fatigue lifetimes due to a higher number of deposition defects apparently caused by their positions on the build platform. A physics-informed neural network, combined with a strain-life approach, was proposed to predict the fatigue lifetime of small datasets and account for the damaging effects of deposition-related defects. The predicted data showed a good correlation with the experimental results.

  • Název v anglickém jazyce

    Low-cycle fatigue of laser powder bed fusion-processed AlSi10Mg using recycled powder: Experiments and machine learning-assisted lifetime prediction

  • Popis výsledku anglicky

    As additive manufacturing technologies advance, the increased use of recycled powder feedstock becomes inevitable. However, recycling may compromise the purity and quality of material inputs, potentially leading to inferior component properties. In this study, strain-controlled Low-Cycle Fatigue (LCF) tests were performed on laser powder bed fusion-processed AlSi10Mg using recycled powder. The use of recycled powder led to an increased oxygen content, resulting in more pores in the microstructure. The LCF tests covered various strain amplitudes under tension-compression for both horizontally and vertically built specimens. After the initial softening, the cyclic response stabilized, with the Hall-Petch effect identified as the main strengthening mechanism due to the eutectic cell walls, regardless of build direction. Investigations into the damage mechanisms revealed deposition defects as the main factor influencing transgranular crack initiation and propagation. Horizontally built specimens exhibited shorter fatigue lifetimes due to a higher number of deposition defects apparently caused by their positions on the build platform. A physics-informed neural network, combined with a strain-life approach, was proposed to predict the fatigue lifetime of small datasets and account for the damaging effects of deposition-related defects. The predicted data showed a good correlation with the experimental results.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20501 - Materials engineering

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/EH22_008%2F0004634" target="_blank" >EH22_008/0004634: Strojní inženýrství biologických a bioinspirovaných systémů</a><br>

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Materials and Design

  • ISSN

    0264-1275

  • e-ISSN

    1873-4197

  • Svazek periodika

    253

  • Číslo periodika v rámci svazku

    MAY

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    19

  • Strana od-do

    113926

  • Kód UT WoS článku

    001476787500001

  • EID výsledku v databázi Scopus

    2-s2.0-105002634887