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Experimental investigation and numerical modelling of the cyclic plasticity and fatigue behavior of additively manufactured 316 L stainless steel
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Material and Structural Mechanics.ORCID iD: 0000-0002-1248-110X
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Material and Structural Mechanics.
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Material and Structural Mechanics. Department of Mechanical and Production Engineering, Aarhus University, 8200 Aarhus N, Denmark.ORCID iD: 0000-0001-6375-6292
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Material and Structural Mechanics.ORCID iD: 0009-0006-8453-9688
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2024 (English)In: International journal of plasticity, ISSN 0749-6419, E-ISSN 1879-2154, Vol. 176, article id 103966Article in journal (Refereed) Published
Abstract [en]

This study addresses the critical need for a constitutive model to analyze the cyclic plasticity of additively manufactured 316L stainless steel. The anisotropic behavior at both room temperature and 300 °C is investigated experimentally based on cyclic hysteresis loops performed in different orientations with respect to the build direction. A comprehensive constitutive model is proposed, that integrates the Armstrong-Frederick nonlinear kinematic hardening, Voce nonlinear isotropic hardening and Hill's anisotropic yield criterion within a 3D return mapping algorithm. The model was calibrated to specimens in the 0° and 90° orientations and validated with specimens in the 45° orientation. A single set of hardening parameters successfully represented the elastoplastic response for all orientations at room temperature. The algorithm effectively captured the full cyclic hysteresis loops, including historical effects observed in experimental tests. A consistent trend of reduced hardening was observed at elevated temperature, while the 45° specimen orientation consistently exhibited the highest degree of strain hardening. The applicability of the model was demonstrated by computing energy dissipation for stabilized hysteresis loops, which was combined with fatigue tests to propose an energy-based fatigue life prediction model.

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 176, article id 103966
Keywords [en]
A. fatigue, B. anisotropic material, B. elastic-plastic material, C. Numerical algorithms, Temperature effect
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-346174DOI: 10.1016/j.ijplas.2024.103966ISI: 001298085600001Scopus ID: 2-s2.0-85190760228OAI: oai:DiVA.org:kth-346174DiVA, id: diva2:1855959
Note

QC 20240514

Available from: 2024-05-03 Created: 2024-05-03 Last updated: 2024-09-24Bibliographically approved

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Subasic, MustafaIreland, AaronMansour, RamiEnblom, PeterEfsing, Pål

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