Cyclic Plasticity and Low Cycle Fatigue of an AISI 316L Stainless Steel: Experimental Evaluation of Material Parameters for Durability Design

AISI 316L stainless steels are widely employed in applications where durability is crucial. For this reason, an accurate prediction of its behaviour is of paramount importance. In this work, the spotlight is on the cyclic response and low-cycle fatigue performance of this material, at room temperatu...

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Main Authors: Marco Pelegatti, Alex Lanzutti, Enrico Salvati, Jelena Srnec Novak, Francesco De Bona, Denis Benasciutti
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/14/13/3588
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author Marco Pelegatti
Alex Lanzutti
Enrico Salvati
Jelena Srnec Novak
Francesco De Bona
Denis Benasciutti
author_facet Marco Pelegatti
Alex Lanzutti
Enrico Salvati
Jelena Srnec Novak
Francesco De Bona
Denis Benasciutti
author_sort Marco Pelegatti
collection DOAJ
description AISI 316L stainless steels are widely employed in applications where durability is crucial. For this reason, an accurate prediction of its behaviour is of paramount importance. In this work, the spotlight is on the cyclic response and low-cycle fatigue performance of this material, at room temperature. Particularly, the first aim of this work is to experimentally test this material and use the results as input to calibrate the parameters involved in a kinematic and isotropic nonlinear plasticity model (Chaboche and Voce). This procedure is conducted through a newly developed calibration procedure to minimise the parameter estimates errors. Experimental data are eventually used also to estimate the strain–life curve, namely the Manson–Coffin curve representing the 50% failure probability and, afterwards, the design strain–life curves (at 5% failure probability) obtained by four statistical methods (i.e., deterministic, “Equivalent Prediction Interval”, univariate tolerance interval, Owen’s tolerance interval for regression). Besides the characterisation of the AISI 316L stainless steel, the statistical methodology presented in this work appears to be an efficient tool for engineers dealing with durability problems as it allows one to select fatigue strength curves at various failure probabilities depending on the sought safety level.
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spelling doaj.art-a7c612978b084fe6a5ac8fbe720f8a252023-11-22T01:56:59ZengMDPI AGMaterials1996-19442021-06-011413358810.3390/ma14133588Cyclic Plasticity and Low Cycle Fatigue of an AISI 316L Stainless Steel: Experimental Evaluation of Material Parameters for Durability DesignMarco Pelegatti0Alex Lanzutti1Enrico Salvati2Jelena Srnec Novak3Francesco De Bona4Denis Benasciutti5Department of Engineering, University of Ferrara, via Saragat 1, 44122 Ferrara, ItalyDepartment Polytechnic of Engineering and Architecture, University of Udine, via delle Scienze 208, 33100 Udine, ItalyDepartment Polytechnic of Engineering and Architecture, University of Udine, via delle Scienze 208, 33100 Udine, ItalyFaculty of Engineering & Centre for Micro—and Nanosciences and Technologies, University of Rijeka, Vukovarska 58, 51000 Rijeka, CroatiaDepartment Polytechnic of Engineering and Architecture, University of Udine, via delle Scienze 208, 33100 Udine, ItalyDepartment of Engineering, University of Ferrara, via Saragat 1, 44122 Ferrara, ItalyAISI 316L stainless steels are widely employed in applications where durability is crucial. For this reason, an accurate prediction of its behaviour is of paramount importance. In this work, the spotlight is on the cyclic response and low-cycle fatigue performance of this material, at room temperature. Particularly, the first aim of this work is to experimentally test this material and use the results as input to calibrate the parameters involved in a kinematic and isotropic nonlinear plasticity model (Chaboche and Voce). This procedure is conducted through a newly developed calibration procedure to minimise the parameter estimates errors. Experimental data are eventually used also to estimate the strain–life curve, namely the Manson–Coffin curve representing the 50% failure probability and, afterwards, the design strain–life curves (at 5% failure probability) obtained by four statistical methods (i.e., deterministic, “Equivalent Prediction Interval”, univariate tolerance interval, Owen’s tolerance interval for regression). Besides the characterisation of the AISI 316L stainless steel, the statistical methodology presented in this work appears to be an efficient tool for engineers dealing with durability problems as it allows one to select fatigue strength curves at various failure probabilities depending on the sought safety level.https://www.mdpi.com/1996-1944/14/13/3588AISI 316Llow-cycle fatigueplasticityhardeningsoftening
spellingShingle Marco Pelegatti
Alex Lanzutti
Enrico Salvati
Jelena Srnec Novak
Francesco De Bona
Denis Benasciutti
Cyclic Plasticity and Low Cycle Fatigue of an AISI 316L Stainless Steel: Experimental Evaluation of Material Parameters for Durability Design
Materials
AISI 316L
low-cycle fatigue
plasticity
hardening
softening
title Cyclic Plasticity and Low Cycle Fatigue of an AISI 316L Stainless Steel: Experimental Evaluation of Material Parameters for Durability Design
title_full Cyclic Plasticity and Low Cycle Fatigue of an AISI 316L Stainless Steel: Experimental Evaluation of Material Parameters for Durability Design
title_fullStr Cyclic Plasticity and Low Cycle Fatigue of an AISI 316L Stainless Steel: Experimental Evaluation of Material Parameters for Durability Design
title_full_unstemmed Cyclic Plasticity and Low Cycle Fatigue of an AISI 316L Stainless Steel: Experimental Evaluation of Material Parameters for Durability Design
title_short Cyclic Plasticity and Low Cycle Fatigue of an AISI 316L Stainless Steel: Experimental Evaluation of Material Parameters for Durability Design
title_sort cyclic plasticity and low cycle fatigue of an aisi 316l stainless steel experimental evaluation of material parameters for durability design
topic AISI 316L
low-cycle fatigue
plasticity
hardening
softening
url https://www.mdpi.com/1996-1944/14/13/3588
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