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Journal of Materials Engineering and Performance

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13-10-2016

A Modified Mechanical Threshold Stress Constitutive Model for Austenitic Stainless Steels

Authors: K. Sajun Prasad, Amit Kumar Gupta, Yashjeet Singh, Swadesh Kumar Singh

Published in: Journal of Materials Engineering and Performance | Issue 12/2016

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Abstract

This paper presents a modified mechanical threshold stress (m-MTS) constitutive model. The m-MTS model incorporates variable athermal and dynamic strain aging (DSA) Components to accurately predict the flow stress behavior of austenitic stainless steels (ASS)-316 and 304. Under strain rate variations between 0.01-0.0001 s⁻¹, uniaxial tensile tests were conducted at temperatures ranging from 50-650 °C to evaluate the material constants of constitutive models. The test results revealed the high dependence of flow stress on strain, strain rate and temperature. In addition, it was observed that DSA occurred at elevated temperatures and very low strain rates, causing an increase in flow stress. While the original MTS model is capable of predicting the flow stress behavior for ASS, statistical parameters point out the inefficiency of the model when compared to other models such as Johnson Cook model, modified Zerilli-Armstrong (m-ZA) model, and modified Arrhenius-type equations (m-Arr). Therefore, in order to accurately model both the DSA and non-DSA regimes, the original MTS model was modified by incorporating variable athermal and DSA components. The suitability of the m-MTS model was assessed by comparing the statistical parameters. It was observed that the m-MTS model was highly accurate for the DSA regime when compared to the existing models. However, models like m-ZA and m-Arr showed better results for the non-DSA regime.

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Title: A Modified Mechanical Threshold Stress Constitutive Model for Austenitic Stainless Steels
Authors: K. Sajun Prasad
Amit Kumar Gupta
Yashjeet Singh
Swadesh Kumar Singh
Publication date: 13-10-2016
Publisher: Springer US
Published in: Journal of Materials Engineering and Performance / Issue 12/2016
Print ISSN: 1059-9495
Electronic ISSN: 1544-1024
DOI: https://doi.org/10.1007/s11665-016-2389-5

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