Phenomenological Constitutive Modeling of High-Temperature Flow Behavior Incorporating Individual and Coupled Effects of Processing Parameters in Super-austenitic Stainless Steel

Journal Article · Sun Jul 15 04:00:00 EDT 2018 · Journal of Materials Engineering and Performance

DOI:https://doi.org/10.1007/S11665-018-3416-5· OSTI ID:22860411

Roy, Swagata; Biswas, Srija; Babu, K. Arun; Mandal, Sumantra ^[1]

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1. Indian Institute of Technology Kharagpur, Department of Metallurgical and Materials Engineering (India)

A novel constitutive model has been developed for predicting flow responses of super-austenitic stainless steel over a wide range of strains (0.05-0.6), temperatures (1173-1423 K) and strain rates (0.001-1 s{sup −1}). Further, the predictability of this new model has been compared with the existing Johnson–Cook (JC) and modified Zerilli–Armstrong (M-ZA) model. The JC model is not befitted for flow prediction as it is found to be exhibiting very high (~ 36%) average absolute error (δ) and low (~ 0.92) correlation coefficient (R). On the contrary, the M-ZA model has demonstrated relatively lower δ (~ 13%) and higher R (~ 0.96) for flow prediction. The incorporation of couplings of processing parameters in M-ZA model has led to exhibit better prediction than JC model. However, the flow analyses of the studied alloy have revealed the additional synergistic influences of strain and strain rate as well as strain, temperature, and strain rate apart from those considered in M-ZA model. Hence, the new phenomenological model has been formulated incorporating all the individual and synergistic effects of processing parameters and a ‘strain-shifting’ parameter. The proposed model predicted the flow behavior of the alloy with much better correlation and generalization than M-ZA model as substantiated by its lower δ (~ 7.9%) and higher R (~ 0.99) of prediction.

• OSTI ID: 22860411
• Journal Information: Journal of Materials Engineering and Performance, Journal Name: Journal of Materials Engineering and Performance Journal Issue: 7 Vol. 27; ISSN 1059-9495; ISSN JMEPEG
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
AUSTENITIC STEELS
COMPARATIVE EVALUATIONS
COMPUTERIZED SIMULATION
CORRELATIONS
FLOW STRESS
FORECASTING
STRAIN RATE
STRAINS
TEMPERATURE RANGE 1000-4000 K