Unified Formulation to Predict the Tensile Curves of Steels with Different Microstructures

Rodriguez, Rodolfo-Martín; Gutiérrez, Isabel

doi:10.4028/www.scientific.net/msf.426-432.4525

Cited by 168 publications

(95 citation statements)

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“…Thus, the σ 0γ in UNS S32304 is calculated through multiplying the experimental σ 0γ of Fe-25Cr- Table 2, which gives σ 0C ¼ 314:8 MPa and k C ¼ 333:4 MPa μm 1=2 . The overall friction stress of ferrite in DSS could not be derived as that in austenite because the function is not simply linear any more due to high concentration of Cr [42,43]. Since σ 0C could be expressed as σ 0C ¼ σ 0γ f γ þ σ 0α f α and the volume fraction of austenite is about 0.45, σ 0α can be obtained as 326.9 MPa.…”

Section: Strengthening Mechanism Of Dual Phase Microstructurementioning

confidence: 99%

Simultaneous improvement of tensile strength and ductility in micro-duplex structure consisting of austenite and ferrite

Chen

Yuan

Jiang

et al. 2014

Materials Science and Engineering: A

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a b s t r a c tA micro-duplex structure consisting of austenite and ferrite was produced by equal channel angular pressing and subsequent intercritical annealing. As compared to coarse-grained (CG) counterpart, the strength and ductility of micro-duplex samples are enhanced simultaneously due to smaller grain sizes in both phases and more uniformly distributed austenite in ferrite matrix. The average yield stress and uniform elongation are increased to 540 MPa and 0.3 as compared to 403MPa and 0.26 of its CG counterpart respectively. The Hall-Petch coefficients of austenite and ferrite grain boundaries were quantitatively measured as 224.9 and 428.9 MPa μm 1/2 respectively. In addition, a Hall-Petch type coefficient was used to describe the ability of phase boundary to obstruct dislocation motion, which was measured as 309.7 MPa μm 1/2 . Furthermore, the surface-to-volume ratio of phase boundary in microduplex structure was estimated to be 1.17 Â 10 6 m À 1 , which is increased by an order of magnitude as compared to 1.2 Â 10 5 m À 1 of its CG counterpart. Based on the strain gradient theory, a model was proposed to describe the effect of surface-to-volume ratio of phase boundary on strain hardening rate, which shows a good agreement with the experimental results.

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Section: Strengthening Mechanism Of Dual Phase Microstructurementioning

confidence: 99%

Simultaneous improvement of tensile strength and ductility in micro-duplex structure consisting of austenite and ferrite

Chen

Yuan

Jiang

et al. 2014

Materials Science and Engineering: A

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“…The flow curve of individual phases for ferrite and martensite at room temperature is quantified based on a dislocation-based strain hardening model of Rodriguez and Gutierrez [34]. This model emerges from the classical dislocation theory approaches of Bergström [35] and Estrin/Mecking [36] and from the work of Gil-sevillano [37].…”

Section: Single Phase Flow Curve Modellingmentioning

confidence: 99%

“…This model emerges from the classical dislocation theory approaches of Bergström [35] and Estrin/Mecking [36] and from the work of Gil-sevillano [37]. The model constants are quantified by Rodriguez [34] and are reported in Equations (1) and (2):…”

Section: Single Phase Flow Curve Modellingmentioning

confidence: 99%

“…The variables were deducted from Rodriguez [34] and Ramazani et al [40,41] and are given in Table 3. …”

Section: Single Phase Flow Curve Modellingmentioning

confidence: 99%

“…The variables were deducted from Rodriguez [34] and Ramazani et al [40,41] and are given in Table 3. The carbon content of ferrite (C f ss ) was approximated using the ThermoCalc software (Thermo-Calc Software, Solna, Sweden) with the TCFe6 database.…”

Section: Single Phase Flow Curve Modellingmentioning

confidence: 99%

See 2 more Smart Citations

Low Cycle Fatigue Behaviour of DP Steels: Micromechanical Modelling vs. Validation

Moeini

Ramazani

Myslicki

et al. 2017

Metals

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Abstract:This study aims to simulate the stabilised stress-strain hysteresis loop of dual phase (DP) steel using micromechanical modelling. For this purpose, the investigation was conducted both experimentally and numerically. In the experimental part, the microstructure characterisation, monotonic tensile tests and low cycle fatigue tests were performed. In the numerical part, the representative volume element (RVE) was employed to study the effect of the DP steel microstructure of the low cycle fatigue behavior of DP steel. A dislocation-density based model was utilised to identify the tensile behavior of ferrite and martensite. Then, by establishing a correlation between the monotonic and cyclic behavior of ferrite and martensite phases, the cyclic deformation properties of single phases were estimated. Accordingly, Chaboche kinematic hardening parameters were identified from the predicted cyclic curve of individual phases in DP steel. Finally, the predicted hysteresis loop from low cycle fatigue modelling was in very good agreement with the experimental one. The stabilised hysteresis loop of DP steel can be successfully predicted using the developed approach.

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Fayek

Quade

Henke

et al. 2012

Integrative Computational Materials Engineering

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Unified Formulation to Predict the Tensile Curves of Steels with Different Microstructures

Cited by 168 publications

References 0 publications

Simultaneous improvement of tensile strength and ductility in micro-duplex structure consisting of austenite and ferrite

Simultaneous improvement of tensile strength and ductility in micro-duplex structure consisting of austenite and ferrite

Low Cycle Fatigue Behaviour of DP Steels: Micromechanical Modelling vs. Validation

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