The high temperature and high strain-rate behaviour of a plain carbon and an HSLA steel

Baragar, D.

doi:10.1016/0378-3804(87)90015-5

Cited by 78 publications

(34 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Baragar [4] used the equation f(ε) = a + bε m for representation of stress as a function of strain. A value of m = 0.4 was chosen and regressions using linear least-squares were carried out on equations expanded in powers of ε m .…”

Section: Developing the Appropriate Constitutive Equationmentioning

confidence: 99%

“…Most of these models divide the stress-strain curves into two regions, the first involving the effects of work hardening and dynamic recovery on flow stress and the second adding the softening caused by dynamic recrystallization (DRX) [2,3]. Some equations have also been proposed for modeling the flow curves [4]. Moreover, the artificial neural network (ANN) has been successfully used for the prediction of hot flow stress [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Flow stress prediction at hot working conditions

Mirzadeh

Najafizadeh

2010

Materials Science and Engineering: A

View full text Add to dashboard Cite

Section: Developing the Appropriate Constitutive Equationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flow stress prediction at hot working conditions

Mirzadeh

Najafizadeh

2010

Materials Science and Engineering: A

View full text Add to dashboard Cite

“…Baragar [95] used the equation fðeÞ ¼ a þ be m for the representation of stress as a function of strain. A value of m = 0.4 was chosen and regressions using linear least squares were carried out on equations expanded in powers of e m .…”

Section: The Proposed Constitutive Equationmentioning

confidence: 99%

Modeling and Prediction of Hot Deformation Flow Curves

Mirzadeh

Cabrera

Najafizadeh

2011

Metall Mater Trans A

102

View full text Add to dashboard Cite

The modeling of hot flow stress and prediction of flow curves for unseen deformation conditions are important in metal-forming processes because any feasible mathematical simulation needs accurate flow description. In the current work, in an attempt to summarize, generalize, and introduce efficient methods, the dynamic recrystallization (DRX) flow curves of a 17-4 PH martensitic precipitation hardening stainless steel, a medium carbon microalloyed steel, and a 304 H austenitic stainless steel were modeled and predicted using (1) a hyperbolic sine equation with strain dependent constants, (2) a developed constitutive equation in a simple normalized stress-normalized strain form and its modified version, and (3) a feed-forward artificial neural network (ANN). These methods were critically discussed, and the ANN technique was found to be the best for the modeling available flow curves; however, the developed constitutive equation showed slightly better performance than that of ANN and significantly better predicted values than those of the hyperbolic sine equation in prediction of flow curves for unseen deformation conditions.

show abstract

“…During the past decades, many works have been conducted to measure the flow curves of conventional steels at high temperatures [3][4][5][6][7]. However, these works were mostly carried out under constant temperature conditions, without considering temperature history, and mainly within the uniform deformation range.…”

Section: Introductionmentioning

confidence: 99%

Inverse characterization method for mechanical properties of strain/strain-rate/temperature/temperature-history dependent steel sheets and its application for hot press forming

Kim

Ahn

et al. 2015

Met. Mater. Int.

View full text Add to dashboard Cite

In order to measure the flow curves of steel sheets at high temperatures, which are dependent on strain and strain rate as well as temperature and temperature history, a tensile test machine and specimens were newly developed in this work. Besides, an indirect method to characterize mechanical properties at high temperatures was developed by combining experiments and its numerical analysis, in which temperature history were also accounted for. Ultimately, a modified Johnson-Cook type hardening law, accounting for the dependence of hardening behavior with deterioration on strain rate as well as temperature, was successfully developed covering both pre-and post-ultimate tensile strength ranges for a hot press forming steel sheet. The calibrated hardening law obtained based on the inverse characterization method was then applied and validated for hot press forming of a 2-D mini-bumper as for distributions of temperature history, thickness and hardness considering the continuous cooling transformation diagram. The results showed reasonably good agreement with experiments

show abstract

The high temperature and high strain-rate behaviour of a plain carbon and an HSLA steel

Cited by 78 publications

References 5 publications

Flow stress prediction at hot working conditions

Flow stress prediction at hot working conditions

Modeling and Prediction of Hot Deformation Flow Curves

Inverse characterization method for mechanical properties of strain/strain-rate/temperature/temperature-history dependent steel sheets and its application for hot press forming

Contact Info

Product

Resources

About