Modeling the hot-deformation behavior of Ni60wt%–Ti40wt% intermetallic alloy

Khamei, A.A.; Dehghani, K.

doi:10.1016/j.jallcom.2009.09.187

Cited by 66 publications

(16 citation statements)

References 15 publications

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“…In general, the peak stress is a widely accepted one in order to find the hot working constants as demonstrated for magnesium alloys, [9,10] steels, [16] intermetallic compounds, [17] aluminum alloys, [18] and copper alloys. [19] To make it possible to model the whole flow curve, the conventional approach is to express the constants of the hyperbolic sine equation as functions of strain using the experimental data (known as strain compensation), which has been successfully applied to model the hot flow stress of a variety of materials such as stainless steels, [20][21][22] steels, [5,[23][24][25][26] magnesium alloys, [27,28] aluminum alloys, [29,30] titanium alloys, [31] intermetallics, [32] and composites. [33] Therefore, the strain compensation technique is quite popular and hence a better insight about this approach is helpful for future researches and industrial applications.…”

Section: Introductionmentioning

confidence: 99%

A Simplified Approach for Developing Constitutive Equations for Modeling and Prediction of Hot Deformation Flow Stress

Mirzadeh

2015

Metall Mater Trans A

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A comparative study was carried out on the appropriateness of hyperbolic sine, power, and exponential descriptions of Zener-Hollomon parameter (Z) in prediction of high-temperature flow stress by consideration of the effect of strain. It was shown that the main problem of the conventional strain compensation approach is the implementation of the constitutive equations to find the strain-dependent material constants, especially the hot deformation activation energy (Q), at constant strain values, which arises from the change in the microstructure of the material at a given strain for different deformation conditions (different Z values). Subsequently, a simplified approach for each constitutive equation, mainly by taking Q from the peak stress analysis, was proposed to solve this issue. This also resulted in significantly better prediction abilities for unseen deformation conditions and effectively simplified the required calculations.

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Section: Introductionmentioning

confidence: 99%

A Simplified Approach for Developing Constitutive Equations for Modeling and Prediction of Hot Deformation Flow Stress

Mirzadeh

2015

Metall Mater Trans A

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“…Zhang et al [21,22] have studied the flow behavior of 50.5 at.% Ni-49.5 at.% Ti and 50.7 at.% Ni-49.3 at.% Ti within the temperature range of 700-1000 • C. They have suggested a hyperbolic Sine equation to predict the flow stress of the alloys. In another research work, Dehghani and Khamei [23,24] In spite of various studies conducted on the hot deformation of Ni rich NiTi alloys, to the best of authors knowledge, few research work has been published on the hot compression behavior of near equiatomic binary NiTi and ternary NiTiCu alloys. Thus, the present work has been undertaken to investigate the hot deformation behavior of NiTi and NiTiCu alloys.…”

Section: Introductionmentioning

confidence: 99%

The effect of Cu addition on the hot deformation behavior of NiTi shape memory alloys

Morakabati

Kheirandish

Aboutalebi

et al. 2010

Journal of Alloys and Compounds

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“…3, all the flow curves exhibit a peak stress at a certain strain and after that the stress decreases continuously to a steady state. This flow behavior is ascribed to a competitive process between work hardening and dynamic softening [17]. At the beginning of deformation, the dislocation density rapidly increases, and the work hardening exceeds the dynamic softening, which leads to the rapid increase in stress.…”

Section: Flow Behaviormentioning

confidence: 99%

3D processing map for hot working of extruded AZ80 magnesium alloy

Liu

Cui

2016

Rare Met.

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The hot deformation behavior of extruded AZ80 magnesium alloy was investigated using compression tests in the temperature range of 250-400°C and strain rate range of 0.001-1.000 s -1 . The 3D power dissipation map was developed to evaluate the hot deformation mechanisms and determine the optimal processing parameters. Two domains of dynamic recrystallization were identified from the 3D power dissipation map, with one occurring in the temperature and strain rate range of 250-320°C and 0.001-0.010 s -1 and the other one occurring in the temperature and strain rate range of 380-400°C and 0.001-0.003 s -1 . In order to delineate the regions of flow instability, Prasad's instability criterion, Murty's instability criterion and Gegel's stability criteria were employed to develop the 3D instability maps. Through microstructural examination, it is found that Prasad's and Murty's instability criteria are more effective than Gegel's stability criteria in predicting the flow instability regions for extruded AZ80 alloy. Further, the 3D processing maps were integrated into finite element simulation and the predictions of the simulation are in good agreement with the experimental results.

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Modeling the hot-deformation behavior of Ni60wt%–Ti40wt% intermetallic alloy

Cited by 66 publications

References 15 publications

A Simplified Approach for Developing Constitutive Equations for Modeling and Prediction of Hot Deformation Flow Stress

A Simplified Approach for Developing Constitutive Equations for Modeling and Prediction of Hot Deformation Flow Stress

The effect of Cu addition on the hot deformation behavior of NiTi shape memory alloys

3D processing map for hot working of extruded AZ80 magnesium alloy

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