Modified constitutive analysis and activation energy evolution of a low-density steel considering the effects of deformation parameters

Mohamadizadeh, Alireza; Zarei-Hanzaki, A.; Abedi, H.R.

doi:10.1016/j.mechmat.2016.01.001

Cited by 67 publications

(27 citation statements)

References 52 publications

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“…In most cases, however, the activation energy is considered to be a material constant (so-called apparent activation energy) or, at most, strain dependent [21,26,[51][52][53][54]. In order to deal with the activation energy as a strain, strain rate, and temperature dependent parameter, the method utilized, e.g., in [55,56] has been employed. Similarly, as in the case of the apparent activation energy, the calculation is based on the well-known Garofalo's relationship [57].…”

Section: Activation-energy Mapsmentioning

confidence: 99%

Correlation among the Power Dissipation Efficiency, Flow Stress Course, and Activation Energy Evolution in Cr-Mo Low-Alloyed Steel

et al. 2020

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In the presented research, conventional hot processing maps superimposed over the flow stress maps or activation energy maps are utilized to study a correlation among the efficiency of power dissipation, flow stress, and activation energy evolution in the case of Cr-Mo low-alloyed steel. All maps have been assembled on the basis of two flow curve datasets. The experimental one is the result of series of uniaxial hot compression tests. The predicted one has been calculated on the basis of the subsequent approximation procedure via a well-adapted artificial neural network. It was found that both flow stress and activation energy evolution are capable of expressing changes in the studied steel caused by the hot compression deformation. A direct association with the course of power dissipation efficiency is then evident in the case of both. The connection of the presence of instability districts to the activation energy evolution, flow stress course, and power dissipation efficiency was discussed further. Based on the obtained findings it can be stated that the activation energy processing maps represent another tool for the finding of appropriate forming conditions and can be utilized as a support feature for the conventionally-used processing maps to extend their informative ability.

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Section: Activation-energy Mapsmentioning

confidence: 99%

Correlation among the Power Dissipation Efficiency, Flow Stress Course, and Activation Energy Evolution in Cr-Mo Low-Alloyed Steel

et al. 2020

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“…In order to assist industrializing the manufacturing processes of these advanced high strength steels, applying a proper thermomechanical processing cycle is promising not only to break the cast structure down and simultaneously shape the material, but as an intermediate process to refine the grain size and optimize the microstructures. The results of numerous investigations conducted in this area show that the recrystallization phenomena, in particular the dynamic recrystallization one, would act as the main restoration mechanism and control the microstructural evolution in different hot working conditions [30,31]. However, as is well established, a bimodal grain size structure (which holds a mixture of fine and coarse grains) would be developed if the deformation were significantly inhomogeneous,.…”

Section: Introductionmentioning

confidence: 98%

The effects of bimodal grain size distributions on the work hardening behavior of a TRansformation-TWinning induced plasticity steel

Sabzi

Zarei-Hanzaki

Abedi

et al. 2016

Materials Science and Engineering: A

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The effects of bimodal grain size distributions on the mechanical properties of a newly developed TRansformation-TWinning induced plasticity (TRIP/TWIP) steel were investigated. The microstructures with different levels of bimodal grain size distributions were achieved through rolling at 1000, 1100 and 1200 °C where the restoration processes (in particular recrystallization) could be occurred at different rates. The results indicated that the bimodal distribution parameter was increased by raising the rolling temperature and lowering the thickness reduction. In addition, the room temperature strength and ductility were higher for the materials rolled at higher temperatures, where the level of bimodal grain size distributions (bimodality) was greater. This was justified considering the higher possibility of strain induced transformation and twinning in coarser grains than that of finer ones; this in fact would dictate the material work hardening potential during subsequent tensile deformation. For the material rolled at 1000 °C, where the grain size distributions were more homogeneous and the level of bimodal distributions was low, the austenite to martensite transformation during tensile deformation at room temperature was the prevailing mechanism to induce the plasticity. In contrast, in the materials rolled at 1100 and 1200 °C the mechanical twinning came into action thereby a rapid hardening region was recognized in their work hardening behavior. These effects were correlated to the length of work hardening region (dictated by twinning), and the magnitude of hardening rate (controlled by transformation of austenite to a' martensite).Peer ReviewedPostprint (author's final draft

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“…have illustrated that the effects of deformation parameters on the activation energy evolution of Fe-18Mn-8Al-0.8C steel. Hamada et al investigated hot deformation behavior of Fe-20Mn-1.5Al-0.8C steel by the physically based modeling [13][14][15]. As we know, Al is the major alloying elements of the present alloy, and Al plays a significant role on the ferrite stabilizer.…”

Section: Introductionmentioning

confidence: 99%

Exploring the influence of Al content on the hot deformation behavior of Fe-Mn-Al-C steels through 3D processing map

Tang

Chen

et al. 2019

Vacuum

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The effect of Al content on the hot deformation behavior of high-Mn low density Fe-Mn-Al-C steels was investigated by the 3D processing map at the temperatures of 850-1050 °C and the strain rates of 0.001-10s-1. The high-Al steel showed a higher flow stress and a greater activation energy (443 kJ/mol) in contrast to the low-Al steel (394 kJ/mol). The microstructures of 8Al steel and 10Al steel depends on the deformation parameters. The initial hot rolling microstructure has been displaced by the recrystallized structure and substructures for both steels, while the unstable zone has deformation bands and flow localization. As the Z content increases with increasing Al content, this leads to a significant inhibition of the DRX process, resulting in an unstable domain with deformation zones and flow localization. For high-Al steel, the morphology and distribution of ferrite transform from the continuous band ferrite to discontinuous granular ferrite, moreover, the flow localization features cannot be observed with the decrease of strain rate to 0.001s-1. Furthermore, the proportion of instability region for each of the strains increases with the increasing of the Al content, the high Al content weakens the workability of the Fe-Mn-Al-C steels.

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Modified constitutive analysis and activation energy evolution of a low-density steel considering the effects of deformation parameters

Cited by 67 publications

References 52 publications

Correlation among the Power Dissipation Efficiency, Flow Stress Course, and Activation Energy Evolution in Cr-Mo Low-Alloyed Steel

Correlation among the Power Dissipation Efficiency, Flow Stress Course, and Activation Energy Evolution in Cr-Mo Low-Alloyed Steel

The effects of bimodal grain size distributions on the work hardening behavior of a TRansformation-TWinning induced plasticity steel

Exploring the influence of Al content on the hot deformation behavior of Fe-Mn-Al-C steels through 3D processing map

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