Evolution of Dislocation Density During Tensile Deformation of BH220 Steel at Different Pre-strain Conditions

Seth, Prem Prakash; Das, Anindya; Bar, H. N.; Sivaprasad, S.; Basu, A.; Dutta, Krishna

doi:10.1007/s11665-015-1554-6

Cited by 13 publications

(6 citation statements)

References 18 publications

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“…Scholars found that the increasing strain rate is accompanied by the activation of more dislocation sources, and thus the dislocation density of the material increases [14,15] . The dislocation distributions of the different strain rates samples are analyzed by TEM (Fig.…”

Section: Effect Of Strain Rate On Dislocation Densitymentioning

confidence: 99%

Effects of Strain Rate on Shear Bands and Texture Evolution in Grain-oriented Silicon Steel

Gao

Chen

Zhang

et al. 2022

J. Phys.: Conf. Ser.

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The effects of strain rate on shear bands and texture evolution of grain-oriented silicon steel were investigated by adjusting the strain rate of warm rolling. The rolling experiment was carried out at different strain rates of 30s-1, 50s-1 and 70s-1. XRD, EBSD and TEM were used to investigating the effect of the strain rate on the formation of shear bands and texture evolution. The results show that when strain rate increases during warm rolling, the texture strength of {111 }<112> deformation matrix increases at 70% and 85% reduction. The number of Goss shear bands increases, which is beneficial to obtain the ideal recrystallization orientation. With the increase of the reduction (70-85%), the recrystallized Goss texture strength decreases. This phenomenon diminishes with increasing strain rate, because the increase of dislocation density slows down the death process of shear bands.

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Section: Effect Of Strain Rate On Dislocation Densitymentioning

confidence: 99%

Effects of Strain Rate on Shear Bands and Texture Evolution in Grain-oriented Silicon Steel

Gao

Chen

Zhang

et al. 2022

J. Phys.: Conf. Ser.

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“…Bake hardening behavior of BH steels is extensively studied by many researchers and measured bake hardening response is correlated with microstructure and mechanical properties. 4,7,[9][10][11][12][13] Though numerous research activities are performed about the tensile properties and microstructural relationship of BH grade steels, however, experimental determination of FLC of BH steels is limited and required further investigation. Several theoretical studies are also performed to correlate the sheet metals forming behavior with important tensile properties and deformation temperature.…”

Section: Discussionmentioning

confidence: 99%

Formability study of bake hardening steel and its correlation with microstructure

Das

Kumar

Ahmed

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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In the present study, the bake hardening (BH 240) steel sheet’s formability behavior is studied experimentally based on the Nakajima test method. A forming limit diagram is successfully constructed using universal sheet metal forming machine by offline measuring the strains of deformed specimens. In-process strain measurement based on a digital image correlation technique is also performed for a few selected samples to compare the results with manual strain measurement techniques. All the deformed specimens are also characterized to correlate the sample geometries with hardness values and microstructure. It is observed that the hardness value gradually decreases with an increase in sample width for all the deformed specimens up to the width of 150 mm, except for full-width sample of 200 mm. Microstructural analysis reveals that the morphology of ferrite grains changes with the sample geometry in all the deformed specimens. Microstructural characterization at the top surface of the specimen demonstrates that the aspect ratio of grains is maximum for a 25 mm width sample due to uni-axial stretching. It is also noted that grain’s aspect ratio is close to one (minimum) for a 200 mm width sample due to almost equi-biaxial elongation in grains. It is also observed that the aspect ratio of grains obtained from specimen cross-section indicates that the ratio increases gradually from 25 to 200 mm width samples.

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“…In which, α is shape factor, d is the average grain size, θ is diffraction angle, W is the full-width-half-maximum (FWHM) of the XRD diffraction peak, ρ is the dislocation density, λ is X-ray wave length, K is the magnitude of diffraction vector, M is a constant parameter depending on the effective outer cutoff radius of dislocation, in deformed materials M varies in between 1 and 2, for most instance M was selected as 2 [28,29], O indicates non-interpreted higher order terms, b is the magnitude of the Burgers vector. C is the so called dislocation contrast factor, which is determined by the elastic anisotropy and the dislocation type of the material…”

Section: Dislocation Density Measured By X-ray Diffraction Methodsmentioning

confidence: 99%

Study on the Mechanism and Application of Applying Magnetic Barkhausen Noise to Evaluate Dislocation Density and Plastic Deformation

Kang¹,

Dong²,

Wang³

et al. 2020

Studies in Applied Electromagnetics and Mechanics

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Seven specimens of 45 steel with different residual strains were prepared by homogeneous plastic tensile test. The microstructure of the specimens was observed by scanning electron microscopy and the texture characteristics of the specimens were studied by X-ray diffraction. The results showed that plastic deformation mainly leads to dislocation increment in the microstructure rather than obvious deformed grain morphology, texture and residual stress. Then the dislocation density of each sample was calculated by X-ray diffraction method. The MBN signals of the samples were tested by magnetic Barkhausen noise method and the corresponding RMS (root mean square) values were calculated. The results showed that the dislocation density increases and the RMS value decreases with the increase of plastic deformation magnitude, the phenomenon was explained deeply. By establishing the correlation between dislocation density and RMS value, it was found that there was a good linear relationship between dislocation density and RMS value. According to the formula provided by the fitting curve, the dislocation density can be predicted by measuring the RMS value of any degree of plastic deformation.

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Evolution of Dislocation Density During Tensile Deformation of BH220 Steel at Different Pre-strain Conditions

Cited by 13 publications

References 18 publications

Effects of Strain Rate on Shear Bands and Texture Evolution in Grain-oriented Silicon Steel

Effects of Strain Rate on Shear Bands and Texture Evolution in Grain-oriented Silicon Steel

Formability study of bake hardening steel and its correlation with microstructure

Study on the Mechanism and Application of Applying Magnetic Barkhausen Noise to Evaluate Dislocation Density and Plastic Deformation

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