Effect of twin spacing, dislocation density and crystallite size on the strength of nanostructured α-brass

Kumar, Naveen; Roy, B.H. van; Das, J.

doi:10.1016/j.jallcom.2014.08.131

Cited by 40 publications

(13 citation statements)

References 37 publications

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“…Traditionally there are some methods such as Xray diffraction (XRD) [38][39][40][41], transmission electron microscopy (TEM) [42,43], electron backscatter diffraction (EBSD) [44,45], electron channeling contrast imaging [46], and hydrogen diffusivities [47]. Recently, the dislocation density has been estimated from hardness measurement [48,49].…”

Section: Resultsmentioning

confidence: 99%

Production of nanograin microstructure in steel nanocomposite

Jamaati

Toroghinejad

Amirkhanlou

et al. 2015

Materials Science and Engineering: A

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Section: Resultsmentioning

confidence: 99%

Production of nanograin microstructure in steel nanocomposite

Jamaati

Toroghinejad

Amirkhanlou

et al. 2015

Materials Science and Engineering: A

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“…Dislocation densities (ρ) obtained by XRD and TEM can be observed in Table 1. Both assessments of dislocation density were consistent for deformed ductile metals and with the sample processing history, providing smaller values for annealed materials than for cold rolled samples 10 . The TEM values were larger than the XRD values (Table 1).…”

Section: Resultsmentioning

confidence: 59%

Dislocation Density by X-ray Diffraction in α Brass Deformed by Rolling and ECAE

et al. 2015

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Dislocations are responsible for most aspects of plastic deformation in metals. In this work, the dislocation density, ρ, in brass was estimated after different deformation processes via line broadening of X-ray diffractograms using the Convolutional Multiple Whole Profile Program (CMWP) and by Transmission Electron Microscopy (TEM). In addition, we attempted to evaluate, on a global basis, the influence of crystallographic texture in ρ analysis, making sure that the results obtained by XRD could be trusted even in samples with moderate levels of texture. For this, we compared the ρ values for α brass samples (66% Cu and 34% Zn) with different levels of texture, one deformed by cold rolling and the other by equal channel angular extrusion (ECAE).The results suggest that using CMWP program it was possible to satisfactorily estimate the dislocation density in α brass. It also the was shown that the results by XRD and by TEM were self-consistent in two samples texturized to different degrees.

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“…alloy subjected to various LSP impacts [21] . 2θ of (311) plane [21] Dislocation density, th (10 14 lines/m 2 ) [21] Lattice strain, In low SFE materials, stacking faults formation and twinning occurs and they play an important role for nanostructure and ultrafine grain formation [49][50][51][52] . Coarse grained FCC metals with high stacking fault energy such as aluminum is anticipitated to deform by dislocation slip.…”

Section: Resultsmentioning

confidence: 99%

Effect of multiple laser shock processing on nano-scale microstructure of an aluminum alloy

GencalpIrizalp

Saklakoğlu

2018

CAN

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In this study, nano-scale microstructural evolution in 6061-T6 alloy after laser shock processing (LSP) were studied. 6061-T6 alloy plate were subjected to multiple LSP. The LSP treated area was characterized by X-ray diffraction and the microstructure of the samples was analyzed by transmission electron microscopy. Focused Ion Beam (FIB) tools were used to prepare TEM samples in precise areas. It was found that even though aluminum had high stacking fault energy, LSP yielded to formation of ultrafine grains and deformation faults such as dislocation cells, stacking faults. The stacking fault probability (PSF) was obtained in LSP-treated alloy using X-Ray diffraction. Deformation induced stacking faults lead to the peak position shifts, broadening and asymmetry of diffraction. XRD analysis and TEM observations revealed significant densities of stacking faults in LSP-treated 6061-T6 alloy. And mechanical properties of LSP-treated alloy were also determined to understand the hardening behavior with high concentration of structural defects.

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Effect of twin spacing, dislocation density and crystallite size on the strength of nanostructured α-brass

Cited by 40 publications

References 37 publications

Production of nanograin microstructure in steel nanocomposite

Production of nanograin microstructure in steel nanocomposite

Dislocation Density by X-ray Diffraction in α Brass Deformed by Rolling and ECAE

Effect of multiple laser shock processing on nano-scale microstructure of an aluminum alloy

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