Effects of thermo-mechanical iterations on the grain boundary character distribution of Pb–Ca–Sn–Al alloy

Wang, Weiguo; Guo, Hong

doi:10.1016/j.msea.2006.09.034

Cited by 53 publications

(16 citation statements)

References 18 publications

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“…In recent years, grain boundary engineering (GBE) [1][2][3][4][5][6][7][8] or the optimization of grain boundary character distributions (GBCDs) in some fcc metallic materials with low to medium stacking fault energy has attracted more attention. It has been well recognized that an optimized GBCD is usually characterized by a high frequency of special grain boundaries (specifically referring to the low -CSL boundaries, or CSLBs), a large averaged size of cluster of grains with 3 n (n = 0, 1, 2, 3, .…”

Section: Introductionmentioning

confidence: 99%

“…In addition, less connectivity of susceptible HABs enclosing 3 n CG also enhances this effect. In the decade numerous investigations [1][2][3][4][5][6][7][8] on GBE in some fcc metals with low to medium stacking fault energy paid more attentions to increasing the frequency of low CSLBs, especially 3 n (n = 1, 2, 3) grain boundaries. A geometrical model [12] was proposed by Palumbo et al to assess the contribution of the 3 grain boundaries to the creation of 3 n grain boundaries via twin interactions in fcc materials.…”

Section: Introductionmentioning

confidence: 99%

“…A computer simulation [13] indicated that a maximum twin density of two thirds represents an overestimate. Anyway, a number of experimental data [2][3][4][5][6][7][8] have suggested that 3 grain boundaries do indeed promote the occurrence of 3 n grain boundaries in the distribution. Wang et al proposed that mobile incoherent 3 boundaries [7,8], as a subset of 3 boundaries, were more responsible for the generation of 3 n grain boundaries through the interactions between the mobile 3 n (n = 1, 2, 3) boundaries.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The evolution of cluster of grains with ∑3n relationship in austenitic stainless steel

Fang

Wang

Cai

et al. 2010

Materials Science and Engineering: A

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The evolution of cluster of grains with ∑3n relationship in austenitic stainless steel

Fang

Wang

Cai

et al. 2010

Materials Science and Engineering: A

Self Cite

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“…These boundaries migrate to impinge onto other boundaries to regenerate R3 boundaries. Wang [17] thought that the nuclei of recrystallized grains had incoherent R3 boundaries with the deformed microstructure. The migration and interactions of these boundaries were believed to enhance the proportion of R3 n boundaries.…”

Section: Introductionmentioning

confidence: 99%

Grain Cluster Microstructure and Grain Boundary Character Distribution in Alloy 690

Xia

Zhou

Chen

2009

Metall Mater Trans A

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The effects of thermal-mechanical processing (TMP) on microstructure evolution during recrystallization and grain boundary character distribution (GBCD) in aged Alloy 690 were investigated by the electron backscatter diffraction (EBSD) technique and optical microscopy. The original grain boundaries of the deformed microstructure did not play an important role in the manipulation of the proportion of the R3 n (n = 1, 2, 3…) type boundaries. Instead, the grain cluster formed by multiple twinning starting from a single nucleus during recrystallization was the key microstructural feature affecting the GBCD. All of the grains in this kind of cluster had R3 n mutual misorientations regardless of whether they were adjacent. A large grain cluster containing 91 grains was found in the sample after a small-strain (5 pct) and a high-temperature (1100°C) recrystallization anneal, and twin relationships up to the ninth generation (R3 9 ) were found in this cluster. The ratio of cluster size over grain size (including all types of boundaries as defining individual grains) dictated the proportion of R3 n boundaries.

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“…It is apparent that the combination of deformation and thermal activation energy is sufficient to promote strain induced boundary migration (SIBM) in this sample, which in turn eliminates the strain. During SIBM, interactions between pre-existing R3 boundaries occur resulting in multiple twinning which contributes to the increase in fraction of R3 n boundaries [37,38].…”

Section: One-step Processingmentioning

confidence: 99%

Grain boundary engineering in alloy D9 through thermo-mechanical processing: influence of process variables and aspects of micro-mechanisms

Mandal

Bhaduri

Sarma

2010

Int J Adv Eng Sci Appl Math

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By employing low-strain one-step thermomechanical processing (OTMP) and iterative thermomechanical processing (ITMP) we developed grain boundary engineered microstructure in a Ti-modified austenitic stainless steel (alloy D9). In OTMP, small amount of strain (0, 5, 10 and 15%) was imparted on solution annealed sample and subsequently annealed at various temperatures (1173-1273 K) for different time periods (0.5, 1 and 2 h). A pre-strain of 10-15% followed by annealing at 1273 K for 0.5-2 h has been found to be the suitable OTMP to increase the fraction of R3 n boundaries significantly. ITMP employing 10% thickness reduction followed by annealing at 1273 K for 0.5 h revealed fluctuations in the evolution of R3s. ITMP employing 2.5% thickness reduction per iteration, on the other hand, resulted in continuous increase in R3 boundary fraction and a moderate increase in R9 and R27 boundaries. The role of R3 boundaries on the mechanical properties of GBE processed specimen was studied by correlating the hardness with grain size evaluated with and without considering twin boundaries. The paper also discusses the micro-mechanisms involved during low-strain GBE processes in austenitic stainless steel.

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Effects of thermo-mechanical iterations on the grain boundary character distribution of Pb–Ca–Sn–Al alloy

Cited by 53 publications

References 18 publications

The evolution of cluster of grains with ∑3n relationship in austenitic stainless steel

The evolution of cluster of grains with ∑3n relationship in austenitic stainless steel

Grain Cluster Microstructure and Grain Boundary Character Distribution in Alloy 690

Grain boundary engineering in alloy D9 through thermo-mechanical processing: influence of process variables and aspects of micro-mechanisms

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