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B.L. Xiao
Researcher at Center for Advanced Materials
Publications - 5
Citations - 87
B.L. Xiao is an academic researcher from Center for Advanced Materials. The author has contributed to research in topics: Grain boundary & Strengthening mechanisms of materials. The author has an hindex of 2, co-authored 5 publications receiving 9 citations.
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Structure optimization for improving the strength and ductility of heterogeneous carbon nanotube/Al–Cu–Mg composites
TL;DR: In this paper, the grain size and width of the DZs in the heterogeneous composites could be controlled by high energy ball milling (HEBM) on additional Al-Cu-Mg alloy powders.
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Grain size effect on tensile deformation behaviors of pure aluminum
TL;DR: In this article, a series of ideal materials with average grain sizes range from 0.7μm to 30.0μm containing high fraction of high angle grain boundaries (HAGBs), equiaxed grains and low density of dislocations were produced by friction stir processing (FSP).
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Deformation behavior and strengthening mechanisms in a CNT-reinforced bimodal-grained aluminum matrix nanocomposite
TL;DR: In this article, the authors identify deformation behavior and strengthening mechanisms of a carbon nanotube (CNT)-reinforced bimodal-grained Al-Cu-Mg nanocomposite and its base alloy fabricated by two-step ball milling, powder metallurgy and extrusion.
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Different fatigue behavior between tension-tension and tension-compression of carbon nanotubes reinforced 7055 Al composite with bimodal structure
TL;DR: In this paper, the tension-tension/tension-compression fatigue behaviors of bimodal structure CNT/7055Al composites consisting of ultra-fine grain (UFG) zones rich of CNTs and coarse grain (CG) bands free of carbon nanotube (CNTs) were investigated and the corresponding damage mechanisms were analyzed.
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Finite Element Prediction of the Thermal Conductivity of GNP/Al Composites
TL;DR: A 3D multi-scale finite element model was developed to predict the effective thermal conductivity of GNP/Al composites, including the orientation, shape, aspect ratio, configuration and volume fraction of GNPs.