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Tracy W. Nelson

Researcher at Brigham Young University

Publications -  69
Citations -  4673

Tracy W. Nelson is an academic researcher from Brigham Young University. The author has contributed to research in topics: Friction stir welding & Welding. The author has an hindex of 32, co-authored 66 publications receiving 4084 citations.

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Microstructural investigation of friction stir welded 7050-T651 aluminium

TL;DR: In this paper, the grain structure, dislocation density and second phase particles in various regions including the dynamically recrystallized zone (DXZ), thermo-mechanically affected zone (TMAZ), and heat-affected zone (HAZ) of a friction stir weld aluminum alloy 7050-T651 were investigated and compared with the unaffected base metal.
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Microstructure evolution during FSW/FSP of high strength aluminum alloys

TL;DR: In this paper, the microstructure evolutions during friction stir welding (FSW)/FSP has been revealed, including dDRX, grain growth, dislocation introduction, dynamic recovery (DRV), and cDRX.
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Microstructure and mechanical properties of friction stir welded SAF 2507 super duplex stainless steel

TL;DR: In this article, the microstructure and mechanical properties of friction stir welded SAF 2507 super duplex stainless steel were examined and high quality, full-penetration welds were successfully produced in the super-duplex stainless steel by friction stir welding (FSW) using polycrystalline cubic boron nitride (PCBN) tool.
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Friction stir processing of large-area bulk UFG aluminum alloys

TL;DR: In this article, friction stir processing (FSP) was used to refine the grain size in commercial 7075 Al to a sub-micrometer scale (∼250 nm) and the resulting microstructural characteristics were studied.
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Friction model for friction stir welding process simulation: Calibrations from welding experiments

TL;DR: In this article, an accurate 3D finite element simulation of the Friction Stir Welding (FSW) process requires a proper knowledge of both material and interface behaviors, but friction, the key phenomenon of this process is quite difficult to model and identify.