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Phalgun Nelaturu

Researcher at University of North Texas

Publications -  9
Citations -  284

Phalgun Nelaturu is an academic researcher from University of North Texas. The author has contributed to research in topics: Corrosion & Molten salt. The author has an hindex of 4, co-authored 6 publications receiving 159 citations. Previous affiliations of Phalgun Nelaturu include University of Wisconsin-Madison & General Motors.

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Friction stir additive manufacturing for high structural performance through microstructural control in an Mg based WE43 alloy

TL;DR: In this article, a multilayered stack of an Mg-based WE43 alloy was built using FSAM at two different welding parameters, and the maximum hardness of 115 HV was obtained in as-fabricated state and increased to 135 HV after aging.
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Influence of friction stir processing on the room temperature fatigue cracking mechanisms of A356 aluminum alloy

TL;DR: In this article, two sets of parameters were used to friction stir the cast alloy, resulting in the complete modification of the cast microstructure to a wrought microstructures, which exhibited severe abnormal grain growth after heat treatment leading to a multimodal grain size distribution.
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High-throughput ion irradiation of additively manufactured compositionally complex alloys

TL;DR: In this article, a compositional array of unary, binary, ternary, and quaternary alloys, including several compositionally complex alloys (CCAs), was used to accelerate the development of novel alloys for nuclear applications.
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Effect of temperature on the fatigue cracking mechanisms in A356 Al alloy

TL;DR: In this article, two sets of FSP parameters were used to modify the microstructure of the cast alloy, and the results showed that at room temperature, cracks initiated at defect sites or along persistent slip bands (PSBs) and propagated transgranularly.
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Linking process and structure in the friction stir scribe joining of dissimilar materials: A computational approach with experimental support

TL;DR: In this paper, a thermo-mechanical computational model employing a coupled Eulerian-Lagrangian approach is developed to quantitatively capture the morphology of these interlocks during the FSW process.