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A. Raja

Researcher at Indian Institute of Technology Madras

Publications -  13
Citations -  216

A. Raja is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Microstructure & Superplasticity. The author has an hindex of 5, co-authored 11 publications receiving 108 citations. Previous affiliations of A. Raja include Indian Institute of Technology Roorkee & Indian Institutes of Technology.

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Influence of working environment and built orientation on the tensile properties of selective laser melted AlSi10Mg alloy

TL;DR: In this article, the influence of work environment and anisotropy are studied in this work by keeping all other process parameters including shielding gas pressure constant, and the XRD analysis revealed similarity in the phases formed in samples built under argon and nitrogen environment.
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Effect of layered microstructure on the superplasticity of friction stir processed AZ91 magnesium alloy

TL;DR: Multipass friction stir processing (FSP) was performed in as-cast AZ91 Mg alloy (AC) to generate layered microstructure through the thickness and study its effect on superplasticity as discussed by the authors.
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Effect of friction stir processing on tensile and fracture behaviour of AZ91 alloy

TL;DR: Multipass friction stir processing (FSP) was performed on as-cast (AC) AZ91 magnesium alloy with different tool probe lengths to introduce layered microstructure through the thickness.
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Corrosion Study of Selective Laser Melted IN718 Alloy upon Post Heat Treatment and Shot Peening

TL;DR: In this paper, the authors showed that elimination of the network of the Laves phase in SLM material through heat treatment and smooth surface morphology achieved through shot peening improves the corrosion resistance of Inconel 718 alloy.
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Prediction of Fatigue Crack Growth Behaviour in Ultrafine Grained Al 2014 Alloy Using Machine Learning

TL;DR: While the ELM models outperform the rest of models in terms of training time, curve fitting model showed best performance over testing data with least mean square error (MSE) and back propagation neural networks excel the other two models.