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Amol A. Gokhale

Researcher at Indian Institute of Technology Bombay

Publications -  93
Citations -  1478

Amol A. Gokhale is an academic researcher from Indian Institute of Technology Bombay. The author has contributed to research in topics: Alloy & Microstructure. The author has an hindex of 19, co-authored 81 publications receiving 1200 citations. Previous affiliations of Amol A. Gokhale include Defence Metallurgical Research Laboratory.

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Compressive Behaviour of Al-Si-Mg/SiCP Foams

TL;DR: In this paper, the authors explored the effect of SiCP size and vol. % on compression behavior of various Al-Si/SiCP foams prepared at DMRL and observed that reinforcement parameters did not seem to play any effective role with respect to foam properties.
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Improving sintering kinetics and compositional homogeneity of Inconel 625 superalloy open-cell foams made by suspension impregnation method

TL;DR: In this article, an open-cell Inconel 625 superalloy foams were prepared by suspension impregnation method which involves replication of pure nickel foam ligaments with a mixed powder suspension and subsequent heat treatments.
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Melting, Processing and Characterization of Nb-10W-2.5Zr (Cb-752) Alloy

TL;DR: In this paper, Cb-752 (Nb-10W-2.5Zr) alloy pancakes were prepared by nonconsumable arc melting process under argon atmosphere using thoriated tungsten electrode.
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Foaming and Compressive Properties of A359/SiCP Metal Matrix Composites

TL;DR: In this article, a commercial MMC (A359-20% SiCP) was remelted, diluted to different particle contents (5 to 20 vol. %), and foamed at a fixed temperature using titanium hydride.
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Effect of Foaming Temperature on Bubble Size Distribution of Liquid Aluminium Foam: Modeling and Experimental Studies

TL;DR: In this paper, the authors examined the effect of foaming temperature on the final foam expansion and the bubble size distribution of liquid aluminium foam through mathematical modeling and validation experiments, and found that the predicted total number of bubbles is one order of magnitude higher than the experiments while the predicted average size is much narrower.