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S. Saroja

Researcher at Indira Gandhi Centre for Atomic Research

Publications -  126
Citations -  2224

S. Saroja is an academic researcher from Indira Gandhi Centre for Atomic Research. The author has contributed to research in topics: Microstructure & Alloy. The author has an hindex of 24, co-authored 123 publications receiving 1852 citations. Previous affiliations of S. Saroja include Homi Bhabha National Institute.

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Microstructural stability of modified 9Cr–1Mo steel during long term exposures at elevated temperatures

TL;DR: In this article, the microstructural and microchemical analysis of the secondary phases were carried out using optical and electron microscopy techniques, supported by hardness measurements showed that the lath morphology of the tempered martensite was retained even after 10,000h of aging.
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Development of India-specific RAFM steel through optimization of tungsten and tantalum contents for better combination of impact, tensile, low cycle fatigue and creep properties

TL;DR: In this article, the effects of tungsten and tantalum contents on impact, tensile, low cycle fatigue and creep properties of reduced activation Ferritic-Martensitic (RAFM) steel were studied to develop India-specific RAFM steel.
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Development and characterization of advanced 9Cr ferritic/martensitic steels for fission and fusion reactors

TL;DR: In this article, the results on the physical metallurgy studies in 9Cr Oxide Dispersion Strengthened (ODS) and Reduced Activation Ferritic/Martensitic (RAFM) steels were presented.
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Correlation of microstructure with mechanical properties of TIG weldments of Ti–6Al–4V made with and without current pulsing

TL;DR: In this article, the influence of direct current pulsing on the microstructure, room temperature hardness and tensile properties at four different temperatures of tungsten inert gas (TIG) weldments of Ti-6Al-4V was examined.
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Prediction of microstructural states in Cr-Mo steels using phase evolution diagrams

TL;DR: In this paper, a new concept of phase evolution diagram was introduced and demonstrated its utility in predicting the subsequent microstructural states and assessing the previous thermal history, based only on the information of the composition of the parent matrix.