Ayyappan Gowthaman

Mr. Ayyappan Gowthaman

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 February 2021 in Journal of Materials Engineering and Performance
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Journal Article
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Tushar DandekarTushar Dandekar
Tushar Dandekar
AKAmit Kumar
Amit Kumar
Rajesh KhatirkarRajesh Khatirkar
Rajesh Khatirkar
DMDIKSHA PRAKASH MAHADULE
DIKSHA PRAKASH MAHADULE
AGAyyappan Gowthaman
Ayyappan Gowthaman

18 August 2021 in Physics of Metals and Metallography
Verified
Journal Article
Closed access
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AGAyyappan Gowthaman
Ayyappan Gowthaman
VPV. Pownsamy
V. Pownsamy
PTPranav Tripathi
Pranav Tripathi
DKD. Satish Kumar
D. Satish Kumar
MSM. Swaminathan
M. Swaminathan
SMS. Manjini
S. Manjini
The magnetic properties of cold rolled non-grain oriented (CRNO) electrical steels are determined by the optimum grain size and preferred texture, which are functions of composition, and thermomechanical processing. The annealing process plays an important role in the final magnetic and mechanical properties of CRNO electrical steels. In this work, methodology has been developed for simulating continuous annealing processes using thermomechanical simulator (Gleeble). Cold rolled full hard samples of CRNO steel with Si values 0.3, 0.7, 1.0, and 1.3% were collected and subjected to plant annealing cycles for the temperature range of 780−1000°C. Subsequently, the microstructure, texture and magnetic properties were measured in simulated samples. This paper explains the effect of Si content and final annealing temperature on the grain size and texture, and its impact on magnetic properties such as core loss and permeability. Core loss decreases with increasing annealing temperature up to a certain value and after that increase. This optimum temperature increases with increases in Si content in steel. Permeability decreases continuously with increasing annealing temperature for all Si steel because of the strengthening of magnetically unfavorable gamma fiber [〈111〉//ND (Normal direction)] texture. An empirical relationship was also developed to determine the optimum annealing temperature as a function of Si content. This off line simulation was successfully used to enhance process optimization of new grades by reducing the requirement of online trials that helps in product customization.