Nagegownivari Munirathnam

Dr. Nagegownivari Munirathnam


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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1 June 2005 in Bulletin of Materials Science
Verified
Journal Article
Closed access
PDF file
NMNagegownivari Munirathnam
Nagegownivari Munirathnam
DPD. S. Prasad
D. S. Prasad
CSCh. Sudheer
Ch. Sudheer
JRJ. V. Rao
J. V. Rao
TPT. L. Prakash
T. L. Prakash

21 November 2016 in Metals
Verified
Journal Article
Open access
PDF file
Katia VutovaKatia Vutova
Katia Vutova
VVVania Vassileva
Vania Vassileva
Elena KolevaElena Koleva
Elena Koleva
NMNagegownivari Munirathnam
Nagegownivari Munirathnam
DADr.Dinesh Pundalik Amalnerkar Amalnerkar
Dr.Dinesh Pundalik Amalnerkar Amalnerkar
TTTakeshi Tanaka
Takeshi Tanaka
Investigations are carried out and obtained experimental and theoretical data for tantalum scrap recycling by electron beam melting (EBM) is presented in this paper. Different thermal treatment process conditions are realized and results are discussed. A chemical analysis is performed and refining mechanisms for electron beam (EB) refining of Ta are discussed. For the performed experiments the best purification of Ta (99.96) is obtained at 21.6 kW beam power for a melting time of 3 min. A statistical approach is applied for estimation of the material losses and the liquid pool characteristics based on experimentally-obtained data. The aim is to improve the EBM and choosing optimal process conditions, depending on the concrete characteristic requirements. Model-based quality optimization of electron beam melting and refining (EBMR) processes of Ta is considered related to the optimization of the molten pool parameters, connected to the occurring refining processes, and to minimal material losses. Optimization of the process of EBM of Ta is based on overall criteria, giving compromised solutions, depending on the requirements concerning the quality of the performed products. The accumulated data, the obtained results, and the optimization statistical approach allow us to formulate requirements on the process parameters.

1 July 2005 in Bulletin of Materials Science
Verified
Journal Article
Closed access
PDF file
NMNagegownivari Munirathnam
Nagegownivari Munirathnam
DPD. S. Prasad
D. S. Prasad
JRJ. V. Rao
J. V. Rao
TPT. L. Prakash
T. L. Prakash