An examination of the factors influencing the melting of solid titanium in liquid titanium

Ou, Jun; Cockcroft, S. L.; Maijer, Daan M.; Lu, Yao; Reilly, Carl; Akhtar, A.

doi:10.1016/j.ijheatmasstransfer.2015.02.054

Cited by 12 publications

(2 citation statements)

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“…Therefore, theoretical investigation and application of different approaches-numerical, statistical, heuristic, etc. [4,18,[24][25][26][27][28][29][30][31][32][33][34][35][36][37][38]-are essential for the understanding and optimization of e-beam melting and refining technology. Consequently, modeling and mathematical optimization of the process parameters are important and key to improving the quality of the obtained pure metal, depending on the concrete characteristic requirements.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of Tantalum Recycling by Electron Beam Melting

Vutova

Vassileva

Koleva

et al. 2016

Metals

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Abstract: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.

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Section: Introductionmentioning

confidence: 99%

“…Investigation aided by an e-beam button furnace and a numerical model for studying the electron beam melting of Al (rich)-Ti solids in liquid titanium are presented in [34]. A numerical method concerning the investigation of the removal of volatile impurities in molten silicon by e-beam melting is presented in [35].…”

Section: Introductionmentioning

confidence: 99%