Investigation of Tantalum Recycling by Electron Beam Melting

被引:20
|
作者
Vutova, Katia [1 ]
Vassileva, Vania [1 ]
Koleva, Elena [1 ]
Munirathnam, Nagegownivari [2 ]
Amalnerkar, Dinesh P. [3 ]
Tanaka, Takeshi [4 ]
机构
[1] Bulgarian Acad Sci, Inst Elect, 72 Tzarigradsko shosse, Sofia 1784, Bulgaria
[2] Ctr Mat Elect Technol, Off Pashan Rd, Pune 411008, Maharashtra, India
[3] Sungkyunkwan Univ, Sch Mech Engn, Suwon 16419, South Korea
[4] Hiroshima Inst Technol, Saeki Ku, 2-1-1 Miyake, Hiroshima 7315193, Japan
来源
METALS | 2016年 / 6卷 / 11期
关键词
electron beam; melting; refining; tantalum; impurities; statistical modeling; optimization; NUMERICAL-SIMULATION; HEAT-TRANSFER; PURIFICATION; TITANIUM; SILICON; METALS; OPTIMIZATION; TI-6AL-4V; REMOVAL; ALLOYS;
D O I
10.3390/met6110287
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页数:13
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