Computational Modeling of the Dissolution of Alloying Elements

Ou, Jun; Chatterjee, Aniruddha; Reilly, Carl; Maijer, Daan M.; Cockcroft, S. L.

doi:10.1002/9781118356074.ch109

Cited by 3 publications

(3 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%

“…Stationary, quasi-stationary, or non-stationary heat transfer models and the numerical study of complex processes at the interaction of intensive electron beams with materials have been reported for different e-beam melting techniques developed to meet some specific requirements [25][26][27][28][29]31,33]. 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].…”

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%

Section: Introductionmentioning

confidence: 99%

Investigation of Tantalum Recycling by Electron Beam Melting

Vutova

Vassileva

Koleva

et al. 2016

Metals

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“…Due to difficulties in acquiring real time information about the processes in the molten pool [ 1 , 2 ], the successful application and optimization of EBMR depends also on the adequate mathematical modeling of the processes that allow for studying the influence of many technological parameters and the various limiting factors. Stationary and quasi-stationary heat models in this field are already published [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ] and reveal the importance of some process characteristics. In [ 16 ] a finite element based mathematical model to predict the evolution of the temperature and stress during EBMR of solar-grade silicon ingots is also presented.…”

Section: Introductionmentioning

confidence: 99%

Electron Beam Melting and Refining of Metals: Computational Modeling and Optimization

Vutova

Donchev

2013

Materials

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Computational modeling offers an opportunity for a better understanding and investigation of thermal transfer mechanisms. It can be used for the optimization of the electron beam melting process and for obtaining new materials with improved characteristics that have many applications in the power industry, medicine, instrument engineering, electronics, etc. A time-dependent 3D axis-symmetrical heat model for simulation of thermal transfer in metal ingots solidified in a water-cooled crucible at electron beam melting and refining (EBMR) is developed. The model predicts the change in the temperature field in the casting ingot during the interaction of the beam with the material. A modified Pismen-Rekford numerical scheme to discretize the analytical model is developed. These equation systems, describing the thermal processes and main characteristics of the developed numerical method, are presented. In order to optimize the technological regimes, different criteria for better refinement and obtaining dendrite crystal structures are proposed. Analytical problems of mathematical optimization are formulated, discretized and heuristically solved by cluster methods. Using important for the practice simulation results, suggestions can be made for EBMR technology optimization. The proposed tool is important and useful for studying, control, optimization of EBMR process parameters and improving of the quality of the newly produced materials.

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Non-stationary heat model for electron beam melting and refining – An economic and conservative numerical method

Vutova

Donchev

2016

Applied Mathematical Modelling

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Computational Modeling of the Dissolution of Alloying Elements

Cited by 3 publications

References 11 publications

Investigation of Tantalum Recycling by Electron Beam Melting

Investigation of Tantalum Recycling by Electron Beam Melting

Electron Beam Melting and Refining of Metals: Computational Modeling and Optimization

Non-stationary heat model for electron beam melting and refining – An economic and conservative numerical method

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