The development and experimental validation of a numerical model of an induction skull melting furnace

被引:74
|
作者
Bojarevics, V [1 ]
Harding, RA [1 ]
Pericleous, K [1 ]
Wickins, M [1 ]
机构
[1] Univ Greenwich, Sch Comp & Math, London SE10 9LS, England
关键词
Material Transaction; Heat Loss; Liquid Metal; Molten Metal; Induction Coil;
D O I
10.1007/s11663-004-0019-3
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Induction skull melting (ISM) is a widely used process for melting certain alloys that are very reactive in the molten condition, such as those based on Ti, TiAl, and Zr, prior to casting components such as turbine blades, engine valves, turbocharger rotors, and medical prostheses. A major research project has been undertaken with the specific target of developing improved techniques for casting TiAl components. The aims include increasing the superheat in the molten metal to allow thin section components to be cast, improving the quality of the cast components and increasing the energy efficiency of the process. As part of this, the University of Greenwich (United Kingdom) has developed a dynamic, spectral-method-based computer model of the ISM process in close collaboration with the University of Birmingham (United Kingdom), where extensive melting trials have been undertaken. This article describes in detail the numerical model that encompasses the coupled influences of turbulent flow, heat transfer with phase change, and AC and DC magneto-hydrodynamics (MHD) in a time-varying liquid metal envelope. Associated experimental measurements on Al, Ni, and TiAl alloys have been used to obtain data to validate the model. Measured data include the true root-mean-square (RMS) current applied to the induction coil, the heat transfer from the molten metal to the crucible cooling water, and the shape of the semi-levitated molten metal. Examples are given of the use of the model in optimizing the design of ISM furnaces by investigating the effects of geometric and operational parameter changes.
引用
收藏
页码:785 / 803
页数:19
相关论文
共 50 条
  • [41] Development trends in induction furnace technology for melting and pouring applications - Part 2
    Trauzeddel, Dietmar
    Elektrowaerme International, 2015, (04): : 35 - 42
  • [42] Mechanism of skull formation during induction skull melting of intermetallic compounds
    Guo, JJ
    Su, YQ
    Jia, J
    Ding, HS
    Liu, Y
    Ren, ZJ
    INTERNATIONAL JOURNAL OF CAST METALS RESEARCH, 1999, 12 (01) : 35 - 40
  • [43] Glass melting in an electric direct-heated skull furnace
    Ambartsumyan, AG
    Akopyan, GG
    Kostanyan, KA
    GLASS AND CERAMICS, 1997, 54 (5-6) : 139 - 140
  • [44] Integrated simulation method and experimental validation for the vacuum induction melting process
    Li, Shu
    Zhao, Zhan
    Zhang, Tao
    Li, Xin
    Chen, Tingxuan
    Jiang, He
    Dong, Jianxin
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2024, 33 : 1764 - 1775
  • [45] Glass melting in an electric direct-heated skull furnace
    A. G. Ambartsumyan
    G. G. Akopyan
    K. A. Kostanyan
    Glass and Ceramics, 1997, 54 : 139 - 140
  • [46] APPLICATION OF THE CHANNEL INDUCTION FURNACE FOR MELTING ALUMINUM
    HENTSCHEL, F
    FELDMANN, F
    JOURNAL OF METALS, 1982, 34 (07): : 59 - 63
  • [47] Development of numerical model for ballistic resistance evaluation of combat helmet and experimental validation
    Rodriguez-Millan, M.
    Ito, T.
    Loya, J. A.
    Olmedo, A.
    Miguelez, M. H.
    MATERIALS & DESIGN, 2016, 110 : 391 - 403
  • [48] Optimizing Thermal Processing of Broccoli: Model Development, Numerical Simulation, Experimental Validation
    Pero, Milad
    Kiani, Hossein
    Skara, Torstein
    Skipnes, Dagbjorn
    Askari, Gholamreze
    INTERNATIONAL JOURNAL OF FOOD ENGINEERING, 2019, 15 (11-12)
  • [49] KTP LASER TISSUE ABLATION: DEVELOPMENT AND EXPERIMENTAL VALIDATION OF A NEW NUMERICAL MODEL
    Elkhalil, Hossam
    Akkin, Taner
    Bischof, John
    LASERS IN SURGERY AND MEDICINE, 2010, : 14 - 15
  • [50] Development of a numerical model for biomass packed bed pyrolysis based on experimental validation
    Borello, D.
    Cedola, L.
    Frangioni, G. V.
    Meloni, R.
    Venturini, P.
    De Filippis, P.
    de Caprariis, B.
    APPLIED ENERGY, 2016, 164 : 956 - 962