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  • 2005-2009  (2)
  • 1980-1984
  • 2008  (2)
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  • 2005-2009  (2)
  • 1980-1984
Year
  • 1
    Electronic Resource
    Electronic Resource
    s.l. ; Stafa-Zurich, Switzerland
    Advanced materials research Vol. 32 (Feb. 2008), p. 271-274 
    ISSN: 1662-8985
    Source: Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: A model based on the cellular automaton (CA) technique for the simulation ofsolidification microstructure has been developed. An improved solid fraction calculating method isused, in which the solid fraction of the interface unit is calculated by temperature compensationmethod combined with local equilibrium phase diagram. And then, a quadratic equation of solidfraction can be calculated according to the local temperature, solute concentration and curvature.The method avoids the assumption of the position and shape of solid/liquid interface. By using thismodel on A356 aluminium alloy, a dendrite growth process is simulated. The model can predict thefinal microstructure both grain size and grain morphology. It also predicts the Si concentrationdistribution in both solid and liquid phases
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    s.l. ; Stafa-Zurich, Switzerland
    Key engineering materials Vol. 381-382 (June 2008), p. 443-446 
    ISSN: 1013-9826
    Source: Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Some tags in the radio frequency identification (RFID) application based on the surfaceacoustic wave (SAW) technique often locate in the field of a transceiver simultaneously, leading todifficult identification. In this paper, the digital beamforming technique is applied to identifymultiple SAW ID-tags to address difficulties in identification. The direction of arrivals (DOAs) areused to denote the locations of the tags and the particle swarm optimization (PSO) algorithm issuggested to find the optimal estimates of the DOAs. Once the DOAs are obtained, the arrayweights are then formed and the signals of tags are recovered to implement decoding. Theexperiment results show that a good identification of multiple SAW ID-tags is achieved
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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