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  • Electronic Resource  (2)
  • ELECTRODEPOSITEDNi-La2O3  (1)
  • Global optimization  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Oxidation of metals 51 (1999), S. 317-331 
    ISSN: 1573-4889
    Keywords: OXIDATION ; γ-TiAl INTERMETALLIC ; ELECTRODEPOSITEDNi-La2O3 ; COMPOSITE FILM
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract A coating of nickel withLa2O3 particles waselectrodeposited on the surface of γ-TiAl toimprove its high-temperature oxidation resistance. Theexperimental results showed that contrary to theoxidation of bare specimens, the electrodepositedNi-La2O3 composite-coated onesexhibited much better resistance to both isothermal andcyclic oxidation in air at 1000 and 900°C. For theoxidation of the Ni-La2O3 composite-coated γ-TiAl EPMA/EDX microanalyses revealed that after the composite film had beenthoroughly oxidized, a La2O3-richNiO layer close to the gas-scale interface and twoalumina-rich layers, with one beneath the NiO layer and the otheradjacent to the γ-TiAl matrix, were produced inthe scale. The results indicated that the preferentiallyformed La2O3-doped NiO layerretarded the growth of rutile and favored the formation of twoalumina-rich layers. The mechanism of the effect of theelectrodeposited Ni-La2O3composite on the oxidation behavior of γ-TiAl isdiscussed in detail.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of optimization theory and applications 98 (1998), S. 431-448 
    ISSN: 1573-2878
    Keywords: Global optimization ; partitioned random search ; sequential sampling ; dynamic programming
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The paper studies the optimal sequential sampling policy of the partitioned random search (PRS) and its approximation. The PRS is a recently proposed approach for function optimization. It takes explicitly into consideration computation time or cost, assuming that there exist both a cost for each function evaluation and a finite total computation time constraint. It is also motivated at improving efficiency of the widely used crude random search. In particular, the PRS considers partitioning the search region of an objective function into K subregions and employing an independent and identically distributed random sampling scheme for each of K subregions. A sampling policy decides when to terminate the sampling process or which subregion to be sampled next.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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