Title of article :
Large-scale optimal VAR planning by hybrid simulated annealing/genetic algorithm
Author/Authors :
Jwo، Wu-Shun نويسنده , , Liu، Chih-Wen نويسنده , , Liu، Chun-Chang نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1999
Pages :
-38
From page :
39
To page :
0
Abstract :
This paper describes a fatigue life prediction model accounting for high temperature applications of metallic materials. The formulation of the model is for general anisolropy and mulliaxiality of loading. This phenomenological model distinguishes between an initiation phase and a propagation phase, and takes into account oxidation and creep effects on fatigue life. An application of the model is given for a coaled single crystal superaltoy for turbine blades. Model predictions are in good agreement with a large set of experimental data for mechanical loading including thermomechanical fatigue tests. A new experimental device, designed lo produce a thermal gradient in the thickness of thin walled specimens, is also presented. This device has been used with polycrystalline and monocrystalline superalloys. Corresponding life predictions, performed by using recent anisolropic models, are presented for the single crystal superalloy.
Keywords :
Simulated annealing , Genetic algorithm , VAR
Journal title :
INTERNATIONAL JOURNAL OF ELECTRLCAL POWER & ENERGY
Serial Year :
1999
Journal title :
INTERNATIONAL JOURNAL OF ELECTRLCAL POWER & ENERGY
Record number :
9085
Link To Document :
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