• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
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  • 한국과학기술단체총연합회
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Title Shape Optimization of Electric Machine Considering Uncertainty of Design Variable by Stochastic Finite Element Method
Authors 허진(Hur, Jin) ; 홍정표(Hong, Jung-Pyo)
Page pp.219-225
ISSN 1975-8359
Keywords Robust ; Tolerance ; Uncertainty ; Shape Optimization ; Stochastic Finite element
Abstract This paper presents the shape optimization considering the uncertainty of design variable to find robust optimal solution that has insensitive performance to its change of design variable. Stochastic finite element method (SFEM) is used to treat input data as stochastic variables. It is method that the potential values are series form for the expectation and small variation. Using correlation function of their variables, the statistics of output obtained form the input data distributed. From this, design considering uncertainty of design variables.