DocumentCode
763214
Title
Unconstrained optimization of coupled magneto-thermal problems
Author
Pham, Tan H. ; Hoole, R.H.
Author_Institution
Harvey Mudd Coll., Claremont, CA, USA
Volume
31
Issue
3
fYear
1995
fDate
5/1/1995 12:00:00 AM
Firstpage
1988
Lastpage
1991
Abstract
The shape optimization of coupled systems by a gradients-based method is presented. The design specifications are in one system, while the critical parameters are in both systems. The method is demonstrated using an induction heating system. The magnetic and thermal models coexist in the same geometry. The eddy currents calculated from the electromagnetic solution is used as the thermal sources for the thermal finite element analysis. The objective is to achieve a required steady state temperature profile by modifying the geometry of the magneto-thermal domain. The objective function, defined as a function of the state variable temperature is no longer linked directly to the design parameters of the magneto-thermal system through the classic design differential equation, describing the electromagnetic fields in sensitivity analysis but through the “coupled” one. The proposed algorithm allows the calculation of the gradient of the object function with respect to the design parameters
Keywords
eddy currents; electromagnetic field theory; finite element analysis; induction heating; optimisation; sensitivity analysis; thermal analysis; FEM; coupled magneto-thermal problems; critical parameters; design specifications; eddy currents; electromagnetic solution; gradients-based method; induction heating system; magnetic model; objective function; sensitivity analysis; shape optimization; steady state temperature profile; thermal finite element analysis; thermal model; unconstrained optimization; Couplings; Eddy currents; Electromagnetic analysis; Finite element methods; Geometry; Magnetic domains; Optimization methods; Shape; Solid modeling; Temperature sensors;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.376432
Filename
376432
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