Application of Screening Analysis to the Optimization of an Electromagnetic Induction Heating Device

S. Alfonzetti (), E. Dilettoso () and N. Salerno ()
Additional contact information
S. Alfonzetti: Università di Catania, Dipartimento Elettrico, Elettronico e Sistemistico
E. Dilettoso: Università di Catania, Dipartimento Elettrico, Elettronico e Sistemistico
N. Salerno: Università di Catania, Dipartimento Elettrico, Elettronico e Sistemistico

A chapter in Optimization and Inverse Problems in Electromagnetism, 2003, pp 213-221 from Springer

Abstract: Abstract In this paper an induction heating system is optimized using the hybrid FEM-DBCI (Finite Element Method — Dirichlet Boundary Condition Iteration) to evaluate the objective function. In order to reduce the computing time for the whole procedure, Design of Experiments (DOE) techniques are used to screen significant geometric parameters. Once the number of problem variables is decreased, the optimization is performed by means of the Hooke-Jeeves algorithm. The results are compared with those obtained by stochastic optimization of the device.

Keywords: Design Variable; Stochastic Optimization; Induction Heating; Fractional Factorial Design; Screen Analysis (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-017-2494-4_21

Ordering information: This item can be ordered from
http://www.springer.com/9789401724944

DOI: 10.1007/978-94-017-2494-4_21

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().