Genetic Algorithm Combined with Finite Element Method for Optimum Design of Ferrofluid Actuator |
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| Camelia Petrescu, Lavinia Ferariu, R.Olaru |
- Abstract:
- This paper presents a case study concerning the optimization of a DC ferrofluid actuator designed to transmit small pressures, using genetic algorithms. The optimization problem consists in finding the values of some mechanical parameters of the actuator as well as those of the magnetic permeabilities of the device components, that render a maximum equivalent force. The magnetic field inside the actuator is determined using the finite element method and the force acting on the flexible parts is calculated using Maxwell’s magnetic tensor.
- Download:
- IMEKO-TC4-2007-044.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2007
- Title:
- XVth IMEKO TC4 International Symposium on Novelties in Electrical Measurements and Instrumentation (together with 12th IMEKO TC4 Workshop on ADC Modelling and Testing)
- Place:
- Iasi, ROMANIA
- Time:
- 19 September 2007 - 21 September 2007