Application Of Soft Magnetic Composite Materials In Rotating Electrical Machines Synchronous

EasyChair Preprint 4057

Abstract

This work aimed to a study on the application of soft magnetic composite materials in rotor and stator cores of rotating electrical machines. Traditionally, the cores of electrical machines are constructed from laminated steel sheets. The cores developed were obtained by an alternative process of Powder Metallurgy in which iron powder is mixed in different percentages of phenolic resins, compacted and cured. Initially, specimens were prepared to obtain their magnetic and electrical properties, and then simulations were performed using the finite element software FEMM 4.2, considering the topology of a conventional induction motor of 10HP. The simulations were performed considering stator and rotor cores of iron-resin composite material, pure iron sintered and laminated steel sheets for comparative analysis of torque and magnetic flux density of the air gap. The simulated machine constructed by laminated sheets core presented a magnetic flux density 2.02 T and torque 34.49 Nm. The machine by iron cores with 1% resin presented values 2.02 T and 27.10 Nm, respectively. Also were performed tests of these materials in magnetic cores fed with variation of the frequency of electric current, where it was found that, from 500 Hz, the total losses in magnetic cores of composite materials tend to equalize the losses in the laminated sheets core.

Keyphrases: Powder metallurgy, core of electrical machines finite element simulation, soft magnetic materials

@booklet{EasyChair:4057,
  author    = {Moises de Mattos Dias and Sérgio D. Bittencourt and Andrew Rafael Fritsch and Rafael Ftrancisco Niada and Monir G. Borba and Patrice M. Aquim and Eduardo Luis Schneider and José L. Cézar and José C.K. Verney and Luiz Carlos Gertz and Lirio Schaeffer},
  title     = {Application Of Soft Magnetic Composite Materials In Rotating Electrical Machines Synchronous},
  howpublished = {EasyChair Preprint 4057},
  year      = {EasyChair, 2020}}