Akademik Veri Yönetim Sistemi
EURO ASIA 8th. INTERNATIONAL CONGRESS ON APPLIED SCIENCES, Toskent, Özbekistan, 15 - 16 Mart 2021, ss.114-115
CRITICAL MAGNETIC MATERIALS USING IN TRANSFORMER CORES OF AEROSPACE INDUSTRY
Prof. Dr. Dr. Naim
DEREBAŞI
Physics Department, Bursa Uludag University, Gorukle Bursa, 16059,
Turkey
naim@uludag.edu.tr, 05326466926
ORCID: https://orcid.org/0000-0003-2546-0022
ABSTRACT
Power loss, permeability,
remenance, coercivity and weight of magnetic cores are becoming important
criteria for economy, efficiency and performance consideration for design of
power conversation equipment in aerospace industry. Performance requirements
vary widely in traditional and emerging materials. This choice is often made
more difficult because of a lack of suitable comparative magnetic data measured
under different magnetising frequency conditions.
Grain oriented 3% SiFe is traditionally used widely,
however recent competing materials such as amorphous and nanocrystalline with
improved magnetic properties are being produced. The combination of high
permeability and low core loss of amorphous ribbon materials make them suitable
for wound cores applications. The lack of crystalline structure in the atomic
structure of amorphous alloys produces advantages over existing magnetic
materials. The superior magnetic and .mechanical properties as well as their
low cost have attracted to use them in many industrial application and various
types of sensors and transducers.
Nanocrystalline materials are mostly used for medium
to high frequency applications because of their higher magnetic permeability
and high operating flux density and small sizes.
In this research direct comparison of ac properties
of toroidal cores made from wound grain oriented 3%SiFe, amorphous and nano-crystalline
strip materials was investigated. Measurements on toroidal cores were carried
out using a system comprising a magnetisation circuit including a signal
waveform source, an amplifier and a matching transformer and two high precision
multimeters in order to monitor the primary current and secondary induced
voltage.
Recently, artificial
neural networks have
successfully been used for the prediction of magnetic performance in
electromagnetic devices made from soft magnetic materials. In these materials,
flux density distribution must be known for power loss calculation, material
selection and core design. It is possible to calculate them under some assumptions;
however, it is difficult to measure them experimentally. Artificial neural network and MATLAB® Curve Fitting ToolboxTM are used to analyse data obtained from measurements in
prediction and calculation of magnetic properties of toroidal cores. Prediction
of magnetic performance with improving model and a simple analytical equation giving accurate results as depending on
experimental results for each core tested made of different material have been
determined. The results obtained from improving ANN model and analytical
equations are in good agreement with experimental results.
Key words: electrical steels, amorphous
and nanocrystalline materials, artificial neural networks,