Professional paper

https://doi.org/10.17559/TV-20180717142007

ANN (Artificial Neural Network) Controlled Virtual Laboratory Design for NdFeB Magnet Production

Mustafa Karhan* orcid.org/0000-0001-6747-8971 ; Cankiri Karatekin University, Electronics and Automation Department, Tasmescit Campus, 18100 Cankiri, Turkey
Musa Faruk Çakir orcid.org/0000-0003-2406-372X ; Cankiri Karatekin University, Electronics and Automation Department, Tasmescit Campus, 18100 Cankiri, Turkey

Abstract

Magnets have an important place in electrical and electronic systems and applications nowadays. The developments in the field of magnets have also greatly expanded their usage areas. NdFeB magnets play active and important role in this development. In this study, design of virtual laboratory to be used for the production of nanocomposite NdFeB magnets has been realized. Maximum energy product (BHmax) is an important value for permanent magnets. The high BHmax value in small volume for the magnets is a desired criterion. In the study, mathematical functions were created from the data related to Br (permanent magnetism), Hc (magnetic coercivity), BHmax, Tc (Curie temperature) and density obtained in the researches on different NdFeB alloys in the laboratory. Additionally, Br functions were obtained by adding different additives (Co,Ti, Zr, Hf, V, Ta, Nb, Cr, W, Mo, Mn, Ni, Sb, Sn, Ge, Al, Bi) to the NdFeB magnets. A virtual laboratory is prepared with the created functions. The obtained results from the operation of the virtual laboratory system and the results obtained from Matlab Simulink and ANN (Artificial Neural Network) systems are compared. The designed and performed virtual laboratory system can be used both for industrial purposes and for educational purposes.

Keywords

ANN (Artificial Neural Network); BHmax; nanocomposite; NdFeB; permanent magnet; virtual laboratory

Hrčak ID:

251781

URI

https://hrcak.srce.hr/251781

Publication date:

5.2.2021.

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