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

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

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

Fulltext: english, pdf (820 KB) pages 334-339 downloads: 100* cite
APA 6th Edition
Karhan*, M. & Çakir, M.F. (2021). ANN (Artificial Neural Network) Controlled Virtual Laboratory Design for NdFeB Magnet Production. Tehnički vjesnik, 28 (1), 334-339. https://doi.org/10.17559/TV-20180717142007
MLA 8th Edition
Karhan*, Mustafa and Musa Faruk Çakir. "ANN (Artificial Neural Network) Controlled Virtual Laboratory Design for NdFeB Magnet Production." Tehnički vjesnik, vol. 28, no. 1, 2021, pp. 334-339. https://doi.org/10.17559/TV-20180717142007. Accessed 18 May 2021.
Chicago 17th Edition
Karhan*, Mustafa and Musa Faruk Çakir. "ANN (Artificial Neural Network) Controlled Virtual Laboratory Design for NdFeB Magnet Production." Tehnički vjesnik 28, no. 1 (2021): 334-339. https://doi.org/10.17559/TV-20180717142007
Harvard
Karhan*, M., and Çakir, M.F. (2021). 'ANN (Artificial Neural Network) Controlled Virtual Laboratory Design for NdFeB Magnet Production', Tehnički vjesnik, 28(1), pp. 334-339. https://doi.org/10.17559/TV-20180717142007
Vancouver
Karhan* M, Çakir MF. ANN (Artificial Neural Network) Controlled Virtual Laboratory Design for NdFeB Magnet Production. Tehnički vjesnik [Internet]. 2021 [cited 2021 May 18];28(1):334-339. https://doi.org/10.17559/TV-20180717142007
IEEE
M. Karhan* and M.F. Çakir, "ANN (Artificial Neural Network) Controlled Virtual Laboratory Design for NdFeB Magnet Production", Tehnički vjesnik, vol.28, no. 1, pp. 334-339, 2021. [Online]. https://doi.org/10.17559/TV-20180717142007

Abstracts
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

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