MEASUREMENT AND MODELLING OF GRADIENT MAGNETIC FIELDS FOR BIO-CHEMICAL SEPARATION PROCESSES

  • Hatice Bilgili Inonu University
  • Teymuraz Abbasov Department of Electrical and Electronics Engineering, Inonu University, 44280 Malatya, Turkey
  • Yusuf Baran Department of Biomedical Engineering, Inonu University, 44280 Malatya, Turkey https://orcid.org/0000-0003-3423-0771
Keywords: Magnetic Field Intensity, Magnetic Field Gradient, Biomagnetic Separation, Ndfeb Magnet, Magnetic Drug Targeting

Abstract

Separation processes are widely used in chemical and biotechnical processes. Especially biomagnetic separation is an important issue among effective separation processes to separate the magnetic micron and submicron particles. It is necessary to establish and determine a high magnetic field or field gradient in the separation cell. However, it is not easy to determine the magnetic field gradient in the working region for different separation in practice. The reason for these difficulties is that the magnetic cells used in biochemical separation have different geometries and there are no simple and useful systems to easily measure these magnetic fields. Two main objectives are aimed in this study. First, a simple measuring device design can measure gradient magnetic fields with high precision of about 0,01mm and, secondly, obtain simple empirical expressions for the magnetic field. A magnetometer with Hall probes that works with the 3D printer principle was designed and tested to measure the magnetic field. Magnetic field changes were measured according to the surface coordinates on the measurement platform or measuring cell. Numerous experimental measurements of gradient magnetic fields generated by permanent magnets have been taken. The results obtained from the studies and results from the proposed empirical models were compared.

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Published
2021-04-10
How to Cite
Bilgili, H., Abbasov, T., & Baran, Y. (2021). MEASUREMENT AND MODELLING OF GRADIENT MAGNETIC FIELDS FOR BIO-CHEMICAL SEPARATION PROCESSES. International Journal of Engineering Science Technologies, 5(2), 69-80. https://doi.org/10.29121/ijoest.v5.i2.2021.174