Optimal control technique for magnet design in inside-out nuclear magnetic resonance

• Published in: IEEE transactions on magnetics Vol. 37; no. 2; pp. 1015 - 1023
• Main Authors: Luong, B., Goswami, J.C., Sezginer, A., Davies, D.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.03.2001; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Building materials; Electronics; Exact sciences and technology; Ferrites; Finite element method; Magnetic device characterization, design, and modeling; Magnetic devices; Magnetic fields; Magnetic materials; Magnetic resonance; Magnetic shielding; Magnetism; Mathematical analysis; Mathematical models; NMR; Nonlinear magnetics; Nonlinearity; Nuclear magnetic resonance; Optimal control; Radio frequency; Segments; Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices; Steel; Studies; Design; Finite element method; Magnet; Theoretical study; Exploration; Numerical simulation; Nuclear magnetic resonance; Magnetic device; Oil well
• ISSN: 0018-9464; 1941-0069
• DOI: 10.1109/20.917186

The magnets used in a family of inside-out nuclear magnetic resonance (NMR) well-logging tools usually consist of several segments of magnet materials, with each segment magnetized differently. In a tool, the magnet is surrounded with a nonlinear magnetic material, such as ferrite or steel, that is primarily used in the RF coil or in shielding the electronic components from strong magnetic fields. The main objective of the tool design is to find a set of magnetization vectors that result in a desired magnetic field profile in a particular region. A typical nonlinear finite-element method (FEM) model of such a design has about quarter of a million unknowns and requires about 35 h of processor time on a Sun Ultra 60 296-MHz machine with 1 GB of RAM. It generally requires many executions of the nonlinear FEM to arrive at a satisfactory design. In this paper, an optimal control technique in conjunction with FEM is proposed to speed up the design process. A magnet built from the design showed excellent agreement between the measured and computed data and validated the numerical method.