Optimal Design fo a Portable Nuclear Magnetic Resonance Flow Meter

Sunil Sonwan, Mahmoud Meribout

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a Halbach array-based Nuclear Magnetic Resonance (NMR) device for multiphase flow measurement is suggested. The design approach used simultaneously a three dimensional (3D) Finite-Element-Method (FEM)-based software combined with Particle Swarm Optimization (PSO) algorithm. The goal of the design is to generate a relatively intense and highly homogenous magnetic field inside the target sensing area using a compact and light weight magnets array. Simulation results on a device consisting of 12 Halbach arrays, each consisting of twelve (12) cuboid permanent magnet elements of size 20 mm × 20 mm × 46.5 mm size indicate that a highly homogenous magnetic field distribution of 0.890 Tesla maximal intensity and 606 ppm homogeneity could be achieved within a probe cross section of 40 mm diameter when the Halbach arrays are distant from each other by a distance of 4 mm. This is adequate for the desired application while it leads to a light and compact overall Halbach array of 21.6 kg weight and 600 mm length.

Original languageBritish English
Title of host publication2019 Advances in Science and Engineering Technology International Conferences, ASET 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538682715
DOIs
StatePublished - 14 May 2019
Event2019 Advances in Science and Engineering Technology International Conferences, ASET 2019 - Dubai, United Arab Emirates
Duration: 26 Mar 201910 Apr 2019

Publication series

Name2019 Advances in Science and Engineering Technology International Conferences, ASET 2019

Conference

Conference2019 Advances in Science and Engineering Technology International Conferences, ASET 2019
Country/TerritoryUnited Arab Emirates
CityDubai
Period26/03/1910/04/19

Keywords

  • Halbach array
  • Nuclear Magnetic Resonance (NMR)
  • Particle Swarm Optimization (PSO)

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