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Magnetically levitated motor systems based around bearingless motors and generators and magnetic bearings offer a potential step change improvement in motor system lifetime and efficiency, solve critical challenges related to oil-lubricated contact bearings, and feature prognostic capabilities for condition-based maintenance. Acceptance of this technology has been historically limited by challenges related to cost, design and control complexity, manufacturing issues, and low force density. However, recent advances in supporting technologies enable new approaches to address these challenges. These advancements include the commercialization of wide bandgap semiconductor devices, high performance and low-cost embedded systems, additive manufacturing of metals, advanced iron alloys, and a new generation of simulation and design software. By leveraging these advancements, fundamentally new magnetically levitated motor system concepts are now possible, as well as significant improvement to existing levitation technology.
High impact applications span the entire range of motor and generator technology, including compressor systems, high speed alternators, flywheel energy storage equipment, and low speed direct-drive motor systems. This special section is intended to attract papers which address important and timely topics related to the design, development, analysis, and operation of magnetically levitated motor technology. Contributions which report on recent advancements in enabling and supporting technologies to increase the overall system performance in terms of efficiency, power density, reliability, lifetime and production costs are particularly encouraged.
The guest editorial team solicits original research papers with novel contributions in all aspects of magnetically levitated motor systems. Topics of interest include, but are not limited to:
Authors who wish to submit a paper for consideration must submit an extended abstract (free format, PDF
version, recommended length of 2 pages). The extended abstract should state the significance of the contribution of their paper, including the following information:
The extended abstract should be sent to Professor Eric L. Severson at the University of Wisconsin-Madison, USA to the email address below, email@example.com.
Authors who submit an accepted abstract will receive a formal invitation with detailed instructions for submission of the complete manuscript to the IAS ScholarOne Manuscripts site. Refer to http://www.ias.org for general information about electronic submission through ScholarOne Manuscripts. Manuscripts submitted for this Special Issue will be reviewed separately and will be handled by a Guest Editorial Board.
Due to the coronavirus pandemic, the special section timeline is modified as indicated below. Decisions on whether extended abstracts are of interest to the special section will be decided on a rolling basis, within four weeks of abstract submission. An invitation to submit a full paper will be issued at the time of abstract acceptance. Papers that complete the review process ahead of schedule will be available in IEEE Xplore as Early Access articles.
January 1, 2020 – Call for papers issued
June 1, 2020 – Editorial board will begin accepting extended abstracts
September 21, 2020 – Final deadline for submitting an extended abstract
November 10, 2020 – Deadline for submitting initial manuscript of full paper
May 8, 2021 – Notification of final decisions
June 5, 2021 – Deadline for submission of final files, early access preprint in IEEE Xplore
Publication scheduled for November/December 2021 Issue
Akira Chiba, Tokyo Institute of Technology, Japan – CA/TCPRC, firstname.lastname@example.org
Eric L. Severson, University of Wisconsin-Madison, USA, email@example.com
Gerd Bramerdorfer, Johannes Kepler University Linz, Austria
Wolfgang Gruber, Johannes Kepler University Linz, Austria
Marko Hinkkanen, Aalto University, Finland
Masahide Ooshima, Tokyo University of Science, Japan
Yves Perriard, Ecole Polytechnique Fédérale de Lausanne, Switzerland
Andres O. Salazar, Federal University of Rio Grande do Norte, Brazil
Richard M. Stephan, Federal University of Rio de Janeiro, Brazil
David Trumper, Massachusetts Institute of Technology, USA