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Assessment of microInductors for DC-DC converters

Assessment of microInductors for DC-DC converters

Flynn, David, Lu, Hua, Bailey, Christopher and Desmulliez, Marc P.Y. (2006) Assessment of microInductors for DC-DC converters. Proceedings of 2006 International Conference on Electronic Materials and Packaging (EMAP 2006). IEEE. ISBN 978-1-4244-0834-4

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Abstract

There are increasing demands on the power density and efficiency of DC-DC power converters due to the soaring functionality and operational longevity required for today's electronic products. In addition, DC-DC converters are required to operate at new elevated frequencies in the MHz frequency regime. Typical ferrite cores, whose useable flux density falls drastically at these frequencies, have to be replaced and a method of producing compact component windings developed. In this study, two types of microinductors, pot-core and solenoid, for DC-DC converter applications have been analyzed for their performance in the MHz frequency range. The inductors were manufactured using an adapted UV-LIGA process and included electrodeposited nickel-iron and the commercial alloy Vitrovac 6025 as core materials. Using a vibrating sample magnetometer (VSM) and a Hewlett Packard 4192A LF- impedance analyzer, the inductor characteristics such as power density, efficiency, inductance and Q-factor were recorded. Experimental, finite element and analytical results were used to assess the suitability of the magnetic materials and component geometries for low MHz operation.

Item Type: Book Section
Additional Information: Originally presented at 2006 International Conference on Electronic Materials and Packaging (EMAP), Kowloon, China
Uncontrolled Keywords: microinductors, DC-DC, manufacturing processes
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics
Pre-2014 Departments: School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 14 Oct 2016 09:02
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1051

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