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Numerical Simulation of the Junction Temperature, the Coolant Flow Rate and the reliability of an IGBT Module

Numerical Simulation of the Junction Temperature, the Coolant Flow Rate and the reliability of an IGBT Module

Nwanoro, Kenneth Chimezie, Lu, Hua ORCID: 0000-0002-4392-6562, Yin, Chunyan ORCID: 0000-0003-0298-0420 and Bailey, Christopher ORCID: 0000-0002-9438-3879 (2018) Numerical Simulation of the Junction Temperature, the Coolant Flow Rate and the reliability of an IGBT Module. In: THERMINIC 2018 24th International Workshop on Thermal Investigations of ICs and Systems, 26-28 September 2018, Stockholm, Sweden. (Submitted)

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Abstract

By increasing coolant flow rate, the junction temperature of IGBT power modules can be reduced but this is accompanied by undesirable increase in pressure and pumping power. In this paper, numerical simulation and multi-objective optimization methods have been used to obtain a trade-off relationship between reducing IGBT junction temperature and the increase in pressure drop due to increased coolant flow-rate. It is found that the pressure drop increases more than 100% for a 10% reduction in IGBT maximum junction temperature due to the increased coolant flow rate. The impact of the IGBT junction temperature on the power module lifetime has also been investigated. Moreover, an effective and efficient work-flow in integrating numerical methods software results for performing thermo-mechanical analysis under power cycling conditions has been explored.

Item Type: Conference or Conference Paper (Speech)
Additional Information: ISBN: 978-1-5386-6759-0
Uncontrolled Keywords: Power electronics, IGBT, Numerical simulation, CFD, FEA, Reliability
Subjects: Q Science > QA Mathematics
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Centre for Numerical Modelling & Process Analysis (CNMPA)
Faculty of Architecture, Computing & Humanities > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Mechanics & Reliability Group (CMRG)
Faculty of Architecture, Computing & Humanities > Department of Mathematical Sciences
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Last Modified: 20 Mar 2019 11:54
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/21963

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