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Lumped parameter thermal model for fast voice coil temperature prediction

Voice coil (VC) temperature prediction is extremely important to make choices on the magnetic circuit during the pre-design and design phases. The aim of this study is to develop a model able to provide a quick response on the steady-state VC temperature. A lumped parameter thermal model describing the relevant heat transfer phenomena occurring in a working loudspeaker was developed. It was validated against measurements of VC, polar plate and magnet temperatures reached after 2 hours of sinusoidal or pink noise excitation. Differences between predicted and measured temperatures were not significant. By providing a fast and relatively accurate response, this model can be used for VC temperature prediction in the (pre-)design phase.

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Permalink: http://www.aes.org/e-lib/browse.cfm?elib=21051

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