Methods to characterize heat release rate data

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Abstract

Methods to characterize experimentally measured heat release rate data are developed. Exponential and t-squared representations are considered in detail; algorithms for these two representations are presented. These characterizations require the selection of two representative data pairs from a measured heat release rate history and evaluation of the peak heat release rate and the total cumulative heat released by a product. A superposition method is developed for the evaluation of composite products. Comparisons with measured heat release rate data are presented for a number of products. The selection of characterization parameters based on basic material properties remains for the future.

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