Prediction of heat release rate of upholstered furniture using integral formulation

A mathematical model to predict the heat release rate of pieces of furniture from cone calorimeter data is presented. The model is based on a convolution product of time derivative of effective burning area with the corresponding cone calorimeter heat release rate. The an apriori unknown effective burning area is solved by regularised inverse scheme by using large scale test results of pieces of furniture and their standard cone calorimeter data. The model estimates reasonably well the furniture calorimeter heat release rate (**) of upholstered armchairs using the cone calorimeter heat release rate ** and soft mass of the chair