Improvement of Heat Release Rate Measurement from Woods Based on Their Combustion Products Temperature Rise

Heat release rate (HRR) is the principal fire characteristic of materials. There are three known methods for measurement HRR (based on oxygen consumption, mass loss rate, and combustion products temperature rise). The method based consumption considered to be reference. However, this expensive a large part laboratories universities unavailable. simplest products’ rise. has fundamental problem with dependence heat capacity thermal inertia system. This been solved by training neural networks predict molar amount substance (chemical amount) flow in cone calorimeter exhaust duct. Data were obtained six different wood species: birch (Betula verrucosa Ehrh.), oak (Quercus robur L.) spruce (Picea abies (L.) H. Karst.), locust (Robinia pseudoacacia L.), poplar (Populus nigra × P. maximowiczii willow (Salix alba woods at fluxes from 25 50 kW m−2 have used network training. other species iroko (Milicia excelsa (Welw.) C.C. Berg), pine (Pinus sylvestris paulownia (Paulownia tomentosa (Thunb.) Steud.) testing trained network. average percentage ratio predicted true value (during test) 103.8%. In addition that, some key characteristics determined: critical flux 20.7 m−2, effective 14.01 MJ kg−1, 0.045 kJ mol−1 K−1.