Modified Logistic Mixture Model for Statistical Description of TGA Curves of Sweet Sorghum Bagasse:Use in the Isoconversional Calculations
【摘要】：In order to overcome the noise problem when analyzing the experimental thermogravimetric analysis (TGA) data and get the temperature values at various degrees of conversion for different heating rates, a method is proposed which allows for fitting all TGA curves for all different heating rates by the modified logistic 2-mixture model. The model is a combination of two modified logistic functions and a constant. The TGA curves of sweet sorghum bagasse under inert atmosphere for three heating rates are analyzed in this paper. The proposed model and logistic mixture model are used for fitting the experimental TGA curves. The results have shown that the model proposed in this paper gives better than the logistic mixture model. Making use of the data predicted by the proposed model, the activation energy values as a function of conversion are obtained, which are in the range of 140-200 kJ mol-1 when the degree of conversion ranges from 0.05 to 0.85.